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2020 – today
- 2024
[j54]Wanting Zhou
, Longteng Kong, Yushan Han, Jie Qin, Zhenan Sun:
Contextualized Relation Predictive Model for Self-Supervised Group Activity Representation Learning. IEEE Trans. Multim. 26: 353-366 (2024)- [c94]Xiaoyi Bao, Jie Qin, Siyang Sun, Xingang Wang, Yun Zheng:
Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation. AAAI 2024: 765-773 - [c93]Jinsong Shi, Pan Gao, Jie Qin:
Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning. AAAI 2024: 4829-4837 - [c92]Qingguo Liu, Chenyi Zhuang, Pan Gao, Jie Qin:
CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution. CVPR 2024: 7455-7464 - [c91]Sizhe Zheng, Pan Gao, Peng Zhou, Jie Qin:
Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network. CVPR 2024: 8059-8068 - [c90]Xin-Jian Wu, Ruisong Zhang, Jie Qin, Shijie Ma, Cheng-Lin Liu:
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models. ECCV (44) 2024: 314-333 - [c89]Qingzhi He, Rong Quan, Weifeng Yang, Jie Qin:
Visual Feature Disentanglement for Zero-Shot Learning. ICME 2024: 1-6 - [c88]Jiayi Chen, Rong Quan, Jie Qin:
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation. IJCAI 2024: 641-649 - [c87]Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin:
Unified Unsupervised Salient Object Detection via Knowledge Transfer. IJCAI 2024: 1616-1624 - [c86]Peng Zhou, Dunbo Cai, Yujian Du, Runqing Zhang, Bingbing Ni, Jie Qin, Ling Qian:
Edit3D: Elevating 3D Scene Editing with Attention-Driven Multi-Turn Interactivity. ACM Multimedia 2024: 3401-3410 - [c85]Liangxu Su, Rong Quan, Zhiyuan Qi, Jie Qin:
MACA: Memory-aided Coarse-to-fine Alignment for Text-based Person Search. SIGIR 2024: 2497-2501 - [i56]Jie Qin, Jie Wu, Weifeng Chen, Yuxi Ren, Huixia Li, Hefeng Wu, Xuefeng Xiao, Rui Wang, Shilei Wen:
DiffusionGPT: LLM-Driven Text-to-Image Generation System. CoRR abs/2401.10061 (2024) - [i55]Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin:
Unified Unsupervised Salient Object Detection via Knowledge Transfer. CoRR abs/2404.14759 (2024) - [i54]Jing Xu, Wentao Shi, Sheng Ren, Pan Gao, Peng Zhou, Jie Qin:
Sparse Sampling is All You Need for Fast Wrong-way Cycling Detection in CCTV Videos. CoRR abs/2405.07293 (2024) - [i53]Qingguo Liu, Chenyi Zhuang, Pan Gao, Jie Qin:
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution. CoRR abs/2405.07648 (2024) - [i52]Tao Wu, Shuqiu Ge, Jie Qin, Gangshan Wu, Limin Wang:
Open-Vocabulary Spatio-Temporal Action Detection. CoRR abs/2405.10832 (2024) - [i51]Jiayi Chen, Rong Quan, Jie Qin:
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation. CoRR abs/2405.15265 (2024) - [i50]Sizhe Zheng, Pan Gao, Peng Zhou, Jie Qin:
Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network. CoRR abs/2405.19775 (2024) - [i49]Jinsong Shi, Pan Gao, Xiaojiang Peng, Jie Qin:
DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment. CoRR abs/2407.03886 (2024) - [i48]Xinjian Wu, Ruisong Zhang, Jie Qin, Shijie Ma, Cheng-Lin Liu:
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models. CoRR abs/2407.10131 (2024) - 2023
- [j53]Yichao Yan, Jinpeng Li, Jie Qin, Peng Zheng, Shengcai Liao, Xiaokang Yang:
Efficient Person Search: An Anchor-Free Approach. Int. J. Comput. Vis. 131(7): 1642-1661 (2023) - [j52]Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7001-7018 (2023) - [j51]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10173-10196 (2023) - [j50]Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Yu-Wing Tai, Chi-Keung Tang, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10929-10946 (2023) - [j49]Zijin Liu, Jianhua Si, Yanfang Deng, Bing Jia, Xinrong Li, Xiaohui He, Dongmeng Zhou, Chunlin Wang, Xinglin Zhu, Jie Qin, Boniface Ndayambaza, Boyang Wang:
Assessment of Land Desertification and Its Drivers in Semi-Arid Alpine Mountains: A Case Study of the Qilian Mountains Region, Northwest China. Remote. Sens. 15(15): 3836 (2023) - [j48]Geng Chen, Jie Qin, Boulbaba Ben Amor, Weiming Zhou, Hang Dai, Tao Zhou, Heyuan Huang, Ling Shao:
Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. IEEE Trans. Medical Imaging 42(11): 3194-3204 (2023) - [j47]Rui Gao, Xingsong Hou, Jie Qin, Yuming Shen, Yang Long, Li Liu, Zhao Zhang, Ling Shao:
Visual-Semantic Aligned Bidirectional Network for Zero-Shot Learning. IEEE Trans. Multim. 25: 1649-1664 (2023) - [c84]Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong:
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection. AAAI 2023: 3687-3695 - [c83]Lin Geng, Ningzhong Liu, Jie Qin:
Multi-Classifier Adversarial Optimization for Active Learning. AAAI 2023: 7687-7695 - [c82]Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong:
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers. CVPR 2023: 5557-5566 - [c81]Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Yuxi Ren, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang:
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation. CVPR 2023: 19446-19455 - [c80]Jie Qin, Yueming Lyu, Xingang Wang:
Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation. ECAI 2023: 1906-1913 - [c79]Zhiheng Hu, Yongzhen Wang, Peng Li, Jie Qin, Haoran Xie, Mingqiang Wei:
ISmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection. ICASSP 2023: 1-5 - [c78]Jie Qin, Peng Zheng, Yichao Yan, Rong Quan, Xiaogang Cheng, Bingbing Ni:
Movienet-PS: A Large-Scale Person Search Dataset in the Wild. ICASSP 2023: 1-5 - [c77]Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan:
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection. ICCV 2023: 6843-6853 - [c76]Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang:
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection. ICCV 2023: 6865-6874 - [c75]Yue Feng, Zhengye Zhang, Rong Quan, Limin Wang, Jie Qin:
RefineTAD: Learning Proposal-free Refinement for Temporal Action Detection. ACM Multimedia 2023: 135-143 - [c74]Shifeng Xia, Lin Geng, Ningzhong Liu, Han Sun, Jie Qin:
Lifelong Scene Text Recognizer via Expert Modules. ACM Multimedia 2023: 1821-1830 - [c73]Pan Gao, Haoyue Tian, Jie Qin:
Video Frame Interpolation with Flow Transformer. ACM Multimedia 2023: 1933-1942 - [i47]Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong:
Memory-aided Contrastive Consensus Learning for Co-salient Object Detection. CoRR abs/2302.14485 (2023) - [i46]Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao:
Self-Paced Learning for Open-Set Domain Adaptation. CoRR abs/2303.05933 (2023) - [i45]Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong:
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers. CoRR abs/2303.14816 (2023) - [i44]Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Yuxi Ren, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang:
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation. CoRR abs/2303.17225 (2023) - [i43]Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan:
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection. CoRR abs/2307.11077 (2023) - [i42]Pan Gao, Haoyue Tian, Jie Qin:
Video Frame Interpolation with Flow Transformer. CoRR abs/2307.16144 (2023) - [i41]Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang:
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection. CoRR abs/2308.10155 (2023) - [i40]Manlin Zhang, Jie Wu, Yuxi Ren, Ming Li, Jie Qin, Xuefeng Xiao, Wei Liu, Rui Wang, Min Zheng, Andy J. Ma:
DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection. CoRR abs/2309.03893 (2023) - [i39]Jiamei Liu, Han Sun, Yizhen Jia, Jie Qin, Huiyu Zhou, Ningzhong Liu:
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation. CoRR abs/2310.08928 (2023) - [i38]Junjie Li, Guanshuo Wang, Yichao Yan, Fufu Yu, Qiong Jia, Jie Qin, Shouhong Ding, Xiaokang Yang:
Generalizable Person Search on Open-world User-Generated Video Content. CoRR abs/2310.10068 (2023) - [i37]Xiaoyi Bao, Jie Qin, Siyang Sun, Yun Zheng, Xingang Wang:
Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation. CoRR abs/2312.06474 (2023) - [i36]Jinsong Shi, Pan Gao, Jie Qin:
Transformer-based No-Reference Image Quality Assessment via Supervised Contrastive Learning. CoRR abs/2312.06995 (2023) - 2022
- [j46]Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Yi Fang, Nhat Hoang-Xuan, Chi-Bien Chu, Khoi-Nguyen Nguyen-Ngoc, Thien-Tri Cao, Nhat-Khang Ngô, Tuan-Luc Huynh, Hai-Dang Nguyen, Minh-Triet Tran, Haoyang Luo, Jianning Wang, Zheng Zhang, Zihao Xin, Yang Wang, Feng Wang, Ying Tang, Haiqin Chen, Yan Wang, Qunying Zhou, Ji Zhang, Hongyuan Wang:
SHREC'22 track: Sketch-based 3D shape retrieval in the wild. Comput. Graph. 107: 104-115 (2022) - [j45]Yongjie Tan, Jie Qin:
An intelligent image denoising method using weighted multi-scale CB morphological filter algorithm. Int. J. Inf. Technol. Manag. 21(4): 359-368 (2022) - [j44]Yuanyuan Liu, Chuanxu Feng, Xiaohui Yuan, Lin Zhou, Wenbin Wang, Jie Qin, Zhongwen Luo:
Clip-aware expressive feature learning for video-based facial expression recognition. Inf. Sci. 598: 182-195 (2022) - [j43]Xingyu Ru, Kaiyan He, Bingjiang Lyu, Dongxu Li, Wei Xu, Wenyu Gu, Xiao Ma, Jiayi Liu, Congcong Li, Tingyue Li, Fufu Zheng, Xiaozhou Yan, Yugang Yin, Hongfeng Duan, Shuai Na, Shuangai Wan, Jie Qin, Jingwei Sheng, Jia-Hong Gao:
Multimodal neuroimaging with optically pumped magnetometers: A simultaneous MEG-EEG-fNIRS acquisition system. NeuroImage 259: 119420 (2022) - [j42]Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, Ling Shao:
A Generalized Method for Binary Optimization: Convergence Analysis and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4524-4543 (2022) - [j41]Yizhan Zhao, Lv Zhou, Cheng Wang, Jiahao Li, Jie Qin, Haiquan Sheng, Liangke Huang, Xin Li:
Analysis of the Spatial and Temporal Evolution of Land Subsidence in Wuhan, China from 2017 to 2021. Remote. Sens. 14(13): 3142 (2022) - [j40]Jiahao Li, Lv Zhou, Zilin Zhu, Jie Qin, Lingxiao Xian, Di Zhang, Ling Huang:
Surface Deformation Mechanism Analysis in Shanghai Areas Based on TS-InSAR Technology. Remote. Sens. 14(17): 4368 (2022) - [c72]Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang:
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. AAAI 2022: 2117-2125 - [c71]Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang:
Exploring Visual Context for Weakly Supervised Person Search. AAAI 2022: 3027-3035 - [c70]Zichen Yang, Jie Qin, Di Huang:
ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization. AAAI 2022: 3090-3098 - [c69]Xu Xu, Jierui Zhang, Jie Qin, Zening Li, Guangcheng Ma, Hongwei Xia:
Mass Characteristics Identification and Intelligent Automatic Balancing Technology of Three-Axis Air-Bearing Testbed. AsiaSim (2) 2022: 273-287 - [c68]Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang:
Motion Sensitive Contrastive Learning for Self-supervised Video Representation. ECCV (35) 2022: 457-474 - [c67]Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang:
Multi-granularity Distillation Scheme Towards Lightweight Semi-supervised Semantic Segmentation. ECCV (30) 2022: 481-498 - [c66]Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang:
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles. ECCV (10) 2022: 494-511 - [c65]Jiahao Wang, Jie Qin, Yunhong Wang, Annan Li:
PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation. IJCAI 2022: 1423-1429 - [i35]Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham:
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. CoRR abs/2204.09138 (2022) - [i34]Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. CoRR abs/2205.15469 (2022) - [i33]Ming Li, Jie Wu, Jinhang Cai, Jie Qin, Yuxi Ren, Xuefeng Xiao, Min Zheng, Rui Wang, Xin Pan:
Parallel Pre-trained Transformers (PPT) for Synthetic Data-based Instance Segmentation. CoRR abs/2206.10845 (2022) - [i32]Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Yi Fang, Nhat Hoang-Xuan, Chi-Bien Chu, Khoi-Nguyen Nguyen-Ngoc, Thien-Tri Cao, Nhat-Khang Ngô, Tuan-Luc Huynh, Hai-Dang Nguyen, Minh-Triet Tran, Haoyang Luo, Jianning Wang, Zheng Zhang, Zihao Xin, Yang Wang, Feng Wang, Ying Tang, Haiqin Chen, Yan Wang, Qunying Zhou, Ji Zhang, Hongyuan Wang:
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild. CoRR abs/2207.04945 (2022) - [i31]Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang:
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles. CoRR abs/2207.10172 (2022) - [i30]Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang:
Motion Sensitive Contrastive Learning for Self-supervised Video Representation. CoRR abs/2208.06105 (2022) - [i29]Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang:
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation. CoRR abs/2208.10169 (2022) - [i28]Zhiheng Hu, Yongzhen Wang, Peng Li, Jie Qin, Haoran Xie, Mingqiang Wei:
iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection. CoRR abs/2210.16561 (2022) - 2021
- [j39]Weigang Wang, Jie Qin, Yunwei Zhang, Dashan Deng, Shujuan Yu, Yun Zhang, Yuanjian Liu:
TNNL: A novel image dimensionality reduction method for face image recognition. Digit. Signal Process. 115: 103082 (2021) - [j38]Chendong Xu, Weigang Wang, Yunwei Zhang, Jie Qin, Shujuan Yu, Yun Zhang:
An Indoor Localization System Using Residual Learning with Channel State Information. Entropy 23(5): 574 (2021) - [j37]Yuan Huang, Xingsong Hou, Yujie Dun, Jie Qin, Li Liu, Xueming Qian, Ling Shao:
Learning Deformable and Attentive Network for image restoration. Knowl. Based Syst. 231: 107384 (2021) - [j36]Yunwei Zhang, Weigang Wang, Chendong Xu, Jie Qin, Shujuan Yu, Yun Zhang:
SICD: Novel Single-Access-Point Indoor Localization Based on CSI-MIMO with Dimensionality Reduction. Sensors 21(4): 1325 (2021) - [j35]Mengshi Qi, Jie Qin, Yi Yang, Yunhong Wang, Jiebo Luo:
Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval. IEEE Trans. Image Process. 30: 2989-3004 (2021) - [c64]Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. AAAI 2021: 9594-9602 - [c63]Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides:
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. CVPR 2021: 2165-2174 - [c62]Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CVPR 2021: 7690-7699 - [c61]Zichen Yang, Di Huang, Jie Qin, Yunhong Wang:
Human-Aware Coarse-to-Fine Online Action Detection. ICASSP 2021: 2455-2459 - [c60]Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham:
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. ICCV 2021: 15984-15993 - [c59]Fangbo Qin, Jie Qin, Siyu Huang, De Xu:
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement. ICRA 2021: 4311-4317 - [c58]Yu Fan, Chun Lei, Qing Zhang, Wei Bai, Jie Qin, Xiaodong Zhang:
System Construction and Development Strategy of Enterprise Staff Education and Training Mode. IPEC 2021: 325-329 - [c57]Jingcheng Ni, Jie Qin, Di Huang:
Identity-aware Graph Memory Network for Action Detection. ACM Multimedia 2021: 3437-3445 - [c56]Mengshi Qi, Jie Qin, Di Huang, Zhiqiang Shen, Yi Yang, Jiebo Luo:
Latent Memory-augmented Graph Transformer for Visual Storytelling. ACM Multimedia 2021: 4892-4901 - [c55]Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao:
You Never Cluster Alone. NeurIPS 2021: 27734-27746 - [i27]Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. CoRR abs/2102.03983 (2021) - [i26]Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides:
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration. CoRR abs/2102.08946 (2021) - [i25]Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham:
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. CoRR abs/2103.01055 (2021) - [i24]Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CoRR abs/2103.11617 (2021) - [i23]Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. CoRR abs/2104.14236 (2021) - [i22]Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. CoRR abs/2104.14913 (2021) - [i21]Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao:
You Never Cluster Alone. CoRR abs/2106.01908 (2021) - [i20]Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang, Ling Shao:
Exploring Visual Context for Weakly Supervised Person Search. CoRR abs/2106.10506 (2021) - [i19]Jingcheng Ni, Jie Qin, Di Huang:
Identity-aware Graph Memory Network for Action Detection. CoRR abs/2108.11559 (2021) - [i18]Yichao Yan, Jinpeng Li, Jie Qin, Shengcai Liao, Xiaokang Yang:
Efficient Person Search: An Anchor-Free Approach. CoRR abs/2109.00211 (2021) - [i17]Yichao Yan, Junjie Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang:
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification. CoRR abs/2111.14290 (2021) - [i16]Peng Zheng, Jie Qin, Yichao Yan, Shengcai Liao, Bingbing Ni, Xiaogang Cheng, Ling Shao:
Global-Local Context Network for Person Search. CoRR abs/2112.02500 (2021) - [i15]Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang:
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. CoRR abs/2112.08996 (2021) - [i14]Zichen Yang, Jie Qin, Di Huang:
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization. CoRR abs/2112.10977 (2021) - 2020
- [j34]Li Liu, Matti Pietikäinen, Jie Qin, Wanli Ouyang, Luc Van Gool:
Efficient Visual Recognition. Int. J. Comput. Vis. 128(8): 1997-2001 (2020) - [j33]Yongjie Tan, Jie Qin:
A reversible water marking algorithm for multimedia images using two-dimensional non-causal prediction and ESPVD. Multim. Tools Appl. 79(3-4): 1625-1640 (2020) - [j32]Lei Huang, Xianglong Liu, Jie Qin, Fan Zhu, Li Liu, Ling Shao:
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. Pattern Recognit. 105: 107317 (2020) - [j31]Longteng Kong, Di Huang, Jie Qin, Yunhong Wang:
A Joint Framework for Athlete Tracking and Action Recognition in Sports Videos. IEEE Trans. Circuits Syst. Video Technol. 30(2): 532-548 (2020) - [j30]Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li, Jiebo Luo, Luc Van Gool:
stagNet: An Attentive Semantic RNN for Group Activity and Individual Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(2): 549-565 (2020) - [j29]Huanghuang Jin, Jian Guo, Hongbo Wang, Zhihong Zhuang, Jie Qin, Tonglei Wang:
Magnetic Anomaly Detection and Localization Using Orthogonal Basis of Magnetic Tensor Contraction. IEEE Trans. Geosci. Remote. Sens. 58(8): 5944-5954 (2020) - [j28]Rui Gao, Xingsong Hou, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Zhao Zhang, Ling Shao:
Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Trans. Image Process. 29: 3665-3680 (2020) - [j27]Zhengming Li, Zheng Zhang, Jie Qin, Zhao Zhang, Ling Shao:
Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(3): 786-800 (2020) - [c54]Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. CVPR 2020: 2815-2824 - [c53]Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. CVPR 2020: 2896-2905 - [c52]Mengshi Qi, Jie Qin, Yu Wu, Yi Yang:
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation. CVPR 2020: 12733-12742 - [c51]Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang:
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. ECAI 2020: 1706-1713 - [c50]Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao:
Learning Attentive and Hierarchical Representations for 3D Shape Recognition. ECCV (15) 2020: 105-122 - [c49]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. ECCV (2) 2020: 384-401 - [c48]Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao:
Region Graph Embedding Network for Zero-Shot Learning. ECCV (4) 2020: 562-580 - [c47]Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Invertible Zero-Shot Recognition Flows. ECCV (16) 2020: 614-631 - [c46]Mengshi Qi, Jie Qin, Xiantong Zhen, Di Huang, Yi Yang, Jiebo Luo:
Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks. ACM Multimedia 2020: 3007-3015 - [c45]Jiaxin Chen, Jie Qin, Yichao Yan, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Deep Local Binary Coding for Person Re-Identification by Delving into the Details. ACM Multimedia 2020: 3034-3043 - [i13]Zhao Zhang, Zemin Tang, Yang Wang, Jie Qin, Zhengjun Zha, Shuicheng Yan:
Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition. CoRR abs/2001.09021 (2020) - [i12]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR abs/2002.10801 (2020) - [i11]Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. CoRR abs/2002.11930 (2020) - [i10]Yuming Shen, Jie Qin, Lei Huang:
Invertible Zero-Shot Recognition Flows. CoRR abs/2007.04873 (2020) - [i9]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR abs/2009.12836 (2020) - [i8]Fangbo Qin, Jie Qin, Siyu Huang, De Xu:
Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement. CoRR abs/2010.03325 (2020) - [i7]Jie Qin, Jiemin Fang, Qian Zhang, Wenyu Liu, Xingang Wang, Xinggang Wang:
