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ORCIDChangshui Zhang
Chang-shui Zhang
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- affiliation (PhD 1992): Tsinghua University, Beijing, China
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2020 – today
- 2023
[j155]Changming Xiao, Qi Yang, Xiaoqiang Xu, Jianwei Zhang, Feng Zhou, Changshui Zhang:
Where you edit is what you get: Text-guided image editing with region-based attention. Pattern Recognit. 139: 109458 (2023)- [j154]Jiang Lu
, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang:
A survey on machine learning from few samples. Pattern Recognit. 139: 109480 (2023) - [i65]Zhilong Liang, Zhenzhi Tan, Ruixin Hong, Wanli Ouyang, Jinying Yuan, Changshui Zhang:
Automatically Predict Material Properties with Microscopic Image Example Polymer Compatibility. CoRR abs/2303.12360 (2023) - [i64]Ruixin Hong, Hongming Zhang, Hong Zhao, Dong Yu, Changshui Zhang:
Faithful Question Answering with Monte-Carlo Planning. CoRR abs/2305.02556 (2023) - 2022
- [j153]Lei Li, Wenzheng Hu, Jiang Lu, Changshui Zhang:
Leaf vein segmentation with self-supervision. Comput. Electron. Agric. 203: 107352 (2022) - [j152]Jianwei Zhang, Stefan Wermter, Fuchun Sun, Changshui Zhang, Andreas K. Engel, Brigitte Röder, Xiaolan Fu, Gui Xue:
Editorial: Cross-Modal Learning: Adaptivity, Prediction and Interaction. Frontiers Neurorobotics 16: 889911 (2022) - [j151]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1002-1019 (2022) - [j150]Jiang Lu, Lei Li, Changshui Zhang:
Self-Reinforcing Unsupervised Matching. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4404-4418 (2022) - [j149]Yiwen Guo, Changshui Zhang:
Recent Advances in Large Margin Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7167-7174 (2022) - [j148]Xintong Yu, Hongming Zhang, Ruixin Hong, Yangqiu Song, Changshui Zhang:
VD-PCR: Improving visual dialog with pronoun coreference resolution. Pattern Recognit. 125: 108540 (2022) - [j147]Ruixin Hong, Hongming Zhang, Xintong Yu, Changshui Zhang:
Learning Event Extraction From a Few Guideline Examples. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2955-2967 (2022) - [j146]Yiwen Sun, Kun Fu, Zheng Wang, Donghua Zhou, Kailun Wu, Jieping Ye, Changshui Zhang:
CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task. IEEE Trans. Intell. Transp. Syst. 23(5): 4037-4048 (2022) - [j145]Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang:
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Trans. Intell. Transp. Syst. 23(12): 23231-23243 (2022) - [c246]Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
GreedyNASv2: Greedier Search with a Greedy Path Filter. CVPR 2022: 11892-11901 - [c245]Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiao-Gang Wang, Chang Xu:
ViTAS: Vision Transformer Architecture Search. ECCV (21) 2022: 139-157 - [c244]Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, Dong Yu:
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. EMNLP 2022: 4698-4724 - [c243]Yulu Wang, Yiwen Sun, Lei Fang, Changshui Zhang:
Leveraging Sparse Coding for EEG Based Emotion Recognition in Shooting. ICASSP 2022: 1421-1425 - [c242]Hongyan Xu, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya:
Data Agnostic Filter Gating For Efficient Deep Networks. ICASSP 2022: 3503-3507 - [c241]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Collaboration Equilibrium in Federated Learning. KDD 2022: 241-251 - [c240]Abudukelimu Wuerkaixi, You Zhang, Zhiyao Duan, Changshui Zhang:
Rethinking Audio-Visual Synchronization for Active Speaker Detection. MLSP 2022: 1-6 - [c239]Abudukelimu Wuerkaixi, Kunda Yan, You Zhang, Zhiyao Duan, Changshui Zhang:
DyViSE: Dynamic Vision-Guided Speaker Embedding for Audio-Visual Speaker Diarization. MMSP 2022: 1-6 - [c238]Ruixin Hong, Hongming Zhang, Xintong Yu, Changshui Zhang:
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation. NAACL-HLT (Findings) 2022: 1887-1905 - [c237]Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang:
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. NeurIPS 2022 - [i63]Zhilong Liang, Zhiwei Li, Shuo Zhou, Yiwen Sun, Changshui Zhang, Jinying Yuan:
