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ORCIDDeng Cai 0001
Person information
- affiliation: Zhejiang University, College of Computer Science, State Key Laboratory of CAD&CG, Hangzhou, China
- affiliation (PhD 2009): University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
Other persons with the same name
- Deng Cai 0002
![[0000-0003-3444-8383]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3444-8383")
— Tencent AI Lab, China (and 1 more)
2020 – today
- 2024
[c159]Yangyi Huang, Hongwei Yi, Yuliang Xiu, Tingting Liao, Jiaxiang Tang, Deng Cai, Justus Thies:
TeCH: Text-Guided Reconstruction of Lifelike Clothed Humans. 3DV 2024: 1531-1542- [c158]Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai:
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. AAAI 2024: 3513-3521 - [c157]Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang:
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. AAAI 2024: 6153-6161 - [c156]Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai:
Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving. AAAI 2024: 6306-6314 - [c155]Ruisi Zhao, Mingming Li, Zheng Yang, Binbin Lin, Xiaohui Zhong, Xiaobo Ren, Deng Cai, Boxi Wu:
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing. AAAI 2024: 7505-7513 - [c154]Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai:
Learning Occupancy for Monocular 3D Object Detection. CVPR 2024: 10281-10292 - [c153]Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai:
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection. CVPR 2024: 15291-15300 - [c152]Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang:
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation. CVPR 2024: 15311-15320 - [c151]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. ICML 2024 - [c150]Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang:
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. IJCAI 2024: 2579-2587 - [c149]Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye:
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NeurIPS 2024 - [i109]Hengjia Li, Yang Liu, Yuqi Lin, Zhanwei Zhang, Yibo Zhao, weihang Pan, Tu Zheng, Zheng Yang, Yuchun Jiang, Boxi Wu, Deng Cai:
UniHDA: Towards Universal Hybrid Domain Adaptation of Image Generators. CoRR abs/2401.12596 (2024) - [i108]Wenxiao Wang, Wei Chen, Yicong Luo, Yongliu Long, Zhengkai Lin, Liye Zhang, Binbin Lin, Deng Cai, Xiaofei He:
Model Compression and Efficient Inference for Large Language Models: A Survey. CoRR abs/2402.09748 (2024) - [i107]Chenxi Huang, Yuenan Hou, Weicai Ye, Di Huang, Xiaoshui Huang, Binbin Lin, Deng Cai, Wanli Ouyang:
NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection. CoRR abs/2402.14464 (2024) - [i106]Yang Yang, Wen Wang, Liang Peng, Chaotian Song, Yao Chen, Hengjia Li, Xiaolong Yang, Qinglin Lu, Deng Cai, Boxi Wu, Wei Liu:
LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models. CoRR abs/2403.11627 (2024) - [i105]Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang:
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. CoRR abs/2404.19330 (2024) - [i104]Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai:
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection. CoRR abs/2404.19384 (2024) - [i103]Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang:
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation. CoRR abs/2407.09751 (2024) - [i102]Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang:
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. CoRR abs/2407.09787 (2024) - [i101]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. CoRR abs/2409.01658 (2024) - [i100]Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye:
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? CoRR abs/2410.18808 (2024) - [i99]Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian:
FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models. CoRR abs/2411.05823 (2024) - [i98]Hengjia Li, Haonan Qiu, Shiwei Zhang, Xiang Wang, Yujie Wei, Zekun Li, Yingya Zhang, Boxi Wu, Deng Cai:
PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation. CoRR abs/2411.17048 (2024) - [i97]Hengjia Li, Yang Liu, Yibo Zhao, Haoran Cheng, Yang Yang, Linxuan Xia, Zekai Luo, Qibo Qiu, Boxi Wu, Tu Zheng, Zheng Yang, Deng Cai:
GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators. CoRR abs/2412.15491 (2024) - 2023
- [j103]Liang Xie, Yibo Yang, Deng Cai, Xiaofei He:
Neural collapse inspired attraction-repulsion-balanced loss for imbalanced learning. Neurocomputing 527: 60-70 (2023) - [j102]Chao Xiang, Zhongming Jin, Zhengxu Yu, Xian-Sheng Hua, Yao Hu, Wei Qian, Kaili Zhu, Deng Cai, Xiaofei He:
Optimizing traffic efficiency via a reinforcement learning approach based on time allocation. Int. J. Mach. Learn. Cybern. 14(10): 3381-3391 (2023) - [j101]Liang Xie, Guodong Xu, Deng Cai, Xiaofei He:
X-View: Non-Egocentric Multi-View 3D Object Detector. IEEE Trans. Image Process. 32: 1488-1497 (2023) - [j100]Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai:
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection. IEEE Trans. Image Process. 32: 6570-6581 (2023) - [j99]Xin Guo, Zhengxu Yu, Pengfei Wang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling. IEEE Trans. Knowl. Data Eng. 35(4): 4346-4356 (2023) - [c148]Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu:
Towards In-Distribution Compatible Out-of-Distribution Detection. AAAI 2023: 10333-10341 - [c147]Junkai Xu, Liang Peng, Haoran Chen, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai:
MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection. ICCV 2023: 6791-6801 - [c146]Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. ICCV 2023: 8940-8951 - [c145]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. MobiCom 2023: 70:1-70:15 - [i96]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Towards Unified Neural Network Inference by Table Lookup. CoRR abs/2302.03213 (2023) - [i95]Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He:
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment. CoRR abs/2302.09907 (2023) - [i94]Chenxi Huang, Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai:
Neural Collapse Inspired Federated Learning with Non-iid Data. CoRR abs/2303.16066 (2023) - [i93]Hengjia Li, Tu Zheng, Zhihao Chi, Zheng Yang, Wenxiao Wang, Boxi Wu, Binbin Lin, Deng Cai:
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding. CoRR abs/2303.17815 (2023) - [i92]Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang:
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning. CoRR abs/2304.08756 (2023) - [i91]Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai:
Learning Occupancy for Monocular 3D Object Detection. CoRR abs/2305.15694 (2023) - [i90]Zhihao Chi, Tu Zheng, Hengjia Li, Zheng Yang, Boxi Wu, Binbin Lin, Deng Cai:
NormKD: Normalized Logits for Knowledge Distillation. CoRR abs/2308.00520 (2023) - [i89]Yangyi Huang, Hongwei Yi, Yuliang Xiu, Tingting Liao, Jiaxiang Tang, Deng Cai, Justus Thies:
TeCH: Text-guided Reconstruction of Lifelike Clothed Humans. CoRR abs/2308.08545 (2023) - [i88]Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai:
MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection. CoRR abs/2308.09421 (2023) - [i87]Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai:
Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving. CoRR abs/2312.11837 (2023) - [i86]Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai:
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training. CoRR abs/2312.12828 (2023) - 2022
- [j98]Kuoliang Wu, Guodong Xu, Zili Liu, Haifeng Liu, Deng Cai, Xiaofei He:
PointCSE: Context-sensitive encoders for efficient 3D object detection from point cloud. Int. J. Mach. Learn. Cybern. 13(1): 39-47 (2022) - [j97]Cong Fu, Changxu Wang, Deng Cai:
High Dimensional Similarity Search With Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4139-4150 (2022) - [j96]Zhengxu Yu, Dong Shen, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua:
Progressive Transfer Learning. IEEE Trans. Image Process. 31: 1340-1348 (2022) - [j95]Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu:
Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training. IEEE Trans. Image Process. 31: 5869-5880 (2022) - [j94]Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng:
LookCom: Learning Optimal Network for Community Detection. IEEE Trans. Knowl. Data Eng. 34(2): 764-775 (2022) - [j93]Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua:
Apparel-Invariant Feature Learning for Person Re-Identification. IEEE Trans. Multim. 24: 4482-4492 (2022) - [c144]Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He:
DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. AAAI 2022: 1828-1836 - [c143]Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai:
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression. AAAI 2022: 3535-3543 - [c142]Tu Zheng, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, Xiaofei He:
CLRNet: Cross Layer Refinement Network for Lane Detection. CVPR 2022: 888-897 - [c141]Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai:
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CVPR 2022: 5408-5417 - [c140]Minghao Chen, Fangyun Wei, Chong Li, Deng Cai:
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning. CVPR 2022: 13791-13800 - [c139]Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He:
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification. CVPR 2022: 14391-14400 - [c138]Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai:
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. ECCV (1) 2022: 71-88 - [c137]Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai:
Lidar Point Cloud Guided Monocular 3D Object Detection. ECCV (1) 2022: 123-139 - [c136]Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu:
Towards Efficient Adversarial Training on Vision Transformers. ECCV (13) 2022: 307-325 - [c135]Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai:
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph. ECCV (8) 2022: 662-679 - [c134]Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu:
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention. ICLR 2022 - [c133]Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai:
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection. ICLR 2022 - [c132]Senbo Yan, Liang Peng, Chuer Yu, Zheng Yang, Haifeng Liu, Deng Cai:
Domain Reconstruction and Resampling for Robust Salient Object Detection. ACM Multimedia 2022: 5417-5426 - [i85]Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai:
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection. CoRR abs/2203.08332 (2022) - [i84]Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai:
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CoRR abs/2203.09780 (2022) - [i83]Tu Zheng, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, Xiaofei He:
CLRNet: Cross Layer Refinement Network for Lane Detection. CoRR abs/2203.10350 (2022) - [i82]Minghao Chen, Fangyun Wei, Chong Li, Deng Cai:
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning. CoRR abs/2203.14957 (2022) - [i81]Liang Xie, Yibo Yang, Deng Cai, Xiaofei He:
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning. CoRR abs/2204.08735 (2022) - [i80]Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai:
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. CoRR abs/2207.08531 (2022) - [i79]Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu:
Towards Efficient Adversarial Training on Vision Transformers. CoRR abs/2207.10498 (2022) - [i78]Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai:
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph. CoRR abs/2208.03624 (2022) - [i77]Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu:
Towards In-distribution Compatibility in Out-of-distribution Detection. CoRR abs/2208.13433 (2022) - [i76]Xiaopei Wu, Yang Zhao, Liang Peng, Hua Chen, Xiaoshui Huang, Binbin Lin, Haifeng Liu, Deng Cai, Wanli Ouyang:
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling. CoRR abs/2211.07084 (2022) - [i75]Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. CoRR abs/2212.02469 (2022) - [i74]Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai:
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection. CoRR abs/2212.10049 (2022) - 2021
- [j92]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang:
Learning to Caricature via Semantic Shape Transform. Int. J. Comput. Vis. 129(9): 2663-2679 (2021) - [j91]Liu Yang, Deng Cai:
AdaDB: An adaptive gradient method with data-dependent bound. Neurocomputing 419: 183-189 (2021) - [j90]Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
TTFNeXt for real-time object detection. Neurocomputing 433: 59-70 (2021) - [j89]Boyuan Pan, Yazheng Yang, Bo Li, Deng Cai:
Self-supervised attention flow for dialogue state tracking. Neurocomputing 440: 279-286 (2021) - [j88]Wenxiao Wang, Zhengxu Yu, Cong Fu, Deng Cai, Xiaofei He:
COP: customized correlation-based Filter level pruning method for deep CNN compression. Neurocomputing 464: 533-545 (2021) - [j87]Dong Shen, Shuai Zhao, Jinming Hu, Hao Feng, Deng Cai, Xiaofei He:
ES-Net: Erasing Salient Parts to Learn More in Re-Identification. IEEE Trans. Image Process. 30: 1676-1686 (2021) - [j86]Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai:
Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification. IEEE Trans. Image Process. 30: 2898-2907 (2021) - [j85]Deng Cai:
A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. 33(6): 2337-2348 (2021) - [c131]Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. AAAI 2021: 3547-3554 - [c130]Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin:
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM 2021: 4075-4084 - [c129]Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He:
Salient Object Ranking with Position-Preserved Attention. ICCV 2021: 16311-16321 - [c128]Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu:
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework. ICML 2021: 10717-10726 - [c127]Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun:
TopNet: Learning from Neural Topic Model to Generate Long Stories. KDD 2021: 1997-2005 - [c126]Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai:
MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning. KDD 2021: 3649-3659 - [c125]Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu:
Do Wider Neural Networks Really Help Adversarial Robustness? NeurIPS 2021: 7054-7067 - [i73]Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai:
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification. CoRR abs/2101.12521 (2021) - [i72]Dong Shen, Shuai Zhao, Jinming Hu, Hao Feng, Deng Cai, Xiaofei He:
ES-Net: Erasing Salient Parts to Learn More in Re-Identification. CoRR abs/2103.05918 (2021) - [i71]Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He:
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. CoRR abs/2103.08160 (2021) - [i70]Zili Liu, Guodong Xu, Honghui Yang, Haifeng Liu, Deng Cai:
SparsePoint: Fully End-to-End Sparse 3D Object Detector. CoRR abs/2103.10042 (2021) - [i69]Liang Xie, Guodong Xu, Deng Cai, Xiaofei He:
X-view: Non-egocentric Multi-View 3D Object Detector. CoRR abs/2103.13001 (2021) - [i68]Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai:
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression. CoRR abs/2104.00462 (2021) - [i67]Liang Peng, Fei Liu, Senbo Yan, Xiaofei He, Deng Cai:
OCM3D: Object-Centric Monocular 3D Object Detection. CoRR abs/2104.06041 (2021) - [i66]Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Deng Cai:
Lidar Point Cloud Guided Monocular 3D Object Detection. CoRR abs/2104.09035 (2021) - [i65]Xin Guo, Zhongming Jin, Chong Chen, Helei Nie, Jianqiang Huang, Deng Cai, Xiaofei He, Xiansheng Hua:
Discriminative-Generative Dual Memory Video Anomaly Detection. CoRR abs/2104.14430 (2021) - [i64]Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu:
Attacking Adversarial Attacks as A Defense. CoRR abs/2106.04938 (2021) - [i63]Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He:
Salient Object Ranking with Position-Preserved Attention. CoRR abs/2106.05047 (2021) - [i62]Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai:
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification. CoRR abs/2106.05517 (2021) - [i61]Wenxiao Wang, Lu Yao, Long Chen, Deng Cai, Xiaofei He, Wei Liu:
CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention. CoRR abs/2108.00154 (2021) - [i60]Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun:
TopNet: Learning from Neural Topic Model to Generate Long Stories. CoRR abs/2112.07259 (2021) - 2020
- [j84]Long Wei, Zhenyong Wei, Zhongming Jin, Qianxiao Wei, Jianqiang Huang, Xian-Sheng Hua, Deng Cai, Xiaofei He:
Decouple co-adaptation: Classifier randomization for person re-identification. Neurocomputing 383: 1-9 (2020) - [j83]Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai:
Bi-Decoder Augmented Network for Neural Machine Translation. Neurocomputing 387: 188-194 (2020) - [j82]Mao Gu, Zhou Zhao, Weike Jin, Deng Cai, Fei Wu:
Video Dialog via Multi-Grained Convolutional Self-Attention Context Multi-Modal Networks. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4453-4466 (2020) - [j81]Zhijie Lin, Zhou Zhao, Zhu Zhang, Zijian Zhang, Deng Cai:
Moment Retrieval via Cross-Modal Interaction Networks With Query Reconstruction. IEEE Trans. Image Process. 29: 3750-3762 (2020) - [j80]Long Wei, Zhenyong Wei, Zhongming Jin, Zhengxu Yu, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
SIF: Self-Inspirited Feature Learning for Person Re-Identification. IEEE Trans. Image Process. 29: 4942-4951 (2020) - [j79]Shuwen Xiao, Zhou Zhao, Zijian Zhang, Ziyu Guan, Deng Cai:
Query-Biased Self-Attentive Network for Query-Focused Video Summarization. IEEE Trans. Image Process. 29: 5889-5899 (2020) - [j78]Yu Zhu, Jinghao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai:
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning. IEEE Trans. Knowl. Data Eng. 32(4): 631-644 (2020) - [c124]Long Chen, Ziyu Guan, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai:
Question-Driven Purchasing Propensity Analysis for Recommendation. AAAI 2020: 35-42 - [c123]Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai:
Adversarial-Learned Loss for Domain Adaptation. AAAI 2020: 3521-3528 - [c122]Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
Training-Time-Friendly Network for Real-Time Object Detection. AAAI 2020: 11685-11692 - [c121]Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He:
PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module. AAAI 2020: 12460-12467 - [c120]Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li:
Adversarial Mutual Information for Text Generation. ICML 2020: 7476-7486 - [c119]Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification. IJCAI 2020: 2491-2497 - [c118]Haojie Pan, Rongqin Yang, Xin Zhou, Rui Wang, Deng Cai, Xiaozhong Liu:
Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment. SIGIR 2020: 2337-2346 - [i59]Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai:
Adversarial-Learned Loss for Domain Adaptation. CoRR abs/2001.01046 (2020) - [i58]Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai:
Bi-Decoder Augmented Network for Neural Machine Translation. CoRR abs/2001.04586 (2020) - [i57]Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai:
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds. CoRR abs/2004.00186 (2020) - [i56]Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li:
Adversarial Mutual Information for Text Generation. CoRR abs/2007.00067 (2020) - [i55]Zhengxu Yu, Pengfei Wang, Junkai Xu, Liang Xie, Zhongming Jin, Jianqiang Huang, Xiaofei He, Deng Cai, Xian-Sheng Hua:
Stable Learning via Causality-based Feature Rectification. CoRR abs/2007.15241 (2020) - [i54]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang:
Learning to Caricature via Semantic Shape Transform. CoRR abs/2008.05090 (2020) - [i53]Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification. CoRR abs/2008.06181 (2020) - [i52]Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. CoRR abs/2008.13719 (2020) - [i51]Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu:
Does Network Width Really Help Adversarial Robustness? CoRR abs/2010.01279 (2020) - [i50]Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu:
Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework. CoRR abs/2010.04879 (2020) - [i49]Jia Guo, Minghao Chen, Yao Hu, Chen Zhu, Xiaofei He, Deng Cai:
Spherical Knowledge Distillation. CoRR abs/2010.07485 (2020) - [i48]Liang Peng, Dan Deng, Deng Cai:
Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving. CoRR abs/2010.10700 (2020) - [i47]Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin:
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR abs/2011.09463 (2020) - [i46]Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu:
SplitNet: Divide and Co-training. CoRR abs/2011.14660 (2020) - [i45]Jia Guo, Chen Zhu, Yilun Zhao, Heda Wang, Yao Hu, Xiaofei He, Deng Cai:
LAMP: Label Augmented Multimodal Pretraining. CoRR abs/2012.04446 (2020)
2010 – 2019
- 2019
- [j77]Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. J. Mach. Learn. Res. 20: 121:1-121:39 (2019) - [j76]Cong Fu, Chao Xiang, Changxu Wang, Deng Cai:
Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph. Proc. VLDB Endow. 12(5): 461-474 (2019) - [j75]Zichen Yang, Haifeng Liu, Deng Cai:
On the Diversity of Conditional Image Synthesis With Semantic Layouts. IEEE Trans. Image Process. 28(6): 2898-2907 (2019) - [j74]Zhou Zhao, Zhu Zhang, Xinghua Jiang, Deng Cai:
Multi-Turn Video Question Answering via Hierarchical Attention Context Reinforced Networks. IEEE Trans. Image Process. 28(8): 3860-3872 (2019) - [j73]Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhenxin Xiao, Xiaohui Yan, Jun Yu, Deng Cai, Fei Wu:
Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks. IEEE Trans. Image Process. 28(12): 5939-5952 (2019) - [j72]Wenqing Chu, Hongyang Xue, Chengwei Yao, Deng Cai:
Sparse Coding Guided Spatiotemporal Feature Learning for Abnormal Event Detection in Large Videos. IEEE Trans. Multim. 21(1): 246-255 (2019) - [c117]Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun:
Reinforced Dynamic Reasoning for Conversational Question Generation. ACL (1) 2019: 2114-2124 - [c116]Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao:
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. CIKM 2019: 2509-2515 - [c115]Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai:
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. CIKM 2019: 2585-2593 - [c114]Minghao Chen, Hongyang Xue, Deng Cai:
Domain Adaptation for Semantic Segmentation With Maximum Squares Loss. ICCV 2019: 2090-2099 - [c113]Yang Liu, Jishun Guo, Deng Cai, Xiaofei He:
Attribute Attention for Semantic Disambiguation in Zero-Shot Learning. ICCV 2019: 6697-6706 - [c112]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang:
Weakly-Supervised Caricature Face Parsing Through Domain Adaptation. ICIP 2019: 3282-3286 - [c111]Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He:
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning. IJCAI 2019: 3785-3791 - [c110]Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Progressive Transfer Learning for Person Re-identification. IJCAI 2019: 4220-4226 - [c109]Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai:
Localizing Unseen Activities in Video via Image Query. IJCAI 2019: 4390-4396 - [c108]Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou:
A Minimax Game for Instance based Selective Transfer Learning. KDD 2019: 34-43 - [c107]Cong Fu, Yonghui Zhang, Deng Cai, Xiang Ren:
AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization. KDD 2019: 176-186 - [c106]Shuai Zhao, Yang Wang, Zheng Yang, Deng Cai:
Region Mutual Information Loss for Semantic Segmentation. NeurIPS 2019: 11115-11125 - [i44]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang:
Weakly-supervised Caricature Face Parsing through Domain Adaptation. CoRR abs/1905.05091 (2019) - [i43]Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He:
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning. CoRR abs/1906.10337 (2019) - [i42]Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai:
Localizing Unseen Activities in Video via Image Query. CoRR abs/1906.12165 (2019) - [i41]Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai:
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. CoRR abs/1907.01639 (2019) - [i40]Cong Fu, Changxu Wang, Deng Cai:
Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search. CoRR abs/1907.06146 (2019) - [i39]Boxi Wu, Shuai Zhao, Wenqing Chu, Zheng Yang, Deng Cai:
Improving Semantic Segmentation via Dilated Affinity. CoRR abs/1907.07011 (2019) - [i38]Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He:
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference. CoRR abs/1907.09692 (2019) - [i37]Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun:
Reinforced Dynamic Reasoning for Conversational Question Generation. CoRR abs/1907.12667 (2019) - [i36]Boyuan Pan, Yazheng Yang, Hao Li, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He:
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models. CoRR abs/1908.01816 (2019) - [i35]Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Progressive Transfer Learning for Person Re-identification. CoRR abs/1908.02492 (2019) - [i34]Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
Training-Time-Friendly Network for Real-Time Object Detection. CoRR abs/1909.00700 (2019) - [i33]Hongyang Xue, Wenqing Chu, Zhou Zhao, Deng Cai:
A Better Way to Attend: Attention with Trees for Video Question Answering. CoRR abs/1909.02218 (2019) - [i32]Minghao Chen, Hongyang Xue, Deng Cai:
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss. CoRR abs/1909.13589 (2019) - [i31]Shuai Zhao, Boxi Wu, Wenqing Chu, Yao Hu, Deng Cai:
Correlation Maximized Structural Similarity Loss for Semantic Segmentation. CoRR abs/1910.08711 (2019) - [i30]Shuai Zhao, Yang Wang, Zheng Yang, Deng Cai:
Region Mutual Information Loss for Semantic Segmentation. CoRR abs/1910.12037 (2019) - [i29]Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He:
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module. CoRR abs/1911.06084 (2019) - [i28]Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu:
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration. CoRR abs/1912.10178 (2019) - 2018
- [j71]Wenqing Chu, Deng Cai:
Deep feature based contextual model for object detection. Neurocomputing 275: 1035-1042 (2018) - [j70]Zheqian Chen, Chi Zhang, Zhou Zhao, Chengwei Yao, Deng Cai:
Question retrieval for community-based question answering via heterogeneous social influential network. Neurocomputing 285: 117-124 (2018) - [j69]Ge Wen, Huaguan Chen, Deng Cai, Xiaofei He:
Improving face recognition with domain adaptation. Neurocomputing 287: 45-51 (2018) - [j68]Junying Li, Zichen Yang, Haifeng Liu, Deng Cai:
Deep Rotation Equivariant Network. Neurocomputing 290: 26-33 (2018) - [j67]Kuoliang Wu, Deng Cai, Xiaofei He:
Multi-label active learning based on submodular functions. Neurocomputing 313: 436-442 (2018) - [j66]Ge Wen, Yi Mao, Deng Cai, Xiaofei He:
Split-Net: Improving face recognition in one forwarding operation. Neurocomputing 314: 94-100 (2018) - [j65]Wenqing Chu, Hongyang Xue, Zhou Zhao, Deng Cai, Chengwei Yao:
The forgettable-watcher model for video question answering. Neurocomputing 314: 386-393 (2018) - [j64]Wenqing Chu, Yao Liu, Chen Shen, Deng Cai, Xian-Sheng Hua:
Multi-Task Vehicle Detection With Region-of-Interest Voting. IEEE Trans. Image Process. 27(1): 432-441 (2018) - [j63]Hongyang Xue, Wenqing Chu, Zhou Zhao, Deng Cai:
A Better Way to Attend: Attention With Trees for Video Question Answering. IEEE Trans. Image Process. 27(11): 5563-5574 (2018) - [j62]Wei Zhao, Ziyu Guan, Long Chen, Xiaofei He, Deng Cai, Beidou Wang, Quan Wang:
Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 30(1): 185-197 (2018) - [j61]Weizhong Zhang, Tingjin Luo, Shuang Qiu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks. IEEE Trans. Knowl. Data Eng. 30(11): 2145-2156 (2018) - [j60]Zhou Zhao, Qifan Yang, Hanqing Lu, Tim Weninger, Deng Cai, Xiaofei He, Yueting Zhuang:
Social-Aware Movie Recommendation via Multimodal Network Learning. IEEE Trans. Multim. 20(2): 430-440 (2018) - [c105]Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai:
PixelLink: Detecting Scene Text via Instance Segmentation. AAAI 2018: 6773-6780 - [c104]Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He:
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference. ACL (1) 2018: 989-999 - [c103]Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai:
Device-Aware Rule Recommendation for the Internet of Things. CIKM 2018: 2037-2045 - [c102]Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang:
Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning. IJCAI 2018: 3184-3190 - [c101]Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang:
Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks. IJCAI 2018: 3683-3689 - [c100]Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He, Shiliang Pu:
Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network. IJCAI 2018: 3690-3696 - [c99]Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai:
A Brand-level Ranking System with the Customized Attention-GRU Model. IJCAI 2018: 3947-3953 - [c98]Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He:
Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism. IJCAI 2018: 4286-4292 - [c97]Boyuan Pan, Yazheng Yang, Hao Li, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He:
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models. NeurIPS 2018: 6095-6105 - [c96]Zheqian Chen, Rongqin Yang, Zhou Zhao, Deng Cai, Xiaofei He:
Dialogue Act Recognition via CRF-Attentive Structured Network. SIGIR 2018: 225-234 - [i27]Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai:
PixelLink: Detecting Scene Text via Instance Segmentation. CoRR abs/1801.01315 (2018) - [i26]Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai:
A Brand-level Ranking System with the Customized Attention-GRU Model. CoRR abs/1805.08958 (2018) - [i25]Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai:
Addressing the Item Cold-start Problem by Attribute-driven Active Learning. CoRR abs/1805.09023 (2018) - [i24]Zhou Zhao, Hanbing Zhan, Lingtao Meng, Jun Xiao, Jun Yu, Min Yang, Fei Wu, Deng Cai:
Textually Guided Ranking Network for Attentional Image Retweet Modeling. CoRR abs/1810.10226 (2018) - [i23]Haojie Pan, Junpei Zhou, Zhou Zhao, Yan Liu, Deng Cai, Min Yang:
Dial2Desc: End-to-end Dialogue Description Generation. CoRR abs/1811.00185 (2018) - 2017
- [j59]Chengwei Yao, Deng Cai, Jiajun Bu, Gencai Chen:
Pre-training the deep generative models with adaptive hyperparameter optimization. Neurocomputing 247: 144-155 (2017) - [j58]Shiguang Shan, Deng Cai, Cheng Deng, Hong Chang:
Special issue on selected and extended papers from the 2015 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2015). Neurocomputing 269: 1-2 (2017) - [j57]Weizhong Zhang, Lijun Zhang, Zhongming Jin, Rong Jin, Deng Cai, Xuelong Li, Ronghua Liang, Xiaofei He:
Sparse Learning with Stochastic Composite Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1223-1236 (2017) - [j56]Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li:
Constrained Low-Rank Learning Using Least Squares-Based Regularization. IEEE Trans. Cybern. 47(12): 4250-4262 (2017) - [j55]Hongyang Xue, Shengming Zhang, Deng Cai:
Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient Regularization. IEEE Trans. Image Process. 26(9): 4311-4320 (2017) - [j54]Hongyang Xue, Zhou Zhao, Deng Cai:
Unifying the Video and Question Attentions for Open-Ended Video Question Answering. IEEE Trans. Image Process. 26(12): 5656-5666 (2017) - [j53]Yunjun Gao, Xiaoye Miao, Gang Chen, Baihua Zheng, Deng Cai, Huiyong Cui:
On efficiently finding reverse k-nearest neighbors over uncertain graphs. VLDB J. 26(4): 467-492 (2017) - [c95]Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang:
Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning. AAAI 2017: 3532-3539 - [c94]Jingwen Zhao, Yunjun Gao, Gang Chen, Christian S. Jensen, Rui Chen, Deng Cai:
Reverse Top-k Geo-Social Keyword Queries in Road Networks. ICDE 2017: 387-398 - [c93]Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. ICML 2017: 4016-4025 - [c92]Wenqing Chu, Deng Cai:
Stacked Similarity-Aware Autoencoders. IJCAI 2017: 1561-1567 - [c91]Xin Guo, Boyuan Pan, Deng Cai, Xiaofei He:
Robust Asymmetric Bayesian Adaptive Matrix Factorization. IJCAI 2017: 1760-1766 - [c90]Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang:
Video Question Answering via Hierarchical Spatio-Temporal Attention Networks. IJCAI 2017: 3518-3524 - [c89]Zhou Zhao, Ben Gao, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang:
Link Prediction via Ranking Metric Dual-Level Attention Network Learning. IJCAI 2017: 3525-3531 - [c88]Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang:
Microblog Sentiment Classification via Recurrent Random Walk Network Learning. IJCAI 2017: 3532-3538 - [c87]Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai:
What to Do Next: Modeling User Behaviors by Time-LSTM. IJCAI 2017: 3602-3608 - [c86]Yao Liu, Jianqiang Huang, Chang Zhou, Deng Cai, Xian-Sheng Hua:
Spatiotemporal Multi-Task Network for Human Activity Understanding. ACM Multimedia (Thematic Workshops) 2017: 287-295 - [c85]Zhou Zhao, Jinghao Lin, Xinghua Jiang, Deng Cai, Xiaofei He, Yueting Zhuang:
Video Question Answering via Hierarchical Dual-Level Attention Network Learning. ACM Multimedia 2017: 1050-1058 - [c84]Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Haifeng Liu, Deng Cai:
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning. WWW 2017: 907-915 - [i22]Hongyang Xue, Zhou Zhao, Deng Cai:
The Forgettable-Watcher Model for Video Question Answering. CoRR abs/1705.01253 (2017) - [i21]Junying Li, Zichen Yang, Haifeng Liu, Deng Cai:
Deep Rotation Equivariant Network. CoRR abs/1705.08623 (2017) - [i20]Cong Fu, Changxu Wang, Deng Cai:
Fast Approximate Nearest Neighbor Search With Navigating Spreading-out Graphs. CoRR abs/1707.00143 (2017) - [i19]Boyuan Pan, Hao Li, Zhou Zhao, Bin Cao, Deng Cai, Xiaofei He:
MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension. CoRR abs/1707.09098 (2017) - [i18]Junying Li, Deng Cai, Xiaofei He:
Learning Graph-Level Representation for Drug Discovery. CoRR abs/1709.03741 (2017) - [i17]Zheqian Chen, Rongqin Yang, Bin Cao, Zhou Zhao, Deng Cai, Xiaofei He:
Smarnet: Teaching Machines to Read and Comprehend Like Human. CoRR abs/1710.02772 (2017) - [i16]Boyuan Pan, Hao Li, Zhou Zhao, Deng Cai, Xiaofei He:
Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation. CoRR abs/1711.00179 (2017) - [i15]Zheqian Chen, Rongqin Yang, Zhou Zhao, Deng Cai, Xiaofei He:
Dialogue Act Recognition via CRF-Attentive Structured Network. CoRR abs/1711.05568 (2017) - [i14]Deng Cai, Xiuye Gu, Chaoqi Wang:
A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval. CoRR abs/1711.06016 (2017) - [i13]Zichen Yang, Haifeng Liu, Deng Cai:
On the Diversity of Realistic Image Synthesis. CoRR abs/1712.07329 (2017) - 2016
- [j52]Wei Zhao, Zheng Liu, Ziyu Guan, Binbin Lin, Deng Cai:
Orthogonal Projective Sparse Coding for image representation. Neurocomputing 173: 270-277 (2016) - [j51]Zheng Yang, Haifeng Liu, Deng Cai, Zhaohui Wu:
A-Optimal Non-negative Projection with Hessian regularization. Neurocomputing 174: 838-849 (2016) - [j50]Bin Hong, Long Wei, Yao Hu, Deng Cai, Xiaofei He:
Online robust principal component analysis via truncated nuclear norm regularization. Neurocomputing 175: 216-222 (2016) - [j49]Hongyang Xue, Yao Liu, Deng Cai, Xiaofei He:
Tracking people in RGBD videos using deep learning and motion clues. Neurocomputing 204: 70-76 (2016) - [j48]Wenqing Chu, Yao Hu, Chen Zhao, Haifeng Liu, Deng Cai:
Atom Decomposition Based Subgradient Descent for matrix classification. Neurocomputing 205: 222-228 (2016) - [j47]Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He:
Heterogeneous hypergraph embedding for document recommendation. Neurocomputing 216: 150-162 (2016) - [j46]Zhou Zhao, Xiaofei He, Deng Cai, Lijun Zhang, Wilfred Ng, Yueting Zhuang:
Graph Regularized Feature Selection with Data Reconstruction. IEEE Trans. Knowl. Data Eng. 28(3): 689-700 (2016) - [j45]Jiajun Bu, Xin Shen, Bin Xu, Chun Chen, Xiaofei He, Deng Cai:
Improving Collaborative Recommendation via User-Item Subgroups. IEEE Trans. Knowl. Data Eng. 28(9): 2363-2375 (2016) - [j44]Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang:
User Preference Learning for Online Social Recommendation. IEEE Trans. Knowl. Data Eng. 28(9): 2522-2534 (2016) - [j43]Yao Hu, Chen Zhao, Deng Cai, Xiaofei He, Xuelong Li:
Atom Decomposition with Adaptive Basis Selection Strategy for Matrix Completion. ACM Trans. Multim. Comput. Commun. Appl. 12(3): 43:1-43:25 (2016) - [c83]Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He:
Accelerated Sparse Linear Regression via Random Projection. AAAI 2016: 2337-2343 - [c82]Wei Qian, Bin Hong, Deng Cai, Xiaofei He, Xuelong Li:
Non-Negative Matrix Factorization with Sinkhorn Distance. IJCAI 2016: 1960-1966 - [c81]Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang:
Expert Finding for Community-Based Question Answering via Ranking Metric Network Learning. IJCAI 2016: 3000-3006 - [c80]Ziyu Guan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan, Deng Cai:
Weakly-Supervised Deep Learning for Customer Review Sentiment Classification. IJCAI 2016: 3719-3725 - [c79]Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai:
The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation. KDD 2016: 1895-1904 - [c78]Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang:
Partial Multi-Modal Sparse Coding via Adaptive Similarity Structure Regularization. ACM Multimedia 2016: 152-156 - [c77]Fangqiu Han, Shulong Tan, Huan Sun, Mudhakar Srivatsa, Deng Cai, Xifeng Yan:
Distributed Representations of Expertise. SDM 2016: 531-539 - [c76]Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai:
Which to View: Personalized Prioritization for Broadcast Emails. WWW 2016: 1181-1190 - [i12]Hongyang Xue, Deng Cai:
Stereo Matching by Joint Energy Minimization. CoRR abs/1601.03890 (2016) - [i11]Wenqing Chu, Deng Cai:
Deep Feature Based Contextual Model for Object Detection. CoRR abs/1604.04048 (2016) - [i10]Hongyang Xue, Shengming Zhang, Deng Cai:
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization. CoRR abs/1604.05817 (2016) - [i9]Weizhong Zhang, Bin Hong, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction. CoRR abs/1607.06996 (2016) - [i8]Cong Fu, Deng Cai:
EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph. CoRR abs/1609.07228 (2016) - [i7]Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li:
Constrained Low-Rank Learning Using Least Squares-Based Regularization. CoRR abs/1611.04870 (2016) - [i6]Ping Li, Jiajun Bu, Chun Chen, Zhanying He, Deng Cai:
Relational Multi-Manifold Co-Clustering. CoRR abs/1611.05743 (2016) - [i5]Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Deng Cai:
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning. CoRR abs/1611.08096 (2016) - [i4]Zheqian Chen, Chi Zhang, Zhou Zhao, Deng Cai:
Question Retrieval for Community-based Question Answering via Heterogeneous Network Integration Learning. CoRR abs/1611.08135 (2016) - [i3]Deng Cai:
A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search. CoRR abs/1612.07545 (2016) - 2015
- [j42]Yao Hu, Zhongming Jin, Yi Shi, Debing Zhang, Deng Cai, Xiaofei He:
Large scale multi-class classification with truncated nuclear norm regularization. Neurocomputing 148: 310-317 (2015) - [j41]Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He:
Unsupervised document summarization from data reconstruction perspective. Neurocomputing 157: 356-366 (2015) - [j40]Zhanying He, Chun Chen, Jiajun Bu, Ping Li, Deng Cai:
Multi-view based multi-label propagation for image annotation. Neurocomputing 168: 853-860 (2015) - [j39]Peilin Yang, Hongning Wang, Hui Fang, Deng Cai:
Opinions matter: a general approach to user profile modeling for contextual suggestion. Inf. Retr. J. 18(6): 586-610 (2015) - [j38]Ping Li, Jiajun Bu, Bin Xu, Zhanying He, Chun Chen, Deng Cai:
Sparse fixed-rank representation for robust visual analysis. Signal Process. 110: 222-231 (2015) - [j37]Deng Cai, Xinlei Chen:
Large Scale Spectral Clustering Via Landmark-Based Sparse Representation. IEEE Trans. Cybern. 45(8): 1669-1680 (2015) - [j36]Jianke Zhu, Chenxia Wu, Chun Chen, Deng Cai:
Treelets Binary Feature Retrieval for Fast Keypoint Recognition. IEEE Trans. Cybern. 45(10): 2129-2141 (2015) - [j35]Bin Xu, Jiajun Bu, Chun Chen, Can Wang, Deng Cai, Xiaofei He:
EMR: A Scalable Graph-Based Ranking Model for Content-Based Image Retrieval. IEEE Trans. Knowl. Data Eng. 27(1): 102-114 (2015) - [c75]Xitong Liu, Hui Fang, Deng Cai:
Towards Less Biased Web Search. ICTIR 2015: 373-376 - [c74]Deng Cai:
Compressed Spectral Regression for Efficient Nonlinear Dimensionality Reduction. IJCAI 2015: 3359-3365 - [c73]Debing Zhang, Long Wei, Bin Hong, Yao Hu, Deng Cai, Xiaofei He:
Event Recovery by Faster Truncated Nuclear Norm Minimization. IScIDE (2) 2015: 171-180 - 2014
- [j34]Ping Li, Jiajun Bu, Yi Yang, Rongrong Ji, Chun Chen, Deng Cai:
Discriminative Orthogonal Nonnegative matrix factorization with flexibility for data representation. Expert Syst. Appl. 41(4): 1283-1293 (2014) - [j33]Cheng Li, Haifeng Liu, Deng Cai:
Active learning on manifolds. Neurocomputing 123: 398-405 (2014) - [j32]Shulong Tan, Jiajun Bu, Xuzhen Qin, Chun Chen, Deng Cai:
Cross domain recommendation based on multi-type media fusion. Neurocomputing 127: 124-134 (2014) - [j31]Xinlei Chen, Cheng Li, Haifeng Liu, Deng Cai:
Spatially correlated nonnegative matrix factorization. Neurocomputing 139: 15-21 (2014) - [j30]Ping Li, Jiajun Bu, Chun Chen, Deng Cai:
Manifold optimal experimental design via dependence maximization for active learning. Neurocomputing 142: 429-437 (2014) - [j29]Haifeng Liu, Genmao Yang, Zhaohui Wu, Deng Cai:
Constrained Concept Factorization for Image Representation. IEEE Trans. Cybern. 44(7): 1214-1224 (2014) - [j28]Zhongming Jin, Cheng Li, Yue Lin, Deng Cai:
Density Sensitive Hashing. IEEE Trans. Cybern. 44(8): 1362-1371 (2014) - [j27]Luming Zhang, Yue Gao, Chaoqun Hong, Yinfu Feng, Jianke Zhu, Deng Cai:
Feature Correlation Hypergraph: Exploiting High-order Potentials for Multimodal Recognition. IEEE Trans. Cybern. 44(8): 1408-1419 (2014) - [j26]Zhongming Jin, Debing Zhang, Yao Hu, Shiding Lin, Deng Cai, Xiaofei He:
Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion. IEEE Trans. Cybern. 44(11): 2167-2177 (2014) - [c72]Shulong Tan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen:
Mapping Users across Networks by Manifold Alignment on Hypergraph. AAAI 2014: 159-165 - [c71]Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai:
Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems. AAAI 2014: 173-179 - [c70]Weizhong Zhang, Lijun Zhang, Yao Hu, Rong Jin, Deng Cai, Xiaofei He:
Sparse Learning for Stochastic Composite Optimization. AAAI 2014: 893-900 - [c69]Yao Hu, Zhongming Jin, Hongyi Ren, Deng Cai, Xiaofei He:
Iterative Multi-View Hashing for Cross Media Indexing. ACM Multimedia 2014: 527-536 - 2013
- [j25]Ping Li, Jiajun Bu, Chun Chen, Can Wang, Deng Cai:
Subspace learning via Locally Constrained A-optimal nonnegative projection. Neurocomputing 115: 49-62 (2013) - [j24]Ping Li, Jiajun Bu, Deng Cai:
