Yezhen Wang

According to our database, Yezhen Wang authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Understanding Training-free Diffusion Guidance: Mechanisms and Limitations.

Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li

CoRR, 2024

2023

Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs.

Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi

CoRR, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One.

Yezhen Wang, Tong Che, Bo Li, Kaitao Song, Hengzhi Pei, Yoshua Bengio, Dongsheng Li

CoRR, 2022

Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners.

Bo Li, Jingkang Yang, Jiawei Ren, Yezhen Wang, Ziwei Liu

CoRR, 2022

An Improved k-Nearest Centroid Neighbor Classification Method for Incomplete Data.

Yezhen Wang

Proceedings of the 7th International Conference on Cyber Security and Information Engineering, 2022

SPE: Symmetrical Prompt Enhancement for Fact Probing.

Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Invariant Information Bottleneck for Domain Generalization.

Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Invariant Information Bottleneck for Domain Generalization.

Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao

CoRR, 2021

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.

Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dual Metric Discriminator for Open Set Video Domain Adaptation.

Yatian Wang, Xiaolin Song, Yezhen Wang, Pengfei Xu, Runbo Hu, Hua Chai

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Rethinking Distributional Matching Based Domain Adaptation.

Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer

CoRR, 2020

2019

Perspective-Guided Convolution Networks for Crowd Counting.

Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019