A Machine Learning Method for Material Property Prediction: Example Polymer Compatibility. CoRR abs/2202.13554 (2022) - [i62]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Relational Self-Supervised Learning. CoRR abs/2203.08717 (2022) - [i61]Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Searching for Network Width with Bilaterally Coupled Network. CoRR abs/2203.13714 (2022) - [i60]Ruixin Hong, Hongming Zhang, Xintong Yu, Changshui Zhang:
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation. CoRR abs/2205.02593 (2022) - [i59]Xintong Yu, Hongming Zhang, Ruixin Hong, Yangqiu Song, Changshui Zhang:
VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution. CoRR abs/2205.14693 (2022) - [i58]Peng Dai, Yiqiang Feng, Renliang Weng, Changshui Zhang:
Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object Tracking. CoRR abs/2205.15495 (2022) - [i57]Abudukelimu Wuerkaixi, You Zhang, Zhiyao Duan, Changshui Zhang:
Rethinking Audio-visual Synchronization for Active Speaker Detection. CoRR abs/2206.10421 (2022) - [i56]Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, Dong Yu:
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. CoRR abs/2210.12487 (2022) - 2021
- [j144]Jie Zhang, Yunxu Shi, Chienkai Wang, Chunmei Cao, Changshui Zhang, Linhong Ji, Jia Cheng, Fangfang Wu:
Preshooting Electroencephalographic Activity of Professional Shooters in a Competitive State. Comput. Intell. Neurosci. 2021: 6639865:1-6639865:9 (2021) - [j143]Ziang Yan, Yiwen Guo, Changshui Zhang:
Adversarial Margin Maximization Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1129-1139 (2021) - [j142]Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang:
On Connections Between Regularizations for Improving DNN Robustness. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4469-4476 (2021) - [j141]Zhong Cao, Sen Cui, Changshui Zhang:
DCR: Disentangled component representation for sketch generation. Pattern Recognit. Lett. 145: 16-22 (2021) - [j140]Wenzheng Hu, Mingyang Li, Zheng Wang, Jianqiang Wang, Changshui Zhang:
DiFNet: Densely High-Frequency Convolutional Neural Networks. IEEE Signal Process. Lett. 28: 1340-1344 (2021) - [j139]Yiwen Guo, Ming Lu, Wangmeng Zuo, Changshui Zhang, Yurong Chen:
Deep Likelihood Network for Image Restoration With Multiple Degradation Levels. IEEE Trans. Image Process. 30: 2669-2681 (2021) - [j138]Jiang Lu, Sheng Jin, Jian Liang, Changshui Zhang:
Robust Few-Shot Learning for User-Provided Data. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1433-1447 (2021) - [c236]Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
BCNet: Searching for Network Width With Bilaterally Coupled Network. CVPR 2021: 2175-2184 - [c235]Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding:
Learning a Proposal Classifier for Multiple Object Tracking. CVPR 2021: 2443-2452 - [c234]Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Prioritized Architecture Sampling With Monto-Carlo Tree Search. CVPR 2021: 10968-10977 - [c233]Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu, Dong Yu:
Exophoric Pronoun Resolution in Dialogues with Topic Regularization. EMNLP (1) 2021: 3832-3845 - [c232]Yanpin Ren, Changshui Zhang:
A Trans-regional Online and Offline Fusion Lab Teaching Practice Through Cross-university Cooperation. FIE 2021: 1-5 - [c231]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Ziang Yan, Changshui Zhang, Jieping Ye:
FMA-ETA: Estimating Travel Time Entirely Based on FFN with Attention. ICASSP 2021: 3355-3359 - [c230]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. ICCV 2021: 10022-10031 - [c229]Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang:
Learning with Privileged Tasks. ICCV 2021: 10665-10674 - [c228]Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Locally Free Weight Sharing for Network Width Search. ICLR 2021 - [c227]Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang:
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. ICLR 2021 - [c226]Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. ICML 2021: 9880-9890 - [c225]Abudukelimu Wuerkaixi, Christodoulos Benetatos, Zhiyao Duan, Changshui Zhang:
CollageNet: Fusing arbitrary melody and accompaniment into a coherent song. ISMIR 2021: 786-793 - [c224]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. KDD 2021: 207-217 - [c223]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD 2021: 1287-1297 - [c222]Shan You, Chang Xu, Fei Wang, Changshui Zhang:
