Yezhen Wang - RankMe

26 papers A* 9Misc 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bias-Variance Trade-Off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. SIAM J. Sci. Comput. Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George E. Karniadakis, Kenji Kawaguchi
2025	Misc	`conf`	DTR: Dynamic Tree-Ring Watermarking Framework for Diffusion-Based Video Generation. ICASSP Shunyang Zeng, Linlin Yang, Jin Yang, Yezhen Wang, Tianyu Gao
2025	J	`jnl`	Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients. CoRR Yezhen Wang, Zhouhao Yang, Brian K. Chen, Fanyi Pu, Bo Li, Tianyu Gao, Kenji Kawaguchi
2024	A*	`conf`	Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization. NeurIPS Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi
2024	J	`jnl`	Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization. CoRR Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi
2024	J	`jnl`	Understanding Training-free Diffusion Guidance: Mechanisms and Limitations. CoRR Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
2024	A*	`conf`	Understanding and Improving Training-free Loss-based Diffusion Guidance. NeurIPS Yifei Shen, Xinyang Jiang, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li
2023	J	`jnl`	Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. CoRR Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi
2023	A*	`conf`	Sparse Mixture-of-Experts are Domain Generalizable Learners. ICLR Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu
2022	—	`conf`	An Improved k-Nearest Centroid Neighbor Classification Method for Incomplete Data. ICCSIE Yezhen Wang
2022	A*	`conf`	Invariant Information Bottleneck for Domain Generalization. AAAI Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
2022	A*	`conf`	SPE: Symmetrical Prompt Enhancement for Fact Probing. EMNLP Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi
2022	J	`jnl`	SPE: Symmetrical Prompt Enhancement for Fact Probing. CoRR Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi
2022	J	`jnl`	Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners. CoRR Bo Li, Jingkang Yang, Jiawei Ren, Yezhen Wang, Ziwei Liu
2022	J	`jnl`	Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One. CoRR Yezhen Wang, Tong Che, Bo Li, Kaitao Song, Hengzhi Pei, Yoshua Bengio, Dongsheng Li
2021	Misc	`conf`	Dual Metric Discriminator for Open Set Video Domain Adaptation. ICASSP Yatian Wang, Xiaolin Song, Yezhen Wang, Pengfei Xu, Runbo Hu, Hua Chai
2021	A*	`conf`	Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. ICCV Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
2021	J	`jnl`	Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. CoRR Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
2021	J	`jnl`	Invariant Information Bottleneck for Domain Generalization. CoRR Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao
2021	A*	`conf`	Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. CVPR Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao
2021	A*	`conf`	ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. AAAI Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
2020	J	`jnl`	Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation. CoRR Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao
2020	J	`jnl`	Rethinking Distributional Matching Based Domain Adaptation. CoRR Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer
2020	J	`jnl`	ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. CoRR Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
2019	A*	`conf`	Perspective-Guided Convolution Networks for Crowd Counting. ICCV Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding
2019	J	`jnl`	Perspective-Guided Convolution Networks for Crowd Counting. CoRR Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding