Yezhen Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Invariant Representations

Information Bottleneck

Top Venues

Publications

Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
Understanding Training-free Diffusion Guidance: Mechanisms and Limitations. CoRR (2024)
Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization. CoRR (2024)
Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu
Sparse Mixture-of-Experts are Domain Generalizable Learners. ICLR (2023)
Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. CoRR (2023)
Yezhen Wang, Tong Che, Bo Li, Kaitao Song, Hengzhi Pei, Yoshua Bengio, Dongsheng Li
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One. CoRR (2022)
Yezhen Wang
An Improved k-Nearest Centroid Neighbor Classification Method for Incomplete Data. ICCSIE (2022)
Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi
SPE: Symmetrical Prompt Enhancement for Fact Probing. CoRR (2022)
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
Invariant Information Bottleneck for Domain Generalization. AAAI (2022)
Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi
SPE: Symmetrical Prompt Enhancement for Fact Probing. EMNLP (2022)
Bo Li, Jingkang Yang, Jiawei Ren, Yezhen Wang, Ziwei Liu
Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners. CoRR (2022)
Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. CVPR (2021)
Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. AAAI (2021)
Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. ICCV (2021)
Yatian Wang, Xiaolin Song, Yezhen Wang, Pengfei Xu, Runbo Hu, Hua Chai
Dual Metric Discriminator for Open Set Video Domain Adaptation. ICASSP (2021)
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao
Invariant Information Bottleneck for Domain Generalization. CoRR (2021)
Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. CoRR (2021)
Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. CoRR (2020)
Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation. CoRR (2020)
Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer
Rethinking Distributional Matching Based Domain Adaptation. CoRR (2020)
Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding
Perspective-Guided Convolution Networks for Crowd Counting. ICCV (2019)
Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding
Perspective-Guided Convolution Networks for Crowd Counting. CoRR (2019)