Dong, Xinshuai

24 publications

ICML 2025 A Sample Efficient Conditional Independence Test in the Presence of Discretization Boyang Sun, Yu Yao, Xinshuai Dong, Zongfang Liu, Tongliang Liu, Yumou Qiu, Kun Zhang

AISTATS 2025 Causal Representation Learning from General Environments Under Nonparametric Mixing Ignavier Ng, Shaoan Xie, Xinshuai Dong, Peter Spirtes, Kun Zhang

ICML 2025 Latent Variable Causal Discovery Under Selection Bias Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang

ICML 2025 Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data Xinshuai Dong, Ignavier Ng, Boyang Sun, Haoyue Dai, Guang-Yuan Hao, Shunxing Fan, Peter Spirtes, Yumou Qiu, Kun Zhang

ICLR 2025 Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang

AISTATS 2025 Type Information-Assisted Self-Supervised Knowledge Graph Denoising Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang

ICLR 2025 When Selection Meets Intervention: Additional Complexities in Causal Discovery Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang

ICLR 2024 A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang

NeurIPS 2024 Causal Temporal Representation Learning with Nonstationary Sparse Transition Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang

NeurIPS 2024 Identifying Latent State-Transition Processes for Individualized Reinforcement Learning Yuewen Sun, Biwei Huang, Yu Yao, Donghuo Zeng, Xinshuai Dong, Songyao Jin, Boyang Sun, Roberto Legaspi, Kazushi Ikeda, Peter Spirtes, Kun Zhang

ECCV 2024 Meta-Optimized Angular Margin Contrastive Framework for Video-Language Representation Learning Thong Thanh Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi M Le, Cong-Duy Nguyen, See Kiong Ng, Anh Tuan Luu

NeurIPS 2024 On the Parameter Identifiability of Partially Observed Linear Causal Models Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang

AAAI 2024 READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu

ICML 2024 Score-Based Causal Discovery of Latent Variable Causal Models Ignavier Ng, Xinshuai Dong, Haoyue Dai, Biwei Huang, Peter Spirtes, Kun Zhang

ICLR 2024 Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang

ICLR 2024 Topic Modeling as Multi-Objective Contrastive Optimization Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu

ICML 2023 Effective Neural Topic Modeling with Embedding Clustering Regularization Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, Anh Tuan Luu

AAAI 2023 InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu

NeurIPS 2023 On the Identifiability of Sparse ICA Without Assuming Non-Gaussianity Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang

NeurIPS 2023 Temporally Disentangled Representation Learning Under Unknown Nonstationarity Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang

ICML 2022 Certified Robustness Against Natural Language Attacks by Causal Intervention Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang

NeurIPS 2021 How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? Xinshuai Dong, Anh Tuan Luu, Min Lin, Shuicheng Yan, Hanwang Zhang

ICLR 2021 Towards Robustness Against Natural Language Word Substitutions Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu

ECCV 2020 API-Net: Robust Generative Classifier via a Single Discriminator Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian