Wang, Zhangyang

319 publications

ICLR 2025 4K4DGen: Panoramic 4D Generation at 4k Resolution Renjie Li, Panwang Pan, Bangbang Yang, Dejia Xu, Shijie Zhou, Xuanyang Zhang, Zeming Li, Achuta Kadambi, Zhangyang Wang, Zhengzhong Tu, Zhiwen Fan

CVPR 2025 A Stitch in Time Saves Nine: Small VLM Is a Precise Guidance for Accelerating Large VLMs Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You

TMLR 2025 AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving Shuo Xing, Hongyuan Hua, Xiangbo Gao, Shenzhe Zhu, Renjie Li, Kexin Tian, Xiaopeng Li, Heng Huang, Tianbao Yang, Zhangyang Wang, Yang Zhou, Huaxiu Yao, Zhengzhong Tu

ICML 2025 Cavia: Camera-Controllable Multi-View Video Diffusion with View-Integrated Attention Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang

WACV 2025 Copy or Not? Reference-Based Face Image Restoration with Fine Details Min Jin Chong, Dejia Xu, Yi Zhang, Zhangyang Wang, David Forsyth, Gurunandan Krishnan, Yicheng Wu, Jian Wang

DMLR 2025 Deep Learning for Accurate Diagnosis of Viral Infections Through scRNA-Seq Analysis: A Comprehensive Benchmark Study Ziwei Yang, Xuxi Chen, Biqing Zhu, Tianlong Chen, Zhangyang Wang

NeurIPS 2025 Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Zhiyuan Liang, Dongwen Tang, Yuhao Zhou, Xuanlei Zhao, Mingjia Shi, Wangbo Zhao, Zekai Li, Peihao Wang, Konstantin Schürholt, Damian Borth, Michael M. Bronstein, Yang You, Zhangyang Wang, Kai Wang

CVPRW 2025 Efficient Image Generation with Variadic Attention Heads Steven Walton, Ali Hassani, Xingqian Xu, Zhangyang Wang, Humphrey Shi

CPAL 2025 Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks Wei Huang, Wuyang Chen, Zhiqiang Xu, Zhangyang Wang, Taiji Suzuki

CVPR 2025 Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields Shijie Zhou, Hui Ren, Yijia Weng, Shuwang Zhang, Zhen Wang, Dejia Xu, Zhiwen Fan, Suya You, Zhangyang Wang, Leonidas Guibas, Achuta Kadambi

CVPR 2025 FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang

ICML 2025 From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications Ajay Kumar Jaiswal, Yifan Wang, Lu Yin, Shiwei Liu, Runjin Chen, Jiawei Zhao, Ananth Grama, Yuandong Tian, Zhangyang Wang

NeurIPS 2025 Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models Haoyu Peter Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li

ICML 2025 HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella

ICLR 2025 HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi

CPAL 2025 How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks William T Redman, Zhangyang Wang, Alessandro Ingrosso, Sebastian Goldt

ICLR 2025 LLaMaFlex: Many-in-One LLMs via Generalized Pruning and Weight Sharing Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov

NeurIPS 2025 Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions Longfei Li, Zhiwen Fan, Wenyan Cong, Xinhang Liu, Yuyang Yin, Matt Foutter, Panwang Pan, Chenyu You, Yue Wang, Zhangyang Wang, Yao Zhao, Marco Pavone, Yunchao Wei

CPAL 2025 Meta ControlNet: Enhancing Task Adaptation via Meta Learning Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang

ICML 2025 On the Provable Separation of Scales in Maximal Update Parameterization Letong Hong, Zhangyang Wang

ICML 2025 On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella

NeurIPS 2025 One Token Embedding Is Enough to Deadlock Your Large Reasoning Model Mohan Zhang, Yihua Zhang, Jinghan Jia, Zhangyang Wang, Sijia Liu, Tianlong Chen

ICML 2025 PIPA: Preference Alignment as Prior-Informed Statistical Estimation Junbo Li, Zhangyang Wang, Qiang Liu

CPAL 2025 Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients Zhenyu Zhang, Ajay Kumar Jaiswal, Lu Yin, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang

ICLR 2025 R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li

NeurIPS 2025 REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training Ziqiao Wang, Wangbo Zhao, Yuhao Zhou, Zekai Li, Zhiyuan Liang, Mingjia Shi, Xuanlei Zhao, Pengfei Zhou, Kaipeng Zhang, Zhangyang Wang, Kai Wang, Yang You

JMLR 2025 Random Pruning Over-Parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang

ICML 2025 Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang

NeurIPS 2025 SAS: Simulated Attention Score Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan Kulkarni, Yelong Shen, Zhangyang Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao

ICLR 2025 SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu

NeurIPS 2025 Scaling up Parameter Generation: A Recurrent Diffusion Approach Kai Wang, Dongwen Tang, Wangbo Zhao, Konstantin Schürholt, Zhangyang Wang, Yang You

ICLRW 2025 Scaling up Parameter Generation: A Recurrent Diffusion Approach Kai Wang, Dongwen Tang, Wangbo Zhao, Konstantin Schürholt, Zhangyang Wang, Yang You

ICLRW 2025 Spam: Spike-Aware Adam with Momentum Reset for Stable LLM Training Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu

CPAL 2025 Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen

AAAI 2025 Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang

ICLRW 2025 Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu

CVPR 2025 Steepest Descent Density Control for Compact 3D Gaussian Splatting Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan

AISTATS 2025 SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

CVPR 2025 StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text Roberto Henschel, Levon Khachatryan, Hayk Poghosyan, Daniil Hayrapetyan, Vahram Tadevosyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi

ICLR 2025 Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow Hongru Yang, Zhangyang Wang, Jason D. Lee, Yingbin Liang

ICLR 2025 Understanding and Mitigating Bottlenecks of State Space Models Through the Lens of Recency and Over-Smoothing Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li

CPAL 2025 You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-Offs at Inference Time Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu

NeurIPS 2024 $\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang

NeurIPS 2024 $\texttt{Model-GLUE}$: Democratized LLM Scaling for a Large Model Zoo in the Wild Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen

ICLRW 2024 A-CONECT: Designing AI-Based Conversational Chatbot for Early Dementia Intervention Junyuan Hong, Wenqing Zheng, Han Meng, Siqi Liang, Anqing Chen, Hiroko H. Dodge, Jiayu Zhou, Zhangyang Wang

TMLR 2024 AGG: Amortized Generative 3D Gaussians for Single Image to 3D Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat

NeurIPS 2024 AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-Wise Pruning of Large Language Models Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang

TMLR 2024 CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang

ICLR 2024 Compressing LLMs: The Truth Is Rarely Pure and Never Simple Ajay Kumar Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang

CPAL 2024 Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Materials Science Benchmark and a Sparsity-Oriented Optimization Framework Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher

CVPRW 2024 DGBD: Depth Guided Branched Diffusion for Comprehensive Controllability in Multi-View Generation Hovhannes Margaryan, Daniil Hayrapetyan, Wenyan Cong, Zhangyang Wang, Humphrey Shi

ICLR 2024 DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang

ICLR 2024 Data Distillation Can Be like Vodka: Distilling More Times for Better Quality Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman

ICML 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li

ICLRW 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li

CPAL 2024 Decoding Micromotion in Low-Dimensional Latent Spaces from StyleGAN Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Eric Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang

NeurIPS 2024 Diffusion4D: Fast Spatial-Temporal Consistent 4D Generation via Video Diffusion Models Hanwen Liang, Yuyang Yin, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, Yunchao Wei

ICLR 2024 Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang

ECCV 2024 DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting Shijie Zhou, Zhiwen Fan, Dejia Xu, Haoran Chang, Pradyumna Chari, Tejas K Bharadwaj, Suya You, Zhangyang Wang, Achuta Kadambi

ICLR 2024 Efficient-3Dim: Learning a Generalizable Single-Image Novel-View Synthesizer in One Day Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao

NeurIPSW 2024 Enhancing Generalization in Sparse Mixture of Experts Models: The Case for Increased Expert Activation in Compositional Tasks Jinze Zhao, Junjie Yang, Peihao Wang, Yingbin Liang, Zhangyang Wang

NeurIPS 2024 Expressive Gaussian Human Avatars from Monocular RGB Video Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang

ECCV 2024 FSGS: Real-Time Few-Shot View Synthesis Using Gaussian Splatting Zehao Zhu, Zhiwen Fan, Yifan Jiang, Zhangyang Wang

WACV 2024 FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Xingguang Zhang, Stanley Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, Xiaoming Liu

CVPR 2024 Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields Shijie Zhou, Haoran Chang, Sicheng Jiang, Zhiwen Fan, Zehao Zhu, Dejia Xu, Pradyumna Chari, Suya You, Zhangyang Wang, Achuta Kadambi

ICML 2024 Flextron: Many-in-One Flexible Large Language Model Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov

CVPRW 2024 Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models Gong Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi

NeurIPS 2024 Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang

NeurIPSW 2024 GaLore-Mini: Low Rank Gradient Learning with Fewer Learning Rates Weihao Huang, Zhenyu Zhang, Yushun Zhang, Zhi-Quan Luo, Ruoyu Sun, Zhangyang Wang

ICML 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian

ICLRW 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian

ICML 2024 Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen

CPAL 2024 HRBP: Hardware-Friendly Regrouping Towards Block-Based Pruning for Sparse CNN Training Haoyu Ma, Chengming Zhang, Lizhi Xiang, Xiaolong Ma, Geng Yuan, Wenkai Zhang, Shiwei Liu, Tianlong Chen, Dingwen Tao, Yanzhi Wang, Zhangyang Wang, Xiaohui Xie

ICML 2024 Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textit{Irreversibly}$ and $\textit{Monotonically}$ Impairs “Difficult" Downstream Tasks in LLMs Lu Yin, Ajay Kumar Jaiswal, Shiwei Liu, Souvik Kundu, Zhangyang Wang

ICML 2024 LLaGA: Large Language and Graph Assistant Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang

NeurIPS 2024 Large Spatial Model: End-to-End Unposed Images to Semantic 3D Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang

ICLR 2024 Latent 3D Graph Diffusion Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen

CVPR 2024 Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D Mukund Varma T, Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi

NeurIPS 2024 LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang

ICML 2024 LoCoCo: Dropping in Convolutions for Long Context Compression Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen

CVPRW 2024 NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction Wenyan Cong, Hanxue Liang, Zhiwen Fan, Peihao Wang, Yifan Jiang, Dejia Xu, A. Cengiz Öztireli, Zhangyang Wang

JMLR 2024 Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Yingbin Liang, Zhangyang Wang

NeurIPSW 2024 OnThePlanning Abilities of OpenAI’s O1 Models: Feasibility, Optimality, and Generalizability Kevin Wang, Junbo Li, Neel P. Bhatt, Yihan Xi, Qiang Liu, Ufuk Topcu, Zhangyang Wang

CVPR 2024 OpenBias: Open-Set Bias Detection in Text-to-Image Generative Models Moreno D'Incà, Elia Peruzzo, Massimiliano Mancini, Dejia Xu, Vidit Goel, Xingqian Xu, Zhangyang Wang, Humphrey Shi, Nicu Sebe

ICML 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu

ICLRW 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu

CVPR 2024 PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Xingqian Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi

CVPRW 2024 POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Dejia Xu, Zhangyang Wang

ICLR 2024 Polynomial Width Is Sufficient for Set Representation with High-Dimensional Features Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li

ICMLW 2024 Pre-Training of Single-Cell Language Models Through Genetic Pathway Learning Xuxi Chen, Zhangyang Wang, Marinka Zitnik, Manolis Kellis, Tianlong Chen

ICLR 2024 Principled Architecture-Aware Scaling of Hyperparameters Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin

CVPR 2024 Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi

ICML 2024 Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen

ICLR 2024 Safe and Robust Watermark Injection with a Single OoD Image Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou

NeurIPSW 2024 Simple LLM Compression Recovery Using Dynamic Prompting with Theoretical Analysis Duc N.M Hoang, Minsik Cho, Thomas Merth, Mohammad Rastegari, Zhangyang Wang

ICLR 2024 Social Reward: Evaluating and Enhancing Generative AI Through Million-User Feedback from an Online Creative Community Arman Isajanyan, Artur Shatveryan, David Kocharian, Zhangyang Wang, Humphrey Shi

ICML 2024 Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All at Once Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang

NeurIPSW 2024 Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang

CVPR 2024 Taming Mode Collapse in Score Distillation for Text-to-3D Generation Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

NeurIPS 2024 Training Dynamics of Transformers to Recognize Word Co-Occurrence via Gradient Flow Analysis Hongru Yang, Bhavya Kailkhura, Zhangyang Wang, Yingbin Liang

ECCV 2024 VersatileGaussian: Real-Time Neural Rendering for Versatile Tasks Using Gaussian Splatting Renjie Li, Zhiwen Fan, Bohua Wang, Peihao Wang, Zhangyang Wang, Xi Wu

CPAL 2024 WS-iFSD: Weakly Supervised Incremental Few-Shot Object Detection Without Forgetting Xinyu Gong, Li Yin, Juan-Manuel Perez-Rua, Zhangyang Wang, Zhicheng Yan

CVPR 2024 Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi

CVPRW 2023 Accelerable Lottery Tickets with the Mixed-Precision Quantization Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang

ICCV 2023 AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li

CVPR 2023 AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue

ICML 2023 Are Large Kernels Better Teachers than Transformers for ConvNets? Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu

WACV 2023 Attend Who Is Weak: Pruning-Assisted Medical Image Localization Under Sophisticated and Implicit Imbalances Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang

CVPRW 2023 AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu

TMLR 2023 Can Pruning Improve Certified Robustness of Neural Networks? Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang

TMLR 2023 Chasing Better Deep Image Priors Between Over- and Under-Parameterization Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang

ICLR 2023 Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins Hehe Fan, Zhangyang Wang, Yi Yang, Mohan Kankanhalli

ICLRW 2023 Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Material Science Benchmark and an Integrated Optimization Framework Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher

ICML 2023 Data Efficient Neural Scaling Law via Model Reusing Peihao Wang, Rameswar Panda, Zhangyang Wang

ICCV 2023 Enhancing NeRF Akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma, Yi Wang, Zhangyang Wang

ICLR 2023 Equivariant Hypergraph Diffusion Neural Operators Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

AAAI 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

ICLR 2023 Graph Domain Adaptation via Theory-Grounded Spectral Regularization Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

ICML 2023 Graph Ladling: Shockingly Simple Parallel GNN Training Without Intermediate Communication Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang

ICMLW 2023 H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Re, Clark Barrett, Zhangyang Wang, Beidi Chen

ICLR 2023 HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew Ellington, Alex Dimakis, Adam Klivans

TMLR 2023 How Robust Is Your Fairness? Evaluating and Sustaining Fairness Under Unseen Distribution Shifts Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang

ICML 2023 Instant Soup: Cheap Pruning Ensembles in a Single Pass Can Draw Lottery Tickets from Large Models Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang

ICLR 2023 Is Attention All That NeRF Needs? Mukund Varma T, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang

ICLR 2023 Layer Grafted Pre-Training: Bridging Contrastive Learning and Masked Image Modeling for Label-Efficient Representations Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang

AISTATS 2023 Learning to Generalize Provably in Learning to Optimize Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang

ICLR 2023 Learning to Grow Pretrained Models for Efficient Transformer Training Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim

ICML 2023 Learning to Optimize Differentiable Games Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang

ICML 2023 Lowering the Pre-Training Tax for Gradient-Based Subset Training: A Lightweight Distributed Pre-Training Toolkit Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella

ICLR 2023 M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang

CVPR 2023 MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan

CVPRW 2023 Many-Task Federated Learning: A New Problem Setting and a Simple Baseline Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang

ICLR 2023 More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 Using Sparsity Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang

ICLR 2023 NeRF-SOS: Any-View Self-Supervised Object Segmentation on Complex Scenes Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang

CVPR 2023 NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object with 360deg Views Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang

AISTATS 2023 On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks Hongru Yang, Zhangyang Wang

ICML 2023 Outline, Then Details: Syntactically Guided Coarse-to-Fine Code Generation Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang

AAAI 2023 Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang

ICCV 2023 Physics-Driven Turbulence Image Restoration with Stochastic Refinement Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang

ICLR 2023 Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph Duc N.M Hoang, Shiwei Liu, Radu Marculescu, Zhangyang Wang

ICCV 2023 Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu

ICML 2023 Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? Ruisi Cai, Zhenyu Zhang, Zhangyang Wang

AAAI 2023 Safeguarded Learned Convex Optimization Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin

ICLR 2023 Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers Tianlong Chen, Zhenyu Zhang, Ajay Kumar Jaiswal, Shiwei Liu, Zhangyang Wang

ICLR 2023 Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang

CVPR 2023 Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models to Learn Any Unseen Style Haoming Lu, Hazarapet Tunanyan, Kai Wang, Shant Navasardyan, Zhangyang Wang, Humphrey Shi

ICCV 2023 StegaNeRF: Embedding Invisible Information Within Neural Radiance Fields Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang

ICCV 2023 Text2Video-Zero: Text-to-Image Diffusion Models Are Zero-Shot Video Generators Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi

ICML 2023 Towards Constituting Mathematical Structures for Learning to Optimize Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, Hanqin Cai

MLJ 2023 Troubleshooting Image Segmentation Models with Human-in-the-Loop Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

ICLR 2023 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

ICCV 2023 Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu, Zhangyang Wang, Gong Zhang, Kai Wang, Humphrey Shi

ICCV 2023 Vision HGNN: An Image Is More than a Graph of Nodes Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang

TMLR 2023 You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction Wenqing Zheng, Edward W Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian

AutoML 2023 “No Free Lunch” in Neural Architectures? a Joint Analysis of Expressivity, Convergence, and Generalization Wuyang Chen, Wei Huang, Zhangyang Wang

AISTATS 2022 VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian

NeurIPS 2022 A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang

ECCV 2022 A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou

TMLR 2022 Adversarial Feature Augmentation and Normalization for Visual Recognition Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang

ICLR 2022 Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang

ICLR 2022 Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable Shaojin Ding, Tianlong Chen, Zhangyang Wang

CVPR 2022 Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang

NeurIPS 2022 Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang

ICLR 2022 Auto-Scaling Vision Transformers Without Training Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

WACV 2022 Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang

AutoML 2022 AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks Duc N.M Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang

NeurIPS 2022 Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang

ICLR 2022 Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

CVPR 2022 CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang

TMLR 2022 Can You Win Everything with a Lottery Ticket? Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang

ICML 2022 Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang

ICLR 2022 Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng, Edward W Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian

ECCV 2022 DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang

ICML 2022 Data-Efficient Double-Win Lottery Tickets from Robust Pre-Training Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang

NeurIPS 2022 Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang

ICLR 2022 Deep Ensembling with No Overhead for Either Training or Testing: The All-Round Blessings of Dynamic Sparsity Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

MLHC 2022 Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi

CVPR 2022 DiSparse: Disentangled Sparsification for Multitask Model Compression Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi

CVPR 2022 EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie

ICLR 2022 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

ECCV 2022 Fast and High Quality Image Denoising via Malleable Convolution Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue

AAAI 2022 Federated Dynamic Sparse Training: Computing Less, Communicating Less, yet Learning Better Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen

NeurIPSW 2022 HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew Ellington, Alex Dimakis, Adam Klivans

WACV 2022 Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-Rays with Radiomics Using a Feedback Loop Yan Han, Chongyan Chen, Ahmed Tewfik, Benjamin Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang

ICLR 2022 Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining Miao Lu, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang

JMLR 2022 Learning to Optimize: A Primer and a Benchmark Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin

ICML 2022 Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang

CVPRW 2022 Locating Urban Trees near Electric Wires Using Google Street View Photos: A New Dataset and a Semi-Supervised Learning Approach in the Wild Artur André Almeida de Macedo Oliveira, Zhangyang Wang, Roberto Hirata

NeurIPS 2022 M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-Task Learning with Model-Accelerator Co-Design Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang

ICML 2022 Neural Implicit Dictionary Learning via Mixture-of-Expert Training Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang

NeurIPS 2022 Old Can Be Gold: Better Gradient Flow Can Make Vanilla-GCNs Great Again Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin Rousseau, Ying Ding, Zhangyang Wang

ICLR 2022 Optimizer Amalgamation Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang

ICML 2022 Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J Smola, Zhangyang Wang

ICLR 2022 Peek-a-Boo: What (More) Is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently Xiaohan Chen, Jason Zhang, Zhangyang Wang

ECCV 2022 Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang

CVPR 2022 Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang

TMLR 2022 Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang

NeurIPS 2022 Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection Without Clean Datasets Ruisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang

ICML 2022 Removing Batch Normalization Boosts Adversarial Training Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

WACV 2022 Sandwich Batch Normalization: A Drop-in Replacement for Feature Distribution Heterogeneity Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang

ECCV 2022 Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang

NeurIPS 2022 Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization Junru Wu, Yi Liang, Feng Han, Hassan Akbari, Zhangyang Wang, Cong Yu

NeurIPS 2022 Signal Processing for Implicit Neural Representations Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang

ECCV 2022 SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang

ECCV 2022 Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan

NeurIPS 2022 Sparse Winning Tickets Are Data-Efficient Image Recognizers Mukund Varma T, Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang

ICLR 2022 Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang

NeurIPS 2022 Symbolic Distillation for Learned TCP Congestion Control S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang

ICLR 2022 Symbolic Learning to Optimize: Towards Interpretability and Scalability Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang

CVPR 2022 The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang

ICLR 2022 The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy

ICML 2022 Training Your Sparse Neural Network Better with Any Mask Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang

NeurIPS 2022 Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang

ECCV 2022 Unified Implicit Neural Stylization Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang

ICLR 2022 Unified Visual Transformer Compression Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang

ICML 2022 Universality of Winning Tickets: A Renormalization Group Perspective William T Redman, Tianlong Chen, Zhangyang Wang, Akshunna S. Dogra

ICML 2022 VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning Based on Bayesian Novelty Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J Mortazavi, Shuai Huang, Xiaoning Qian

CVPR 2022 VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang

LoG 2022 You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu

CVPRW 2021 "BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang

ICLR 2021 A Design Space Study for LISTA and Beyond Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang

ICML 2021 A Unified Lottery Ticket Hypothesis for Graph Neural Networks Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang

NeurIPS 2021 AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang

NeurIPS 2021 Chasing Sparsity in Vision Transformers: An End-to-End Exploration Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang

ICLR 2021 Contrastive Syn-to-Real Generalization Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar

NeurIPS 2021 Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

CVPR 2021 Debiased Subjective Assessment of Real-World Image Enhancement Peibei Cao, Zhangyang Wang, Kede Ma

NeurIPS 2021 Delayed Propagation Transformer: A Universal Computation Engine Towards Practical Control in Cyber-Physical Systems Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang

CVPRW 2021 Dissecting the High-Frequency Bias in Convolutional Neural Networks Antonio A. Abello, Roberto Hirata, Zhangyang Wang

CVPRW 2021 E2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu

ICML 2021 Efficient Lottery Ticket Finding: Less Data Is More Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang

ICCV 2021 GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu

ICML 2021 Graph Contrastive Learning Automated Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang

NeurIPS 2021 Hyperparameter Tuning Is All You Need for LISTA Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin

NeurIPS 2021 IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogerio Feris, Aude Oliva

NeurIPS 2021 Improving Contrastive Learning on Imbalanced Data via Open-World Sampling Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

AAAI 2021 Learning Model-Based Privacy Protection Under Budget Constraints Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

ICLR 2021 Learning a Minimax Optimizer: A Pilot Study Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang

ICLR 2021 Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang

ICLR 2021 Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective Wuyang Chen, Xinyu Gong, Zhangyang Wang

ICLR 2021 Robust Overfitting May Be Mitigated by Properly Learned Smoothening Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang

ICCV 2021 SSH: A Self-Supervised Framework for Image Harmonization Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang

NeurIPS 2021 Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang

ICCV 2021 Searching for Two-Stream Models in Multivariate Space for Video Recognition Xinyu Gong, Heng Wang, Mike Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan

ICML 2021 Self-Damaging Contrastive Learning Ziyu Jiang, Tianlong Chen, Bobak J Mortazavi, Zhangyang Wang

NeurIPS 2021 Sparse Training via Boosting Pruning Plasticity with Neuroregeneration Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

ICML 2021 Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm Mingkang Zhu, Tianlong Chen, Zhangyang Wang

NeurIPS 2021 Stronger NAS with Weaker Predictors Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan

NeurIPS 2021 The Elastic Lottery Ticket Hypothesis Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang

CVPR 2021 The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

NeurIPS 2021 TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale up Yifan Jiang, Shiyu Chang, Zhangyang Wang

CVPR 2021 Troubleshooting Blind Image Quality Models in the Wild Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

ICLR 2021 UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu

ICLR 2021 Undistillable: Making a Nasty Teacher That CANNOT Teach Students Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang

NeurIPS 2021 You Are Caught Stealing My Winning Lottery Ticket! Making a Lottery Ticket Claim Its Ownership Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang

ICML 2020 AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

ICML 2020 Automated Synthetic-to-Real Generalization Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar

WACV 2020 Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua

WACV 2020 DAVID: Dual-Attentional Video Deblurring Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang

ECCV 2020 Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo

ICLR 2020 Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin

ICML 2020 Eliminating the Invariance on the Loss Landscape of Linear Autoencoders Reza Oftadeh, Jiayi Shen, Zhangyang Wang, Dylan Shell

ICLR 2020 FasterSeg: Searching for Faster Real-Time Semantic Segmentation Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

CVPRW 2020 Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang

NeurIPS 2020 FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin

AAAI 2020 Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin

ECCV 2020 GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang

NeurIPS 2020 Graph Contrastive Learning with Augmentations Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

ECCV 2020 HALO: Hardware-Aware Learning to Optimize Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin

ICLR 2020 I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

CVPRW 2020 In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang

NeurIPS 2020 MATE: Plugging in Model Awareness to Task Embedding for Meta Learning Xiaohan Chen, Zhangyang Wang, Siyu Tang, Krikamol Muandet

ICML 2020 NADS: Neural Architecture Distribution Search for Uncertainty Awareness Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian

NeurIPS 2020 Once-for-All Adversarial Training: In-Situ Tradeoff Between Robustness and Accuracy for Free Haotao Wang, Tianlong Chen, Shupeng Gui, TingKuei Hu, Ji Liu, Zhangyang Wang

NeurIPS 2020 Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

ICML 2020 Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang

AAAI 2020 Self-Supervised Learning for Generalizable Out-of-Distribution Detection Sina Mohseni, Mandar Pitale, J. B. S. Yadawa, Zhangyang Wang

NeurIPS 2020 ShiftAddNet: A Hardware-Inspired Deep Network Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin

NeurIPS 2020 The Lottery Ticket Hypothesis for Pre-Trained BERT Networks Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin

NeurIPS 2020 Training Stronger Baselines for Learning to Optimize Tianlong Chen, Weiyi Zhang, Zhou Jingyang, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

ICLR 2020 Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang

AISTATS 2020 Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery Zepeng Huo, Arash PakBin, Xiaohan Chen, Nathan Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi

ECCVW 2020 What Does CNN Shift Invariance Look like? a Visualization Study Jake Lee, Junfeng Yang, Zhangyang Wang

ICML 2020 When Does Self-Supervision Help Graph Convolutional Networks? Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

ICLR 2019 ALISTA: Analytic Weights Are as Good as Learned Weights in LISTA Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin

AISTATS 2019 Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian

CVPRW 2019 All-in-One Underwater Image Enhancement Using Domain-Adversarial Learning Pritish M. Uplavikar, Zhenyu Wu, Zhangyang Wang

CVPRW 2019 ArcticNet: A Deep Learning Solution to Classify the Arctic Area Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang

ICCVW 2019 Cross-Modal Person Search: A Coarse-to-Fine Framework Using Bi-Directional Text-Image Matching Xiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo, Zhangyang Wang

NeurIPS 2019 E2-Train: Training State-of-the-Art CNNs with over 80% Energy Savings Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang

NeurIPS 2019 Learning to Optimize in Swarms Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

NeurIPS 2019 Model Compression with Adversarial Robustness: A Unified Optimization Framework Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu

ICML 2019 Plug-and-Play Methods Provably Converge with Properly Trained Denoisers Ernest Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin

NeurIPS 2018 Can We Gain More from Orthogonality Regularizations in Training Deep Networks? Nitin Bansal, Xiaohan Chen, Zhangyang Wang

ICML 2018 Deep K-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin

AAAI 2018 End-to-End United Video Dehazing and Detection Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng

AAAI 2018 Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang

NeurIPS 2018 Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin

ECCV 2018 Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin

ECCVW 2018 VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song

AAAI 2018 Visual Recognition in Very Low-Quality Settings: Delving into the Power of Pre-Training Bowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas S. Huang

IJCAI 2018 When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang

ICCV 2017 AOD-Net: All-in-One Dehazing Network Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng

CVPRW 2017 Balanced Two-Stage Residual Networks for Image Super-Resolution Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang

IJCAI 2017 Doubly Sparsifying Network Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang

CVPRW 2017 NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

ICCV 2017 Robust Video Super-Resolution with Learned Temporal Dynamics Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas Huang

CVPR 2016 D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang

AAAI 2016 Epitomic Image Super-Resolution Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang

AAAI 2016 Learning Deep ℓ0 Encoders Zhangyang Wang, Qing Ling, Thomas S. Huang

IJCAI 2016 Learning a Deep ℓ∞ Encoder for Hashing Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang

CVPR 2016 Studying Very Low Resolution Recognition Using Deep Networks Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang

IJCAI 2015 A Joint Optimization Framework of Sparse Coding and Discriminative Clustering Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang

ICLR 2015 Real-World Font Recognition Using Deep Network and Domain Adaptation Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang

CVPRW 2015 Self-Tuned Deep Super Resolution Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang

WACV 2014 A Joint Perspective Towards Image Super-Resolution: Unifying External- and Self-Examples Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang

CVPRW 2014 Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP Zhaowen Wang, Zhangyang Wang, Mark Moll, Po-Sen Huang, Devin K. Grady, Nasser M. Nasrabadi, Thomas S. Huang, Lydia E. Kavraki, Mark Hasegawa-Johnson

AAAI 2014 Data Clustering by Laplacian Regularized L1-Graph Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang

NeurIPS 2014 On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang, Thomas S. Huang