Demo + Code and Datasets Download (Please cite my related publications)

A Survey of Machine Unlearning. [Code] [Cite] (800+ stars, 40K+ accesses)

Our work has been cited in the International AI Safety Report 2025 (chaired by Turing-award winner Yoshua Bengio and written by top 100 AI experts) in which machine unlearning is a pioneering paradigm to remove sensitive information or harmful data from trained AI models.

Privacy-Preserving Explainable AI: A Survey. [Code] [Cite1] [Cite2]
LLM-empowered Image Editing. [Code]
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience. [Code] [Cite]
Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention. [Code] [Cite]
On-Device Diagnostic Recommendation with Heterogeneous Federated BlockNets. [Code] [Cite]
Towards Self-Adaptive LLM-based News Verification with Real-time Evidence [Demo]
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures. [Code] [Cite]
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. [Code] [Cite]
Crowdsourcing benchmark. [Code] [Cite1] [Cite2]
A comparative study of question answering over knowledge bases. [Code] [Cite]
Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks. [Code] [Cite]
A dual benchmarking study of facial forgery and facial forensics. [Code] [Cite]
FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort. [Code] [Cite]
Prototype Learning for Interpretable Respiratory Sound Analysis. [Code] [Cite]
Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis. [Code] [Cite]
Fast Yet Effective Speech Emotion Recognition with Self-distillation. [Code] [Cite]
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning. [Code] [Cite]
Network Alignment with Holistic Embeddings. [Code] [Cite]
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction. [Code] [Cite]
Graph representation learning benchmark. [Code]
Lightweight Branching Self-Distillation: Be Your Own Teacher. [Code] [Cite]
Traffic Speed Prediction. [Code] [Cite2] (Best Paper Awards)

arXiv Preprints

1. Thanh Tam Nguyen, Thanh Trung Huynh, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, Quoc Viet Hung Nguyen. "A Survey of Machine Unlearning". https://arxiv.org/abs/2209.02299

2. Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen. "A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures". https://arxiv.org/abs/2404.00673

3. Thanh Tam Nguyen, Zhao Ren, Trinh Pham, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, and Quoc Viet Hung Nguyen. "Instruction-guided editing controls for images and multimedia: A survey in llm era." https://arxiv.org/abs/2411.09955

4. Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen. "Heterogeneous Hypergraph Embedding for Recommendation Systems". https://arxiv.org/abs/2407.03665

5. Yi Chang, Zhao Ren, Zhonghao Zhao, Thanh Tam Nguyen, Kun Qian, Tanja Schultz, Björn W. Schuller. "Speech Emotion Recognition under Resource Constraints with Data Distillation". https://arxiv.org/abs/2406.15119

6. Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer. "Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience". https://arxiv.org/abs/2405.18040

7. Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Thanh Trung Huynh, Thanh Thi Nguyen, Matthias Weidlich, Hongzhi Yin. "Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures". https://arxiv.org/abs/2404.14942

8. Zhao Ren, Yi Chang, Thanh Tam Nguyen, Yang Tan, Kun Qian, Björn W. Schuller. "A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era". https://arxiv.org/abs/2301.09362

9. Minh Tam Pham, Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Thanh Thi Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen. "A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures". https://arxiv.org/abs/2111.12912