About Me

I am currently a Ph.D. student at Carnegie Mellon University. I am fortunate to be advised by Prof Kun Zhang and Prof Peter Spirtes. I was fortunate to be advised by Prof Shuicheng Yan, Prof Hanwang Zhang, Prof Anh Tuan Luu, and Prof Rongrong Ji.

Publications

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

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

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

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

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

[AAAI 2023] Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liang-Ming Pan, Anh Tuan Luu. InfoCTM: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling.

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

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

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

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

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

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

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

[ICLR 2024] Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu. Topic modeling as multi-objective optimization with Setwise Contrastive Learning.

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

Educations

Carnegie Mellon University

Nanyang Technological University

Xiamen University

Experiences

Central Media Technology Institute, HUAWEI TECHNOLOGIES CO. LTD

Sea AI Lab, SEA LTD

Services

ICML 2022,2023,2024 Reviewer NeurIPS 2021,2022,2023 Reviewer ICLR 2022,2023,2024 Reviewer

Contact

Email: dongxinshuai[AT]outlook[DOT]com, xinshuai001[AT]e[DOT]ntu[DOT]edu[DOT]sg, xinshuad[AT]andrew[DOT]cmu[DOT]edu

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