Thanh Nguyen-Tang

47 papers A* 18A 1C 1Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Curvature-Aware Safety Restoration In LLMs Fine-Tuning. Trans. Mach. Learn. Res. Thong Bach, Thanh Nguyen-Tang, Dung Nguyen, Thao Minh Le, Truyen Tran
2025	J	`jnl`	Audio-3DVG: Unified Audio - Point Cloud Fusion for 3D Visual Grounding. CoRR Duc Cao-Dinh, Khai Le-Duc, Anh Dao, Bach Phan Tat, Chris Ngo, Duy M. H. Nguyen, Nguyen X. Khanh, Thanh Nguyen-Tang
2025	J	`jnl`	Curvature-Aware Safety Restoration In LLMs Fine-Tuning. CoRR Thong Bach, Thanh Nguyen-Tang, Dung Nguyen, Thao Minh Le, Truyen Tran
2025	A	`conf`	Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains. WACV Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh
2025	A*	`conf`	Federated Domain Generalization with Latent Space Inversion. ICDM Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta
2025	J	`jnl`	Federated Domain Generalization with Latent Space Inversion. CoRR Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta
2025	A*	`conf`	MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation. EMNLP Khai Le-Duc, Tuyen Tran, Bach Phan Tat, Nguyen Kim Hai Bui, Quan Dang Anh, Hung-Phong Tran, Thanh Thuy Nguyen, Ly Nguyen, Tuan-Minh Phan, Thi Thu Phuong Tran, Chris Ngo, Nguyen X. Khanh, Thanh Nguyen-Tang
2025	J	`jnl`	MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation. CoRR Khai Le-Duc, Tuyen Tran, Bach Phan Tat, Nguyen Kim Hai Bui, Quan Dang, Hung-Phong Tran, Thanh-Thuy Nguyen, Ly Nguyen, Tuan-Minh Phan, Thi Thu Phuong Tran, Chris Ngo, Nguyen X. Khanh, Thanh Nguyen-Tang
2025	—	`conf`	MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder. ACL (6) Khai Le-Duc, Phuc Phan, Tan-Hanh Pham, Bach Phan Tat, Minh-Huong Ngo, Thanh Nguyen-Tang, Truong-Son Hy
2025	A*	`conf`	Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning. ICLR Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan M. Tran, David Leo Wright Hall, Cheongwoong Kang, Jaesik Choi
2025	J	`jnl`	Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning. CoRR Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan M. Tran, David Hall, Cheongwoong Kang, Jaesik Choi
2025	J	`jnl`	On The Statistical Complexity of Offline Decision-Making. CoRR Thanh Nguyen-Tang, Raman Arora
2025	J	`jnl`	One-Layer Transformers are Provably Optimal for In-context Reasoning and Distributional Association Learning in Next-Token Prediction Tasks. CoRR Quan Nguyen, Thanh Nguyen-Tang
2025	J	`jnl`	Online Optimization for Offline Safe Reinforcement Learning. CoRR Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Janardhan Rao Doppa
2025	A*	`conf`	Policy-Regret Minimization in Markov Games with Function Approximation. ICML Thanh Nguyen-Tang, Raman Arora
2025	J	`jnl`	S-Chain: Structured Visual Chain-of-Thought For Medicine. CoRR Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh, Tien-Phat Nguyen, Nghiem Tuong Diep, An Ngo, Tung Vu, Trinh Vuong, Anh-Tien Nguyen, Mau Nguyen, Van Trung Hoang, Khai-Nguyen Nguyen, Hy Nguyen, Chris Ngo, Anji Liu, Nhat Ho, Anne-Christin Hauschild, Khanh Xuan Nguyen, Thanh Nguyen-Tang, Pengtao Xie, Daniel Sonntag, James Zou, Mathias Niepert, Anh Totti Nguyen
2025	A*	`conf`	Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. ICLR Nguyen Hung-Quang, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan
2024	A*	`conf`	Adversarially Robust Multi-task Representation Learning. NeurIPS Austin Watkins, Thanh Nguyen-Tang, Enayat Ullah, Raman Arora
2024	A*	`conf`	Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms. NeurIPS Thanh Nguyen-Tang, Raman Arora
2024	J	`jnl`	Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms. CoRR Thanh Nguyen-Tang, Raman Arora
2024	A*	`conf`	Offline Multitask Representation Learning for Reinforcement Learning. NeurIPS Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng, Raman Arora, Mengdi Wang, Ming Yin, Doina Precup
2024	J	`jnl`	Offline Multitask Representation Learning for Reinforcement Learning. CoRR Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng, Raman Arora, Mengdi Wang, Ming Yin, Doina Precup
2024	J	`jnl`	On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond. CoRR Thanh Nguyen-Tang, Raman Arora
2024	A*	`conf`	On The Statistical Complexity of Offline Decision-Making. ICML Thanh Nguyen-Tang, Raman Arora
2024	J	`jnl`	Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. CoRR Quang H. Nguyen, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan
2023	J	`jnl`	A Cosine Similarity-based Method for Out-of-Distribution Detection. CoRR Hieu Ngoc Nguyen, Nguyen Hung-Quang, The-Anh Ta, Thanh Nguyen-Tang, Khoa D. Doan, Hoang Thanh-Tung
2023	C	`conf`	Domain Generalization with Interpolation Robustness. ACML Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta
2023	J	`jnl`	Global Contrastive Learning for Long-Tailed Classification. Trans. Mach. Learn. Res. Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh Nguyen-Tang
2023	A*	`conf`	Multi-Agent Learning with Heterogeneous Linear Contextual Bandits. NeurIPS Anh Do, Thanh Nguyen-Tang, Raman Arora
2023	A*	`conf`	On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. AAAI Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
2023	A*	`conf`	On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond. NeurIPS Thanh Nguyen-Tang, Raman Arora
2023	A*	`conf`	Optimistic Rates for Multi-Task Representation Learning. NeurIPS Austin Watkins, Enayat Ullah, Thanh Nguyen-Tang, Raman Arora
2023	J	`jnl`	Provably Efficient Neural Offline Reinforcement Learning via Perturbed Rewards. CoRR Thanh Nguyen-Tang, Raman Arora
2023	—	`conf`	SigFormer: Signature Transformers for Deep Hedging. ICAIF Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Toan M. Tran, Jaesik Choi
2023	J	`jnl`	SigFormer: Signature Transformers for Deep Hedging. CoRR Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Toan M. Tran, Jaesik Choi
2023	A*	`conf`	TIPI: Test Time Adaptation with Transformation Invariance. CVPR A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H. S. Torr
2023	A*	`conf`	VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation. ICLR Thanh Nguyen-Tang, Raman Arora
2022	A*	`conf`	Learning Fractional White Noises in Neural Stochastic Differential Equations. NeurIPS Anh Tong, Thanh Nguyen-Tang, Toan M. Tran, Jaesik Choi
2022	A*	`conf`	Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. ICLR Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh
2022	J	`jnl`	On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. CoRR Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
2022	J	`jnl`	On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency. CoRR Thanh Nguyen-Tang
2022	J	`jnl`	On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces. Trans. Mach. Learn. Res. Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh
2022	J	`jnl`	Two-Stage Neural Contextual Bandits for Personalised News Recommendation. CoRR Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong
2021	J	`jnl`	Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support. CoRR Hung Tran-The, Sunil Gupta, Thanh Nguyen-Tang, Santu Rana, Svetha Venkatesh
2021	A*	`conf`	Distributional Reinforcement Learning via Moment Matching. AAAI Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh
2021	J	`jnl`	Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. CoRR Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh
2021	J	`jnl`	On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks. CoRR Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh