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2020 – today
- 2021
[j25]Soraia Raupp Musse, Roberto M. Cesar Jr., Nuria Pelechano
, Zhangyang (Atlas) Wang:
Foreword to the special section on SIBGRAPI-Conference on Graphics, Patterns and Images is an international conference 2020. Comput. Graph. 94: 5- (2021)- [j24]Siyuan Li, Wenqi Ren, Feng Wang, Iago Breno Araujo, Eric K. Tokuda, Roberto Hirata Junior, Roberto M. Cesar Jr., Zhangyang Wang, Xiaochun Cao:
A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives. Int. J. Comput. Vis. 129(4): 1301-1322 (2021) - [j23]Jiebin Yan, Yu Zhong, Yuming Fang, Zhangyang Wang, Kede Ma:
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition. Int. J. Comput. Vis. 129(5): 1768-1786 (2021) - [j22]Mostafa Karimi, Di Wu, Zhangyang Wang, Yang Shen:
Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts. J. Chem. Inf. Model. 61(1): 46-66 (2021) - [j21]Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qifeng Lin, Qing Ling:
Deep Adversarial Data Augmentation for Extremely Low Data Regimes. IEEE Trans. Circuits Syst. Video Technol. 31(1): 15-28 (2021) - [j20]Andong Ma, Anthony M. Filippi, Zhangyang Wang, Zhengcong Yin, Da Huo, Xiao Li, Burak Güneralp:
Fast Sequential Feature Extraction for Recurrent Neural Network-Based Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(7): 5920-5937 (2021) - [j19]Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang:
EnlightenGAN: Deep Light Enhancement Without Paired Supervision. IEEE Trans. Image Process. 30: 2340-2349 (2021) - [c125]Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Learning Model-Based Privacy Protection under Budget Constraints. AAAI 2021: 7702-7710 - [c124]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. ACL/IJCNLP (1) 2021: 2195-2207 - [c123]Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan:
The 2020 Low-Power Computer Vision Challenge. AICAS 2021: 1-4 - [c122]Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi:
Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. BHI 2021: 1-4 - [c121]Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi:
DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. BHI 2021: 1-4 - [c120]Peibei Cao, Zhangyang Wang, Kede Ma:
Debiased Subjective Assessment of Real-World Image Enhancement. CVPR 2021: 711-721 - [c119]Antonio A. Abello, Roberto Hirata, Zhangyang Wang:
Dissecting the High-Frequency Bias in Convolutional Neural Networks. CVPR Workshops 2021: 863-871 - [c118]Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu:
E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. CVPR Workshops 2021: 905-913 - [c117]Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang:
"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization. CVPR Workshops 2021: 4619-4629 - [c116]Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
Troubleshooting Blind Image Quality Models in the Wild. CVPR 2021: 16256-16265 - [c115]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang:
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models. CVPR 2021: 16306-16316 - [c114]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. ICASSP 2021: 4900-4904 - [c113]Wuyang Chen, Xinyu Gong, Zhangyang Wang:
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective. ICLR 2021 - [c112]Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar:
Contrastive Syn-to-Real Generalization. ICLR 2021 - [c111]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang:
Robust Overfitting may be mitigated by properly learned smoothening. ICLR 2021 - [c110]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang:
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning. ICLR 2021 - [c109]Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang:
Undistillable: Making A Nasty Teacher That CANNOT teach students. ICLR 2021 - [c108]Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang:
A Design Space Study for LISTA and Beyond. ICLR 2021 - [c107]Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang:
Learning A Minimax Optimizer: A Pilot Study. ICLR 2021 - [c106]Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu:
UMEC: Unified model and embedding compression for efficient recommendation systems. ICLR 2021 - [c105]Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang:
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. ICML 2021: 1695-1706 - [c104]Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang:
Self-Damaging Contrastive Learning. ICML 2021: 4927-4939 - [c103]Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang:
Graph Contrastive Learning Automated. ICML 2021: 12121-12132 - [c102]Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang:
Efficient Lottery Ticket Finding: Less Data is More. ICML 2021: 12380-12390 - [c101]Mingkang Zhu, Tianlong Chen, Zhangyang Wang:
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. ICML 2021: 12868-12877 - [c100]Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou:
Federated Adversarial Debiasing for Fair and Transferable Representations. KDD 2021: 617-627 - [i141]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. CoRR abs/2101.00063 (2021) - [i140]Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. CoRR abs/2101.01163 (2021) - [i139]Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang:
Good Students Play Big Lottery Better. CoRR abs/2101.03255 (2021) - [i138]Junyuan Hong, Zhangyang Wang, Jiayu Zhou:
On Dynamic Noise Influence in Differentially Private Learning. CoRR abs/2101.07413 (2021) - [i137]Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang:
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. CoRR abs/2102.06790 (2021) - [i136]Yifan Jiang, Shiyu Chang, Zhangyang Wang:
TransGAN: Two Transformers Can Make One Strong GAN. CoRR abs/2102.07074 (2021) - [i135]Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan:
Weak NAS Predictors Are All You Need. CoRR abs/2102.10490 (2021) - [i134]Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang:
Sandwich Batch Normalization. CoRR abs/2102.11382 (2021) - [i133]Wuyang Chen, Xinyu Gong, Zhangyang Wang:
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective. CoRR abs/2102.11535 (2021) - [i132]Jiebin Yan, Yu Zhong, Yuming Fang, Zhangyang Wang, Kede Ma:
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition. CoRR abs/2103.00259 (2021) - [i131]Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang:
Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly. CoRR abs/2103.00397 (2021) - [i130]Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu:
Adversarial Feature Augmentation and Normalization for Visual Recognition. CoRR abs/2103.12171 (2021) - [i129]Xingqian Xu, Zhangyang Wang, Humphrey Shi:
UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution. CoRR abs/2103.12716 (2021) - [i128]Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin:
Learning to Optimize: A Primer and A Benchmark. CoRR abs/2103.12828 (2021) - [i127]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. CoRR abs/2103.16547 (2021) - [i126]Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar:
Contrastive Syn-to-Real Generalization. CoRR abs/2104.02290 (2021) - [i125]Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg:
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data. CoRR abs/2104.02932 (2021) - [i124]Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang:
A Design Space Study for LISTA and Beyond. CoRR abs/2104.04110 (2021) - [i123]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang:
Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. CoRR abs/2104.04968 (2021) - [i122]Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang:
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization. CoRR abs/2104.08215 (2021) - [i121]Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin:
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. CoRR abs/2104.10853 (2021) - [i120]Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj:
Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. CoRR abs/2104.11101 (2021) - [i119]Aaditya Singh, Shreeshail Hingane, Xinyu Gong, Zhangyang Wang:
SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization. CoRR abs/2105.06129 (2021) - [i118]Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
Troubleshooting Blind Image Quality Models in the Wild. CoRR abs/2105.06747 (2021) - [i117]Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang:
Undistillable: Making A Nasty Teacher That CANNOT teach students. CoRR abs/2105.07381 (2021) - [i116]Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang:
Self-Damaging Contrastive Learning. CoRR abs/2106.02990 (2021) - [i115]Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang:
Efficient Lottery Ticket Finding: Less Data is More. CoRR abs/2106.03225 (2021) - [i114]Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang:
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. CoRR abs/2106.04533 (2021) - [i113]Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa:
Practical Machine Learning Safety: A Survey and Primer. CoRR abs/2106.04823 (2021) - [i112]Mingkang Zhu, Tianlong Chen, Zhangyang Wang:
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. CoRR abs/2106.06027 (2021) - [i111]Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang:
Graph Contrastive Learning Automated. CoRR abs/2106.07594 (2021) - [i110]Peibei Cao, Zhangyang Wang, Kede Ma:
Debiased Subjective Assessment of Real-World Image Enhancement. CoRR abs/2106.10080 (2021) - [i109]Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning. CoRR abs/2106.10196 (2021) - [i108]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. CoRR abs/2106.10404 (2021) - [i107]Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva:
IA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers. CoRR abs/2106.12620 (2021) - [i106]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks. CoRR abs/2106.13358 (2021) - [i105]Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR abs/2106.14568 (2021) - [i104]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR abs/2107.00166 (2021) - [i103]Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. CoRR abs/2107.07706 (2021) - [i102]Zhenyu Wu, Zhaowen Wang, Ye Yuan, Jianming Zhang, Zhangyang Wang, Hailin Jin:
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study. CoRR abs/2107.12202 (2021) - [i101]Zeyuan Chen, Yifan Jiang, Dong Liu, Zhangyang Wang:
CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise. CoRR abs/2108.00478 (2021) - [i100]Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang:
SSH: A Self-Supervised Framework for Image Harmonization. CoRR abs/2108.06805 (2021) - [i99]Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang:
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. CoRR abs/2108.10521 (2021) - [i98]Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang:
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics. CoRR abs/2108.11939 (2021) - [i97]Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan:
Searching for Two-Stream Models in Multivariate Space for Video Recognition. CoRR abs/2108.12957 (2021) - [i96]Ye Yuan, Wuyang Chen, Zhaowen Wang, Matthew Fisher, Zhifei Zhang, Zhangyang Wang, Hailin Jin:
Font Completion and Manipulation by Cycling Between Multi-Modality Representations. CoRR abs/2108.12965 (2021) - 2020
