Binghui Xie

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Subset Selection

Risk Minimization

Background Information

Top Venues

Publications

Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng
Enhancing Evolving Domain Generalization through Dynamic Latent Representations. AAAI (2024)
Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng
Enhancing Evolving Domain Generalization through Dynamic Latent Representations. CoRR (2024)
Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. CoRR (2024)
Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. ICLR (2024)
Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? CoRR (2023)
Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NeurIPS (2023)
Yongqiang Chen, Binghui Xie, Kaiwen Zhou, Bo Han, Yatao Bian, James Cheng
Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes. CoRR (2023)
Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR (2023)
Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng
Pareto Invariant Risk Minimization. CoRR (2022)
Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs. NeurIPS (2022)
Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. CoRR (2022)
Binghui Xie, Chenhan Jin, Kaiwen Zhou, James Cheng, Wei Meng
An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms. CoRR (2022)
Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. ICML (2022)
Yongqiang Chen, Yonggang Zhang, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
Invariance Principle Meets Out-of-Distribution Generalization on Graphs. CoRR (2022)
Qiang Sun, Binghui Xie, Yanwei Fu
Second Order Enhanced Multi-glimpse Attention in Visual Question Answering. ACCV (4) (2020)