default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhangyang Wang
Zhangyang (Atlas) Wang – Zhang-Yang Wang
Person information
- affiliation: University of Texas at Austin, Cockrell School of Engineering, TX, USA
- affiliation (former): Texas A&M University, College Station, TX, USA
- affiliation (PhD 2016): University of Illinois Urbana-Champaign, Urbana, IL, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2026
[i394]Kevin Wang, Neel P. Bhatt, Cong Liu, Junbo Li, Runjin Chen, Yihan Xi, Timothy Barclay, Alvaro Velasquez, Ufuk Topcu, Zhangyang Wang:
Neurosymbolic LoRA: Why and When to Tune Weights vs. Rewrite Prompts. CoRR abs/2601.12711 (2026)- [i393]Tushaar Gangavarapu, Jiping Li, Christopher Vattheuer, Zhangyang Wang, Baharan Mirzasoleiman:
Data Distribution as a Lever for Guiding Optimizers Toward Superior Generalization in LLMs. CoRR abs/2602.00576 (2026) - 2025
- [j72]Ziwei Yang, Xuxi Chen, Biqing Zhu, Tianlong Chen, Zhangyang Wang:
Deep Learning for Accurate Diagnosis of Viral Infections through scRNA-seq Analysis: A Comprehensive Benchmark Study. J. Data-centric Mach. Learn. Res. 2: (12):1-19 (2025) - [j71]Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang:
Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis. J. Mach. Learn. Res. 26: 84:1-84:51 (2025) - [j70]Mingquan Lin
, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuwei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Pingkun Yan, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng:
CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. Medical Image Anal. 106: 103739 (2025) - [j69]Wenqing Zheng, S. P. Sharan, Zhiwen Fan, Kevin Wang, Yihan Xi, Zhangyang Wang:
Symbolic Visual Reinforcement Learning: A Scalable Framework With Object-Level Abstraction and Differentiable Expression Search. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 400-412 (2025) - [j68]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:
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving. Trans. Mach. Learn. Res. 2025 (2025) - [c365]Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study. AAAI 2025: 5084-5091 - [c364]Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen:
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. ACL (1) 2025: 29736-29753 - [c363]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. AISTATS 2025: 4024-4032 - [c362]Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang:
Meta ControlNet: Enhancing Task Adaptation via Meta Learning. CPAL 2025: 417-432 - [c361]Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu:
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CPAL 2025: 780-809 - [c360]Zhenyu Zhang, Ajay Kumar Jaiswal, Lu Yin, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang:
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients. CPAL 2025: 1035-1050 - [c359]Wei Huang, Wuyang Chen, Zhiqiang Xu, Zhangyang Wang, Taiji Suzuki:
Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks. CPAL 2025: 1087-1111 - [c358]Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen:
Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning. CPAL 2025: 1112-1145 - [c357]William T. Redman, Zhangyang Wang, Alessandro Ingrosso, Sebastian Goldt:
How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks. CPAL 2025: 1274-1291 - [c356]Roberto Henschel, Levon Khachatryan, Hayk Poghosyan, Daniil Hayrapetyan, Vahram Tadevosyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text. CVPR 2025: 2568-2577 - [c355]Steven Walton, Ali Hassani, Xingqian Xu, Zhangyang Wang, Humphrey Shi:
Efficient Image Generation with Variadic Attention Heads. CVPR Workshops 2025: 3239-3250 - [c354]Shijie Zhou, Hui Ren, Yijia Weng, Shuwang Zhang, Zhen Wang, Dejia Xu, Zhiwen Fan, Suya You, Zhangyang Wang, Leonidas J. Guibas, Achuta Kadambi:
Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields. CVPR 2025: 14179-14190 - [c353]Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang:
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. CVPR 2025: 16336-16345 - [c352]Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You:
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs. CVPR 2025: 19814-19824 - [c351]Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan:
Steepest Descent Density Control for Compact 3D Gaussian Splatting. CVPR 2025: 26663-26672 - [c350]Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding:
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. EMNLP 2025: 2858-2873 - [c349]Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models. ICLR 2025 - [c348]Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li:
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference. ICLR 2025 - [c347]Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov:
LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing. ICLR 2025 - [c346]Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu:
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. ICLR 2025 - [c345]Renjie Li, Panwang Pan, Bangbang Yang, Dejia Xu, Shijie Zhou, Xuanyang Zhang, Zeming Li, Achuta Kadambi, Zhangyang Wang, Zhengzhong Tu, Zhiwen Fan:
4K4DGen: Panoramic 4D Generation at 4K Resolution. ICLR 2025 - [c344]Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li:
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. ICLR 2025 - [c343]Hongru Yang, Zhangyang Wang, Jason D. Lee, Yingbin Liang:
Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow. ICLR 2025 - [c342]Letong Hong, Zhangyang Wang:
On the Provable Separation of Scales in Maximal Update Parameterization. ICML 2025 - [c341]Ajay Kumar Jaiswal, Yifan Wang, Lu Yin, Shiwei Liu, Runjin Chen, Jiawei Zhao, Ananth Grama, Yuandong Tian, Zhangyang Wang:
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications. ICML 2025 - [c340]Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella:
HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training. ICML 2025 - [c339]Junbo Li, Zhangyang Wang, Qiang Liu:
PIPA: Preference Alignment as Prior-Informed Statistical Estimation. ICML 2025 - [c338]Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella:
On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving. ICML 2025 - [c337]Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang:
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention. ICML 2025 - [c336]Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang:
Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding. ICML 2025 - [c335]Neel P. Bhatt, Yunhao Yang, Rohan Siva, Daniel Milan, Ufuk Topcu, Zhangyang Wang:
Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Framework. MLSys 2025 - [c334]Hanqing Zhu, Zhenyu Zhang, Wenyan Cong, Xi Liu, Sem Park, Vikas Chandra, Bo Long, David Z. Pan, Zhangyang Wang, Jinwon Lee:
APOLLO: SGD-like Memory, AdamW-level Performance. MLSys 2025 - [c333]Peihao Wang, Zhangyang (Atlas) Wang:
Why Neural Networks Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation for Neurosymbolic Reasoning. NeuS 2025: 36-65 - [c332]Tergel Molom-Ochir, Naman Saxena, Jiwoo Kim, Yiran Chen, Zhangyang (Atlas) Wang, Miroslav Pajic, Hai (Helen) Li:
Efficient Neuro-Symbolic Policy using In-Memory Computing. NeuS 2025: 384-395 - [c331]Min Jin Chong, Dejia Xu, Yi Zhang, Zhangyang Wang, David A. Forsyth, Gurunandan Krishnan, Yicheng Wu, Jian Wang:
Copy or Not? Reference-Based Face Image Restoration with Fine Details. WACV 2025: 9660-9669 - [i392]Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li:
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. CoRR abs/2501.00658 (2025) - [i391]Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang:
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding. CoRR abs/2501.00712 (2025) - [i390]Wenyan Cong, Kevin Wang, Jiahui Lei, Colton Stearns, Yuanhao Cai, Dilin Wang, Rakesh Ranjan, Matt Feiszli, Leonidas J. Guibas, Zhangyang Wang, Weiyao Wang, Zhiwen Fan:
VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment. CoRR abs/2501.01949 (2025) - [i389]Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu:
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. CoRR abs/2501.06842 (2025) - [i388]Li Yin, Zhangyang Wang:
LLM-AutoDiff: Auto-Differentiate Any LLM Workflow. CoRR abs/2501.16673 (2025) - [i387]Junbo Li, Zhangyang Wang, Qiang Liu:
PIPA: Preference Alignment as Prior-Informed Statistical Estimation. CoRR abs/2502.05773 (2025) - [i386]Yang Luo, Xuanlei Zhao, Mengzhao Chen, Kaipeng Zhang, Wenqi Shao, Kai Wang, Zhangyang Wang, Yang You:
Enhance-A-Video: Better Generated Video for Free. CoRR abs/2502.07508 (2025) - [i385]Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding:
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. CoRR abs/2502.14302 (2025) - [i384]Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu:
Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam. CoRR abs/2502.17055 (2025) - [i383]Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen:
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. CoRR abs/2503.01875 (2025) - [i382]Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Ben Hu:
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CoRR abs/2503.07066 (2025) - [i381]Mingjia Shi, Ruihan Lin, Xuxi Chen, Yuhao Zhou, Zezhen Ding, Pingzhi Li, Tong Wang, Kai Wang, Zhangyang Wang, Jiheng Zhang, Tianlong Chen:
Make Optimization Once and for All with Fine-grained Guidance. CoRR abs/2503.11462 (2025) - [i380]Jianzhu Yao, Kevin Wang, Ryan Hsieh, Haisu Zhou, Tianqing Zou, Zerui Cheng, Zhangyang Wang, Pramod Viswanath:
SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially? CoRR abs/2503.12349 (2025) - [i379]Laura Balzano, Tianjiao Ding, Benjamin D. Haeffele, Soo Min Kwon, Qing Qu, Peng Wang, Zhangyang Wang, Can Yaras:
An Overview of Low-Rank Structures in the Training and Adaptation of Large Models. CoRR abs/2503.19859 (2025) - [i378]Shijie Zhou, Hui Ren, Yijia Weng, Shuwang Zhang, Zhen Wang, Dejia Xu, Zhiwen Fan, Suya You, Zhangyang Wang, Leonidas J. Guibas, Achuta Kadambi:
Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields. CoRR abs/2503.20776 (2025) - [i377]Wenyan Cong, Hanqing Zhu, Peihao Wang, Bangya Liu, Dejia Xu, Kevin Wang, David Z. Pan, Yan Wang, Zhiwen Fan, Zhangyang Wang:
Can Test-Time Scaling Improve World Foundation Model? CoRR abs/2503.24320 (2025) - [i376]Yifan Wang, Runjin Chen, Bolian Li, David Cho, Yihe Deng, Ruqi Zhang, Tianlong Chen, Zhangyang Wang, Ananth Grama, Junyuan Hong:
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment. CoRR abs/2504.02193 (2025) - [i375]Ajay Jaiswal, Jianyu Wang, Yixiao Li, Pingzhi Li, Tianlong Chen, Zhangyang Wang, Chong Wang, Ruoming Pang, Xianzhi Du:
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations. CoRR abs/2504.05586 (2025) - [i374]Runjin Chen, Zhenyu Zhang, Junyuan Hong, Souvik Kundu, Zhangyang Wang:
SEAL: Steerable Reasoning Calibration of Large Language Models for Free. CoRR abs/2504.07986 (2025) - [i373]Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li:
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference. CoRR abs/2504.19449 (2025) - [i372]Feng Liu, Nicholas Chimitt, Lanqing Guo, Jitesh Jain, Aditya Kane, Minchul Kim, Wes Robbins, Yiyang Su, Dingqiang Ye, Xingguang Zhang, Jie Zhu, Siddharth Satyakam, Christopher Perry, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil K. Jain, Xiaoming Liu:
Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait. CoRR abs/2505.04616 (2025) - [i371]Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan:
Steepest Descent Density Control for Compact 3D Gaussian Splatting. CoRR abs/2505.05587 (2025) - [i370]Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang:
DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR abs/2505.13300 (2025) - [i369]Ziqiao Wang, Wangbo Zhao, Yuhao Zhou, Zekai Li, Zhiyuan Liang, Mingjia Shi, Xuanlei Zhao, Pengfei Zhou, Kaipeng Zhang, Zhangyang Wang, Kai Wang, Yang You:
REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training. CoRR abs/2505.16792 (2025) - [i368]Zhiwen Fan, Jian Zhang, Renjie Li, Junge Zhang, Runjin Chen, Hezhen Hu, Kevin Wang, Huaizhi Qu, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Tianlong Chen, Jiachen Li, Zhengzhong Tu, Zhangyang Wang, Rakesh Ranjan:
VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction. CoRR abs/2505.20279 (2025) - [i367]Zixin Ding, Junyuan Hong, Jiachen T. Wang, Zinan Lin, Zhangyang Wang, Yuxin Chen:
Scaling Textual Gradients via Sampling-Based Momentum. CoRR abs/2506.00400 (2025) - [i366]Wenyan Cong, Yiqing Liang, Yancheng Zhang, Ziyi Yang, Yan Wang, Boris Ivanovic, Marco Pavone, Chen Chen, Zhangyang Wang, Zhiwen Fan:
E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models. CoRR abs/2506.01933 (2025) - [i365]Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang:
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. CoRR abs/2506.04174 (2025) - [i364]Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella:
HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training. CoRR abs/2506.04531 (2025) - [i363]Haoyu Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li:
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models. CoRR abs/2506.07334 (2025) - [i362]Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuowei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng:
CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. CoRR abs/2506.07984 (2025) - [i361]Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella:
On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention. CoRR abs/2506.09316 (2025) - [i360]Gabriel J. Perin, Runjin Chen, Xuxi Chen, Nina S. T. Hirata, Zhangyang Wang, Junyuan Hong:
LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning. CoRR abs/2506.15606 (2025) - [i359]Shuo Xing, Lanqing Guo, Hongyuan Hua, Seoyoung Lee, Peiran Li, Yufei Wang, Zhangyang Wang, Zhengzhong Tu:
Demystifying the Visual Quality Paradox in Multimodal Large Language Models. CoRR abs/2506.15645 (2025) - [i358]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:
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights. CoRR abs/2506.16406 (2025) - [i357]Peihao Wang, Zhangyang Wang:
Why Neural Network Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation for Neurosymbolic Reasoning. CoRR abs/2506.21797 (2025) - [i356]Lanqing Guo, Yufei Wang, Hezhen Hu, Yan Zheng, Yeying Jin, Siyu Huang, Zhangyang Wang:
Mastering Regional 3DGS: Locating, Initializing, and Editing with Diverse 2D Priors. CoRR abs/2507.05426 (2025) - [i355]Longfei Li, Zhiwen Fan, Wenyan Cong, Xinhang Liu, Yuyang Yin, Matthew Foutter, Panwang Pan, Chenyu You, Yue Wang, Zhangyang Wang, Yao Zhao, Marco Pavone, Yunchao Wei:
Martian World Models: Controllable Video Synthesis with Physically Accurate 3D Reconstructions. CoRR abs/2507.07978 (2025) - [i354]Yunhao Yang, Neel P. Bhatt, Christian Ellis, Alvaro Velasquez, Zhangyang Wang, Ufuk Topcu:
Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces. CoRR abs/2507.11352 (2025) - [i353]Yunhao Yang, Junyuan Hong, Gabriel Jacob Perin, Zhiwen Fan, Li Yin, Zhangyang Wang, Ufuk Topcu:
AD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback. CoRR abs/2509.18384 (2025) - [i352]Neel P. Bhatt, Yunhao Yang, Rohan Siva, Pranay Samineni, Daniel Milan, Zhangyang Wang, Ufuk Topcu:
VLN-Zero: Rapid Exploration and Cache-Enabled Neurosymbolic Vision-Language Planning for Zero-Shot Transfer in Robot Navigation. CoRR abs/2509.18592 (2025) - [i351]Wangbo Zhao, Yizeng Han, Zhiwei Tang, Jiasheng Tang, Pengfei Zhou, Kai Wang, Bohan Zhuang, Zhangyang Wang, Fan Wang, Yang You:
RAPID3: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer. CoRR abs/2509.22323 (2025) - [i350]Chuanyang Zheng, Jiankai Sun, Yihang Gao, Enze Xie, Yuehao Wang, Peihao Wang, Ting Xu, Matthew Chang, Liliang Ren, Jingyao Li, Jing Xiong, Kashif Rasul, Mac Schwager, Anderson Schneider, Zhangyang Wang, Yuriy Nevmyvaka:
Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel. CoRR abs/2509.25913 (2025) - [i349]Sina Alemohammad, Zhangyang Wang, Richard G. Baraniuk:
Neon: Negative Extrapolation From Self-Training Improves Image Generation. CoRR abs/2510.03597 (2025) - [i348]Neel P. Bhatt, Po-han Li, Kushagra Gupta, Rohan Siva, Daniel Milan, Alexander T. Hogue, Sandeep P. Chinchali, David Fridovich-Keil, Zhangyang Wang, Ufuk Topcu:
UNCAP: Uncertainty-Guided Planning Using Natural Language Communication for Cooperative Autonomous Vehicles. CoRR abs/2510.12992 (2025) - [i347]Shuo Xing, Junyuan Hong, Yifan Wang, Runjin Chen, Zhenyu Zhang, Ananth Grama, Zhengzhong Tu, Zhangyang Wang:
LLMs Can Get "Brain Rot"! CoRR abs/2510.13928 (2025) - [i346]Mohan Zhang, Yihua Zhang, Jinghan Jia, Zhangyang Wang, Sijia Liu, Tianlong Chen:
One Token Embedding Is Enough to Deadlock Your Large Reasoning Model. CoRR abs/2510.15965 (2025) - [i345]Penghao Wang, Yuhao Zhou, Mengxuan Wu, Panpan Zhang, Zhangyang Wang, Kai Wang:
Data Efficient Any Transformer-to-Mamba Distillation via Attention Bridge. CoRR abs/2510.19266 (2025) - [i344]Penghao Wang, Yuhao Zhou, Mengxuan Wu, Ziheng Qin, Bangyuan Zhu, Shengbin Huang, Xuanlei Zhao, Panpan Zhang, Xiaojiang Peng, Yuzhang Shang, Jianfei Yang, Zheng Zhu, Tianlong Chen, Zhangyang Wang, Kai Wang:
ResearchGPT: Benchmarking and Training LLMs for End-to-End Computer Science Research Workflows. CoRR abs/2510.20279 (2025) - [i343]Yunhao Yang, Neel P. Bhatt, Pranay Samineni, Rohan Siva, Zhangyang Wang, Ufuk Topcu:
RepV: Safety-Separable Latent Spaces for Scalable Neurosymbolic Plan Verification. CoRR abs/2510.26935 (2025) - [i342]Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse:
Sherlock: Reliable and Efficient Agentic Workflow Execution. CoRR abs/2511.00330 (2025) - [i341]Hanqing Zhu, Zhenyu Zhang, Hanxian Huang, DiJia Su, Zechun Liu, Jiawei Zhao, Igor Fedorov, Hamed Pirsiavash, Zhizhou Sha, Jinwon Lee, David Z. Pan, Zhangyang Wang, Yuandong Tian, Kai Sheng Tai:
The Path Not Taken: RLVR Provably Learns Off the Principals. CoRR abs/2511.08567 (2025) - [i340]Jucheng Shen, Gaurav Sarkar, Yeonju Ro, Sharath Nittur Sridhar, Zhangyang Wang, Aditya Akella, Souvik Kundu:
Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration. CoRR abs/2512.07173 (2025) - [i339]Zhenyu Zhang, Shujian Zhang, John Lambert, Wenxuan Zhou, Zhangyang Wang, Mingqing Chen, Andrew Hard, Rajiv Mathews, Lun Wang:
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process. CoRR abs/2512.23988 (2025) - 2024
- [j67]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): 855-865 (2024) - [j66]Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Yingbin Liang, Zhangyang Wang:
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK. J. Mach. Learn. Res. 25: 321:1-321:51 (2024) - [j65]Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang:
One is Not Enough: Parameter-Efficient Fine-Tuning With Multiplicative Sparse Factorization. IEEE J. Sel. Top. Signal Process. 18(6): 1059-1069 (2024) - [j64]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: 103224 (2024) - [j63]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. npj Digit. Medicine 7(1) (2024) - [j62]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:
Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 7(1) (2024) - [j61]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): 749-763 (2024) - [j60]Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu:
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7618-7635 (2024) - [j59]Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song:
LLM-PBE: Assessing Data Privacy in Large Language Models. Proc. VLDB Endow. 17(11): 3201-3214 (2024) - [j58]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): 1683-1689 (2024) - [j57]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) - [j56]Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat:
AGG: Amortized Generative 3D Gaussians for Single Image to 3D. Trans. Mach. Learn. Res. 2024 (2024) - [c330]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: 1059-1071 - [c329]Gabriel J. 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: 1776-1782 - [c328]Xinyu Gong, Li Yin, Juan-Manuel Perez-Rua, Zhangyang Wang, Zhicheng Yan:
WS-iFSD: Weakly Supervised Incremental Few-shot Object Detection Without Forgetting. CPAL 2024: 20-38 - [c327]Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Eric J. Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang:
Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. CPAL 2024: 108-133 - [c326]Haoyu Ma, Chengming Zhang, Lizhi Xiang, Xiaolong Ma, Geng Yuan, Wenkai Zhang, Shiwei Liu, Tianlong Chen, Dingwen Tao, Yanzhi Wang, Zhangyang Wang, Xiaohui Xie:
HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training. CPAL 2024: 282-301 - [c325]Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher:
Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Materials Science Benchmark and A Sparsity-Oriented Optimization Framework. CPAL 2024: 302-323 - [c324]Hovhannes Margaryan, Daniil Hayrapetyan, Wenyan Cong, Zhangyang Wang, Humphrey Shi:
DGBD: Depth Guided Branched Diffusion for Comprehensive Controllability in Multi-View Generation. CVPR Workshops 2024: 747-756 - [c323]Gong Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi:
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models. CVPR Workshops 2024: 1755-1764 - [c322]Wenyan Cong, Hanxue Liang, Zhiwen Fan, Peihao Wang, Yifan Jiang, Dejia Xu, A. Cengiz Öztireli, Zhangyang Wang:
NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction. CVPR Workshops 2024: 2872-2882 - [c321]Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Dejia Xu, Zhangyang Wang:
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. CVPR Workshops 2024: 7771-7781 - [c320]Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Xingqian Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi:
PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor. CVPR 2024: 8609-8618 - [c319]Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi:
Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models. CVPR 2024: 8682-8692 - [c318]Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis. CVPR 2024: 8764-8774 - [c317]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CVPR 2024: 9037-9047 - [c316]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. CVPR 2024: 12225-12235 - [c315]Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi:
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. CVPR 2024: 21367-21377 - [c314]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. CVPR 2024: 21676-21685 - [c313]Zehao Zhu, Zhiwen Fan, Yifan Jiang, Zhangyang Wang:
FSGS: Real-Time Few-Shot View Synthesis Using Gaussian Splatting. ECCV (39) 2024: 145-163 - [c312]Renjie Li, Zhiwen Fan, Bohua Wang, Peihao Wang, Zhangyang Wang, Xi Wu:
VersatileGaussian: Real-Time Neural Rendering for Versatile Tasks Using Gaussian Splatting. ECCV (20) 2024: 258-275 - [c311]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. ECCV (6) 2024: 324-342 - [c310]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: 6585-6589 - [c309]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 - [c308]Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman:
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. ICLR 2024 - [c307]Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin:
Principled Architecture-aware Scaling of Hyperparameters. ICLR 2024 - [c306]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 - [c305]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 - [c304]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 - [c303]Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang:
Doubly Robust Instance-Reweighted Adversarial Training. ICLR 2024 - [c302]Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li:
Polynomial Width is Sufficient for Set Representation with High-dimensional Features. ICLR 2024 - [c301]Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen:
Latent 3D Graph Diffusion. ICLR 2024 - [c300]Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Safe and Robust Watermark Injection with a Single OoD Image. ICLR 2024 - [c299]Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov:
Flextron: Many-in-One Flexible Large Language Model. ICML 2024: 5298-5311 - [c298]Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen:
LoCoCo: Dropping In Convolutions for Long Context Compression. ICML 2024: 5348-5359 - [c297]Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang:
LLaGA: Large Language and Graph Assistant. ICML 2024: 7809-7823 - [c296]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. ICML 2024: 11437-11452 - [c295]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:
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. ICML 2024: 18611-18633 - [c294]Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang:
Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once. ICML 2024: 28368-28386 - [c293]Lu Yin, Ajay Kumar Jaiswal, Shiwei Liu, Souvik Kundu, Zhangyang Wang:
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs. ICML 2024: 57053-57068 - [c292]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:
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. ICML 2024: 57101-57115 - [c291]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. ICML 2024: 59173-59190 - [c290]Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian:
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection. ICML 2024: 61121-61143 - [c289]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. IROS 2024: 10159-10166 - [c288]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. NeurIPS 2024 - [c287]Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang:
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. NeurIPS 2024 - [c286]Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang:
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS. NeurIPS 2024 - [c285]Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone:
Large Spatial Model: End-to-end Unposed Images to Semantic 3D. NeurIPS 2024 - [c284]Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang:
Expressive Gaussian Human Avatars from Monocular RGB Video. NeurIPS 2024 - [c283]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. NeurIPS 2024 - [c282]Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang:
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. NeurIPS 2024 - [c281]Hongru Yang, Bhavya Kailkhura, Zhangyang Wang, Yingbin Liang:
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis. NeurIPS 2024 - [c280]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:
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. NeurIPS 2024 - [c279]Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang:
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk. SaTML 2024: 18-32 - [c278]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: 6215-6224 - [c277]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: 903-906 - [i338]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 abs/2401.00604 (2024) - [i337]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR abs/2401.00909 (2024) - [i336]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 abs/2401.02473 (2024) - [i335]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 abs/2401.04099 (2024) - [i334]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 abs/2401.05571 (2024) - [i333]Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang:
LLaGA: Large Language and Graph Assistant. CoRR abs/2402.08170 (2024) - [i332]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 abs/2402.09398 (2024) - [i331]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 abs/2402.09872 (2024) - [i330]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 abs/2402.11592 (2024) - [i329]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 abs/2402.14270 (2024) - [i328]Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin:
Principled Architecture-aware Scaling of Hyperparameters. CoRR abs/2402.17440 (2024) - [i327]Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian:
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection. CoRR abs/2403.03507 (2024) - [i326]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 abs/2403.04797 (2024) - [i325]Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang:
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk. CoRR abs/2403.09450 (2024) - [i324]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 abs/2403.14773 (2024) - [i323]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 abs/2403.15447 (2024) - [i322]Dejia Xu, Hanwen Liang, Neel P. Bhatt, Hezhen Hu, Hanxue Liang, Konstantinos N. Plataniotis, Zhangyang Wang:
Comp4D: LLM-Guided Compositional 4D Scene Generation. CoRR abs/2403.16993 (2024) - [i321]Jinze Zhao, Peihao Wang, Zhangyang Wang:
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study. CoRR abs/2403.17404 (2024) - [i320]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 abs/2403.18922 (2024) - [i319]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 abs/2403.20309 (2024) - [i318]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 abs/2404.00923 (2024) - [i317]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 abs/2404.06903 (2024) - [i316]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 abs/2404.07990 (2024) - [i315]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 abs/2405.08780 (2024) - [i314]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 abs/2405.16645 (2024) - [i313]Dejia Xu, Weili Nie, Chao Liu, Sifei Liu, Jan Kautz, Zhangyang Wang, Arash Vahdat:
CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation. CoRR abs/2406.02509 (2024) - [i312]Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis. CoRR abs/2406.04032 (2024) - [i311]Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen:
LoCoCo: Dropping In Convolutions for Long Context Compression. CoRR abs/2406.05317 (2024) - [i310]Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov:
Flextron: Many-in-One Flexible Large Language Model. CoRR abs/2406.10260 (2024) - [i309]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 abs/2406.10789 (2024) - [i308]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 abs/2406.13527 (2024) - [i307]Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang:
Expressive Gaussian Human Avatars from Monocular RGB Video. CoRR abs/2407.03204 (2024) - [i306]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 abs/2407.08296 (2024) - [i305]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 abs/2407.11239 (2024) - [i304]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 abs/2407.14996 (2024) - [i303]Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song:
LLM-PBE: Assessing Data Privacy in Large Language Models. CoRR abs/2408.12787 (2024) - [i302]Kevin Wang, Junbo Li, Neel P. Bhatt, Yihan Xi, Qiang Liu, Ufuk Topcu, Zhangyang Wang:
On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability. CoRR abs/2409.19924 (2024) - [i301]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:
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR abs/2410.05357 (2024) - [i300]Hongru Yang, Bhavya Kailkhura, Zhangyang Wang, Yingbin Liang:
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis. CoRR abs/2410.09605 (2024) - [i299]Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang:
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention. CoRR abs/2410.10774 (2024) - [i298]Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang:
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. CoRR abs/2410.10912 (2024) - [i297]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:
Large Spatial Model: End-to-end Unposed Images to Semantic 3D. CoRR abs/2410.18956 (2024) - [i296]Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang:
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. CoRR abs/2410.19123 (2024) - [i295]Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang:
Chasing Better Deep Image Priors between Over- and Under-parameterization. CoRR abs/2410.24187 (2024) - [i294]Neel P. Bhatt, Yunhao Yang, Rohan Siva, Daniel Milan, Ufuk Topcu, Zhangyang Wang:
Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Framework. CoRR abs/2411.01639 (2024) - [i293]Yan Zheng, Zhenxiao Liang, Xiaoyan Cong, Lanqing guo, Yuehao Wang, Peihao Wang, Zhangyang Wang:
Oscillation Inversion: Understand the structure of Large Flow Model through the Lens of Inversion Method. CoRR abs/2411.11135 (2024) - [i292]Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You:
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs. CoRR abs/2412.03324 (2024) - [i291]Hanqing Zhu, Zhenyu Zhang, Wenyan Cong, Xi Liu, Sem Park, Vikas Chandra, Bo Long, David Z. Pan, Zhangyang Wang, Jinwon Lee:
APOLLO: SGD-like Memory, AdamW-level Performance. CoRR abs/2412.05270 (2024) - [i290]William T. Redman, Zhangyang Wang, Alessandro Ingrosso, Sebastian Goldt:
On How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks. CoRR abs/2412.06545 (2024) - [i289]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:
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving. CoRR abs/2412.15206 (2024) - [i288]Runjin Chen, Mingxuan Ju, Ngoc Bui, Dimosthenis Antypas, Stanley Cai, Xiaopeng Wu, Leonardo Neves, Zhangyang Wang, Neil Shah, Tong Zhao:
Enhancing Item Tokenization for Generative Recommendation through Self-Improvement. CoRR abs/2412.17171 (2024) - 2023
- [j55]Sina Mohseni, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa:
Taxonomy of Machine Learning Safety: A Survey and Primer. ACM Comput. Surv. 55(8): 157:1-157:38 (2023) - [j54]Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang:
Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. IEEE Data Eng. Bull. 47(2): 80-95 (2023) - [j53]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: 101837 (2023) - [j52]Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
Troubleshooting image segmentation models with human-in-the-loop. Mach. Learn. 112(3): 1033-1051 (2023) - [j51]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): 2769-2781 (2023) - [j50]Priya Narayanan, Xin Hu, Zhenyu Wu, Matthew D. Thielke, John G. Rogers, Andre V. Harrison, John A. D'Agostino, James D. Brown, Long P. Quang, James R. Uplinger, Heesung Kwon, Zhangyang Wang:
A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth. IEEE Trans. Image Process. 32: 3481-3492 (2023) - [j49]Qiucheng Wu, Yifan Jiang, Junru Wu, Victor Kulikov, Vidit Goel, Nikita Orlov, Humphrey Shi, Zhangyang Wang, Shiyu Chang:
Broad Spectrum Image Deblurring via an Adaptive Super-Network. IEEE Trans. Image Process. 32: 5270-5282 (2023) - [j48]Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang:
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. IEEE Trans. Medical Imaging 42(3): 750-761 (2023) - [j47]Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Can Pruning Improve Certified Robustness of Neural Networks? Trans. Mach. Learn. Res. 2023 (2023) - [j46]Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang:
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. Trans. Mach. Learn. Res. 2023 (2023) - [j45]Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang:
Chasing Better Deep Image Priors between Over- and Under-parameterization. Trans. Mach. Learn. Res. 2023 (2023) - [j44]Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian:
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. Trans. Mach. Learn. Res. 2023 (2023) - [j43]Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7099-7113 (2023) - [c276]Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Safeguarded Learned Convex Optimization. AAAI 2023: 7848-7855 - [c275]Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. AAAI 2023: 7893-7901 - [c274]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: 8360-8368 - [c273]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: 8208-8222 - [c272]Hongru Yang, Zhangyang Wang:
On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks. AISTATS 2023: 1513-1553 - [c271]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. AISTATS 2023: 9807-9825 - [c270]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: 745-750 - [c269]Wuyang Chen, Wei Huang, Zhangyang Wang:
"No Free Lunch" in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization. AutoML 2023: 14/1-29 - [c268]Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue:
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training. CVPR 2023: 46-55 - [c267]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: 2238-2247 - [c266]Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang:
NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views. CVPR 2023: 4479-4489 - [c265]Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang:
Accelerable Lottery Tickets with the Mixed-Precision Quantization. CVPR Workshops 2023: 4604-4612 - [c264]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: 5037-5045 - [c263]Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan:
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition. CVPR 2023: 6481-6491 - [c262]Haoming Lu, Hazarapet Tunanyan, Kai Wang, Shant Navasardyan, Zhangyang Wang, Humphrey Shi:
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models to Learn Any Unseen Style. CVPR 2023: 14267-14276 - [c261]Stefan Abi-Karam,