Thai, My T.

25 publications

NeurIPS 2025 Advancing Interpretability of CLIP Representations with Concept Surrogate Model Nhat Hoang-Xuan, Xiyuan Wei, Wanli Xing, Tianbao Yang, My T. Thai

ICCV 2025 ConstStyle: Robust Domain Generalization with Unified Style Transformation Nam Duong Tran, Nam Nguyen Phuong, Hieu H. Pham, Phi Le Nguyen, My T. Thai

JMLR 2025 EMaP: Explainable AI with Manifold-Based Perturbations Minh Nhat Vu, Huy Quang Mai, My T. Thai

NeurIPS 2025 Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-Scale QoS Degradation Nguyen Hoang Khoi Do, Bach Ngo, Youval Kashuv, Canh V. Pham, Hanghang Tong, My T. Thai

AAAI 2025 Metric-Agnostic Continual Learning for Sustainable Group Fairness Heng Lian, Chen Zhao, Zhong Chen, Xingquan Zhu, My T. Thai, Yi He

ICML 2025 Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws Xiyuan Wei, Ming Lin, Fanjiang Ye, Fengguang Song, Liangliang Cao, My T. Thai, Tianbao Yang

ICLR 2025 NeurFlow: Interpreting Neural Networks Through Neuron Groups and Functional Interactions Tue Minh Cao, Nhat Hoang-Xuan, Hieu Pham, Phi Le Nguyen, My T. Thai

TMLR 2025 Stochastic Primal-Dual Double Block-Coordinate for Two- Way Partial AUC Maximization Linli Zhou, Bokun Wang, My T. Thai, Tianbao Yang

ICLR 2025 Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen Hoang Khoi Do, Truc Nguyen, Malik Hassanaly, Raed Alharbi, Jung Taek Seo, My T. Thai

ICML 2025 Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models Quan Minh Nguyen, Minh N. Vu, Truc Nguyen, My T. Thai

AAAI 2025 XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, Zhe Jiang

AISTATS 2024 Analysis of Privacy Leakage in Federated Large Language Models Minh Vu, Truc Nguyen, Tre’ Jeter, My T. Thai

AISTATS 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai

NeurIPS 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data Pei-Yau Weng, Minh Hoang, Lam M. Nguyen, My T. Thai, Tsui-Wei Weng, Trong Nghia Hoang

AISTATS 2023 Active Membership Inference Attack Under Local Differential Privacy in Federated Learning Truc Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai

ICML 2023 Deep Graph Representation Learning and Optimization for Influence Maximization Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao

IJCAI 2023 Linear Query Approximation Algorithms for Non-Monotone Submodular Maximization Under Knapsack Constraint Canh V. Pham, Tan D. Tran, Dung K. T. Ha, My T. Thai

AISTATS 2023 On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network Hongchang Gao, Bin Gu, My T. Thai

AAAI 2023 XRand: Differentially Private Defense Against Explanation-Guided Attacks Truc D. T. Nguyen, Phung Lai, Hai Phan, My T. Thai

IJCAI 2022 Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint Lan N. Nguyen, My T. Thai

AAAI 2021 Minimum Robust Multi-Submodular Cover for Fairness Lan N. Nguyen, My T. Thai

NeurIPS 2020 PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks Minh Vu, My T. Thai

ICML 2020 Scalable Differential Privacy with Certified Robustness in Adversarial Learning Hai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou

ICML 2020 Streaming K-Submodular Maximization Under Noise Subject to Size Constraint Lan Nguyen, My T. Thai

IJCAI 2019 Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai