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Xinshuai Dong
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2020 – today
- 2024
- [c19]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu:
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. AAAI 2024: 18824-18832 - [c18]Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu:
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. ACL (Findings) 2024: 3088-3105 - [c17]Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. ECCV (80) 2024: 77-98 - [c16]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. ICLR 2024 - [c15]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 - [c14]Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu:
Topic Modeling as Multi-Objective Contrastive Optimization. ICLR 2024 - [c13]Ignavier Ng, Xinshuai Dong, Haoyue Dai, Biwei Huang, Peter Spirtes, Kun Zhang:
Score-Based Causal Discovery of Latent Variable Causal Models. ICML 2024 - [c12]Donghuo Zeng, Roberto Sebastian Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang:
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. PERSUASIVE 2024: 287-300 - [i19]Xinshuai Dong, Haoyue Dai, Yewen Fan, Songyao Jin, Sathyamoorthy Rajendran, Kun Zhang:
On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors. CoRR abs/2401.05414 (2024) - [i18]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu:
Topic Modeling as Multi-Objective Contrastive Optimization. CoRR abs/2402.07577 (2024) - [i17]Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang:
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. CoRR abs/2404.13792 (2024) - [i16]Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu:
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. CoRR abs/2405.17957 (2024) - [i15]Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. CoRR abs/2407.03788 (2024) - [i14]Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang:
On the Parameter Identifiability of Partially Observed Linear Causal Models. CoRR abs/2407.16975 (2024) - [i13]Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang:
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity. CoRR abs/2408.10353 (2024) - [i12]Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang:
Causal Temporal Representation Learning with Nonstationary Sparse Transition. CoRR abs/2409.03142 (2024) - 2023
- [c11]Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu:
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. AAAI 2023: 13763-13771 - [c10]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, Zhen Hai, Lidong Bing, Anh Tuan Luu:
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. ACL (Findings) 2023: 1670-1696 - [c9]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu:
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. EMNLP (Findings) 2023: 3635-3649 - [c8]Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, Anh Tuan Luu:
Effective Neural Topic Modeling with Embedding Clustering Regularization. ICML 2023: 37335-37357 - [c7]Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang:
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity. NeurIPS 2023 - [c6]Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang:
Temporally Disentangled Representation Learning under Unknown Nonstationarity. NeurIPS 2023 - [i11]Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu:
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. CoRR abs/2304.03544 (2023) - [i10]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing:
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. CoRR abs/2305.12678 (2023) - [i9]Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Anh Tuan Luu:
Effective Neural Topic Modeling with Embedding Clustering Regularization. CoRR abs/2306.04217 (2023) - [i8]Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang:
Temporally Disentangled Representation Learning under Unknown Nonstationarity. CoRR abs/2310.18615 (2023) - [i7]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. CoRR abs/2312.02549 (2023) - [i6]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. CoRR abs/2312.06950 (2023) - [i5]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. CoRR abs/2312.11001 (2023) - 2022
- [c5]Xiaobao Wu, Anh Tuan Luu, Xinshuai Dong:
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning. EMNLP 2022: 2748-2760 - [c4]Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang:
Certified Robustness Against Natural Language Attacks by Causal Intervention. ICML 2022: 26958-26970 - [i4]Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang:
Certified Robustness Against Natural Language Attacks by Causal Intervention. CoRR abs/2205.12331 (2022) - [i3]Xiaobao Wu, Anh Tuan Luu, Xinshuai Dong:
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning. CoRR abs/2211.12878 (2022) - 2021
- [c3]Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu:
Towards Robustness Against Natural Language Word Substitutions. ICLR 2021 - [c2]Xinshuai Dong, Anh Tuan Luu, Min Lin, Shuicheng Yan, Hanwang Zhang:
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? NeurIPS 2021: 4356-4369 - [i2]Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu:
Towards Robustness Against Natural Language Word Substitutions. CoRR abs/2107.13541 (2021) - [i1]Xinshuai Dong, Luu Anh Tuan, Min Lin, Shuicheng Yan, Hanwang Zhang:
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? CoRR abs/2112.11668 (2021) - 2020
- [c1]Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian:
API-Net: Robust Generative Classifier via a Single Discriminator. ECCV (13) 2020: 379-394
Coauthor Index
aka: Luu Anh Tuan
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