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ORCIDYa Zhang 0002
张娅
Person information
- unicode name: 张娅
- affiliation: Shanghai Jiao Tong University, Cooperative Medianet Innovation Center / Shanghai Key Laboratory of Multimedia Processing and Transmissions, China
Other persons with the same name
- Ya Zhang — disambiguation page
- Ya Zhang 0001
![[0000-0002-3366-9304]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3366-9304")
— Southeast University, School of Automation, Nanjing, China - Ya Zhang 0003 — Harbin Institute of Technology, School of Electrical Engineering and Automation, Harbin, China (and 1 more)
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2020 – today
- 2024
[j65]Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. 95: 103206 (2024)- [j64]Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, Ya Zhang, Siheng Chen, Yanfeng Wang:
Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning. Neural Networks 170: 564-577 (2024) - [j63]Xu Chen, Yuangang Pan, Ivor W. Tsang, Ya Zhang:
Learning node representations against perturbations. Pattern Recognit. 145: 109976 (2024) - [j62]Yuhang Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Yanfeng Wang:
Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental Learning. IEEE Trans. Image Process. 33: 4966-4981 (2024) - [j61]Weiming Mai, Jiangchao Yao, Chen Gong, Ya Zhang, Yiu-Ming Cheung, Bo Han:
Server-Client Collaborative Distillation for Federated Reinforcement Learning. ACM Trans. Knowl. Discov. Data 18(1): 9:1-9:22 (2024) - [j60]Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification. IEEE Trans. Medical Imaging 43(8): 2901-2912 (2024) - [j59]Qinwei Xu, Ruipeng Zhang, Ya Zhang, Yiyan Wu, Yanfeng Wang:
Federated Adversarial Domain Hallucination for Privacy-Preserving Domain Generalization. IEEE Trans. Multim. 26: 1-14 (2024) - [j58]Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4768-4782 (2024) - [c179]Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He:
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. AAAI 2024: 17709-17717 - [c178]Jinxiang Liu, Yikun Liu, Fei Zhang, Chen Ju, Ya Zhang, Yanfeng Wang:
Audio-Visual Segmentation via Unlabeled Frame Exploitation. CVPR 2024: 26318-26329 - [c177]Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. CVPR 2024: 27371-27380 - [c176]Linyu Xing, Mengxi Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Pre-Post Interaction Learning for Brain Tumor Segmentation with Missing MRI Modalities. ICASSP 2024: 1711-1715 - [c175]Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang:
On Harmonizing Implicit Subpopulations. ICLR 2024 - [c174]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Learning Multi-Agent Communication from Graph Modeling Perspective. ICLR 2024 - [c173]Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts. ICLR 2024 - [c172]Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang:
Long-tailed Diffusion Models with Oriented Calibration. ICLR 2024 - [c171]Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang:
Diversified Batch Selection for Training Acceleration. ICML 2024 - [c170]Ziqing Fan, Shengchao Hu, Jiangchao Yao, Gang Niu, Ya Zhang, Masashi Sugiyama, Yanfeng Wang:
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization. ICML 2024 - [c169]Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. ICML 2024 - [c168]Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
Q-value Regularized Transformer for Offline Reinforcement Learning. ICML 2024 - [c167]Yuhang Zhou, Zihua Zhao, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters. ICML 2024 - [c166]Yuhang Zhou, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Reprogramming Distillation for Medical Foundation Models. MICCAI (11) 2024: 533-543 - [c165]Zihan Zheng, Houqiang Zhong, Qiang Hu, Xiaoyun Zhang, Li Song, Ya Zhang, Yanfeng Wang:
HPC: Hierarchical Progressive Coding Framework for Volumetric Video. ACM Multimedia 2024: 7937-7946 - [c164]Jinxiang Liu, Yu Wang, Chen Ju, Chaofan Ma, Ya Zhang, Weidi Xie:
Annotation-free Audio-Visual Segmentation. WACV 2024: 5592-5602 - [i158]Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yan-Feng Wang, Hui Zhao:
Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation. CoRR abs/2402.08892 (2024) - [i157]Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yan-Feng Wang, Hui Zhao:
Learning-based Bone Quality Classification Method for Spinal Metastasis. CoRR abs/2402.08910 (2024) - [i156]YiQiu Guo, Yuchen Yang, Ya Zhang, Yu Wang, Yanfeng Wang:
DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics. CoRR abs/2402.11481 (2024) - [i155]Pengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, Weixiong Lin, Haicheng Wang, Ya Zhang, Yanfeng Wang, Weidi Xie:
Towards Building Multilingual Language Model for Medicine. CoRR abs/2402.13963 (2024) - [i154]Jinxiang Liu, Yikun Liu, Fei Zhang, Chen Ju, Ya Zhang, Yanfeng Wang:
Audio-Visual Segmentation via Unlabeled Frame Exploitation. CoRR abs/2403.11074 (2024) - [i153]Zhaoyang Lyu, Ben Fei, Jinyi Wang, Xudong Xu, Ya Zhang, Weidong Yang, Bo Dai:
GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation. CoRR abs/2403.11990 (2024) - [i152]Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang:
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CoRR abs/2403.12570 (2024) - [i151]Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong, Ya Zhang, Yanfeng Wang:
ReMamber: Referring Image Segmentation with Mamba Twister. CoRR abs/2403.17839 (2024) - [i150]Aofan Jiang, Chaoqin Huang, Qing Cao, Yuchen Xu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang:
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning. CoRR abs/2404.04935 (2024) - [i149]Xiao Zhou, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Weidi Xie, Yanfeng Wang:
Knowledge-enhanced Visual-Language Pretraining for Computational Pathology. CoRR abs/2404.09942 (2024) - [i148]Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao, Jiayu Lei, Ya Zhang, Yanfeng Wang, Weidi Xie:
RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis. CoRR abs/2404.16754 (2024) - [i147]Yuhang Zhou, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Low-Rank Knowledge Decomposition for Medical Foundation Models. CoRR abs/2404.17184 (2024) - [i146]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Learning Multi-Agent Communication from Graph Modeling Perspective. CoRR abs/2405.08550 (2024) - [i145]Zihan Zheng, Houqiang Zhong, Qiang Hu, Xiaoyun Zhang, Li Song, Ya Zhang, Yanfeng Wang:
JointRF: End-to-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression. CoRR abs/2405.14452 (2024) - [i144]Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. CoRR abs/2405.16996 (2024) - [i143]Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
Q-value Regularized Transformer for Offline Reinforcement Learning. CoRR abs/2405.17098 (2024) - [i142]Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. CoRR abs/2405.18080 (2024) - [i141]Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts. CoRR abs/2405.18861 (2024) - [i140]Ziqing Fan, Shengchao Hu, Jiangchao Yao, Gang Niu, Ya Zhang, Masashi Sugiyama, Yanfeng Wang:
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization. CoRR abs/2405.18890 (2024) - [i139]Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data. CoRR abs/2405.18972 (2024) - [i138]Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Ya Zhang, Yanfeng Wang:
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping. CoRR abs/2405.18983 (2024) - [i137]Shuyang Jiang, Yusheng Liao, Ya Zhang, Yu Wang, Yanfeng Wang:
TAIA: Large Language Models are Out-of-Distribution Data Learners. CoRR abs/2405.20192 (2024) - [i136]Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang:
Diversified Batch Selection for Training Acceleration. CoRR abs/2406.04872 (2024) - [i135]Chaoqin Huang, Haoyan Guan, Aofan Jiang, Yanfeng Wang, Michael W. Spratling, Xinchao Wang, Ya Zhang:
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning. CoRR abs/2406.08810 (2024) - [i134]Yuhang Zhou, Zihua Zhao, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters. CoRR abs/2406.09679 (2024) - [i133]Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
RaTEScore: A Metric for Radiology Report Generation. CoRR abs/2406.16845 (2024) - [i132]Yuhang Zhou, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Reprogramming Distillation for Medical Foundation Models. CoRR abs/2407.06504 (2024) - [i131]Zihan Zheng, Houqiang Zhong, Qiang Hu, Xiaoyun Zhang, Li Song, Ya Zhang, Yanfeng Wang:
HPC: Hierarchical Progressive Coding Framework for Volumetric Video. CoRR abs/2407.09026 (2024) - [i130]Aofan Jiang, Chaoqin Huang, Qing Cao, Yuchen Xu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang:
Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG Diagnosis. CoRR abs/2408.17154 (2024) - 2023
- [j57]Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang:
Latent Class-Conditional Noise Model. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9964-9980 (2023) - [j56]Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Ya Zhang, Siheng Chen, Yanfeng Wang:
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13297-13313 (2023) - [j55]Qinwei Xu, Ruipeng Zhang, Ziqing Fan, Yanfeng Wang, Yiyan Wu, Ya Zhang:
Fourier-based augmentation with applications to domain generalization. Pattern Recognit. 139: 109474 (2023) - [j54]Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, Yanfeng Wang:
Self-Supervised Tumor Segmentation With Sim2Real Adaptation. IEEE J. Biomed. Health Informatics 27(9): 4373-4384 (2023) - [j53]Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Yanfeng Wang, Ya Zhang:
Federated Learning under Partially Disjoint Data via Manifold Reshaping. Trans. Mach. Learn. Res. 2023 (2023) - [j52]Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou:
Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j51]Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, Ya Zhang:
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization. IEEE Trans. Multim. 25: 4426-4438 (2023) - [j50]Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, Qi Tian:
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization. IEEE Trans. Multim. 25: 6688-6701 (2023) - [j49]Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su:
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation. ACM Trans. Inf. Syst. 41(1): 14:1-14:31 (2023) - [c163]Chuyun Shen, Wenhao Li, Ya Zhang, Yanfeng Wang, Xiangfeng Wang:
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation. BIBM 2023: 3550-3557 - [c162]Haoning Wu, Xiaoyun Zhang, Weidi Xie, Ya Zhang, Yan-Feng Wang:
Boost Video Frame Interpolation via Motion Adaptation. BMVC 2023: 179-181 - [c161]Yikun Liu, Jiangchao Yao, Ya Zhang, Yan-Feng Wang, Weidi Xie:
Zero-shot Composed Text-Image Retrieval. BMVC 2023: 381 - [c160]Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai:
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models. CVPR 2023: 271-280 - [c159]Zhixin Wang, Ziying Zhang, Xiaoyun Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang:
DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration. CVPR 2023: 1704-1713 - [c158]Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang:
Federated Domain Generalization with Generalization Adjustment. CVPR 2023: 3954-3963 - [c157]Qinwei Xu, Ruipeng Zhang, Yiyan Wu, Ya Zhang, Ning Liu, Yanfeng Wang:
SimDE: A Simple Domain Expansion Approach for Single-source Domain Generalization. CVPR Workshops 2023: 4798-4808 - [c156]Mengxi Chen, Linyu Xing, Yu Wang, Ya Zhang:
Enhanced Multimodal Representation Learning with Cross-modal KD. CVPR 2023: 11766-11775 - [c155]Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Qi Tian, Yanfeng Wang:
Distilling Vision-Language Pre-Training to Collaborate with Weakly-Supervised Temporal Action Localization. CVPR 2023: 14751-14762 - [c154]Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang:
Class-Balancing Diffusion Models. CVPR 2023: 18434-18443 - [c153]Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
Open-vocabulary Object Segmentation with Diffusion Models. ICCV 2023: 7633-7642 - [c152]Qingyao Xu, Weibo Mao, Jingze Gong, Chenxin Xu, Siheng Chen, Weidi Xie, Ya Zhang, Yanfeng Wang:
Joint-Relation Transformer for Multi-Person Motion Prediction. ICCV 2023: 9782-9792 - [c151]Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis. ICCV 2023: 21315-21326 - [c150]Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang:
Long-Tailed Partial Label Learning via Dynamic Rebalancing. ICLR 2023 - [c149]Ruipeng Zhang, Ziqing Fan, Qinwei Xu, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging. MICCAI (3) 2023: 14-24 - [c148]Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang:
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. MICCAI (1) 2023: 87-97 - [c147]Weixiong Lin, Ziheng Zhao, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, Weidi Xie:
PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents. MICCAI (8) 2023: 525-536 - [c146]Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang:
Combating Representation Learning Disparity with Geometric Harmonization. NeurIPS 2023 - [c145]Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data. NeurIPS 2023 - [c144]Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Ya Zhang, Yanfeng Wang:
Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation. NeurIPS 2023 - [c143]Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang:
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow. NeurIPS 2023 - [c142]Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation. NeurIPS 2023 - [i129]Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training. CoRR abs/2301.02228 (2023) - [i128]Chaoyi Wu, Feng Chang, Xiao Su, Zhihan Wu, Yanfeng Wang, Ling Zhu, Ya Zhang:
Integrating features from lymph node stations for metastatic lymph node detection. CoRR abs/2301.03202 (2023) - [i127]Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
Guiding Text-to-Image Diffusion Model Towards Grounded Generation. CoRR abs/2301.05221 (2023) - [i126]Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang:
Long-Tailed Partial Label Learning via Dynamic Rebalancing. CoRR abs/2302.05080 (2023) - [i125]Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang:
Latent Class-Conditional Noise Model. CoRR abs/2302.09595 (2023) - [i124]Chen Ju, Haicheng Wang, Jinxiang Liu, Chaofan Ma, Ya Zhang, Peisen Zhao, Jianlong Chang, Qi Tian:
Constraint and Union for Partially-Supervised Temporal Sentence Grounding. CoRR abs/2302.09850 (2023) - [i123]Chaoyi Wu, Xiaoman Zhang, Yanfeng Wang, Ya Zhang, Weidi Xie:
K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging. CoRR abs/2302.11557 (2023) - [i122]Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, Weidi Xie:
Knowledge-enhanced Pre-training for Auto-diagnosis of Chest Radiology Images. CoRR abs/2302.14042 (2023) - [i121]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Graph Decision Transformer. CoRR abs/2303.03747 (2023) - [i120]Zhixin Wang, Xiaoyun Zhang, Ziying Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang:
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration. CoRR abs/2303.06885 (2023) - [i119]Weixiong Lin, Ziheng Zhao, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, Weidi Xie:
PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents. CoRR abs/2303.07240 (2023) - [i118]Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai:
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models. CoRR abs/2303.07938 (2023) - [i117]Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Jinxiang Liu, Yu Wang, Ya Zhang, Yanfeng Wang:
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery. CoRR abs/2303.09813 (2023) - [i116]Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang:
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning. CoRR abs/2303.10692 (2023) - [i115]Chen Ju, Zeqian Li, Peisen Zhao, Ya Zhang, Xiaopeng Zhang, Qi Tian, Yanfeng Wang, Weidi Xie:
Multi-modal Prompting for Low-Shot Temporal Action Localization. CoRR abs/2303.11732 (2023) - [i114]Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
PMC-LLaMA: Further Finetuning LLaMA on Medical Papers. CoRR abs/2304.14454 (2023) - [i113]Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang:
Class-Balancing Diffusion Models. CoRR abs/2305.00562 (2023) - [i112]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Prompt-Tuning Decision Transformer with Preference Ranking. CoRR abs/2305.09648 (2023) - [i111]Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao, Weixiong Lin, Ya Zhang, Yanfeng Wang, Weidi Xie:
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering. CoRR abs/2305.10415 (2023) - [i110]Jinxiang Liu, Yu Wang, Chen Ju, Chaofan Ma, Ya Zhang, Weidi Xie:
Annotation-free Audio-Visual Segmentation. CoRR abs/2305.11019 (2023) - [i109]Yikun Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang, Weidi Xie:
Zero-shot Composed Text-Image Retrieval. CoRR abs/2306.07272 (2023) - [i108]Mengxi Chen, Linyu Xing, Yu Wang, Ya Zhang:
Enhanced Multimodal Representation Learning with Cross-modal KD. CoRR abs/2306.07646 (2023) - [i107]Haoning Wu, Xiaoyun Zhang, Weidi Xie, Ya Zhang, Yanfeng Wang:
Boost Video Frame Interpolation via Motion Adaptation. CoRR abs/2306.13933 (2023) - [i106]Yuhuan Yang, Chaofan Ma, Chen Ju, Ya Zhang, Yanfeng Wang:
Multi-Modal Prototypes for Open-Set Semantic Segmentation. CoRR abs/2307.02003 (2023) - [i105]Jinxiang Liu, Chen Ju, Chaofan Ma, Yanfeng Wang, Yu Wang, Ya Zhang:
Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation. CoRR abs/2307.13236 (2023) - [i104]Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang:
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. CoRR abs/2308.01639 (2023) - [i103]Yuhang Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Yanfeng Wang:
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning. CoRR abs/2308.01698 (2023) - [i102]Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
Towards Generalist Foundation Model for Radiology. CoRR abs/2308.02463 (2023) - [i101]Chaoqin Huang, Aofan Jiang, Ya Zhang, Yanfeng Wang:
Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection. CoRR abs/2308.04789 (2023) - [i100]Qingyao Xu, Weibo Mao, Jingze Gong, Chenxin Xu, Siheng Chen, Weidi Xie, Ya Zhang, Yanfeng Wang:
Joint-Relation Transformer for Multi-Person Motion Prediction. CoRR abs/2308.04808 (2023) - [i99]Feng Hong, Tianjie Dai, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays. CoRR abs/2308.08853 (2023) - [i98]Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Ya Zhang, Yanfeng Wang:
Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation. CoRR abs/2309.00096 (2023) - [i97]Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao, Weidi Xie, Yanyong Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang:
UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training. CoRR abs/2309.06828 (2023) - [i96]Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang:
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow. CoRR abs/2309.16940 (2023) - [i95]Chaoyi Wu, Jiayu Lei, Qiaoyu Zheng, Weike Zhao, Weixiong Lin, Xiaoman Zhang, Xiao Zhou, Ziheng Zhao, Ya Zhang, Yanfeng Wang, Weidi Xie:
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis. CoRR abs/2310.09909 (2023) - [i94]Mengxi Chen, Jiangchao Yao, Linyu Xing, Yu Wang, Ya Zhang, Yanfeng Wang:
Redundancy-Adaptive Multimodal Learning for Imperfect Data. CoRR abs/2310.14496 (2023) - [i93]Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang:
Combating Representation Learning Disparity with Geometric Harmonization. CoRR abs/2310.17622 (2023) - [i92]Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation. CoRR abs/2310.19001 (2023) - [i91]Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification. CoRR abs/2312.11038 (2023) - [i90]Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He:
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. CoRR abs/2312.12806 (2023) - [i89]Zeqian Li, Qirui Chen, Tengda Han, Ya Zhang, Yanfeng Wang, Weidi Xie:
A Strong Baseline for Temporal Video-Text Alignment. CoRR abs/2312.14055 (2023) - [i88]Qiaoyu Zheng, Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
Large-scale Long-tailed Disease Diagnosis on Radiology Images. CoRR abs/2312.16151 (2023) - [i87]Ziheng Zhao, Yao Zhang, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts. CoRR abs/2312.17183 (2023) - 2022
- [j48]Chaoyi Wu, Feng Chang, Xiao Su, Zhihan Wu, Yanfeng Wang, Ling Zhu, Ya Zhang:
Integrating features from lymph node stations for metastatic lymph node detection. Comput. Medical Imaging Graph. 101: 102108 (2022) - [j47]Yuhang Zhou, Shuwen Sun, Qiu-Ping Liu, Xun Xu, Ya Zhang, Yu-Dong Zhang:
TED: Two-stage expert-guided interpretable diagnosis framework for microvascular invasion in hepatocellular carcinoma. Medical Image Anal. 82: 102575 (2022) - [j46]Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 740-757 (2022) - [j45]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3316-3333 (2022) - [j44]Peisen Zhao, Lingxi Xie, Jiajie Wang, Ya Zhang, Qi Tian:
Progressive privileged knowledge distillation for online action detection. Pattern Recognit. 129: 108741 (2022) - [j43]Peisen Zhao, Lingxi Xie, Ya Zhang, Qi Tian:
Actionness-Guided Transformer for Anchor-Free Temporal Action Localization. IEEE Signal Process. Lett. 29: 194-198 (2022) - [j42]Fei Ye, Chaoqin Huang, Jinkun Cao, Maosen Li, Ya Zhang, Cewu Lu:
Attribute Restoration Framework for Anomaly Detection. IEEE Trans. Multim. 24: 116-127 (2022) - [j41]Jinxiang Liu, Yangheng Zhao, Siheng Chen, Ya Zhang:
A 3D Mesh-Based Lifting-and-Projection Network for Human Pose Transfer. IEEE Trans. Multim. 24: 4314-4327 (2022) - [c141]Chaofan Ma, Yuhuan Yang, Yan-Feng Wang, Ya Zhang, Weidi Xie:
Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models. BMVC 2022: 45 - [c140]Qinye Zhou, Ziyi Li, Weidi Xie, Xiaoyun Zhang, Yan-Feng Wang, Ya Zhang:
A Simple Plugin for Transforming Images to Arbitrary Scales. BMVC 2022: 107 - [c139]Ziheng Zhao, Tianjiao Zhang, Weidi Xie, Yan-Feng Wang, Ya Zhang:
K-Space Transformer for Undersampled MRI Reconstruction. BMVC 2022: 473 - [c138]Yangyi Dong, Xiaoyun Zhang, Zhixin Wang, Ya Zhang, Siheng Chen, Yanfeng Wang:
Unpaired Face Restoration via Learnable Cross-Quality Shift. CVPR Workshops 2022: 666-674 - [c137]Baisong Guo, Xiaoyun Zhang, Haoning Wu, Yu Wang, Ya Zhang, Yan-Feng Wang:
LAR-SR: A Local Autoregressive Model for Image Super-Resolution. CVPR 2022: 1899-1908 - [c136]Yixuan Huang, Xiaoyun Zhang, Yu Fu, Siheng Chen, Ya Zhang, Yanfeng Wang, Dazhi He:
Task Decoupled Framework for Reference-based Super-Resolution. CVPR 2022: 5921-5930 - [c135]Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen:
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. CVPR 2022: 6488-6497 - [c134]Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang:
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. ECCV (6) 2022: 18-36 - [c133]Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie:
Prompting Visual-Language Models for Efficient Video Understanding. ECCV (35) 2022: 105-124 - [c132]Yuxuan Jiang, Yanfeng Wang, Ruipeng Zhang, Qinwei Xu, Ya Zhang, Xin Chen, Qi Tian:
Domain-Conditioned Normalization for Test-Time Domain Generalization. ECCV Workshops (8) 2022: 291-307 - [c131]Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yan-Feng Wang:
Registration Based Few-Shot Anomaly Detection. ECCV (24) 2022: 303-319 - [c130]Zida Cheng, Siheng Chen, Ya Zhang:
Spatio-Temporal Graph Complementary Scattering Networks. ICASSP 2022: 5573-5577 - [c129]Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian:
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. ICDM 2022: 131-140 - [c128]Zhihan Zhou, Jiangchao Yao, Yan-Feng Wang, Bo Han, Ya Zhang:
Contrastive Learning with Boosted Memorization. ICML 2022: 27367-27377 - [c127]Yu Fu, Xiaoyun Zhang, Yixuan Huang, Ya Zhang, Yanfeng Wang:
Deep Fourier Kernel Exploitation in Blind Image Super-Resolution. IFTC 2022: 163-179 - [c126]Lefei Zhang, Shixiang Feng, Yu Wang, Yanfeng Wang, Ya Zhang, Xin Chen, Qi Tian:
Unsupervised Ensemble Distillation for Multi-Organ Segmentation. ISBI 2022: 1-5 - [c125]Ruipeng Zhang, Qinwei Xu, Chaoqin Huang, Ya Zhang, Yanfeng Wang:
Semi-Supervised Domain Generalization for Medical Image Analysis. ISBI 2022: 1-5 - [c124]Feng Chang, Chaoyi Wu, Yanfeng Wang, Ya Zhang, Xin Chen, Qi Tian:
Boundary-Enhanced Self-supervised Learning for Brain Structure Segmentation. MICCAI (1) 2022: 14-23 - [c123]Wentao Liu, Chaofan Ma, Yuhuan Yang, Weidi Xie, Ya Zhang:
Transforming the Interactive Segmentation for Medical Imaging. MICCAI (4) 2022: 704-713 - [c122]Jinxiang Liu, Chen Ju, Weidi Xie, Ya Zhang:
Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation. ACM Multimedia 2022: 3742-3753 - [i86]Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen:
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. CoRR abs/2204.08770 (2022) - [i85]Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, Ya Zhang:
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization. CoRR abs/2205.06568 (2022) - [i84]Zhihan Zhou, Jiangchao Yao, Yanfeng Wang, Bo Han, Ya Zhang:
Contrastive Learning with Boosted Memorization. CoRR abs/2205.12693 (2022) - [i83]Ziheng Zhao, Tianjiao Zhang, Weidi Xie, Yanfeng Wang, Ya Zhang:
K-Space Transformer for Fast MRI Reconstruction with Implicit Representation. CoRR abs/2206.06947 (2022) - [i82]Jinxiang Liu, Chen Ju, Weidi Xie, Ya Zhang:
Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation. CoRR abs/2206.12772 (2022) - [i81]Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, Ya Zhang, Siheng Chen:
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning. CoRR abs/2206.13114 (2022) - [i80]Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Yanfeng Wang, Ya Zhang, Siheng Chen:
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting. CoRR abs/2207.05195 (2022) - [i79]Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yan-Feng Wang:
Registration based Few-Shot Anomaly Detection. CoRR abs/2207.07361 (2022) - [i78]Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang:
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. CoRR abs/2208.00368 (2022) - [i77]Yue Hu, Siheng Chen, Xu Chen, Ya Zhang, Xiao Gu:
Neural Message Passing for Visual Relationship Detection. CoRR abs/2208.04165 (2022) - [i76]Wentao Liu, Chaofan Ma, Yuhuan Yang, Weidi Xie, Ya Zhang:
Transforming the Interactive Segmentation for Medical Imaging. CoRR abs/2208.09592 (2022) - [i75]Qinye Zhou, Ziyi Li, Weidi Xie, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang:
A Simple Plugin for Transforming Images to Arbitrary Scales. CoRR abs/2210.03417 (2022) - [i74]Chaofan Ma, Yuhuan Yang, Yanfeng Wang, Ya Zhang, Weidi Xie:
Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models. CoRR abs/2210.15138 (2022) - [i73]Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian:
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. CoRR abs/2212.07224 (2022) - [i72]Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Yanfeng Wang, Qi Tian:
Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization. CoRR abs/2212.09335 (2022) - [i71]Shengchao Hu, Li Shen, Ya Zhang, Yixin Chen, Dacheng Tao:
On Transforming Reinforcement Learning by Transformer: The Development Trajectory. CoRR abs/2212.14164 (2022) - 2021
- [j40]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. IEEE Trans. Image Process. 30: 7760-7775 (2021) - [j39]Shixiang Feng, Beibei Liu, Ya Zhang, Xiaoyun Zhang, Yuehua Li:
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis. IEEE Trans. Medical Imaging 40(9): 2496-2506 (2021) - [j38]Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang:
Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning. IEEE Trans. Medical Imaging 40(10): 2563-2574 (2021) - [j37]Peisen Zhao, Lingxi Xie, Ya Zhang, Qi Tian:
Universal-to-Specific Framework for Complex Action Recognition. IEEE Trans. Multim. 23: 3441-3453 (2021) - [j36]Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang:
Decoupled Variational Embedding for Signed Directed Networks. ACM Trans. Web 15(1): 3:1-3:31 (2021) - [c121]Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang:
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. AAAI 2021: 3013-3021 - [c120]Yujie Pan, Ya Zhang:
Cross Domain Embedding Transfer for Cold-start Users in Click-through Rate Prediction. ACAI 2021: 82:1-82:6 - [c119]Chaoqin Huang, Fei Ye, Peisen Zhao, Ya Zhang, Yan-Feng Wang, Qi Tian:
ESAD: End-to-end Semi-supervised Anomaly Detection. BMVC 2021: 140 - [c118]Qinwei Xu, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Qi Tian:
A Fourier-Based Framework for Domain Generalization. CVPR 2021: 14383-14392 - [c117]Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yan-Feng Wang:
CaT: Weakly Supervised Object Detection with Category Transfer. ICCV 2021: 3050-3059 - [c116]Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Divide and Conquer for Single-frame Temporal Action Localization. ICCV 2021: 13435-13444 - [c115]Maosen Li, Siheng Chen, Zihui Liu, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang:
Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction. ICCVW 2021: 854-864 - [c114]Lianyu Du, Liwei Hu, Xiaoyun Zhang, Yu-Min Zhong, Ya Zhang, Yanfeng Wang:
Unsupervised Segmentation Framework with Active Contour Models for Cine Cardiac MRI. ICIP 2021: 56-60 - [c113]Fei Ye, Huangjie Zheng, Chaoqin Huang, Ya Zhang:
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. ICIP 2021: 1609-1613 - [c112]Zida Cheng, Siheng Chen, Ya Zhang:
Semi-Supervised 3D Hand-Object Pose Estimation Via Pose Dictionary Learning. ICIP 2021: 3632-3636 - [c111]Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Cooperative Learning for Noisy Supervision. ICME 2021: 1-6 - [c110]Xiaoman Zhang, Shixiang Feng, Yuhang Zhou, Ya Zhang, Yanfeng Wang:
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation. MICCAI (2) 2021: 124-133 - [c109]Minhao Hu, Tao Song, Yujun Gu, Xiangde Luo, Jieneng Chen, Yinan Chen, Ya Zhang, Shaoting Zhang:
Fully Test-Time Adaptation for Image Segmentation. MICCAI (3) 2021: 251-260 - [c108]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. MICCAI (7) 2021: 764-774 - [c107]Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Siheng Chen, Ya Zhang:
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. NeurIPS 2021: 6328-6340 - [c106]Chuan Wen, Yujie Pan, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian:
Handwritten Chinese Font Generation with Collaborative Stroke Refinement. WACV 2021: 3881-3890 - [i70]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. CoRR abs/2103.05170 (2021) - [i69]Yuhang Zhou, Xiaoman Zhang, Shixiang Feng, Ya Zhang, Yanfeng Wang:
Uncertainty-aware Incremental Learning for Multi-organ Segmentation. CoRR abs/2103.05227 (2021) - [i68]Hao Wu, Jiaochao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang:
Collaborative Label Correction via Entropy Thresholding. CoRR abs/2103.17008 (2021) - [i67]Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Qi Tian:
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization. CoRR abs/2104.02357 (2021) - [i66]Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou:
Contrastive Conditional Transport for Representation Learning. CoRR abs/2105.03746 (2021) - [i65]Qinwei Xu, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Qi Tian:
A Fourier-based Framework for Domain Generalization. CoRR abs/2105.11120 (2021) - [i64]Minhao Hu, Matthis Maillard, Ya Zhang, Tommaso Ciceri, Giammarco La Barbera, Isabelle Bloch, Pietro Gori:
Knowledge distillation from multi-modal to mono-modal segmentation networks. CoRR abs/2106.09564 (2021) - [i63]Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. CoRR abs/2107.00894 (2021) - [i62]Zida Cheng, Siheng Chen, Ya Zhang:
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning. CoRR abs/2107.07676 (2021) - [i61]Shixiang Feng, Yuhang Zhou, Xiaoman Zhang, Ya Zhang, Yanfeng Wang:
MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets. CoRR abs/2108.02559 (2021) - [i60]Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Cooperative Learning for Noisy Supervision. CoRR abs/2108.05092 (2021) - [i59]Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yan-Feng Wang:
CaT: Weakly Supervised Object Detection with Category Transfer. CoRR abs/2108.07487 (2021) - [i58]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. CoRR abs/2108.11244 (2021) - [i57]Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Yanfeng Wang:
Self-supervised Tumor Segmentation through Layer Decomposition. CoRR abs/2109.03230 (2021) - [i56]Jinxiang Liu, Yangheng Zhao, Siheng Chen, Ya Zhang:
A 3D Mesh-based Lifting-and-Projection Network for Human Pose Transfer. CoRR abs/2109.11719 (2021) - [i55]Yujie Pan, Jiangchao Yao, Bo Han, Kunyang Jia, Ya Zhang, Hongxia Yang:
Click-through Rate Prediction with Auto-Quantized Contrastive Learning. CoRR abs/2109.13921 (2021) - [i54]Zida Cheng, Siheng Chen, Ya Zhang:
Spatio-Temporal Graph Complementary Scattering Networks. CoRR abs/2110.12150 (2021) - [i53]Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Ya Zhang, Siheng Chen:
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. CoRR abs/2110.13947 (2021) - [i52]Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie:
Prompting Visual-Language Models for Efficient Video Understanding. CoRR abs/2112.04478 (2021) - 2020
- [j35]Yexun Zhang, Ya Zhang, Qinwei Xu, Ruipeng Zhang:
Learning Robust Shape-Based Features for Domain Generalization. IEEE Access 8: 63748-63756 (2020) - [j34]Zhiyi Tan, Ya Zhang, Wen Hu:
Online Prediction of Video Popularity in OVSs: A Video Age-Sensitive Model With Beyond Views Features. IEEE Trans. Broadcast. 66(2): 241-250 (2020) - [j33]Yexun Zhang, Ya Zhang, Wenbin Cai:
A Unified Framework for Generalizable Style Transfer: Style and Content Separation. IEEE Trans. Image Process. 29: 4085-4098 (2020) - [c105]Kunyuan Du, Ya Zhang, Haibing Guan:
From Quantized DNNs to Quantizable DNNs. BMVC 2020 - [c104]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction. CVPR 2020: 211-220 - [c103]Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu:
Collaborative Motion Prediction via Neural Motion Message Passing. CVPR 2020: 6318-6327 - [c102]Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang:
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning. CVPR 2020: 9391-9399 - [c101]Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, Qi Tian:
Bottom-Up Temporal Action Localization with Mutual Regularization. ECCV (8) 2020: 539-555 - [c100]Kunyuan Du, Ya Zhang, Haibing Guan, Qi Tian, Yanfeng Wang, Shenggan Cheng, James Lin:
FTL: A Universal Framework for Training Low-Bit DNNs via Feature Transfer. ECCV (25) 2020: 700-716 - [c99]Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang:
Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph. ICKG 2020: 283-290 - [c98]Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li:
Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs. ICKG 2020: 466-473 - [c97]Yifei Hu, Ya Zhang:
Graph Contrastive Learning with Local and Global Mutual Information Maximization. ICIT 2020: 74-78 - [c96]Tengfei Hou, Ya Zhang, Yanfeng Wang:
PU Learning for RPN Generalization. ICVIP 2020: 1-6 - [c95]Weifeng Hu, Xiaofen Yao, Zhou Zheng, Xiaoyun Zhang, Yu-Min Zhong, Xiaoxia Wang, Ya Zhang, Yanfeng Wang:
Error Attention Interactive Segmentation of Medical Image Through Matting and Fusion. MLMI@MICCAI 2020: 11-20 - [c94]Zhou Zheng, Xiaoxia Wang, Xiaoyun Zhang, Yu-Min Zhong, Xiaofen Yao, Ya Zhang, Yanfeng Wang:
Semi-supervised Segmentation with Self-training Based on Quality Estimation and Refinement. MLMI@MICCAI 2020: 30-39 - [c93]Yingying Xue, Shixiang Feng, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang:
Dual-Task Self-supervision for Cross-modality Domain Adaptation. MICCAI (1) 2020: 408-417 - [c92]Minhao Hu, Matthis Maillard, Ya Zhang, Tommaso Ciceri, Giammarco La Barbera, Isabelle Bloch, Pietro Gori:
Knowledge Distillation from Multi-modal to Mono-modal Segmentation Networks. MICCAI (1) 2020: 772-781 - [c91]Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang:
Graph Cross Networks with Vertex Infomax Pooling. NeurIPS 2020 - [p1]Xinyan Yu, Ya Zhang, Rui Zhang:
Cross-Modality Video Segment Retrieval with Ensemble Learning. Domain Adaptation for Visual Understanding 2020: 65-79 - [i51]Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Qi Tian:
Constraining Temporal Relationship for Action Localization. CoRR abs/2002.07358 (2020) - [i50]Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu:
Collaborative Motion Prediction via Neural Motion Message Passing. CoRR abs/2003.06594 (2020) - [i49]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction. CoRR abs/2003.08802 (2020) - [i48]Kunyuan Du, Ya Zhang, Haibing Guan:
From Quantized DNNs to Quantizable DNNs. CoRR abs/2004.05284 (2020) - [i47]Peisen Zhao, Lingxi Xie, Ya Zhang, Qi Tian:
Universal-to-Specific Framework for Complex Action Recognition. CoRR abs/2007.06149 (2020) - [i46]Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang:
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph. CoRR abs/2007.08304 (2020) - [i45]Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li:
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs. CoRR abs/2007.08308 (2020) - [i44]Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan:
Learning Robust Node Representations on Graphs. CoRR abs/2008.11416 (2020) - [i43]Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang:
Decoupled Variational Embedding for Signed Directed Networks. CoRR abs/2008.12450 (2020) - [i42]Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su:
Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation. CoRR abs/2009.06884 (2020) - [i41]Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang:
Graph Cross Networks with Vertex Infomax Pooling. CoRR abs/2010.01804 (2020) - [i40]Xiaoman Zhang, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang:
Universal Model for 3D Medical Image Analysis. CoRR abs/2010.06107 (2020) - [i39]Shixiang Feng, Beibei Liu, Ya Zhang, Xiaoyun Zhang, Yuehua Li:
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis. CoRR abs/2010.06224 (2020) - [i38]Siheng Chen, Maosen Li, Ya Zhang:
Sampling and Recovery of Graph Signals based on Graph Neural Networks. CoRR abs/2011.01412 (2020) - [i37]Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. CoRR abs/2011.01623 (2020) - [i36]Peisen Zhao, Jiajie Wang, Lingxi Xie, Ya Zhang, Yanfeng Wang, Qi Tian:
Privileged Knowledge Distillation for Online Action Detection. CoRR abs/2011.09158 (2020) - [i35]Fei Ye, Huangjie Zheng, Chaoqing Huang, Ya Zhang:
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. CoRR abs/2012.04837 (2020) - [i34]Chaoqin Huang, Fei Ye, Ya Zhang, Yan-Feng Wang, Qi Tian:
ESAD: End-to-end Deep Semi-supervised Anomaly Detection. CoRR abs/2012.04905 (2020) - [i33]Chen Ju, Peisen Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses. CoRR abs/2012.08236 (2020) - [i32]Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang:
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. CoRR abs/2012.09398 (2020)
2010 – 2019
- 2019
- [j32]Tao Zheng, Yimei Gao, Fei Wang, Chenhao Fan, Xingzhi Fu, Mei Li, Ya Zhang, Shaodian Zhang, Handong Ma:
Detection of medical text semantic similarity based on convolutional neural network. BMC Medical Informatics Decis. Mak. 19(1): 156:1-156:11 (2019) - [j31]Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang:
Deep Learning From Noisy Image Labels With Quality Embedding. IEEE Trans. Image Process. 28(4): 1909-1922 (2019) - [j30]Zhiyi Tan, Ya Zhang:
Predicting the Top-N Popular Videos via a Cross-Domain Hybrid Model. IEEE Trans. Multim. 21(1): 147-156 (2019) - [c90]Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang:
Understanding VAEs in Fisher-Shannon Plane. AAAI 2019: 5917-5924 - [c89]Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun:
Safeguarded Dynamic Label Regression for Noisy Supervision. AAAI 2019: 9103-9110 - [c88]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition. CVPR 2019: 3595-3603 - [c87]Zhiyi Tan, Wen Hu, Ya Zhang, Hao Ding:
Online Popularity Prediction of Video Segments: Towards More Efficient Content Delivery Networks. GLOBECOM 2019: 1-6 - [c86]Yuefu Zhou, Ya Zhang, Yan-Feng Wang, Qi Tian:
Accelerate CNN via Recursive Bayesian Pruning. ICCV 2019: 3305-3314 - [c85]Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang:
Collaborative Label Correction via Entropy Thresholding. ICDM 2019: 1390-1395 - [c84]Yujun Gu, Jie Chang, Ya Zhang, Yanfeng Wang:
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages. ICIAI 2019: 157-161 - [c83]Yifeng Li, Ya Zhang, Rui Zhang, Yanfeng Wang:
Generative Transferable Adversarial Attack. ICVIP 2019: 84-89 - [c82]Zhikang Li, Ya Zhang, Yanfeng Wang:
Collaborative Semantic Segmentation with Image Labels. ICVIP 2019: 95-100 - [c81]Zhuoxun He, Ya Zhang, Yanfeng Wang:
Self-supervised Image Classification based on the Distances of Deep Feature Space. ICVIP 2019: 173-177 - [c80]Bolin Lai, Shiqi Peng, Guangyu Yao, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, Hui Zhao:
Spatial Regularized Classification Network for Spinal Dislocation Diagnosis. MLMI@MICCAI 2019: 9-17 - [c79]Shengyang Li, Xiaoyun Zhang, Xiaoxia Wang, Yu-Min Zhong, Xiaofen Yao, Ya Zhang, Yanfeng Wang:
Children's Neuroblastoma Segmentation Using Morphological Features. MLMI@MICCAI 2019: 81-88 - [c78]Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yan-Feng Wang, Hui Zhao:
Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-Propagation. DART/MIL3ID@MICCAI 2019: 120-128 - [c77]Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yan-Feng Wang, Hui Zhao:
Learning-Based Bone Quality Classification Method for Spinal Metastasis. MLMI@MICCAI 2019: 426-434 - [i31]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition. CoRR abs/1904.12659 (2019) - [i30]Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian:
Handwritten Chinese Font Generation with Collaborative Stroke Refinement. CoRR abs/1904.13268 (2019) - [i29]Yifeng Li, Lingxi Xie, Ya Zhang, Rui Zhang, Yanfeng Wang, Qi Tian:
Defending Adversarial Attacks by Correcting logits. CoRR abs/1906.10973 (2019) - [i28]Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang:
Node Attribute Generation on Graphs. CoRR abs/1907.09708 (2019) - [i27]Zhuoxun He, Lingxi Xie, Xin Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data. CoRR abs/1909.09148 (2019) - [i26]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction. CoRR abs/1910.02212 (2019) - [i25]Xu Chen, Kenan Cui, Ya Zhang, Yanfeng Wang:
Cascading: Association Augmented Sequential Recommendation. CoRR abs/1910.07792 (2019) - [i24]Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang:
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning. CoRR abs/1911.10334 (2019) - [i23]Chaoqing Huang, Jinkun Cao, Fei Ye, Maosen Li, Ya Zhang, Cewu Lu:
Inverse-Transform AutoEncoder for Anomaly Detection. CoRR abs/1911.10676 (2019) - 2018
- [j29]Zhe Xu, Shaoli Huang, Ya Zhang, Dacheng Tao:
Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1100-1113 (2018) - [j28]Yexun Zhang, Wenbin Cai, Wenquan Wang, Ya Zhang:
Stopping Criterion for Active Learning with Model Stability. ACM Trans. Intell. Syst. Technol. 9(2): 19:1-19:26 (2018) - [j27]Jiangchao Yao, Yanfeng Wang, Ya Zhang, Jun Sun, Jun Zhou:
Joint Latent Dirichlet Allocation for Social Tags. IEEE Trans. Multim. 20(1): 224-237 (2018) - [j26]Zhuoxiang Chen, Zhe Xu, Ya Zhang, Xiao Gu:
Query-Free Clothing Retrieval via Implicit Relevance Feedback. IEEE Trans. Multim. 20(8): 2126-2137 (2018) - [c76]Yu Dong, Li Song, Rong Xie, Wenjun Zhang, Ya Zhang:
A Generic Distributed Scheduling Algorithm for Frame Rate Up Convert Video Transcoding. BMSB 2018: 1-5 - [c75]Jie Chang, Yujun Gu, Ya Zhang, Yan-Feng Wang:
Chinese Handwriting Imitation with Hierarchical Generative Adversarial Network. BMVC 2018: 290 - [c74]Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang:
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CIKM 2018: 1433-1442 - [c73]Tao Zheng, Ya Zhang, Chenhao Fan:
Research on Hospital Operation Index Prediction Method Based on PSO-Holt-Winters Model. CSAE 2018: 23:1-23:8 - [c72]Yexun Zhang, Ya Zhang, Wenbin Cai:
Separating Style and Content for Generalized Style Transfer. CVPR 2018: 8447-8455 - [c71]Yan Wang, Lingxi Xie, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Alan L. Yuille:
Multi-scale Spatially-Asymmetric Recalibration for Image Classification. ECCV (13) 2018: 523-539 - [c70]Hanqing Zhao, Xu Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Recommendation with Hybrid Interest Model. ICDM Workshops 2018: 1323-1331 - [c69]Yu Li, Maosen Li, Ya Zhang, Ying Wang:
Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks. ICME 2018: 1-6 - [c68]Bo Huang, Ya Zhang, Kai Yu:
MLN: Moment localization Network and Samples Selection for Moment Retrieval. ICVIP 2018: 165-170 - [c67]Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang:
Collaborative Learning for Weakly Supervised Object Detection. IJCAI 2018: 971-977 - [c66]Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, Masashi Sugiyama:
Masking: A New Perspective of Noisy Supervision. NeurIPS 2018: 5841-5851 - [c65]Haoyan Guan, Guangyu Yao, Yexun Zhang, Yujun Gu, Hui Zhao, Ya Zhang, Xiao Gu:
Deep Dual-view Network with Smooth Loss for Spinal Metastases Classification. VCIP 2018: 1-4 - [i22]Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang:
Collaborative Learning for Weakly Supervised Object Detection. CoRR abs/1802.03531 (2018) - [i21]Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang:
Degeneration in VAE: in the Light of Fisher Information Loss. CoRR abs/1802.06677 (2018) - [i20]Yan Wang, Lingxi Xie, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Alan L. Yuille:
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification. CoRR abs/1804.00787 (2018) - [i19]Jiangchao Yao, Ivor W. Tsang, Ya Zhang:
Variational Composite Autoencoders. CoRR abs/1804.04435 (2018) - [i18]Jie Chang, Ya Zhang, Yanfeng Wang:
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages. CoRR abs/1804.10361 (2018) - [i17]Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, Masashi Sugiyama:
Masking: A New Perspective of Noisy Supervision. CoRR abs/1805.08193 (2018) - [i16]Yexun Zhang, Ya Zhang, Wenbin Cai:
A Unified Framework for Generalizable Style Transfer: Style and Content Separation. CoRR abs/1806.05173 (2018) - [i15]Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang:
Understanding VAEs in Fisher-Shannon Plane. CoRR abs/1807.03723 (2018) - [i14]Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang:
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CoRR abs/1808.03737 (2018) - [i13]Kenan Cui, Xu Chen, Jiangchao Yao, Ya Zhang:
Variational Collaborative Learning for User Probabilistic Representation. CoRR abs/1809.08400 (2018) - [i12]Huangjie Zheng, Lingxi Xie, Tianwei Ni, Ya Zhang, Yan-Feng Wang, Qi Tian, Elliot K. Fishman, Alan L. Yuille:
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation. CoRR abs/1811.11814 (2018) - [i11]Yexun Zhang, Ya Zhang, Yanfeng Wang, Qi Tian:
Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption. CoRR abs/1811.12751 (2018) - [i10]Yuefu Zhou, Ya Zhang, Yanfeng Wang, Qi Tian:
Network Compression via Recursive Bayesian Pruning. CoRR abs/1812.00353 (2018) - 2017
- [j25]Tao Zheng, Wei Xie, Liling Xu, Xiaoying He, Ya Zhang, Mingrong You, Gong Yang, You Chen:
A machine learning-based framework to identify type 2 diabetes through electronic health records. Int. J. Medical Informatics 97: 120-127 (2017) - [j24]Zhe Xu, Dacheng Tao, Shaoli Huang, Ya Zhang:
Friend or Foe: Fine-Grained Categorization With Weak Supervision. IEEE Trans. Image Process. 26(1): 135-146 (2017) - [j23]Wenbin Cai, Muhan Zhang, Ya Zhang:
Batch Mode Active Learning for Regression With Expected Model Change. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1668-1681 (2017) - [j22]Wenbin Cai, Yexun Zhang, Ya Zhang, Siyuan Zhou, Wenquan Wang, Zhuoxiang Chen, Chris H. Q. Ding:
Active Learning for Classification with Maximum Model Change. ACM Trans. Inf. Syst. 36(2): 15:1-15:28 (2017) - [c64]Zhuqing Zhang, Jun Zhou, Ning Liu, Xiao Gu, Ya Zhang:
An improved pairwise comparison scaling method for subjective image quality assessment. BMSB 2017: 1-6 - [c63]Jun Zhou, Xiao Gu, Ya Zhang:
On evaluation the quality of subjective S3D comfort assessment. BMSB 2017: 1-6 - [c62]Xiaohui Zhu, Ya Zhang:
A Distributed Trajectory Compression Algorithm for Mobile Sensor Networks. ICCBN 2017: 19-24 - [c61]Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian, Alan L. Yuille:
SORT: Second-Order Response Transform for Visual Recognition. ICCV 2017: 1368-1377 - [c60]Zhijian Jiang, Yanfeng Wang, Weiyuan Chen, Xie Wang, Ya Zhang, Jianping Mei, Zhuowei Huang:
Cold-Start Group Profiling with a Clustering-Coupled Topic Model. IFTC 2017: 334-342 - [c59]Hongxiang Cai, Ya Zhang, Yanfeng Wang, Xie Wang, Jianping Mei, Zhuowei Huang:
Predicting Relative Popularity via an End-to-End Multi-modality Model. IFTC 2017: 343-353 - [c58]Wenquan Wang, Ya Zhang, Jinglu Hu:
Distance metric learning with eigenvalue fine tuning. IJCNN 2017: 502-509 - [c57]Tao Zheng, Ya Zhang:
A Big Data Application of Machine Learning-Based Framework to Identify Type 2 Diabetes Through Electronic Health Records. KMO 2017: 451-458 - [c56]Shanshan Huang, Yichao Xiong, Ya Zhang, Jia Wang:
Unsupervised Triplet Hashing for Fast Image Retrieval. ACM Multimedia (Thematic Workshops) 2017: 84-92 - [c55]Huangjie Zheng, Jiangchao Yao, Ya Zhang:
Describing Geographical Characteristics with Social Images. MMM (1) 2017: 115-126 - [c54]Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jun Sun:
Discovering User Interests from Social Images. MMM (2) 2017: 160-172 - [c53]Yexun Zhang, Yanfeng Wang, Wenbin Cai, Siyuan Zhou, Ya Zhang:
From Theory to Practice: Efficient Active Cost-sensitive Classification with Expected Error Reduction. SDM 2017: 153-161 - [c52]Zhonghao Wang, Yujun Gu, Ya Zhang, Jun Zhou, Xiao Gu:
Clothing retrieval with visual attention model. VCIP 2017: 1-4 - [c51]Yuefu Zhou, Shanshan Huang, Ya Zhang, Yanfeng Wang:
Deep hashing with triplet quantization loss. VCIP 2017: 1-4 - [i9]Shanshan Huang, Yichao Xiong, Ya Zhang, Jia Wang:
Unsupervised Triplet Hashing for Fast Image Retrieval. CoRR abs/1702.08798 (2017) - [i8]Yan Wang, Lingxi Xie, Ya Zhang, Wenjun Zhang, Alan L. Yuille:
Deep Collaborative Learning for Visual Recognition. CoRR abs/1703.01229 (2017) - [i7]Yan Wang, Lingxi Xie, Chenxi Liu, Ya Zhang, Wenjun Zhang, Alan L. Yuille:
SORT: Second-Order Response Transform for Visual Recognition. CoRR abs/1703.06993 (2017) - [i6]Yuefu Zhou, Shanshan Huang, Ya Zhang, Yanfeng Wang:
Deep Hashing with Triplet Quantization Loss. CoRR abs/1710.11445 (2017) - [i5]Zhonghao Wang, Yujun Gu, Ya Zhang, Jun Zhou, Xiao Gu:
Clothing Retrieval with Visual Attention Model. CoRR abs/1710.11446 (2017) - [i4]Zhuoxiang Chen, Zhe Xu, Ya Zhang, Xiao Gu:
Query-free Clothing Retrieval via Implicit Relevance Feedback. CoRR abs/1711.00248 (2017) - [i3]Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang:
Deep Learning from Noisy Image Labels with Quality Embedding. CoRR abs/1711.00583 (2017) - [i2]Yexun Zhang, Wenbin Cai, Ya Zhang:
Separating Style and Content for Generalized Style Transfer. CoRR abs/1711.06454 (2017) - 2016
- [j21]Zhiyi Tan, Yanfeng Wang, Ya Zhang, Jun Zhou:
A Novel Time Series Approach for Predicting the Long-Term Popularity of Online Videos. IEEE Trans. Broadcast. 62(2): 436-445 (2016) - [j20]Zhe Xu, Zhibin Hong, Ya Zhang, Junjie Wu, Ah Chung Tsoi, Dacheng Tao:
Multinomial Latent Logistic Regression for Image Understanding. IEEE Trans. Image Process. 25(2): 973-987 (2016) - [c50]Jie Hou, Ya Zhang, Xiao Gu:
Synergy and antagonism in online advertising. BDCAT 2016: 293-301 - [c49]Runfeng Huang, Jun Zhou, Xiao Gu, Ya Zhang, Alan C. Bovik:
Comparison of regressors on 3D visual discomfort prediction. BMSB 2016: 1-6 - [c48]Shaoli Huang, Zhe Xu, Dacheng Tao, Ya Zhang:
Part-Stacked CNN for Fine-Grained Visual Categorization. CVPR 2016: 1173-1182 - [c47]Zhiwei Rao, Jiangchao Yao, Ya Zhang, Rui Zhang:
Preference Aware Recommendation Based on Categorical Information. ICMLA 2016: 865-870 - [c46]Yichao Xiong, Ning Liu, Zhe Xu, Ya Zhang:
A parameter partial-sharing CNN architecture for cross-domain clothing retrieval. VCIP 2016: 1-4 - 2015
- [j19]Wenbin Cai, Muhan Zhang, Ya Zhang:
Active learning for ranking with sample density. Inf. Retr. J. 18(2): 123-144 (2015) - [j18]Yuan Liu, Yanmin Qian, Nanxin Chen, Tianfan Fu, Ya Zhang, Kai Yu:
Deep feature for text-dependent speaker verification. Speech Commun. 73: 1-13 (2015) - [j17]Ya Zhang, Weiyuan Chen, Hongyuan Zha, Xiao Gu:
A Time-Topic Coupled LDA Model for IPTV User Behaviors. IEEE Trans. Broadcast. 61(1): 56-65 (2015) - [j16]Bo Long, Jiang Bian, Olivier Chapelle, Ya Zhang, Yoshiyuki Inagaki, Yi Chang:
Active Learning for Ranking through Expected Loss Optimization. IEEE Trans. Knowl. Data Eng. 27(5): 1180-1191 (2015) - [j15]Wenbin Cai, Muhan Zhang, Ya Zhang:
Active Learning for Web Search Ranking via Noise Injection. ACM Trans. Web 9(1): 3:1-3:31 (2015) - [c45]Baoyan Ma, Jun Zhou, Xiao Gu, Mingmin Wang, Ya Zhang, Xiaoqiang Guo:
A new approach to create 3D fixation density maps for stereoscopic images. 3DTV-Conference 2015: 1-4 - [c44]Xiaonan Zhang, Jun Zhou, Jianyu Chen, Xiaoqiang Guo, Ya Zhang, Xiao Gu:
Visual comfort assessment of stereoscopic images with multiple salient objects. BMSB 2015: 1-6 - [c43]Jun Zhou, Ling Wang, Xiao Gu, Kang Xu, Ya Zhang:
A depth map estimation approach for trinocular stereo. BMSB 2015: 1-6 - [c42]Jiawei Hu, Yanfeng Wang, Ya Zhang:
IOHMM for location prediction with missing data. DSAA 2015: 1-10 - [c41]Zhe Xu, Shaoli Huang, Ya Zhang, Dacheng Tao:
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization. ICCV 2015: 2524-2532 - [c40]Jiangchao Yao, Ya Zhang, Zhe Xu, Jun Sun, Jun Zhou, Xiao Gu:
Joint Latent Dirichlet Allocation for non-iid social tags. ICME 2015: 1-6 - [c39]Xiaoyu Chen, Jiangchao Yao, Yanfeng Wang, Ya Zhang:
Online Learning Algorithm for Collective LDA. ICMLA 2015: 251-258 - [i1]Shaoli Huang, Zhe Xu, Dacheng Tao, Ya Zhang:
Part-Stacked CNN for Fine-Grained Visual Categorization. CoRR abs/1512.08086 (2015) - 2014
- [j14]Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian:
Behavior Informatics: A New Perspective. IEEE Intell. Syst. 29(4): 62-80 (2014) - [j13]Yanfeng Wang, Dazhi He, Wenjun Zhang, Yunfeng Guan, Yao Wang, Ya Zhang, Hui Hui:
An Urban-Rural Dual Structure for the Digital Terrestrial Television Broadcasting System of FOBTV. IEEE Trans. Broadcast. 60(2): 287-290 (2014) - [j12]Mu Li, Jinjiu Li, Yuming Ou, Ya Zhang, Dan Luo, Maninder Bahtia, Longbing Cao:
Coupled K-Nearest Centroid Classification for Non-iid Data. Trans. Comput. Collect. Intell. 15: 89-100 (2014) - [j11]Zhe Xu, Ya Zhang, Longbing Cao:
Social Image Analysis From a Non-IID Perspective. IEEE Trans. Multim. 16(7): 1986-1998 (2014) - [c38]Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie:
Feature Selection at the Discrete Limit. AAAI 2014: 1355-1361 - [c37]Zhiyi Tan, Ya Zhang, Chaofeng Li, Ning Liu:
Lifetime popularity prediction for online videos. BMSB 2014: 1-6 - [c36]Zhe Xu, Dacheng Tao, Ya Zhang, Junjie Wu, Ah Chung Tsoi:
Architectural Style Classification Using Multinomial Latent Logistic Regression. ECCV (1) 2014: 600-615 - [c35]Ya Zhang, Yi Wei, Jianbiao Ren:
Multi-touch Attribution in Online Advertising with Survival Theory. ICDM 2014: 687-696 - [c34]Wenquan Wang, Wenbin Cai, Ya Zhang:
Stability-Based Stopping Criterion for Active Learning. ICDM 2014: 1019-1024 - [c33]Wenbin Cai, Ya Zhang, Siyuan Zhou, Wenquan Wang, Chris H. Q. Ding, Xiao Gu:
Active Learning for Support Vector Machines with Maximum Model Change. ECML/PKDD (1) 2014: 211-226 - [c32]Hao Wang, Ya Zhang, Zhe Xu:
Exploring Residual and Spatial Consistency for Object Detection. VISAPP (2) 2014: 191-197 - 2013
- [j10]Ya Zhang, Weiyuan Chen, Zibin Yin:
Collaborative filtering with social regularization for TV program recommendation. Knowl. Based Syst. 54: 310-317 (2013) - [j9]Keyi Shen, Jianmin Wu, Ya Zhang, Yiping Han, Xiaokang Yang, Li Song, Xiao Gu:
Reorder user's tweets. ACM Trans. Intell. Syst. Technol. 4(1): 6:1-6:17 (2013) - [c31]Rong Li, Ya Zhang:
Social-Correlation Based Mutual Reinforcement for Short Text Classification and User Interest Tagging. ADMA (1) 2013: 444-455 - [c30]Mu Li, Jinjiu Li, Yuming Ou, Ya Zhang, Dan Luo, Maninder Bahtia, Longbing Cao:
Learning Heterogeneous Coupling Relationships Between Non-IID Terms. ADMI 2013: 79-91 - [c29]Yi Wei, Ke Zhou, Ya Zhang, Hongyuan Zha:
Learning the Hotness of Information Diffusions with Multi-dimensional Hawkes Processes. ADMI 2013: 92-110 - [c28]Weiyuan Chen, Ya Zhang, Hongyuan Zha:
Mining IPTV user behaviors with a coupled LDA model. BMSB 2013: 1-6 - [c27]Zhe Xu, Ya Zhang:
Automatic generated recommendation for movie trailers. BMSB 2013: 1-6 - [c26]Fei Ye, Chongyang Zhang, Ya Zhang, Chao Ma:
Real-time TV logo detection based on color and HOG features. BMSB 2013: 1-5 - [c25]Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu:
Joint Optimization for Consistent Multiple Graph Matching. ICCV 2013: 1649-1656 - [c24]Wenbin Cai, Ya Zhang, Jun Zhou:
Maximizing Expected Model Change for Active Learning in Regression. ICDM 2013: 51-60 - [c23]Jieqiong Qiu, Ya Zhang, Jun Sun:
Face recogntion in open world environment. VCIP 2013: 1-6 - [e1]Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-Peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang:
Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8178, Springer 2013, ISBN 978-3-319-04047-9 [contents] - 2012
- [c22]Zibin Yin, Ya Zhang, Weiyuan Chen, Richard Zong:
Discovering patterns of advertisement propagation in Sina-Microblog. AdKDD@KDD 2012: 1:1-1:9 - [c21]Wenbin Cai, Ya Zhang:
Variance maximization via noise injection for active sampling in learning to rank. CIKM 2012: 1809-1813 - [c20]Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha:
On the Convergence of Graph Matching: Graduated Assignment Revisited. ECCV (3) 2012: 821-835 - [c19]Zibin Yin, Ya Zhang:
Measuring Pair-Wise Social Influence in Microblog. SocialCom/PASSAT 2012: 502-507 - 2011
- [j8]Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng:
Boosted multi-task learning. Mach. Learn. 85(1-2): 149-173 (2011) - 2010
- [j7]Huilin Xiong, Ya Zhang, Xue-wen Chen, Jiangsheng Yu:
Cross-platform microarray data integration using the Normalised Linear Transform. Int. J. Data Min. Bioinform. 4(2): 142-157 (2010) - [c18]Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng:
Multi-task learning for boosting with application to web search ranking. KDD 2010: 1189-1198 - [c17]Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng:
Active learning for ranking through expected loss optimization. SIGIR 2010: 267-274 - [c16]Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, Thorsten Joachims:
Learning more powerful test statistics for click-based retrieval evaluation. SIGIR 2010: 507-514
2000 – 2009
- 2009
- [c15]Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre Grinspan:
Expected reciprocal rank for graded relevance. CIKM 2009: 621-630 - [c14]Bo Long, Sudarshan Lamkhede, Srinivas Vadrevu, Ya Zhang, Belle L. Tseng:
A risk minimization framework for domain adaptation. CIKM 2009: 1347-1356 - [c13]Olivier Chapelle, Ya Zhang:
A dynamic bayesian network click model for web search ranking. WWW 2009: 1-10 - 2008
- [c12]Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun:
Adapting ranking functions to user preference. ICDE Workshops 2008: 580-587 - [c11]Aitao Chen, Ya Zhang, Gordon Sun:
A Two-Stage Approach to Chinese Part-of-Speech Tagging. IJCNLP 2008: 82-85 - [c10]Srinivas Vadrevu, Ya Zhang, Belle L. Tseng, Gordon Sun, Xin Li:
Identifying regional sensitive queries in web search. WWW 2008: 1185-1186 - 2007
- [j6]Huilin Xiong, Ya Zhang, Xue-wen Chen:
Data-Dependent Kernel Machines for Microarray Data Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 4(4): 583-595 (2007) - [c9]Huilin Xiong, Ya Zhang, Xue-wen Chen:
Normalized Linear Transform for Cross-Platform Microarray Data Integration. ICMLA 2007: 612-617 - 2006
- [j5]Ya Zhang, Hongyuan Zha, Chao-Hsien Chu, Xiang Ji:
Towards Inferring Protein Interactions: Challenges and Solutions. EURASIP J. Adv. Signal Process. 2006 (2006) - [j4]Ya Zhang, Chao-Hsien Chu, Yixin Chen, Hongyuan Zha, Xiang Ji:
Splice site prediction using support vector machines with a Bayes kernel. Expert Syst. Appl. 30(1): 73-81 (2006) - [j3]James Ze Wang, Kurt Grieb, Ya Zhang, Ching-chih Chen, Yixin Chen, Jia Li:
Machine annotation and retrieval for digital imagery of historical materials. Int. J. Digit. Libr. 6(1): 18-29 (2006) - [c8]Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook:
Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. ICDM 2006: 178-187 - [c7]Ya Zhang, Yixin Chen, Xiang Ji:
Motif Discovery as a Multiple-Instance Problem. ICTAI 2006: 805-809 - 2005
- [j2]Ya Zhang, John-Marc Chandonia, Chris H. Q. Ding, Stephen R. Holbrook:
Comparative mapping of sequence-based and structure-based protein domains. BMC Bioinform. 6: 77 (2005) - [c6]Ya Zhang, Hongyuan Zha, Chao-Hsien Chu, Xiang Ji:
Protein Interaction Inference as a MAX-SAT Problem. CVPR Workshops 2005: 146 - [c5]Ding Zhou, Yang Song, Hongyuan Zha, Ya Zhang:
Towards discovering organizational structure from email corpus. ICMLA 2005 - [c4]Ya Zhang, Hongyuan Zha, Chao-Hsien Chu:
A Time-Series Biclustering Algorithm for Revealing Co-Regulated Genes. ITCC (1) 2005: 32-37 - [c3]Yixin Chen, Ya Zhang, Xiang Ji:
Size Regularized Cut for Data Clustering. NIPS 2005: 211-218 - [c2]Hui Xiong, Xiaofeng He, Chris H. Q. Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook:
Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery. Pacific Symposium on Biocomputing 2005 - 2004
- [j1]Ya Zhang, Chao-Hsien Chu, Xiang Ji, Hongyuan Zha:
Correlating summarization of multi-source news with k-way graph bi-clustering. SIGKDD Explor. 6(2): 34-42 (2004) - 2002
- [c1]Ya Zhang, James Ze Wang:
Progressive display of very high resolution images using wavelets. AMIA 2002
Coauthor Index
[j64] [j58] [j56] [j50] [c152] [c143] [i100] [i96] [j46] [j45] [j41] [c138] [c136] [c135] [c134] [c130] [i86] [i81] [i80] [i78] [i77] [j40] [c121] [c117] [c116] [c115] [c112] [c107] [c106] [i67] [i63] [i62] [i59] [i58] [i56] [i54] [i53] [c104] [c103] [c99] [c98] [c91] [i50] [i49] [i46] [i45] [i41] [i38] [i37] [i32] [c88] [i31] [i30] [i28] [i26]
Yanfeng Wang
aka: Yan-Feng Wang
aka: Yan-Feng Wang
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