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Thanh Le

Researcher
WSL, NICT, Japan
thanhle (at) nict.go.jp

About me

I am a researcher in Wireless Systems Laboratory (WSL) at National Institute of Information and Communication Technology (NICT), Japan. My current research focus on bringing formal methods from software engineering to analyze, verify, and improve the robustness of AI-enabled wireless systems.

News

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  • 12/2025: ICAIIC'26 paper, a verified robust Conv3D model for network traffic prediction
  • 05/2025: Joined WSL, NICT
  • 03/2025: Received the INOSE Student Encouragement Award of National Institute of Informatics (NII)

Publications

  1. “Verifying Neural Networks with Reinforcement Learning”
    Hai Duong*, Thanh Le*, ThanhVu Nguyen
    accepted at Neural Information Processing Systems (NeurIPS'26)
    PDF
  2. “Implementation of Zero-shot Semantic Communication on Software Defined Radio”
    Thanh Le, Arif Dataesatu, Homare Murakami, Takeshi Matsumura
    accepted at Wireless Personal Multimedia Communications (WPMC'26)
    PDF Code
  3. “Formal Verification for Deep Learning-based Power Control in Massive MIMO”
    Thanh Le, Takeshi Matsumura, Yusheng Ji, John C.S. Lui
    Vehicular Technology Conference (VTC Fall'26), Sep. 2026
    PDF Code
  4. “Verifying Neural Network Robustness with Dual Perturbations”
    Hai Duong, Lam Nguyen, Thanh Le, ThanhVu Nguyen
    Computer Vision and Pattern Recognition (CVPR'26), June 2026, ☆Highlight☆
    PDF Code
  5. “Verifying Structural Robustness of Deep Neural Network”
    Hai Duong*, Thanh Le*, Lam Nguyen, ThanhVu Nguyen
    Foundations of Software Engineering (FSE'26), July 2026
    PDF Code
  6. “Formal Verification for Deep Learning-based Mobile Network Traffic Prediction”
    Thanh Le, Takeshi Matsumura
    International Conference on Artificial Intelligent in Information and Communication (ICAIIC'26), Feb. 2026
    PDF Code

Preprints

  1. “Neural Network Verification for Deep Joint Source-Channel Coding”
    Thanh Le, Hai Duong, Takeshi Matsumura, ThanhVu Nguyen
    Submitted to IEEE Transactions on Machine Learning in Communications and Networking (TMLCN)
    PDF Code Gist
  2. “Towards Verifying Neural Networks against Multi-Parameter Bit-Flip Perturbations”
    Hai Duong, Thanh Le, Ho Nguyen, ThanhVu Nguyen
    PDF
  3. “CLAD: Constrained Abstract Domain for Neural Network Verification”
    Hai Duong, Thanh Le, ThanhVu Nguyen
    PDF
  4. “ZonoGPT: Towards an Abstract Domain for Verifying Large GPT Models”
    Hai Duong, Thanh Le, ThanhVu Nguyen
    PDF
  5. “FGGM: Formal Grey-box Gradient Method for Attacking DRL-based MU-MIMO Scheduler”
    Thanh Le, Hai Duong, Yusheng Ji, ThanhVu Nguyen, John C.S. Lui
    PDF

Dissertation

Distributed Learning Techniques for Dynamic Access Control in massive Machine-Type Communication
Supervisor: Prof. Yusheng Ji
SOKENDAI, NII, Mar. 2025
Abstract

  1. “TinyQMIX: Distributed Access Control for mMTC via Multi-agent Reinforcement Learning”
    Thanh Le, Yusheng Ji, John C.S. Lui
    Vehicular Technology Conference (VTC Fall'22), Sep. 2022
    PDF
  2. “MFTTS: A Mean-Field Transfer Thompson Sampling Approach for Distributed Power Allocation in Unsourced Multiple Access”
    Thanh Le, Yusheng Ji, John C.S. Lui
    Transactions on Mobile Computing (Volume: 23, Issue: 12, Dec. 2024)
    PDF

Services


External Links

Tool & Software

  1. NeuralSAT - A neural network verification tool
  2. Abstract Domain Explainer - An interactive, step-by-step walkthrough of how DNN abstract domains work.
  3. VietProfs - A directory of Vietnamese academic and research worldwide
  4. CS Picks - CS Confs - Track upcoming CS conferences
  5. CS Picks - Jobs - Track US academic job openings
  6. An website (AI slop) to track performance of Vietnamese University in top AI conferences