- [j18]Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin:
Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference. IEEE J. Sel. Top. Signal Process. 14(4): 623-633 (2020) - [j17]Hongyu Xu, Zhangyang Wang, Haichuan Yang, Ding Liu, Ji Liu:
Learning Simple Thresholded Features With Sparse Support Recovery. IEEE Trans. Circuits Syst. Video Technol. 30(4): 983-997 (2020) - [j16]Dong Liu, Ke Sun, Zhangyang Wang, Runsheng Liu, Zheng-Jun Zha:
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3068-3080 (2020) - [j15]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. IEEE Trans. Image Process. 29: 3695-3706 (2020) - [j14]Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin:
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. 29: 5737-5752 (2020) - [c99]Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang:
Practical Solutions for Machine Learning Safety in Autonomous Vehicles. SafeAI@AAAI 2020: 162-169 - [c98]Sina Mohseni, Mandar Pitale, J. B. S. Yadawa, Zhangyang Wang:
Self-Supervised Learning for Generalizable Out-of-Distribution Detection. AAAI 2020: 5216-5223 - [c97]Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. AAAI 2020: 5700-5708 - [c96]Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. AISTATS 2020: 3894-3904 - [c95]Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker:
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. CVPR 2020: 110-118 - [c94]Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang:
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CVPR 2020: 696-705 - [c93]Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang:
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation. CVPR Workshops 2020: 1454-1463 - [c92]Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. CVPR 2020: 2124-2132 - [c91]Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang:
Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification. CVPR Workshops 2020: 3791-3798 - [c90]Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang:
GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. ECCV (4) 2020: 54-73 - [c89]Jake Lee, Junfeng Yang, Zhangyang Wang:
What Does CNN Shift Invariance Look Like? A Visualization Study. ECCV Workshops (5) 2020: 196-210 - [c88]Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin:
HALO: Hardware-Aware Learning to Optimize. ECCV (9) 2020: 500-518 - [c87]Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo:
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches. ECCV (15) 2020: 601-617 - [c86]Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang:
FasterSeg: Searching for Faster Real-time Semantic Segmentation. ICLR 2020 - [c85]Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang:
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. ICLR 2020 - [c84]Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. ICLR 2020 - [c83]Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin:
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. ICLR 2020 - [c82]Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian:
NADS: Neural Architecture Distribution Search for Uncertainty Awareness. ICML 2020: 356-366 - [c81]Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang:
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. ICML 2020: 1510-1519 - [c80]Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar:
Automated Synthetic-to-Real Generalization. ICML 2020: 1746-1756 - [c79]Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang:
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. ICML 2020: 3292-3303 - [c78]Reza Oftadeh, Jiayi Shen, Zhangyang Wang, Dylan A. Shell:
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders. ICML 2020: 7405-7413 - [c77]Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
When Does Self-Supervision Help Graph Convolutional Networks? ICML 2020: 10871-10880 - [c76]Ameer Hamza Shakur, Xiaoning Qian, Zhangyang Wang, Bobak Mortazavi, Shuai Huang:
GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data. ICPR 2020: 10608-10615 - [c75]Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang:
AutoSpeech: Neural Architecture Search for Speaker Recognition. INTERSPEECH 2020: 916-920 - [c74]Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. ISCA 2020: 954-967 - [c73]Zhenyu Wu, Duc Hoang, Shih-Yao Lin, Yusheng Xie, Liangjian Chen, Yen-Yu Lin, Zhangyang Wang, Wei Fan:
MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis. ACM Multimedia 2020: 2508-2516 - [c72]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin:
The Lottery Ticket Hypothesis for Pre-trained BERT Networks. NeurIPS 2020 - [c71]Xiaohan Chen, Zhangyang Wang, Siyu Tang, Krikamol Muandet:
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning. NeurIPS 2020 - [c70]Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang:
Training Stronger Baselines for Learning to Optimize. NeurIPS 2020 - [c69]Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin:
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. NeurIPS 2020 - [c68]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Robust Pre-Training by Adversarial Contrastive Learning. NeurIPS 2020 - [c67]Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang:
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. NeurIPS 2020 - [c66]Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen:
Graph Contrastive Learning with Augmentations. NeurIPS 2020 - [c65]Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin:
ShiftAddNet: A Hardware-Inspired Deep Network. NeurIPS 2020 - [c64]Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. WACV 2020: 2365-2374 - [c63]