| 2026 | ACL | Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs. | Xuyuan Liu, Shengyu Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Haoyu Wang, Yujun Yan, Haifeng Chen, Zhengzhang Chen |
| 2026 | ACL | Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards. | Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang |
| 2025 | AISTATS | Causal Representation Learning from General Environments under Nonparametric Mixing. | Ignavier Ng, Shaoan Xie, Xinshuai Dong, Peter Spirtes, Kun Zhang |
| 2025 | AISTATS | Type Information-Assisted Self-Supervised Knowledge Graph Denoising. | Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang |
| 2025 | CogSci | Learning Hidden Causal Factors from Psychometrics Data Using Distributional Information. | Roberto Legaspi, Xinshuai Dong, Donghuo Zeng, Yuewen Sun, Kazushi Ikeda, Peter Spirtes, Kun Zhang |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | Latent Variable Causal Discovery under Selection Bias. | Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2024 | AAAI | 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 |
| 2024 | ACL | Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. | Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu |
| 2024 | ECCV | Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. | Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Topic Modeling as Multi-Objective Contrastive Optimization. | Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2024 | ICML | Score-Based Causal Discovery of Latent Variable Causal Models. | Ignavier Ng, Xinshuai Dong, Haoyue Dai, Biwei Huang, Peter Spirtes, Kun Zhang |
| 2024 | Persuasive | Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. | Donghuo Zeng, Roberto Sebastian Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang |
| 2023 | AAAI | InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. | Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu |
| 2023 | ACL | Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. | Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, Zhen Hai, Lidong Bing, Anh Tuan Luu |
| 2023 | EMNLP | DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. | Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2023 | ICML | Effective Neural Topic Modeling with Embedding Clustering Regularization. | Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, Anh Tuan Luu |
| 2022 | EMNLP | Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning. | Xiaobao Wu, Anh Tuan Luu, Xinshuai Dong |
| 2022 | ICML | Certified Robustness Against Natural Language Attacks by Causal Intervention. | Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang |
| 2021 | ICLR | Towards Robustness Against Natural Language Word Substitutions. | Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu |
| 2020 | ECCV | API-Net: Robust Generative Classifier via a Single Discriminator. | Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian |