Xinshuai Dong

61 papers A* 21A 3B 2Journal 30Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
A Sample Efficient Conditional Independence Test in the Presence of Discretization.
ICML
Boyang Sun, Yu Yao, Xinshuai Dong, Zongfang Liu, Tongliang Liu, Yumou Qiu, Kun Zhang
2025 J jnl
A Sample Efficient Conditional Independence Test in the Presence of Discretization.
CoRR
Boyang Sun, Yu Yao, Xinshuai Dong, Zongfang Liu, Tongliang Liu, Yumou Qiu, Kun Zhang
2025 J jnl
Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies.
CoRR
Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025 A conf
Causal Representation Learning from General Environments under Nonparametric Mixing.
AISTATS
Ignavier Ng, Shaoan Xie, Xinshuai Dong, Peter Spirtes, Kun Zhang
2025 A conf
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge.
UMAP
Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025 J jnl
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge.
CoRR
Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025 A* conf
Latent Variable Causal Discovery under Selection Bias.
ICML
Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang
2025 J jnl
Latent Variable Causal Discovery under Selection Bias.
CoRR
Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang
2025 B conf
Learning Hidden Causal Factors from Psychometrics Data Using Distributional Information.
CogSci
Roberto Legaspi, Xinshuai Dong, Donghuo Zeng, Yuewen Sun, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025 J jnl
Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data.
CoRR
Xinshuai Dong, Ignavier Ng, Boyang Sun, Haoyue Dai, Guang-Yuan Hao, Shunxing Fan, Peter Spirtes, Yumou Qiu, Kun Zhang
2025 A* conf
Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data.
ICML
Xinshuai Dong, Ignavier Ng, Boyang Sun, Haoyue Dai, Guang-Yuan Hao, Shunxing Fan, Peter Spirtes, Yumou Qiu, Kun Zhang
2025 J jnl
Representation Interventions Enable Lifelong Unstructured Knowledge Control.
CoRR
Xuyuan Liu, Zhengzhang Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Shengyu Chen, Haoyu Wang, Yujun Yan, Haifeng Chen
2025 J jnl
Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models.
CoRR
Xinshuai Dong, Ignavier Ng, Haoyue Dai, Jiaqi Sun, Xiangchen Song, Peter Spirtes, Kun Zhang
2025 J jnl
Step-Aware Policy Optimization for Reasoning in Diffusion Large Language Models.
CoRR
Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang
2025 A* conf
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning.
ICLR
Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang
2025 J jnl
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning.
CoRR
Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang
2025 A conf
Type Information-Assisted Self-Supervised Knowledge Graph Denoising.
AISTATS
Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang
2025 J jnl
Type Information-Assisted Self-Supervised Knowledge Graph Denoising.
CoRR
Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang
2025 A* conf
When Selection Meets Intervention: Additional Complexities in Causal Discovery.
ICLR
Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang
2025 J jnl
When Selection Meets Intervention: Additional Complexities in Causal Discovery.
CoRR
Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang
2024 A* conf
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables.
ICLR
Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2024 A* conf
Causal Temporal Representation Learning with Nonstationary Sparse Transition.
NeurIPS
Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
2024 J jnl
Causal Temporal Representation Learning with Nonstationary Sparse Transition.
CoRR
Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
2024 B conf
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome.
PERSUASIVE
Donghuo Zeng, Roberto Sebastian Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2024 J jnl
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome.
CoRR
Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2024 A* conf
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning.
NeurIPS
Yuewen Sun, Biwei Huang, Yu Yao, Donghuo Zeng, Xinshuai Dong, Songyao Jin, Boyang Sun, Roberto Legaspi, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2024 — conf
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning.
ECCV (80)
Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan
2024 J jnl
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning.
CoRR
Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan
2024 — conf
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion.
ACL (Findings)
Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu
2024 J jnl
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion.
CoRR
Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu
2024 J jnl
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity.
CoRR
Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang
2024 A* conf
On the Parameter Identifiability of Partially Observed Linear Causal Models.
NeurIPS
Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2024 J jnl
On the Parameter Identifiability of Partially Observed Linear Causal Models.
CoRR
Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2024 J jnl
On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors.
CoRR
Xinshuai Dong, Haoyue Dai, Yewen Fan, Songyao Jin, Sathyamoorthy Rajendran, Kun Zhang
2024 A* conf
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
AAAI
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu
2024 A* conf
Score-Based Causal Discovery of Latent Variable Causal Models.
ICML
Ignavier Ng, Xinshuai Dong, Haoyue Dai, Biwei Huang, Peter Spirtes, Kun Zhang
2024 A* conf
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability.
ICLR
Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang
2024 A* conf
Topic Modeling as Multi-Objective Contrastive Optimization.
ICLR
Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu
2024 J jnl
Topic Modeling as Multi-Objective Contrastive Optimization.
CoRR
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu
2023 J jnl
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables.
CoRR
Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2023 — conf
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding.
EMNLP (Findings)
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu
2023 J jnl
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding.
CoRR
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan
2023 A* conf
Effective Neural Topic Modeling with Embedding Clustering Regularization.
ICML
Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, Anh Tuan Luu
2023 J jnl
Effective Neural Topic Modeling with Embedding Clustering Regularization.
CoRR
Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Anh Tuan Luu
2023 — conf
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.
ACL (Findings)
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, Zhen Hai, Lidong Bing, Anh Tuan Luu
2023 J jnl
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.
CoRR
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing
2023 A* conf
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling.
AAAI
Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu
2023 J jnl
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling.
CoRR
Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu
2023 A* conf
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity.
NeurIPS
Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang
2023 J jnl
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
CoRR
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan
2023 A* conf
Temporally Disentangled Representation Learning under Unknown Nonstationarity.
NeurIPS
Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang
2023 J jnl
Temporally Disentangled Representation Learning under Unknown Nonstationarity.
CoRR
Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang
2022 A* conf
Certified Robustness Against Natural Language Attacks by Causal Intervention.
ICML
Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang
2022 J jnl
Certified Robustness Against Natural Language Attacks by Causal Intervention.
CoRR
Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang
2022 A* conf
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning.
EMNLP
Xiaobao Wu, Anh Tuan Luu, Xinshuai Dong
2022 J jnl
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning.
CoRR
Xiaobao Wu, Anh Tuan Luu, Xinshuai Dong
2021 A* conf
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
NeurIPS
Xinshuai Dong, Anh Tuan Luu, Min Lin, Shuicheng Yan, Hanwang Zhang
2021 J jnl
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
CoRR
Xinshuai Dong, Luu Anh Tuan, Min Lin, Shuicheng Yan, Hanwang Zhang
2021 A* conf
Towards Robustness Against Natural Language Word Substitutions.
ICLR
Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu
2021 J jnl
Towards Robustness Against Natural Language Word Substitutions.
CoRR
Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu
2020 — conf
API-Net: Robust Generative Classifier via a Single Discriminator.
ECCV (13)
Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian