Zhangyang Wang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 659

Top Venues

Publications

Shijie Zhou, Zhiwen Fan, Dejia Xu, Haoran Chang, Pradyumna Chari, Tejas Bharadwaj, Suya You, Zhangyang Wang, Achuta Kadambi
DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting. CoRR (2024)
Dejia Xu, Hanwen Liang, Neel P. Bhatt, Hezhen Hu, Hanxue Liang, Konstantinos N. Plataniotis, Zhangyang Wang
Comp4D: LLM-Guided Compositional 4D Scene Generation. CoRR (2024)
Moreno D'Incà, Elia Peruzzo, Massimiliano Mancini, Dejia Xu, Vidit Goel, Xingqian Xu, Zhangyang Wang, Humphrey Shi, Nicu Sebe
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models. CoRR (2024)
Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR (2024)
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
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR (2024)
Dejia Xu, Weili Nie, Chao Liu, Sifei Liu, Jan Kautz, Zhangyang Wang, Arash Vahdat
CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation. CoRR (2024)
Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. CoRR (2024)
Gabriel Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. ACL (Findings) (2024)
Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat
AGG: Amortized Generative 3D Gaussians for Single Image to 3D. CoRR (2024)
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
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. WACV (2024)
Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin
Principled Architecture-aware Scaling of Hyperparameters. CoRR (2024)
Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang
Doubly Robust Instance-Reweighted Adversarial Training. ICLR (2024)
Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen
LoCoCo: Dropping In Convolutions for Long Context Compression. CoRR (2024)
Lisong C. Sun, Neel P. Bhatt, Jonathan C. Liu, Zhiwen Fan, Zhangyang Wang, Todd E. Humphreys, Ufuk Topcu
MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements. CoRR (2024)
Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection. CoRR (2024)
Zhenyu Zhang, Ajay Jaiswal, Lu Yin, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients. CoRR (2024)
Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. ICLR (2024)
Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang
Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. ICLR (2024)
Arman Isajanyan, Artur Shatveryan, David Kocharyan, Zhangyang Wang, Humphrey Shi
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community. CoRR (2024)
Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Safe and Robust Watermark Injection with a Single OoD Image. ICLR (2024)
Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. ICLR (2024)
Hanwen Liang, Yuyang Yin, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, Yunchao Wei
Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models. CoRR (2024)
Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis. CoRR (2024)
Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang
CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning. Trans. Mach. Learn. Res. 2024 (2024)
Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. CoRR (2024)
Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang
Expressive Gaussian Human Avatars from Monocular RGB Video. CoRR (2024)
Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images. 3DV (2024)
Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin
Principled Architecture-aware Scaling of Hyperparameters. ICLR (2024)
Artur Shagidanov, Hayk Poghosyan, Xinyu Gong, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
Grounded-Instruct-Pix2Pix: Improving Instruction Based Image Editing with Automatic Target Grounding. ICASSP (2024)
Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen
Latent 3D Graph Diffusion. ICLR (2024)
Roberto Henschel, Levon Khachatryan, Daniil Hayrapetyan, Hayk Poghosyan, Vahram Tadevosyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text. CoRR (2024)
Xiaoxuan Yang, Zhangyang Wang, X. Sharon Hu, Chris H. Kim, Shimeng Yu, Miroslav Pajic, Rajit Manohar, Yiran Chen, Hai Helen Li
Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Zhiwen Fan, Pu Wang, Yang Zhao, Yibo Zhao, Boris Ivanovic, Zhangyang Wang, Marco Pavone, Hao Frank Yang
Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses. CoRR (2024)
Elia Peruzzo, Vidit Goel, Dejia Xu, Xingqian Xu, Yifan Jiang, Zhangyang Wang, Humphrey Shi, Nicu Sebe
VASE: Object-Centric Appearance and Shape Manipulation of Real Videos. CoRR (2024)
Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. CoRR (2024)
Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR (2024)
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
Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. WWW (Companion Volume) (2024)
Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
LLaGA: Large Language and Graph Assistant. CoRR (2024)
Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang
InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds. CoRR (2024)
Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding. CoRR (2024)
Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97 (2024)
Jinze Zhao, Peihao Wang, Zhangyang Wang
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study. CoRR (2024)
Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. CoRR (2024)
Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. CoRR (2024)
Arman Isajanyan, Artur Shatveryan, David Kocharian, Zhangyang Wang, Humphrey Shi
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community. ICLR (2024)
Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov
Flextron: Many-in-One Flexible Large Language Model. CoRR (2024)
Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk. SaTML (2024)
Veer Sangha, Akshay Khunte, Gregory Holste, Bobak J. Mortazavi, Zhangyang Wang, Evangelos K. Oikonomou, Rohan Khera
Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. J. Am. Medical Informatics Assoc. 31 (4) (2024)
Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. CoRR (2024)
Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk. CoRR (2024)
Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR (2024)
Renjie Li, Panwang Pan, Bangbang Yang, Dejia Xu, Shijie Zhou, Xuanyang Zhang, Zeming Li, Achuta Kadambi, Zhangyang Wang, Zhiwen Fan
4K4DGen: Panoramic 4D Generation at 4K Resolution. CoRR (2024)
Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
Polynomial Width is Sufficient for Set Representation with High-dimensional Features. ICLR (2024)
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. CoRR (2024)
Ajay Kumar Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang
Compressing LLMs: The Truth is Rarely Pure and Never Simple. ICLR (2024)
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR (2023)
Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Zhangyang Wang, Yingbin Liang
Sharper analysis of sparsely activated wide neural networks with trainable biases. CoRR (2023)
Wenqing Zheng, Hao (Frank) Yang, Jiarui Cai, Peihao Wang, Xuan Jiang, Simon Shaolei Du, Yinhai Wang, Zhangyang Wang
Integrating the traffic science with representation learning for city-wide network congestion prediction. Inf. Fusion 99 (2023)
Hongru Yang, Zhangyang Wang
On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks. AISTATS (2023)
Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen
O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. CoRR (2023)
Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. CoRR (2023)
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
Towards Constituting Mathematical Structures for Learning to Optimize. ICML (2023)
Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations. ICLR (2023)
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
Towards Constituting Mathematical Structures for Learning to Optimize. CoRR (2023)
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
Dynamic Sparsity Is Channel-Level Sparsity Learner. NeurIPS (2023)
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR (2023)
Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR (2023)
Wenqing Zheng, S. P. Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation. ICML (2023)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR (2023)
Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts. CoRR (2023)
Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CVPR Workshops (2023)
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
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. AAAI (2023)
Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
Learning to Generalize Provably in Learning to Optimize. AISTATS (2023)
Xingqian Xu, Zhangyang Wang, Eric Zhang, Kai Wang, Humphrey Shi
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model. ICCV (2023)
Yuyang Yin, Dejia Xu, Zhangyang Wang, Yao Zhao, Yunchao Wei
4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency. CoRR (2023)
Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS. CoRR (2023)
Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. ASP-DAC (2023)
Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
Can Pruning Improve Certified Robustness of Neural Networks? Trans. Mach. Learn. Res. 2023 (2023)
Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang
Learning to Optimize Differentiable Games. ICML (2023)
Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV (2023)
Dejia Xu, Xingqian Xu, Wenyan Cong, Humphrey Shi, Zhangyang Wang
Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap. CoRR (2023)
Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
Chasing Better Deep Image Priors between Over- and Under-parameterization. Trans. Mach. Learn. Res. 2023 (2023)
Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CoRR (2023)
Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. CVPR Workshops (2023)
Mingquan Lin, Yuyun Xiao, Bojian Hou, Tingyi Wanyan, Mohit Manoj Sharma, Zhangyang Wang, Fei Wang, Sarah Van Tassel, Yifan Peng
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. CoRR (2023)
Shijie Zhou, Haoran Chang, Sicheng Jiang, Zhiwen Fan, Zehao Zhu, Dejia Xu, Pradyumna Chari, Suya You, Zhangyang Wang, Achuta Kadambi
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields. CoRR (2023)
Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing. ICCAD (2023)
Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
Troubleshooting image segmentation models with human-in-the-loop. Mach. Learn. 112 (3) (2023)
Tianjin Huang, Tianlong Chen, Zhangyang Wang, Shiwei Liu
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need. CoRR (2023)
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR (2023)
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 H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil K. Jain, Xiaoming Liu
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. CoRR (2023)
Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. CoRR (2023)
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
Dynamic Sparsity Is Channel-Level Sparsity Learner. CoRR (2023)
Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang
Physics-Driven Turbulence Image Restoration with Stochastic Refinement. CoRR (2023)
Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang
Doubly Robust Instance-Reweighted Adversarial Training. CoRR (2023)
Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. ACL (1) (2023)
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV (2023)
Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. CoRR (2023)

Zhangyang Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Zhangyang Wang