Xinshuai Dong

According to our database, Xinshuai Dong authored at least 42 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Power of Order: Fooling LLMs with Adversarial Table Permutations.

Xinshuai Dong, Haifeng Chen, Xuyuan Liu, Shengyu Chen, Haoyu Wang, Shaoan Xie, Kun Zhang, Zhengzhang Chen

CoRR, May, 2026

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Representation Interventions Enable Lifelong Unstructured Knowledge Control.

Xuyuan Liu, Zhengzhang Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Shengyu Chen, Haoyu Wang, Yujun Yan, Haifeng Chen

CoRR, November, 2025

Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models.

Xinshuai Dong, Ignavier Ng, Haoyue Dai, Jiaqi Sun, Xiangchen Song, Peter Spirtes, Kun Zhang

CoRR, October, 2025

Step-Aware Policy Optimization for Reasoning in Diffusion Large Language Models.

Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang

CoRR, October, 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

CoRR, March, 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

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Latent Variable Causal Discovery under Selection Bias.

Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning Hidden Causal Factors from Psychometrics Data Using Distributional Information.

Roberto Legaspi, Xinshuai Dong, Donghuo Zeng, Yuewen Sun, Kazushi Ikeda, Peter Spirtes, Kun Zhang

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Type Information-Assisted Self-Supervised Knowledge Graph Denoising.

Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Causal Representation Learning from General Environments under Nonparametric Mixing.

Ignavier Ng, Shaoan Xie, Xinshuai Dong, Peter Spirtes, Kun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Topic Modeling as Multi-Objective Contrastive Optimization.

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu

CoRR, 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

CoRR, 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

Proceedings of the Persuasive Technology - 19th International Conference, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Causal Temporal Representation Learning with Nonstationary Sparse Transition.

Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Score-Based Causal Discovery of Latent Variable Causal Models.

Ignavier Ng, Xinshuai Dong, Haoyue Dai, Biwei Huang, Peter Spirtes, Kun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 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, Anh Tuan Luu

Proceedings of the Findings of the Association for Computational Linguistics, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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 Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan

CoRR, 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization.

Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Anh Tuan Luu

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Identifiability of Sparse ICA without Assuming Non-Gaussianity.

Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization.

Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, Anh Tuan Luu

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Certified Robustness Against Natural Language Attacks by Causal Intervention.

Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang

Proceedings of the International Conference on Machine Learning, 2022

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning.

Xiaobao Wu, Anh Tuan Luu, Xinshuai Dong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?

Xinshuai Dong, Anh Tuan Luu, Min Lin, Shuicheng Yan, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Robustness Against Natural Language Word Substitutions.

Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

API-Net: Robust Generative Classifier via a Single Discriminator.

Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian

Proceedings of the Computer Vision - ECCV 2020, 2020