ResizeMix: Mixing Data with Preserved Object Information and True Labels. CoRR abs/2012.11101 (2020)
2010 – 2019
- 2019
- [j26]Cuijun Dong, Qingzhou Mao, Xiaochun Ren, Donghua Kou, Jie Qin, Wei Hu:
Algorithms and Instrument for Rapid Detection of Rail Surface Defects and Vertical Short-Wave Irregularities Based on FOG and Odometer. IEEE Access 7: 31558-31572 (2019) - [j25]Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai:
Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality. Neural Networks 119: 93-112 (2019) - [j24]Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan:
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. IEEE Trans. Knowl. Data Eng. 31(12): 2423-2440 (2019) - [c44]Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie, Ling Shao:
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing. CVPR 2019: 791-800 - [c43]Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li:
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing. CVPR 2019: 5237-5246 - [c42]Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao:
Attentive Region Embedding Network for Zero-Shot Learning. CVPR 2019: 9384-9393 - [c41]Hao Li, Yuan Sun, Wei Song, Jie Qin:
Research on the Promotion of Tibetan New Words and Platform Design. ICAIS (1) 2019: 39-50 - [c40]Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ziyi Shen:
Embarrassingly Simple Binary Representation Learning. ICCV Workshops 2019: 2883-2892 - [c39]Jiehao Xu, Chengyu Guo, Qingjie Liu, Jie Qin, Yunhong Wang, Li Liu:
DHA: Supervised Deep Learning to Hash with an Adaptive Loss Function. ICCV Workshops 2019: 3054-3062 - [c38]Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc Van Gool:
Adversarial Binary Coding for Efficient Person Re-Identification. ICME 2019: 700-705 - [c37]Chuandong Yang, Zhen Liu, Songnan Liu, Jie Qin, Dong Chen:
An End-to-End Pyramid Convolutional Neural Network for Dehazing. IGTA 2019: 41-50 - [c36]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. IJCAI 2019: 4376-4382 - [i6]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. CoRR abs/1905.10568 (2019) - [i5]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. CoRR abs/1905.11543 (2019) - [i4]Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu:
Embarrassingly Simple Binary Representation Learning. CoRR abs/1908.09573 (2019) - [i3]Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang:
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. CoRR abs/1912.06446 (2019) - 2018
- [j23]Rui Qiao, Sifeng Zhu, Qingxian Wang, Jie Qin:
Optimization of dynamic data traceability mechanism in Internet of Things based on consortium blockchain. Int. J. Distributed Sens. Networks 14(12) (2018) - [j22]Qian Wang, Laihang Yu, Yan Cao, Lei Zhang, Jie Qin, Haiqin Ye:
基于Fibonacci置乱的小波域数字图像盲水印算法 (Blind Watermarking Algorithm for Digital Image Based on Fibonacci Scrambling in Wavelet Domain). 计算机科学 45(6): 135-140 (2018) - [j21]Yan Zhang, Zhao Zhang, Jie Qin, Li Zhang, Bing Li, Fanzhang Li:
Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. Pattern Recognit. 76: 662-678 (2018) - [j20]Zhao Zhang, Fanzhang Li, Lei Jia, Jie Qin, Li Zhang, Shuicheng Yan:
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3388-3403 (2018) - [j19]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3798-3814 (2018) - [c35]Decheng Chen, Rong Fu, Shaoqun Song, Jie Qin:
Network Security Situation Awareness of Power Dispatching Automation System Based on LDA-RBF. CCIS 2018: 572-577 - [c34]Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc Van Gool:
stagNet: An Attentive Semantic RNN for Group Activity Recognition. ECCV (10) 2018: 104-120 - [c33]Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Jie Qin, Ling Shao, Heng Tao Shen:
TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights. ECCV (2) 2018: 322-339 - [c32]Rui Gao, Xingsong Hou, Jie Qin, Li Liu, Fan Zhu, Zhao Zhang:
A Joint Generative Model for Zero-Shot Learning. ECCV Workshops (4) 2018: 631-646 - [c31]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. ECCV (12) 2018: 731-748 - [c30]Longteng Kong, Jie Qin, Di Huang, Yunhong Wang, Luc Van Gool:
Hierarchical Attention and Context Modeling for Group Activity Recognition. ICASSP 2018: 1328-1332 - [c29]Lei Wang, Zhao Zhang, Guangcan Liu, Qiaolin Ye, Jie Qin, Meng Wang:
Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation. ICPR 2018: 800-805 - [c28]Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan:
Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. ICPR 2018: 1664-1669 - [c27]Zemin Tang, Zhao Zhang, Xiao-hu Ma, Jie Qin, Mingbo Zhao:
Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification. PCM (1) 2018: 357-369 - [c26]Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin:
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. PRICAI (1) 2018: 71-84 - [i2]Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc Van Gool:
Adversarial Binary Coding for Efficient Person Re-identification. CoRR abs/1803.10914 (2018) - [i1]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. CoRR abs/1809.05992 (2018) - 2017
- [j18]Jie Qin, Li Liu, Mengyang Yu, Yunhong Wang, Ling Shao:
Fast action retrieval from videos via feature disaggregation. Comput. Vis. Image Underst. 156: 104-116 (2017) - [j17]Hui Tian, Jun Sun, Chin-Chen Chang, Jie Qin, Yonghong Chen:
Hiding Information Into Voice-Over-IP Streams Using Adaptive Bitrate Modulation. IEEE Commun. Lett. 21(4): 749-752 (2017) - [j16]Huaping Liu, Jie Qin, Fuchun Sun, Di Guo:
Extreme Kernel Sparse Learning for Tactile Object Recognition. IEEE Trans. Cybern. 47(12): 4509-4520 (2017) - [c25]Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang:
Zero-Shot Action Recognition with Error-Correcting Output Codes. CVPR 2017: 1042-1051 - [c24]Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao:
Fast Person Re-identification via Cross-Camera Semantic Binary Transformation. CVPR 2017: 5330-5339 - [c23]Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang:
Binary Coding for Partial Action Analysis with Limited Observation Ratios. CVPR 2017: 6728-6737 - [c22]Jie Qin, Huaping Liu, Guangqiang Zhang, Junyi Che, Fuchun Sun:
Grasp stability prediction using tactile information. ICARM 2017: 498-503 - [c21]Weiming Jiang, Zhao Zhang, Jie Qin, Mingbo Zhao, Fanzhang Li, Shuicheng Yan:
Robust Projective Dictionary Learning by Joint Label Embedding and Classification. ICDM Workshops 2017: 510-517 - [c20]Xiaoyi Tian, Weilin Xie, Xiaocheng Wang, Jie Qin, Nan Deng, Yi Dong, Weisheng Hu:
Highly linear analog photonic link based on composite optical phase-locked loop. OFC 2017: 1-3 - 2016
- [j15]Jie Qin, Tai-Quan Peng:
Googling environmental issues: Web search queries as a measurement of public attention on environmental issues. Internet Res. 26(1): 57-73 (2016) - [j14]Jie Qin, Zhan Gao, Xu Wang, Shanwei Yang:
Three-Dimensional Continuous Displacement Measurement with Temporal Speckle Pattern Interferometry. Sensors 16(12): 2020 (2016) - [j13]Jie Qin, Yunhong Wang, Li Liu, Jiaxin Chen, Ling Shao:
Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition. IEEE Signal Process. Lett. 23(11): 1667-1671 (2016) - [j12]Jie Qin, Li Liu, Zhaoxiang Zhang, Yunhong Wang, Ling Shao:
Compressive Sequential Learning for Action Similarity Labeling. IEEE Trans. Image Process. 25(2): 756-769 (2016) - [c19]Zhihong Dong, Jie Qin, Yunhong Wang:
Multi-stream Deep Networks for Person to Person Violence Detection in Videos. CCPR (1) 2016: 517-531 - 2015
- [j11]Hui Tian, Jie Qin, Shuting Guo, Yongfeng Huang, Jin Liu, Tian Wang, Yonghong Chen, Yiqiao Cai:
Improved adaptive partial-matching steganography for Voice over IP. Comput. Commun. 70: 95-108 (2015) - [j10]Hui Tian, Jie Qin, Yongfeng Huang, Xu An Wang, Jin Liu, Yonghong Chen, Tian Wang, Yiqiao Cai:
A High-Capacity Covering Code for Voice-Over-IP Steganography. Int. J. Inf. Technol. Web Eng. 10(3): 46-63 (2015) - [j9]Jie Qin:
A model of regret, investor behavior, and market turbulence. J. Econ. Theory 160: 150-174 (2015) - [j8]Jie Qin, Yihui He, Jun Lai:
