How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning. - Xinlei Pan; Weiyao Wang 001; Xiaoshuai Zhang; Bo Li 026; Jinfeng Yi; Dawn Song (AAMAS, 2019)

Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization. - Rong Ge 001; Zhize Li; Weiyao Wang 001; Xiang Wang 011 (COLT, 2019)

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning. - Xinlei Pan; Weiyao Wang 001; Xiaoshuai Zhang; Bo Li 026; Jinfeng Yi; Dawn Song (CoRR, 2019)

What Makes Training Multi-Modal Networks Hard? - Weiyao Wang 001; Du Tran; Matt Feiszli (CoRR, 2019)

What Makes Training Multi-Modal Classification Networks Hard? - Weiyao Wang 001; Du Tran; Matt Feiszli (CVPR, 2020)

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. - Weiyao Wang 001; Matt Feiszli; Heng Wang; Du Tran (ICCV, 2021)

Generic Event Boundary Detection: A Benchmark for Event Segmentation. - Mike Zheng Shou; Stan Weixian Lei; Weiyao Wang 001; Deepti Ghadiyaram; Matt Feiszli (ICCV, 2021)

Generic Event Boundary Detection: A Benchmark for Event Segmentation. - Mike Zheng Shou; Deepti Ghadiyaram; Weiyao Wang 001; Matt Feiszli (CoRR, 2021)

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. - Weiyao Wang 001; Matt Feiszli; Heng Wang; Jitendra Malik; Du Tran (CVPR, 2022)

SiLK: Simple Learned Keypoints. - Pierre Gleize; Weiyao Wang 001; Matt Feiszli (ICCV, 2023)

Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations. - Xingyu Chen; Weiyao Wang 001; Hao Tang; Matt Feiszli (NeurIPS, 2023)

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. - Hao Tang; Kevin J. Liang; Kristen Grauman; Matt Feiszli; Weiyao Wang 001 (NeurIPS, 2023)

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization. - Weiyao Wang 001; Pierre Gleize; Hao Tang; Xingyu Chen; Kevin J. Liang; Matt Feiszli (CVPR, 2024)

Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. - Tarun Kalluri; Weiyao Wang 001; Heng Wang; Manmohan Chandraker; Lorenzo Torresani; Du Tran (CVPR Workshops, 2024)

ADen: Adaptive Density Representations for Sparse-View Camera Pose Estimation. - Hao Tang; Weiyao Wang 001; Pierre Gleize; Matt Feiszli (ECCV (62), 2024)

3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences. - Anh Thai; Weiyao Wang 001; Hao Tang; Stefan Stojanov; James M. Rehg; Matt Feiszli (ECCV (38), 2024)

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences. - Anh Thai; Weiyao Wang 001; Hao Tang; Stefan Stojanov; Matt Feiszli; James M. Rehg (CoRR, 2024)

OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB. - Yunzhi Lin; Yipu Zhao; Fu-Jen Chu; Xingyu Chen; Weiyao Wang 001; Hao Tang; Patricio A. Vela; Matt Feiszli; Kevin J. Liang (CoRR, 2024)

HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models. - Mingzhen Huang; Fu-Jen Chu; Bugra Tekin; Kevin J. Liang; Haoyu Ma; Weiyao Wang 001; Xingyu Chen; Pierre Gleize; Hongfei Xue; Siwei Lyu; Kris Kitani; Matt Feiszli; et al. (CVPR, 2025)

VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment. - Wenyan Cong; Kevin Wang; Jiahui Lei; Colton Stearns; Yuanhao Cai; Dilin Wang; Rakesh Ranjan; Matt Feiszli; Leonidas J. Guibas; Zhangyang Wang; Weiyao Wang 001; Zhiwen Fan (CoRR, 2025)

Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models. - Runsen Xu; Weiyao Wang 001; Hao Tang; Xingyu Chen; Xiaodong Wang; Fu-Jen Chu; Dahua Lin; Matt Feiszli; Kevin J. Liang (CoRR, 2025)