Wang, Yezhen

8 publications

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 and Improving Training-Free Loss-Based Diffusion Guidance Yifei Shen, Xinyang Jiang, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li

ICLR 2023 Sparse Mixture-of-Experts Are Domain Generalizable Learners Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

AAAI 2022 Invariant Information Bottleneck for Domain Generalization Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

NeurIPSW 2022 Sparse Mixture-of-Experts Are Domain Generalizable Learners Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

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

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

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