Zhangyang Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
274
Venues
34
Active years
2012–2026
Best venue rank
A*
Where they publish
- A*ICLR58 papers
- A*CVPR53 papers
- A*ICML48 papers
- A*ICCV18 papers
- A*ECCV17 papers
- A*AAAI16 papers
- AWACV10 papers
- AAISTATS6 papers
- A*ACL5 papers
- MulticonferenceICASSP5 papers
- A*IJCAI4 papers
- AMICCAI3 papers
- BICIP3 papers
- BICPR2 papers
- AICCAD2 papers
- AWSDM2 papers
- A*DAC2 papers
- A*ICDM2 papers
- A*KDD2 papers
- ABMVC2 papers
- A*EMNLP1 paper
- AIROS1 paper
- A*WWW1 paper
- BASPDAC1 paper
- NationalQCE1 paper
- ACIKM1 paper
- BFPL1 paper
- AInterspeech1 paper
- A*ISCA1 paper
- BACII1 paper
- BIJCNN1 paper
- ASDM1 paper
- CVCIP1 paper
- CISCAS1 paper
Papers
274 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Oscillation Inversion: Training-Free Image and Video Enhancement Through Oscillated Latents in Large Flow Models. | Yan Zheng, Zhenxiao Liang, Xiaoyan Cong, Yi Yang, Lanqing Guo, Yuehao Wang, Peihao Wang, Zhangyang Wang |
| 2026 | ACL | Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration. | Jucheng Shen, Gaurav Sarkar, Yeonju Ro, Sharath Nittur Sridhar, Zhangyang Wang, Aditya Akella, Souvik Kundu |
| 2026 | ICPR | Growing Your Data: A Data Synthesis Approach for Irregular Time Series Forecasting. | Tong Wang, Xuxi Chen, Zhangyang Wang, Ying Ding |
| 2026 | WACV | FlowMorph: Revealing an Optimizable Flow Latent Space for Controlled Image Morphing. | Yan Zheng, Yi Yang, Lanqing Guo, Zhangyang Wang |
| 2025 | AAAI | Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study. | Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang |
| 2025 | ACL | Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. | Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen |
| 2025 | AISTATS | SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. | Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra |
| 2025 | CVPR | Efficient Image Generation with Variadic Attention Heads. | Steven Walton, Ali Hassani, Xingqian Xu, Zhangyang Wang, Humphrey Shi |
| 2025 | CVPR | 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 J. Guibas, Achuta Kadambi |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. | Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding |
| 2025 | ICLR | 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 |
| 2025 | ICLR | R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference. | Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li |
| 2025 | ICLR | LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing. | Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov |
| 2025 | ICLR | SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. | Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow. | Hongru Yang, Zhangyang Wang, Jason D. Lee, Yingbin Liang |
| 2025 | ICML | On the Provable Separation of Scales in Maximal Update Parameterization. | Letong Hong, Zhangyang Wang |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | PIPA: Preference Alignment as Prior-Informed Statistical Estimation. | Junbo Li, Zhangyang Wang, Qiang Liu |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding. | Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang |
| 2025 | WACV | Copy or Not? Reference-Based Face Image Restoration with Fine Details. | Min Jin Chong, Dejia Xu, Yi Zhang, Zhangyang Wang, David A. Forsyth, Gurunandan Krishnan, Yicheng Wu, Jian Wang |
| 2024 | ACL | RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. | Gabriel J. Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher |
| 2024 | CVPR | Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models. | Gong Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi |
| 2024 | CVPR | 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 ztireli, Zhangyang Wang |
| 2024 | CVPR | OpenBias: Open-Set Bias Detection in Text-to-Image Generative Models. | Moreno D'Inc, Elia Peruzzo, Massimiliano Mancini, Dejia Xu, Vidit Goel, Xingqian Xu, Zhangyang Wang, Humphrey Shi, Nicu Sebe |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | DGBD: Depth Guided Branched Diffusion for Comprehensive Controllability in Multi-View Generation. | Hovhannes Margaryan, Daniil Hayrapetyan, Wenyan Cong, Zhangyang Wang, Humphrey Shi |
| 2024 | CVPR | Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis. | Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi |
| 2024 | CVPR | Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. | Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi |
| 2024 | CVPR | Taming Mode Collapse in Score Distillation for Text-to-3D Generation. | Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra |
| 2024 | CVPR | Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models. | Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi |
| 2024 | CVPR | 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 |
| 2024 | ECCV | VersatileGaussian: Real-Time Neural Rendering for Versatile Tasks Using Gaussian Splatting. | Renjie Li, Zhiwen Fan, Bohua Wang, Peihao Wang, Zhangyang Wang, Xi Wu |
| 2024 | ECCV | DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting. | Shijie Zhou, Zhiwen Fan, Dejia Xu, Haoran Chang, Pradyumna Chari, Tejas Bharadwaj, Suya You, Zhangyang Wang, Achuta Kadambi |
| 2024 | ECCV | FSGS: Real-Time Few-Shot View Synthesis Using Gaussian Splatting. | Zehao Zhu, Zhiwen Fan, Yifan Jiang, Zhangyang Wang |
| 2024 | ICASSP | Grounded-Instruct-Pix2Pix: Improving Instruction Based Image Editing with Automatic Target Grounding. | Artur Shagidanov, Hayk Poghosyan, Xinyu Gong, Zhangyang Wang, Shant Navasardyan, Humphrey Shi |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. | Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman |
| 2024 | ICLR | Principled Architecture-aware Scaling of Hyperparameters. | Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin |
| 2024 | ICLR | DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. | Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Compressing LLMs: The Truth is Rarely Pure and Never Simple. | Ajay Kumar Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang |
| 2024 | ICLR | Doubly Robust Instance-Reweighted Adversarial Training. | Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang |
| 2024 | ICLR | Polynomial Width is Sufficient for Set Representation with High-dimensional Features. | Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li |
| 2024 | ICLR | Latent 3D Graph Diffusion. | Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen |
| 2024 | ICLR | Safe and Robust Watermark Injection with a Single OoD Image. | Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2024 | ICML | Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs. | Lu Yin, Ajay Kumar Jaiswal, Shiwei Liu, Souvik Kundu, Zhangyang Wang |
| 2024 | ICML | 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 |
| 2024 | ICML | Flextron: Many-in-One Flexible Large Language Model. | Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov |
| 2024 | ICML | LoCoCo: Dropping In Convolutions for Long Context Compression. | Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen |
| 2024 | ICML | LLaGA: Large Language and Graph Assistant. | Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection. | Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian |
| 2024 | IROS | MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements. | Lisong C. Sun, Neel P. Bhatt, Jonathan C. Liu, Zhiwen Fan, Zhangyang Wang, Todd E. Humphreys, Ufuk Topcu |
| 2024 | WWW | Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. | Yan Han, Kaiqi Chen, Shan Li, Ji Yan, Baoxu Shi, Lei Zhang, Fei Chen, Jaewon Yang, Yunpeng Xu, Xiaoqiang Luo, Qi He, Ying Ding, Zhangyang Wang |
| 2024 | WACV | 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, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, Xiaoming Liu |
| 2023 | AAAI | Safeguarded Learned Convex Optimization. | Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin |
| 2023 | AAAI | Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2023 | AAAI | 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 |
| 2023 | ACL | DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. | Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng |
| 2023 | AISTATS | Learning to Generalize Provably in Learning to Optimize. | Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang |
| 2023 | AISTATS | On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks. | Hongru Yang, Zhangyang Wang |
| 2023 | ASPDAC | Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. | Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition. | Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan |
| 2023 | CVPR | Accelerable Lottery Tickets with the Mixed-Precision Quantization. | Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang |
| 2023 | CVPR | 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 |
| 2023 | CVPR | NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views. | Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang |
| 2023 | CVPR | 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 |
| 2023 | ICCAD | INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing. | Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao |
| 2023 | ICCAD | Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-Level Sparsity via Mixture-of-Experts. | Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 T., Yi Wang, Zhangyang Wang |
| 2023 | ICCV | Vision HGNN: An Image is More than a Graph of Nodes. | Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang |
| 2023 | ICCV | Physics-Driven Turbulence Image Restoration with Stochastic Refinement. | Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang |
| 2023 | ICCV | 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 |
| 2023 | ICCV | StegaNeRF: Embedding Invisible Information within Neural Radiance Fields. | Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang |
| 2023 | ICCV | Versatile Diffusion: Text, Images and Variations All in One Diffusion Model. | Xingqian Xu, Zhangyang Wang, Eric J. Zhang, Kai Wang, Humphrey Shi |
| 2023 | ICCV | 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 |
| 2023 | ICLR | 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 D. Ellington, Alex Dimakis, Adam R. Klivans |
| 2023 | ICLR | Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. | Tianlong Chen, Zhenyu Zhang, Ajay Kumar Jaiswal, Shiwei Liu, Zhangyang Wang |
| 2023 | ICLR | NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. | Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang |
| 2023 | ICLR | Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins. | Hehe Fan, Zhangyang Wang, Yi Yang, Mohan S. Kankanhalli |
| 2023 | ICLR | Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph. | Duc N. M. Hoang, Shiwei Liu, Radu Marculescu, Zhangyang Wang |
| 2023 | ICLR | 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 |
| 2023 | ICLR | 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 Krkkinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Is Attention All That NeRF Needs? | Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang |
| 2023 | ICLR | Learning to Grow Pretrained Models for Efficient Transformer Training. | Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogrio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim |
| 2023 | ICLR | Equivariant Hypergraph Diffusion Neural Operators. | Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li |
| 2023 | ICLR | M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. | Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang |
| 2023 | ICLR | Graph Domain Adaptation via Theory-Grounded Spectral Regularization. | Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen |
| 2023 | ICLR | 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 |
| 2023 | ICML | Towards Constituting Mathematical Structures for Learning to Optimize. | Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai |
| 2023 | ICML | Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? | Ruisi Cai, Zhenyu Zhang, Zhangyang Wang |
| 2023 | ICML | Learning to Optimize Differentiable Games. | Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang |
| 2023 | ICML | 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 |
| 2023 | ICML | Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. | Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang |
| 2023 | ICML | 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 |
| 2023 | ICML | Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit. | Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella |
| 2023 | ICML | Data Efficient Neural Scaling Law via Model Reusing. | Peihao Wang, Rameswar Panda, Zhangyang Wang |
| 2023 | ICML | 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 |
| 2023 | MICCAI | How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? | Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang |
| 2023 | QCE | QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. | Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang |
| 2023 | WACV | 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 |
| 2023 | WSDM | Search Behavior Prediction: A Hypergraph Perspective. | Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian |
| 2022 | AAAI | Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. | Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen |
| 2022 | AISTATS | 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 |
| 2022 | CIKM | AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. | Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. | Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. | Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang |
| 2022 | CVPR | CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. | Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Locating Urban Trees near Electric Wires using Google Street View Photos: A New Dataset and A Semi-Supervised Learning Approach in the Wild. | Artur Andr Almeida de Macedo Oliveira, Zhangyang Wang, Roberto Hirata |
| 2022 | CVPR | DiSparse: Disentangled Sparsification for Multitask Model Compression. | Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi |
| 2022 | DAC | FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. | Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2022 | ECCV | Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models. | Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Unified Implicit Neural Stylization. | Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Fast and High Quality Image Denoising via Malleable Convolution. | Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue |
| 2022 | ECCV | Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction. | Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang |
| 2022 | ECCV | Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model. | Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan |
| 2022 | ECCV | SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. | Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang |
| 2022 | FPL | Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. | Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2022 | ICASSP | Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. | Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi |
| 2022 | ICASSP | Towards Lifelong Learning of Multilingual Text-to-Speech Synthesis. | Mu Yang, Shaojin Ding, Tianlong Chen, Tong Wang, Zhangyang Wang |
| 2022 | ICDM | RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. | Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding |
| 2022 | ICLR | Auto-scaling Vision Transformers without Training. | Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou |
| 2022 | ICLR | 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 |
| 2022 | ICLR | Sparsity Winning Twice: Better Robust Generalization from More Efficient Training. | Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang |
| 2022 | ICLR | Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable. | Shaojin Ding, Tianlong Chen, Zhangyang Wang |
| 2022 | ICLR | Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2022 | ICLR | Optimizer Amalgamation. | Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang |
| 2022 | ICLR | 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 |
| 2022 | ICLR | 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 |
| 2022 | ICLR | Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining. | Lu Miao, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang |
| 2022 | ICLR | Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. | Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang |
| 2022 | ICLR | Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How. | Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen |
| 2022 | ICLR | Unified Visual Transformer Compression. | Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang |
| 2022 | ICLR | Symbolic Learning to Optimize: Towards Interpretability and Scalability. | Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang |
| 2022 | ICLR | Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. | Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian |
| 2022 | ICML | 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 |
| 2022 | ICML | Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. | Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang |
| 2022 | ICML | Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. | Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang |
| 2022 | ICML | Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. | Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang |
| 2022 | ICML | Training Your Sparse Neural Network Better with Any Mask. | Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang |
| 2022 | ICML | Universality of Winning Tickets: A Renormalization Group Perspective. | William T. Redman, Tianlong Chen, Zhangyang Wang, Akshunna S. Dogra |
| 2022 | ICML | Neural Implicit Dictionary Learning via Mixture-of-Expert Training. | Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang |
| 2022 | ICML | Removing Batch Normalization Boosts Adversarial Training. | Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang |
| 2022 | ICML | 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 |
| 2022 | MICCAI | Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. | Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang |
| 2022 | WACV | Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity. | Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang |
| 2022 | WACV | Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. | Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang |
| 2022 | WACV | Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. | Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang |
| 2022 | WSDM | Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. | Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen |
| 2021 | AAAI | Learning Model-Based Privacy Protection under Budget Constraints. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2021 | ACL | EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. | Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu |
| 2021 | CVPR | Dissecting the High-Frequency Bias in Convolutional Neural Networks. | Antonio A. Abello, Roberto Hirata, Zhangyang Wang |
