Perspective-Guided Convolution Networks for Crowd Counting. - Zhaoyi Yan; Yuchen Yuan; Wangmeng Zuo; Xiao Tan 001; Yezhen Wang; Shilei Wen; Errui Ding (ICCV, 2019)

Rethinking Distributional Matching Based Domain Adaptation. - Bo Li 080; Yezhen Wang; Tong Che; Shanghang Zhang; Sicheng Zhao; Pengfei Xu 013; Wei Zhou; Yoshua Bengio; Kurt Keutzer (CoRR, 2020)

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. - Sicheng Zhao; Yezhen Wang; Bo Li 080; Bichen Wu; Yang Gao 029; Pengfei Xu 013; Trevor Darrell; Kurt Keutzer (AAAI, 2021)

Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. - Bo Li 080; Yezhen Wang; Shanghang Zhang; Dongsheng Li 002; Kurt Keutzer; Trevor Darrell; Han Zhao 002 (CVPR, 2021)

Dual Metric Discriminator for Open Set Video Domain Adaptation. - Yatian Wang; Xiaolin Song; Yezhen Wang; Pengfei Xu 013; Runbo Hu; Hua Chai (ICASSP, 2021)

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. - Yezhen Wang; Bo Li 080; Tong Che; Kaiyang Zhou; Ziwei Liu 002; Dongsheng Li 002 (ICCV, 2021)

Invariant Information Bottleneck for Domain Generalization. - Bo Li 080; Yifei Shen; Yezhen Wang; Wenzhen Zhu; Colorado J. Reed; Jun Zhang 004; Dongsheng Li 002; Kurt Keutzer; Han Zhao 002 (CoRR, 2021)

Invariant Information Bottleneck for Domain Generalization. - Bo Li 080; Yifei Shen; Yezhen Wang; Wenzhen Zhu; Colorado Reed; Dongsheng Li 002; Kurt Keutzer; Han Zhao 002 (AAAI, 2022)

SPE: Symmetrical Prompt Enhancement for Fact Probing. - Yiyuan Li; Tong Che; Yezhen Wang; Zhengbao Jiang; Caiming Xiong; Snigdha Chaturvedi (EMNLP, 2022)

An Improved k-Nearest Centroid Neighbor Classification Method for Incomplete Data. - Yezhen Wang (ICCSIE, 2022)

Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners. - Bo Li 080; Jingkang Yang; Jiawei Ren 001; Yezhen Wang; Ziwei Liu 002 (CoRR, 2022)

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One. - Yezhen Wang; Tong Che; Bo Li 080; Kaitao Song; Hengzhi Pei; Yoshua Bengio; Dongsheng Li 002 (CoRR, 2022)

Sparse Mixture-of-Experts are Domain Generalizable Learners. - Bo Li 080; Yifei Shen; Jingkang Yang; Yezhen Wang; Jiawei Ren 001; Tong Che; Jun Zhang 004; Ziwei Liu 002 (ICLR, 2023)

Understanding and Improving Training-free Loss-based Diffusion Guidance. - Yifei Shen; Xinyang Jiang; Yifan Yang 004; Yezhen Wang; Dongqi Han; Dongsheng Li 002 (NeurIPS, 2024)

Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization. - Qianli Shen; Yezhen Wang; Zhouhao Yang; Xiang Li; Haonan Wang; Yang Zhang; Jonathan Scarlett; Zhanxing Zhu; Kenji Kawaguchi (NeurIPS, 2024)

Understanding Training-free Diffusion Guidance: Mechanisms and Limitations. - Yifei Shen; Xinyang Jiang; Yezhen Wang; Yifan Yang 004; Dongqi Han; Dongsheng Li 002 (CoRR, 2024)

DTR: Dynamic Tree-Ring Watermarking Framework for Diffusion-Based Video Generation. - Shunyang Zeng; Linlin Yang; Jin Yang; Yezhen Wang; Tianyu Gao (ICASSP, 2025)

Bias-Variance Trade-Off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. - Zheyuan Hu 002; Zhouhao Yang; Yezhen Wang; George E. Karniadakis; Kenji Kawaguchi (SIAM J. Sci. Comput., 2025)

Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients. - Yezhen Wang; Zhouhao Yang; Brian K. Chen; Fanyi Pu; Bo Li; Tianyu Gao; Kenji Kawaguchi (CoRR, 2025)