Binghui Xie - RankMe

18 papers A* 8Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Predicting drug responses of unseen cell types through transfer learning with foundation models. Nat. Comput. Sci. Yixuan Wang, Xinyuan Liu, Yimin Fan, Binghui Xie, James Cheng, Kam Chung Wong, Pak Hang Peter Cheung, Irwin King, Yu Li
2025	A*	`conf`	Federated Domain Generalization with Decision Insight Matrix. IJCAI Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng
2024	A*	`conf`	Enhancing Evolving Domain Generalization through Dynamic Latent Representations. AAAI Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng
2024	J	`jnl`	Enhancing Evolving Domain Generalization through Dynamic Latent Representations. CoRR Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng
2024	A*	`conf`	Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. ICLR Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
2024	J	`jnl`	Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. CoRR Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
2024	A*	`conf`	HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection. NeurIPS Binghui Xie, Yixuan Wang, Yongqiang Chen, Kaiwen Zhou, Yu Li, Wei Meng, James Cheng
2023	A*	`conf`	Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NeurIPS Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
2023	J	`jnl`	Does Invariant Graph Learning via Environment Augmentation Learn Invariance? CoRR Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
2023	A*	`conf`	Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng
2023	J	`jnl`	Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes. CoRR Yongqiang Chen, Binghui Xie, Kaiwen Zhou, Bo Han, Yatao Bian, James Cheng
2022	J	`jnl`	An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms. CoRR Binghui Xie, Chenhan Jin, Kaiwen Zhou, James Cheng, Wei Meng
2022	A*	`conf`	Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. ICML Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
2022	J	`jnl`	Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. CoRR Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
2022	J	`jnl`	Invariance Principle Meets Out-of-Distribution Generalization on Graphs. CoRR Yongqiang Chen, Yonggang Zhang, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
2022	A*	`conf`	Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs. NeurIPS Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
2022	J	`jnl`	Pareto Invariant Risk Minimization. CoRR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng
2020	—	`conf`	Second Order Enhanced Multi-glimpse Attention in Visual Question Answering. ACCV (4) Qiang Sun, Binghui Xie, Yanwei Fu