| 2021 | CVPR | Debiased Subjective Assessment of Real-World Image Enhancement. | Peibei Cao, Zhangyang Wang, Kede Ma |
| 2021 | CVPR | 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 |
| 2021 | CVPR | "BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization. | Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Troubleshooting Blind Image Quality Models in the Wild. | Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma |
| 2021 | DAC | InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. | Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin |
| 2021 | ICASSP | VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. | Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler |
| 2021 | ICCV | Searching for Two-Stream Models in Multivariate Space for Video Recognition. | Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan |
| 2021 | ICCV | GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. | Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu |
| 2021 | ICCV | 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 |
| 2021 | ICLR | Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective. | Wuyang Chen, Xinyu Gong, Zhangyang Wang |
| 2021 | ICLR | Contrastive Syn-to-Real Generalization. | Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jos M. lvarez, Zhangyang Wang, Anima Anandkumar |
| 2021 | ICLR | Robust Overfitting may be mitigated by properly learned smoothening. | Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang |
| 2021 | ICLR | Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning. | Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang |
| 2021 | ICLR | Undistillable: Making A Nasty Teacher That CANNOT teach students. | Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang |
| 2021 | ICLR | A Design Space Study for LISTA and Beyond. | Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang |
| 2021 | ICLR | Learning A Minimax Optimizer: A Pilot Study. | Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang |
| 2021 | ICLR | UMEC: Unified model and embedding compression for efficient recommendation systems. | Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu |
| 2021 | ICML | A Unified Lottery Ticket Hypothesis for Graph Neural Networks. | Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang |
| 2021 | ICML | Self-Damaging Contrastive Learning. | Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang |
| 2021 | ICML | Graph Contrastive Learning Automated. | Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang |
| 2021 | ICML | Efficient Lottery Ticket Finding: Less Data is More. | Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang |
| 2021 | ICML | Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. | Mingkang Zhu, Tianlong Chen, Zhangyang Wang |
| 2021 | KDD | Federated Adversarial Debiasing for Fair and Transferable Representations. | Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou |
| 2020 | AAAI | Practical Solutions for Machine Learning Safety in Autonomous Vehicles. | Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang |
| 2020 | AAAI | Self-Supervised Learning for Generalizable Out-of-Distribution Detection. | Sina Mohseni, Mandar Pitale, J. B. S. Yadawa, Zhangyang Wang |
| 2020 | AAAI | Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. | Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin |
| 2020 | AISTATS | Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. | Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi |
| 2020 | CVPR | Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. | Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang |
| 2020 | CVPR | Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. | Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker |
| 2020 | CVPR | Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification. | Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang |
| 2020 | CVPR | L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. | Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen |
| 2020 | CVPR | 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 |
| 2020 | ECCV | What Does CNN Shift Invariance Look Like? A Visualization Study. | Jake Lee, Junfeng Yang, Zhangyang Wang |
| 2020 | ECCV | HALO: Hardware-Aware Learning to Optimize. | Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin |
| 2020 | ECCV | GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. | Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang |
| 2020 | ECCV | Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches. | Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo |
| 2020 | ICLR | FasterSeg: Searching for Faster Real-time Semantic Segmentation. | Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang |
| 2020 | ICLR | Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. | Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang |
| 2020 | ICLR | I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. | Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma |
| 2020 | ICLR | 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 |
| 2020 | ICML | NADS: Neural Architecture Distribution Search for Uncertainty Awareness. | Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian |
| 2020 | ICML | Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. | Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang |
| 2020 | ICML | Automated Synthetic-to-Real Generalization. | Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar |
| 2020 | ICML | AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. | Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang |
| 2020 | ICML | Eliminating the Invariance on the Loss Landscape of Linear Autoencoders. | Reza Oftadeh, Jiayi Shen, Zhangyang Wang, Dylan A. Shell |
| 2020 | ICML | When Does Self-Supervision Help Graph Convolutional Networks? | Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen |
| 2020 | ICPR | GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data. | Ameer Hamza Shakur, Xiaoning Qian, Zhangyang Wang, Bobak Mortazavi, Shuai Huang |
| 2020 | Interspeech | AutoSpeech: Neural Architecture Search for Speaker Recognition. | Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang |
| 2020 | ISCA | SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. | Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin |
| 2020 | WACV | DAVID: Dual-Attentional Video Deblurring. | Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang |
| 2020 | WACV | 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 |
| 2019 | AISTATS | Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. | Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian |
| 2019 | CVPR | Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. | Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian |
| 2019 | CVPR | ArcticNet: A Deep Learning Solution to Classify the Arctic Area. | Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang |
| 2019 | CVPR | Single Image Deraining: A Comprehensive Benchmark Analysis. | Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Marcondes Cesar Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao |
| 2019 | CVPR | All-in-One Underwater Image Enhancement Using Domain-Adversarial Learning. | Pritish M. Uplavikar, Zhenyu Wu, Zhangyang Wang |
| 2019 | ICASSP | DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. | Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling |
| 2019 | ICCV | ABD-Net: Attentive but Diverse Person Re-Identification. | Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang |
| 2019 | ICCV | AutoGAN: Neural Architecture Search for Generative Adversarial Networks. | Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang |
| 2019 | ICCV | DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better. | Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang |
| 2019 | ICCV | Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. | Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang |
| 2019 | ICCV | Controllable Artistic Text Style Transfer via Shape-Matching GAN. | Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo |
| 2019 | ICLR | ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA. | Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin |
| 2019 | ICML | Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. | Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin |
| 2019 | MICCAI | Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. | Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Jim Xiuquan Ji, Xiaoning Qian, Steve B. Jiang |
| 2018 | AAAI | 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 |
| 2018 | AAAI | End-to-End United Video Dehazing and Detection. | Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng |
| 2018 | AAAI | Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. | Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang |
| 2018 | ECCV | Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study. | Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin |
| 2018 | ECCV | 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 Laganire, 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 |
| 2018 | ICDM | Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity. | Jianghao Shen, Sicheng Wang, Zhangyang Wang |
| 2018 | ICML | 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 |
| 2018 | IJCAI | When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. | Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang |
| 2018 | KDD | Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. | Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou |
| 2017 | ACII | Robust emotion recognition from low quality and low bit rate video: A deep learning approach. | Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang |
| 2017 | BMVC | Transformed Anti-Sparse Hashing. | Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang |
| 2017 | CVPR | 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 |
| 2017 | CVPR | 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, Cristvo 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 |
| 2017 | ICCV | AOD-Net: All-in-One Dehazing Network. | Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng |
| 2017 | ICCV | Robust Video Super-Resolution with Learned Temporal Dynamics. | Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas S. Huang |
| 2017 | ICIP | Computed tomography super-resolution using convolutional neural networks. | Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang |
| 2017 | IJCAI | Doubly Sparsifying Network. | Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang |
| 2017 | IJCNN | Image aesthetics assessment using Deep Chatterjee's machine. | Zhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane M. Beck, Thomas S. Huang |
| 2016 | AAAI | Learning Deep ℓ | Zhangyang Wang, Qing Ling, Thomas S. Huang |
| 2016 | AAAI | Epitomic Image Super-Resolution. | Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang |
| 2016 | CVPR | Studying Very Low Resolution Recognition Using Deep Networks. | Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang |
| 2016 | CVPR | D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. | Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang |
| 2016 | IJCAI | Learning A Deep ℓ | Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang |
| 2016 | SDM | Learning A Task-Specific Deep Architecture For Clustering. | Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Meng Wang, Thomas S. Huang |
| 2015 | CVPR | Self-tuned deep super resolution. | Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang |
| 2015 | IJCAI | A Joint Optimization Framework of Sparse Coding and Discriminative Clustering. | Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang |
| 2015 | VCIP | Designing a composite dictionary adaptively from joint examples. | Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang |
| 2014 | AAAI | Data Clustering by Laplacian Regularized L1-Graph. | Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang |
| 2014 | BMVC | Regularized l1-Graph for Data Clustering. | Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiawei Han, Thomas S. Huang |
| 2014 | CVPR | 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 |
| 2014 | WACV | A joint perspective towards image super-resolution: Unifying external- and self-examples. | Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang |
| 2012 | ICIP | Video frame interpolation using 3-D total variation regularized completion. | Zhefei Yu, Zhangyang Wang, Zeng Hu, Qing Ling, Houqiang Li |
| 2012 | ICIP | Video error concealment via total variation regularized matrix completion. | Zhefei Yu, Zhangyang Wang, Zeng Hu, Houqiang Li, Qing Ling |
| 2012 | ISCAS | Mixed Gaussian-impulse video noise removal via temporal-spatial decomposition. | Zhangyang Wang, Houqiang Li, Qing Ling, Weiping Li |