API-Net: Robust Generative Classifier via a Single Discriminator. - Xinshuai Dong; Hong Liu 009; Rongrong Ji; Liujuan Cao; Qixiang Ye; Jianzhuang Liu; Qi Tian 001 (ECCV (13), 2020)

Towards Robustness Against Natural Language Word Substitutions. - Xinshuai Dong; Anh Tuan Luu; Rongrong Ji; Hong Liu 009 (ICLR, 2021)

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

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning. - Xiaobao Wu; Anh Tuan Luu; Xinshuai Dong (EMNLP, 2022)

Certified Robustness Against Natural Language Attacks by Causal Intervention. - Haiteng Zhao; Chang Ma; Xinshuai Dong; Anh Tuan Luu; Zhi-Hong Deng 001; Hanwang Zhang (ICML, 2022)

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. - Xiaobao Wu; Xinshuai Dong; Thong Nguyen 003; Chaoqun Liu; Liangming Pan; Anh Tuan Luu (AAAI, 2023)

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Cong-Duy Nguyen; Zhen Hai; Lidong Bing; Anh Tuan Luu (ACL (Findings), 2023)

DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Cong-Duy Nguyen; See-Kiong Ng; Anh Tuan Luu (EMNLP (Findings), 2023)

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

On the Identifiability of Sparse ICA without Assuming Non-Gaussianity. - Ignavier Ng; Yujia Zheng 001; Xinshuai Dong; Kun Zhang 001 (NeurIPS, 2023)

Temporally Disentangled Representation Learning under Unknown Nonstationarity. - Xiangchen Song; Weiran Yao; Yewen Fan; Xinshuai Dong; Guangyi Chen 002; Juan Carlos Niebles; Eric P. Xing; Kun Zhang 001 (NeurIPS, 2023)

Effective Neural Topic Modeling with Embedding Clustering Regularization. - Xiaobao Wu; Xinshuai Dong; Thong Nguyen 003; Anh Tuan Luu (CoRR, 2023)

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Khoi Le; Zhiyuan Hu; Cong-Duy Nguyen; See-Kiong Ng; Luu Anh Tuan (CoRR, 2023)

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Khoi M. Le; Zhiyuan Hu; Cong-Duy Nguyen; See-Kiong Ng; Anh Tuan Luu (AAAI, 2024)

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. - Xiaobao Wu; Xinshuai Dong; Liangming Pan; Thong Nguyen 003; Anh Tuan Luu (ACL (Findings), 2024)

Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. - Thong Nguyen 003; Yi Bin; Xiaobao Wu; Xinshuai Dong; Zhiyuan Hu; Khoi Le; Cong-Duy Nguyen; See-Kiong Ng; Luu Anh Tuan (ECCV (80), 2024)

A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. - Xinshuai Dong; Biwei Huang; Ignavier Ng; Xiangchen Song; Yujia Zheng 001; Songyao Jin; Roberto Legaspi; Peter Spirtes; Kun Zhang 001 (ICLR, 2024)

Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability. - Songyao Jin; Feng Xie 002; Guangyi Chen 002; Biwei Huang; Zhengming Chen; Xinshuai Dong; Kun Zhang 001 (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 (ICLR, 2024)

Score-Based Causal Discovery of Latent Variable Causal Models. - Ignavier Ng; Xinshuai Dong; Haoyue Dai; Biwei Huang; Peter Spirtes; Kun Zhang 001 (ICML, 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 001 (NeurIPS, 2024)

Causal Temporal Representation Learning with Nonstationary Sparse Transition. - Xiangchen Song; Zijian Li 001; Guangyi Chen 002; Yujia Zheng 001; Yewen Fan; Xinshuai Dong; Kun Zhang 001 (NeurIPS, 2024)

Identifying Latent State-Transition Processes for Individualized Reinforcement Learning. - Yuewen Sun; Biwei Huang; Yu Yao 005; Donghuo Zeng; Xinshuai Dong; Songyao Jin; Boyang Sun; Roberto Legaspi; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (NeurIPS, 2024)

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 001 (PERSUASIVE, 2024)

On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors. - Xinshuai Dong; Haoyue Dai; Yewen Fan; Songyao Jin; Sathyamoorthy Rajendran; Kun Zhang 001 (CoRR, 2024)

Topic Modeling as Multi-Objective Contrastive Optimization. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Cong-Duy T. Nguyen; See-Kiong Ng; Anh Tuan Luu (CoRR, 2024)

Causal Representation Learning from General Environments under Nonparametric Mixing. - Ignavier Ng; Shaoan Xie; Xinshuai Dong; Peter Spirtes; Kun Zhang 001 (AISTATS, 2025)

Type Information-Assisted Self-Supervised Knowledge Graph Denoising. - Jiaqi Sun; Yujia Zheng 001; Xinshuai Dong; Haoyue Dai; Kun Zhang 001 (AISTATS, 2025)

Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. - Zijian Li 001; Shunxing Fan; Yujia Zheng 001; Ignavier Ng; Shaoan Xie; Guangyi Chen 002; Xinshuai Dong; Ruichu Cai; Kun Zhang 001 (ICLR, 2025)

When Selection Meets Intervention: Additional Complexities in Causal Discovery. - Haoyue Dai; Ignavier Ng; Jianle Sun; Zeyu Tang 002; Gongxu Luo; Xinshuai Dong; Peter Spirtes; Kun Zhang 001 (ICLR, 2025)

Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge. - Donghuo Zeng; Roberto Legaspi; Yuewen Sun; Xinshuai Dong; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (UMAP, 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 001 (CoRR, 2025)

Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies. - Donghuo Zeng; Roberto Legaspi; Yuewen Sun; Xinshuai Dong; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (CoRR, 2025)

A Sample Efficient Conditional Independence Test in the Presence of Discretization. - Boyang Sun; Yu Yao 005; Xinshuai Dong; Zongfang Liu; Tongliang Liu; Yumou Qiu; Kun Zhang 001 (CoRR, 2025)