Second Order Enhanced Multi-glimpse Attention in Visual Question Answering. - Qiang Sun; Binghui Xie; Yanwei Fu 001 (ACCV (4), 2020)

Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. - Ruize Gao; Jiongxiao Wang; Kaiwen Zhou; Feng Liu 003; Binghui Xie; Gang Niu 001; Bo Han 003; James Cheng (ICML, 2022)

Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs. - Yongqiang Chen 002; Yonggang Zhang 003; Yatao Bian; Han Yang 002; Kaili Ma 001; Binghui Xie; Tongliang Liu; Bo Han 003; James Cheng (NeurIPS, 2022)

Invariance Principle Meets Out-of-Distribution Generalization on Graphs. - Yongqiang Chen 002; Yonggang Zhang 003; Han Yang 002; Kaili Ma 001; Binghui Xie; Tongliang Liu; Bo Han 003; James Cheng (CoRR, 2022)

An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms. - Binghui Xie; Chenhan Jin; Kaiwen Zhou; James Cheng; Wei Meng 001 (CoRR, 2022)

Pareto Invariant Risk Minimization. - Yongqiang Chen 002; Kaiwen Zhou; Yatao Bian; Binghui Xie; Kaili Ma 001; Yonggang Zhang 003; Han Yang 002; Bo Han 003; James Cheng (CoRR, 2022)

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. - Yongqiang Chen 002; Kaiwen Zhou; Yatao Bian; Binghui Xie; Bingzhe Wu; Yonggang Zhang 003; Kaili Ma 001; Han Yang 002; Peilin Zhao; Bo Han 003; James Cheng (ICLR, 2023)

Does Invariant Graph Learning via Environment Augmentation Learn Invariance? - Yongqiang Chen 002; Yatao Bian; Kaiwen Zhou; Binghui Xie; Bo Han 003; James Cheng (NeurIPS, 2023)

Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes. - Yongqiang Chen 002; Binghui Xie; Kaiwen Zhou; Bo Han 003; Yatao Bian; James Cheng (CoRR, 2023)

Enhancing Evolving Domain Generalization through Dynamic Latent Representations. - Binghui Xie; Yongqiang Chen 002; Jiaqi Wang 012; Kaiwen Zhou; Bo Han 003; Wei Meng 001; James Cheng (AAAI, 2024)

Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. - Binghui Xie; Yatao Bian; Kaiwen Zhou; Yongqiang Chen 002; Peilin Zhao; Bo Han 003; Wei Meng 001; James Cheng (ICLR, 2024)

HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection. - Binghui Xie; Yixuan Wang; Yongqiang Chen 002; Kaiwen Zhou; Yu Li; Wei Meng 001; James Cheng (NeurIPS, 2024)