一种改进Borda分值的决策方法 (Improved Decision Method of Borda Score). 计算机科学 42(Z11): 5-6 (2015) - [j7]Hui Tian, Jie Qin, Yongfeng Huang, Yonghong Chen, Tian Wang, Jin Liu, Yiqiao Cai:
Optimal matrix embedding for Voice-over-IP steganography. Signal Process. 117: 33-43 (2015) - [c18]Jie Qin, Hui Tian, Yongfeng Huang, Jin Liu, Yonghong Chen, Tian Wang, Yiqiao Cai, Xu An Wang:
An Efficient VoIP Steganography Based on Random Binary Matrix. 3PGCIC 2015: 462-465 - [c17]Jie Qin, Li Liu, Mengyang Yu, Yunhong Wang, Ling Shao:
Fast Action Retrieval from Videos via Feature Disaggregation. BMVC 2015: 180.1-180.11 - [c16]Huaping Liu, Jie Qin, Hong Cheng, Fuchun Sun:
Robust Kernel Dictionary Learning Using a Whole Sequence Convergent Algorithm. IJCAI 2015: 3678-3684 - 2014
- [c15]Xin Sun, Di Huang, Yunhong Wang, Jie Qin:
Action recognition based on kinematic representation of video data. ICIP 2014: 1530-1534 - [c14]Zhaoxiang Zhang, Jie Qin, Yunhong Wang, Meng Liang:
Object Classification in Traffic Scene Surveillance Based on Online Semi-supervised Active Learning. ICPR 2014: 3086-3091 - 2013
- [c13]Jie Qin, Zhaoxiang Zhang, Yunhong Wang:
Cross-view action recognition via transductive transfer learning. ICIP 2013: 3582-3586 - 2012
- [j6]Bin Song, Haixiao Liu, Hao Qin, Jie Qin:
A Direct Inter-Mode Selection Algorithm for P-Frames in Fast H.264/AVC Transcoding. IEICE Trans. Commun. 95-B(6): 2101-2108 (2012) - [j5]Jiancheng Fang, Jie Qin:
Advances in Atomic Gyroscopes: A View from Inertial Navigation Applications. Sensors 12(5): 6331-6346 (2012) - [c12]Zhaohui Xu, Jie Qin, Fuliang Yan:
An XML Data Query Method Based on Structure-Encoded. WISM 2012: 706-713 - 2011
- [j4]Jie Qin, Joseph Cali, Bradley F. Dutton, George J. Starr, Fa Foster Dai, Charles E. Stroud:
Selective Spectrum Analysis for Analog Measurements. IEEE Trans. Ind. Electron. 58(10): 4960-4971 (2011) - [c11]Jie Qin, Qun Si, Huijuan Yan, Fuliang Yan:
A Trojan Detector Generating Algorithm Based on Chaotic Theory. ICIC (1) 2011: 502-508 - [c10]Jie Qin, Shaobo Li, Haisong Huang:
An Application of Fuzzy Control Based on PLC in the Pressure Control System of Chinese Medicine Water Extraction. ISCID (1) 2011: 119-122
2000 – 2009
- 2009
- [c9]George J. Starr, Jie Qin, Bradley F. Dutton, Charles E. Stroud, Foster F. Dai, Victor P. Nelson:
Automated Generation of Built-In Self-Test and Measurement Circuitry for Mixed-Signal Circuits and Systems. DFT 2009: 11-19 - [c8]Jie Qin, Shu-Mei Zhao, Lin Liu, Shan Gao:
Querying XML Documents Based on Multi-processor. FSKD (2) 2009: 327-331 - 2007
- [j3]Jie Qin, Charles E. Stroud, Fa Foster Dai:
FPGA-Based Analog Functional Measurements for Adaptive Control in Mixed-Signal Systems. IEEE Trans. Ind. Electron. 54(4): 1885-1897 (2007) - [c7]Jie Qin, Charles E. Stroud, Foster F. Dai:
Noise Figure Measurement Using Mixed-Signal BIST. ISCAS 2007: 2180-2183 - 2006
- [j2]Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang Wang, Kexuan Tang:
Prediction of protein structural class with Rough Sets. BMC Bioinform. 7: 20 (2006) - [c6]ZhenYang Xu, Jie Qin, Guangsheng Zhang, Wenhua Dou:
Relay-Bounded Single-Actor Selection Algorithms for Wireless Sensor and Actor Networks. ICNC (2) 2006: 416-427 - [c5]Bingzhang Liu, Jie Qin, Xin Zhang, Dacheng Yang:
A Prediction-Based Smoothing Scheme for Real-Time Video Transmission in 3G CDMA Systems. PIMRC 2006: 1-5 - [c4]ZhenYang Xu, Guangsheng Zhang, Jie Qin, Wenhua Dou:
Single-Actor Selection Algorithms for Wireless Sensor and Actor Networks. WASA 2006: 283-294 - [c3]Jie Qin, Bingzhang Liu, Xin Zhang, Dacheng Yang:
A Real-Time Smoothing Scheme of MPEG-4 Video for CDMA Systems. WOWMOM 2006: 441-443 - 2005
- [c2]Jie Qin, Shu-Mei Zhao, Shuqiang Yang, Wenhua Dou:
XPEV: A Storage Model for Well-Formed XML Documents. FSKD (1) 2005: 360-369 - 2003
- [j1]Jie Qin, Darrin P. Lewis, William Stafford Noble:
Kernel hierarchical gene clustering from microarray expression data. Bioinform. 19(16): 2097-2104 (2003) - [c1]Jie Qin, Shuqiang Yang, Wenhua Dou:
Parallel Storing and Querying XML Documents Using Relational DBMS. APPT 2003: 629-633
Coauthor Index
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