Multi-Manifold Concept Factorization for Data Clustering. Int. J. Softw. Informatics 7(3): 407-418 (2013) - [j23]Ping Li, Jiajun Bu, Chun Chen, Zhanying He, Deng Cai:
Relational Multimanifold Coclustering. IEEE Trans. Cybern. 43(6): 1871-1881 (2013) - [j22]Yan Chen, Jiemi Zhang, Deng Cai, Wei Liu, Xiaofei He:
Nonnegative Local Coordinate Factorization for Image Representation. IEEE Trans. Image Process. 22(3): 969-979 (2013) - [j21]Ming Ji, Binbin Lin, Xiaofei He, Deng Cai, Jiawei Han:
Parallel Field Ranking. ACM Trans. Knowl. Discov. Data 7(3): 15:1-15:21 (2013) - [j20]Ziyu Guan, Gengxin Miao, Russell McLoughlin, Xifeng Yan, Deng Cai:
Co-Occurrence-Based Diffusion for Expert Search on the Web. IEEE Trans. Knowl. Data Eng. 25(5): 1001-1014 (2013) - [j19]Chenxia Wu, Jianke Zhu, Deng Cai, Chun Chen, Jiajun Bu:
Semi-Supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning. IEEE Trans. Knowl. Data Eng. 25(6): 1380-1393 (2013) - [c68]Yue Lin, Rong Jin, Deng Cai, Shuicheng Yan, Xuelong Li:
Compressed Hashing. CVPR 2013: 446-451 - [c67]Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai, Xuelong Li:
Complementary Projection Hashing. ICCV 2013: 257-264 - [c66]Debing Zhang, Genmao Yang, Yao Hu, Zhongming Jin, Deng Cai, Xiaofei He:
A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing. IJCAI 2013: 681-688 - [c65]Yao Hu, Debing Zhang, Zhongming Jin, Deng Cai, Xiaofei He:
Active Learning Based on Local Representation. IJCAI 2013: 1415-1421 - [c64]Bin Xu, Jiajun Bu, Yue Lin, Chun Chen, Xiaofei He, Deng Cai:
Harmonious Hashing. IJCAI 2013: 1820-1826 - [c63]Jiemi Zhang, Chenxia Wu, Deng Cai, Jianke Zhu:
Bilevel Visual Words Coding for Image Classification. IJCAI 2013: 1883-1888 - [c62]Chuhang Zou, Yao Hu, Deng Cai, Xiaofei He:
Salient Object Detection via Fast Iterative Truncated Nuclear Norm Recovery. IScIDE 2013: 238-245 - [c61]Xiangbo Mao, Binbin Lin, Deng Cai, Xiaofei He, Jian Pei:
Parallel field alignment for cross media retrieval. ACM Multimedia 2013: 897-906 - [c60]Beidou Wang, Can Wang, Jiajun Bu, Chun Chen, Wei Vivian Zhang, Deng Cai, Xiaofei He:
Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems. WWW 2013: 1331-1340 - 2012
- [j18]Haifeng Liu, Zhaohui Wu, Xuelong Li, Deng Cai, Thomas S. Huang:
Constrained Nonnegative Matrix Factorization for Image Representation. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1299-1311 (2012) - [j17]Hao Wu, Jiajun Bu, Chun Chen, Jianke Zhu, Lijun Zhang, Haifeng Liu, Can Wang, Deng Cai:
Locally discriminative topic modeling. Pattern Recognit. 45(1): 617-625 (2012) - [j16]Deng Cai, Xiaofei He:
Manifold Adaptive Experimental Design for Text Categorization. IEEE Trans. Knowl. Data Eng. 24(4): 707-719 (2012) - [j15]Lijun Zhang, Chun Chen, Jiajun Bu, Zhengguang Chen, Deng Cai, Jiawei Han:
Locally Discriminative Coclustering. IEEE Trans. Knowl. Data Eng. 24(6): 1025-1035 (2012) - [c59]Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He:
Document Summarization Based on Data Reconstruction. AAAI 2012: 620-626 - [c58]Yue Lin, Rong Jin, Deng Cai, Xiaofei He:
Random Projection with Filtering for Nearly Duplicate Search. AAAI 2012: 641-647 - [c57]Bin Xu, Jiajun Bu, Chun Chen, Deng Cai:
A Bregman Divergence Optimization Framework for Ranking on Data Manifold and Its New Extensions. AAAI 2012: 1190-1196 - [c56]Guanhong Yao, Deng Cai:
Accelerating locality preserving nonnegative matrix factorization. CIKM 2012: 2271-2274 - [c55]Xinlei Chen, Zifei Tong, Haifeng Liu, Deng Cai:
Metric learning with two-dimensional smoothness for visual analysis. CVPR 2012: 2533-2538 - [c54]Chenxia Wu, Jianke Zhu, Jiemi Zhang, Chun Chen, Deng Cai:
A Convolutional Treelets Binary Feature Approach to Fast Keypoint Recognition. ECCV (5) 2012: 368-382 - [c53]Xinlei Chen, Cheng Li, Deng Cai:
Spatially Correlated Nonnegative Matrix Factorization for Image Analysis. IScIDE 2012: 148-157 - [c52]Ming Ji, Binbin Lin, Xiaofei He, Deng Cai, Jiawei Han:
Parallel field ranking. KDD 2012: 723-731 - [c51]Jiajun Bu, Bin Xu, Chenxia Wu, Chun Chen, Jianke Zhu, Deng Cai, Xiaofei He:
Unsupervised face-name association via commute distance. ACM Multimedia 2012: 219-228 - [c50]Jiemi Zhang, Chenxia Wu, Deng Cai:
Search web images using objects, backgrounds and conditions. ACM Multimedia 2012: 933-936 - [c49]Bin Xu, Jiajun Bu, Chun Chen, Deng Cai:
An exploration of improving collaborative recommender systems via user-item subgroups. WWW 2012: 21-30 - [i2]Yue Lin, Deng Cai, Cheng Li:
Density Sensitive Hashing. CoRR abs/1205.2930 (2012) - 2011
- [j14]Guanhong Yao, Wei Hua, Binbin Lin, Deng Cai:
Kernel approximately harmonic projection. Neurocomputing 74(17): 2861-2866 (2011) - [j13]Deng Cai, Xiaofei He, Jiawei Han, Thomas S. Huang:
Graph Regularized Nonnegative Matrix Factorization for Data Representation. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1548-1560 (2011) - [j12]Lijun Zhang, Chun Chen, Jiajun Bu, Deng Cai, Xiaofei He, Thomas S. Huang:
Active Learning Based on Locally Linear Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 33(10): 2026-2038 (2011) - [j11]Miao Zheng, Jiajun Bu, Chun Chen, Can Wang, Lijun Zhang, Guang Qiu, Deng Cai:
Graph Regularized Sparse Coding for Image Representation. IEEE Trans. Image Process. 20(5): 1327-1336 (2011) - [j10]Yuanlong Shao, Yuan Zhou, Deng Cai:
Variational inference with graph regularization for image annotation. ACM Trans. Intell. Syst. Technol. 2(2): 11:1-11:21 (2011) - [j9]Deng Cai, Xiaofei He, Jiawei Han:
Locally Consistent Concept Factorization for Document Clustering. IEEE Trans. Knowl. Data Eng. 23(6): 902-913 (2011) - [j8]Xiaofei He, Deng Cai, Yuanlong Shao, Hujun Bao, Jiawei Han:
Laplacian Regularized Gaussian Mixture Model for Data Clustering. IEEE Trans. Knowl. Data Eng. 23(9): 1406-1418 (2011) - [j7]Deng Cai, Xiaofei He, Jiawei Han:
Speed up kernel discriminant analysis. VLDB J. 20(1): 21-33 (2011) - [c48]Xinlei Chen, Deng Cai:
Large Scale Spectral Clustering with Landmark-Based Representation. AAAI 2011: 313-318 - [c47]Deng Cai, Hujun Bao, Xiaofei He:
Sparse concept coding for visual analysis. CVPR 2011: 2905-2910 - [c46]Bin Xu, Jiajun Bu, Chun Chen, Deng Cai, Xiaofei He, Wei Liu, Jiebo Luo:
Efficient manifold ranking for image retrieval. SIGIR 2011: 525-534 - 2010
- [c45]Jialu Liu, Deng Cai, Xiaofei He:
Gaussian Mixture Model with Local Consistency. AAAI 2010: 512-517 - [c44]Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu:
Laplacian Co-hashing of Terms and Documents. ECIR 2010: 577-580 - [c43]Zhou Yu, Deng Cai, Xiaofei He:
Error-correcting output hashing in fast similarity search. ICIMCS 2010: 7-10 - [c42]Deng Cai, Chiyuan Zhang, Xiaofei He:
Unsupervised feature selection for multi-cluster data. KDD 2010: 333-342 - [c41]Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu:
Self-taught hashing for fast similarity search. SIGIR 2010: 18-25 - [c40]Ziyu Guan, Can Wang, Jiajun Bu, Chun Chen, Kun Yang, Deng Cai, Xiaofei He:
Document recommendation in social tagging services. WWW 2010: 391-400 - [i1]Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu:
Self-Taught Hashing for Fast Similarity Search. CoRR abs/1004.5370 (2010)
2000 – 2009
- 2009
- [b1]Deng Cai:
Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning. University of Illinois Urbana-Champaign, USA, 2009 - [c39]Xiaofei He, Deng Cai:
Active subspace learning. ICCV 2009: 911-916 - [c38]Deng Cai, Xuanhui Wang, Xiaofei He:
Probabilistic dyadic data analysis with local and global consistency. ICML 2009: 105-112 - [c37]Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han:
Locality Preserving Nonnegative Matrix Factorization. IJCAI 2009: 1010-1015 - [c36]Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng Cai, Xiaofei He:
Convex experimental design using manifold structure for image retrieval. ACM Multimedia 2009: 45-54 - [c35]Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hujun Bao:
Semi-supervised topic modeling for image annotation. ACM Multimedia 2009: 521-524 - 2008
- [j6]Deng Cai, Xiaofei He, Jiawei Han:
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 20(1): 1-12 (2008) - [j5]Xiaofei He, Deng Cai, Jiawei Han:
Learning a Maximum Margin Subspace for Image Retrieval. IEEE Trans. Knowl. Data Eng. 20(2): 189-201 (2008) - [c34]Deng Cai, Xiaofei He, Jiawei Han:
Sparse Projections over Graph. AAAI 2008: 610-615 - [c33]Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai:
Modeling hidden topics on document manifold. CIKM 2008: 911-920 - [c32]Deng Cai, Xiaofei He, Jiawei Han:
Training Linear Discriminant Analysis in Linear Time. ICDE 2008: 209-217 - [c31]Deng Cai, Xiaofei He, Xiaoyun Wu, Jiawei Han:
Non-negative Matrix Factorization on Manifold. ICDM 2008: 63-72 - [c30]Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai:
Topic modeling with network regularization. WWW 2008: 101-110 - 2007
- [j4]Xiaofei He, Deng Cai, Ji-Rong Wen, Wei-Ying Ma, Hong-Jiang Zhang:
Clustering and searching WWW images using link and page layout analysis. ACM Trans. Multim. Comput. Commun. Appl. 3(2): 10 (2007) - [c29]Deng Cai, Xiaofei He, Jiawei Han:
Isometric Projection. AAAI 2007: 528-533 - [c28]Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han:
Regularized locality preserving indexing via spectral regression. CIKM 2007: 741-750 - [c27]Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thomas S. Huang:
Learning a Spatially Smooth Subspace for Face Recognition. CVPR 2007 - [c26]Deng Cai, Xiaofei He, Jiawei Han:
Spectral Regression for Efficient Regularized Subspace Learning. ICCV 2007: 1-8 - [c25]Deng Cai, Xiaofei He, Jiawei Han:
Semi-supervised Discriminant Analysis. ICCV 2007: 1-7 - [c24]Deng Cai, Xiaofei He, Jiawei Han:
Spectral Regression: A Unified Approach for Sparse Subspace Learning. ICDM 2007: 73-82 - [c23]Deng Cai, Xiaofei He, Jiawei Han:
Efficient Kernel Discriminant Analysis via Spectral Regression. ICDM 2007: 427-432 - [c22]Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao:
Locality Sensitive Discriminant Analysis. IJCAI 2007: 708-713 - [c21]Deng Cai, Xiaofei He, Jiawei Han:
Regularized regression on image manifold for retrieval. Multimedia Information Retrieval 2007: 11-20 - [c20]Deng Cai, Xiaofei He, Jiawei Han:
Spectral regression: a unified subspace learning framework for content-based image retrieval. ACM Multimedia 2007: 403-412 - [c19]Xiaofei He, Wanli Min, Deng Cai, Kun Zhou:
Laplacian optimal design for image retrieval. SIGIR 2007: 119-126 - 2006
- [j3]Ke Lu, Jidong Zhao, Deng Cai:
An algorithm for semi-supervised learning in image retrieval. Pattern Recognit. 39(4): 717-720 (2006) - [j2]Deng Cai, Xiaofei He, Jiawei Han, HongJiang Zhang:
Orthogonal Laplacianfaces for Face Recognition. IEEE Trans. Image Process. 15(11): 3608-3614 (2006) - [c18]Deng Cai, Xiaofei He, Jiawei Han:
Tensor space model for document analysis. SIGIR 2006: 625-626 - 2005
- [j1]Deng Cai, Xiaofei He, Jiawei Han:
Document Clustering Using Locality Preserving Indexing. IEEE Trans. Knowl. Data Eng. 17(12): 1624-1637 (2005) - [c17]Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zhang:
Neighborhood Preserving Embedding. ICCV 2005: 1208-1213 - [c16]Xiaofei He, Deng Cai, Wanli Min:
Statistical and computational analysis of locality preserving projection. ICML 2005: 281-288 - [c15]Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han:
Mining hidden community in heterogeneous social networks. LinkKDD 2005: 58-65 - [c14]Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han:
Image clustering with tensor representation. ACM Multimedia 2005: 132-140 - [c13]Xiaofei He, Deng Cai, Partha Niyogi:
Tensor Subspace Analysis. NIPS 2005: 499-506 - [c12]Xiaofei He, Deng Cai, Partha Niyogi:
Laplacian Score for Feature Selection. NIPS 2005: 507-514 - [c11]Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han:
Community Mining from Multi-relational Networks. PKDD 2005: 445-452 - [c10]Deng Cai, Xiaofei He:
Orthogonal locality preserving indexing. SIGIR 2005: 3-10 - 2004
- [c9]Deng Cai, Xiaofei He, Wei-Ying Ma, Ji-Rong Wen, HongJiang Zhang:
Organizing WWW images based on the analysis of page layout and Web link structure. ICME 2004: 113-116 - [c8]Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xueyin Lin:
Locality preserving clustering for image database. ACM Multimedia 2004: 885-891 - [c7]Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-Rong Wen:
Hierarchical clustering of WWW image search results using visual, textual and link information. ACM Multimedia 2004: 952-959 - [c6]Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma:
Locality preserving indexing for document representation. SIGIR 2004: 96-103 - [c5]Deng Cai, Xiaofei He, Ji-Rong Wen, Wei-Ying Ma:
Block-level link analysis. SIGIR 2004: 440-447 - [c4]Deng Cai, Shipeng Yu, Ji-Rong Wen, Wei-Ying Ma:
Block-based web search. SIGIR 2004: 456-463 - 2003
- [c3]Deng Cai, Shipeng Yu, Ji-Rong Wen, Wei-Ying Ma:
Extracting Content Structure for Web Pages Based on Visual Representation. APWeb 2003: 406-417 - [c2]Ji-Rong Wen, Ruihua Song, Deng Cai, Kaihua Zhu, Shipeng Yu, Shaozhi Ye, Wei-Ying Ma:
Microsoft Research Asia at the Web Track of TREC 2003. TREC 2003: 408-417 - [c1]Shipeng Yu, Deng Cai, Ji-Rong Wen, Wei-Ying Ma:
Improving pseudo-relevance feedback in web information retrieval using web page segmentation. WWW 2003: 11-18
Coauthor Index
[i108] [j103] [j102] [j101] [j99] [c148] [i95] [j98] [c144] [c142] [c139] [c136] [c135] [c134] [c133] [i85] [i83] [i81] [i79] [i78] [i77] [j88] [j87] [c129] [c128] [c125] [i72] [i71] [i69] [i67] [i65] [i64] [i63] [i61] [j84] [j80] [c121] [c119] [i55] [i53] [i51] [i49] [i45] [j77] [c113] [c111] [c110] [i43] [i38] [i36] [i35] [i29] [j69] [j67] [j66] [j62] [j61] [j60] [c104] [c102] [c100] [c98] [c97] [c96] [j57] [c95] [c93] [c91] [c90] [c89] [c88] [c85] [i19] [i18] [i17] [i16] [i15] [j50] [j49] [j47] [j46] [j45] [j44] [j43] [c83] [c82] [c81] [c78] [i9] [j42] [j41] [j35] [c73] [j26] [c70] [c69] [j22] [j21] [c66] [c65] [c64] [c62] [c61] [c60] [j16] [c59] [c58] [c52] [c51] [j13] [j12] [j9] [j8] [j7] [c47] [c46] [c45] [c43] [c42] [c40] [c39] [c38] [c37] [c36] [c35] [j6] [j5] [c34] [c32] [c31] [j4] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j2] [c18] [j1] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5]
[c158] [c157] [c152] [i103] [i102] [i86] [j98] [c141] [c138] [c137] [c132] [i84] [i80] [i76] [j90] [j86] [c131] [c128] [i73] [i70] [j78] [c123] [c122] [i59] [i57] [i52] [i50] [j75] [i34] [i28] [j68] [c105] [i27] [i25] [c87] [c84] [i21] [i13] [j51] [j48] [j47] [j33] [j31] [j29] [j18] [j17] [c55] [c14] [c6]
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