Workshop on Model Mining. KDD 2021: 4177-4178 - [c221]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
ReSSL: Relational Self-Supervised Learning with Weak Augmentation. NeurIPS 2021: 2543-2555 - [c220]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS 2021: 26091-26102 - [e7]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 13019, Springer 2021, ISBN 978-3-030-88003-3 [contents] - [e6]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 13020, Springer 2021, ISBN 978-3-030-88006-4 [contents] - [e5]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science 13021, Springer 2021, ISBN 978-3-030-88009-5 [contents] - [e4]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 13022, Springer 2021, ISBN 978-3-030-88012-5 [contents] - [i55]Haipeng Zhang, Zhong Cao, Ziang Yan, Changshui Zhang:
Sill-Net: Feature Augmentation with Separated Illumination Representation. CoRR abs/2102.03539 (2021) - [i54]Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Locally Free Weight Sharing for Network Width Search. CoRR abs/2102.05258 (2021) - [i53]Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding:
Learning a Proposal Classifier for Multiple Object Tracking. CoRR abs/2103.07889 (2021) - [i52]Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Prioritized Architecture Sampling with Monto-Carlo Tree Search. CoRR abs/2103.11922 (2021) - [i51]Yiwen Guo, Changshui Zhang:
Recent Advances in Large Margin Learning. CoRR abs/2103.13598 (2021) - [i50]Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
BCNet: Searching for Network Width with Bilaterally Coupled Network. CoRR abs/2105.10533 (2021) - [i49]Weishen Pan, Changshui Zhang:
The Definitions of Interpretability and Learning of Interpretable Models. CoRR abs/2105.14171 (2021) - [i48]Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. CoRR abs/2106.06442 (2021) - [i47]Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Vision Transformer Architecture Search. CoRR abs/2106.13700 (2021) - [i46]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
ReSSL: Relational Self-Supervised Learning with Weak Augmentation. CoRR abs/2107.09282 (2021) - [i45]Song Tang, Yan Yang, Zhiyuan Ma, Norman Hendrich, Fanyu Zeng, Shuzhi Sam Ge, Changshui Zhang, Jianwei Zhang:
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation. CoRR abs/2107.12585 (2021) - [i44]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR abs/2108.05335 (2021) - [i43]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Learning to Collaborate. CoRR abs/2108.07926 (2021) - [i42]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Fair and Consistent Federated Learning. CoRR abs/2108.08435 (2021) - [i41]Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu, Dong Yu:
Exophoric Pronoun Resolution in Dialogues with Topic Regularization. CoRR abs/2109.04787 (2021) - [i40]Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang:
Correcting the User Feedback-Loop Bias for Recommendation Systems. CoRR abs/2109.06037 (2021) - [i39]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. CoRR abs/2110.04770 (2021) - [i38]Wenzheng Hu, Ning Liu, Zhengping Che, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang:
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. CoRR abs/2110.10921 (2021) - [i37]Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
GreedyNASv2: Greedier Search with a Greedy Path Filter. CoRR abs/2111.12609 (2021) - [i36]Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang:
Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding. CoRR abs/2112.10985 (2021) - [i35]Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang:
A Theoretical View of Linear Backpropagation and Its Convergence. CoRR abs/2112.11018 (2021) - 2020
- [j137]Jinpeng Mi, Hongzhuo Liang, Nikolaos Katsakis, Song Tang, Qingdu Li, Changshui Zhang, Jianwei Zhang:
Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction. Frontiers Neurorobotics 14: 26 (2020) - [j136]Zhong Cao, Jiang Lu, Sen Cui, Changshui Zhang:
Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding. Pattern Recognit. 107: 107488 (2020) - [j135]Runpeng Cui, Zhong Cao, Weishen Pan, Changshui Zhang, Jianqiang Wang:
Deep Gesture Video Generation With Learning on Regions of Interest. IEEE Trans. Multim. 22(10): 2551-2563 (2020) - [j134]Wenzheng Hu, Junqi Jin, Tie-Yan Liu, Changshui Zhang:
Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3215-3229 (2020) - [j133]Kailun Wu, Yiwen Guo, Changshui Zhang:
Compressing Deep Neural Networks With Sparse Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3828-3838 (2020) - [c219]Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang:
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. AAAI 2020: 710-718 - [c218]Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang:
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. AAAI 2020: 5972-5980 - [c217]Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang:
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet. CVPR 2020: 1996-2005 - [c216]Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-Sheng Hua:
Boosting Semantic Human Matting With Coarse Annotations. CVPR 2020: 8560-8569 - [c215]Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang:
Few Sample Knowledge Distillation for Efficient Network Compression. CVPR 2020: 14627-14635 - [c214]Yanpin Ren, Qing Zhuo, Yi Yang, Changshui Zhang:
An Overview of Signal Processing Engineering Education in China. FIE 2020: 1-8 - [c213]Yulu Wang, Kailun Wu, Changshui Zhang:
Adversarial Attacks on Deep Unfolded Networks for Sparse Coding. ICASSP 2020: 5974-5978 - [c212]Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang:
Sparse Coding with Gated Learned ISTA. ICLR 2020 - [c211]Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao:
Semismooth Newton Algorithm for Efficient Projections onto ℓ1, ∞-norm Ball. ICML 2020: 1974-1983 - [c210]Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Road Network Metric Learning for Estimated Time of Arrival. ICPR 2020: 1820-1827 - [c209]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting. ICPR 2020: 3483-3490 - [c208]Wenzheng Hu, Mingyang Li, Changhe Yuan, Changshui Zhang, Jianqiang Wang:
Diversity in Neural Architecture Search. IJCNN 2020: 1-8 - [c207]Shangchen Du, Shan You, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, Changshui Zhang:
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space. NeurIPS 2020 - [c206]Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang:
When Counterpoint Meets Chinese Folk Melodies. NeurIPS 2020 - [i34]Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang:
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. CoRR abs/2002.03082 (2020) - [i33]Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang:
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet. CoRR abs/2003.11236 (2020) - [i32]Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-Sheng Hua:
Boosting Semantic Human Matting with Coarse Annotations. CoRR abs/2004.04955 (2020) - [i31]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting. CoRR abs/2004.10958 (2020) - [i30]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Fusion Recurrent Neural Network. CoRR abs/2006.04069 (2020) - [i29]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Ziang Yan, Changshui Zhang, Jieping Ye:
FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention. CoRR abs/2006.04077 (2020) - [i28]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility. CoRR abs/2006.08267 (2020) - [i27]Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Road Network Metric Learning for Estimated Time of Arrival. CoRR abs/2006.13477 (2020) - [i26]Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang:
On Connections between Regularizations for Improving DNN Robustness. CoRR abs/2007.02209 (2020) - [i25]Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang:
Learning from Very Few Samples: A Survey. CoRR abs/2009.02653 (2020) - [i24]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust Finite Mixture Regression for Heterogeneous Targets. CoRR abs/2010.05430 (2020) - [i23]Yuhai Song, Zhong Cao, Kailun Wu, Ziang Yan, Changshui Zhang:
Learning Fast Approximations of Sparse Nonlinear Regression. CoRR abs/2010.13490 (2020) - [i22]Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Data Agnostic Filter Gating for Efficient Deep Networks. CoRR abs/2010.15041 (2020) - [i21]Mingjie Sun, Jianguo Li, Changshui Zhang:
Extreme Value Preserving Networks. CoRR abs/2011.08367 (2020) - [i20]Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang:
Explicitly Learning Topology for Differentiable Neural Architecture Search. CoRR abs/2011.09300 (2020)
2010 – 2019
- 2019