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Thanh Le

Researcher, NICT

About me

I am a researcher in Wireless Systems Laboratory (WSL) at National Institute of Information and Communication Technology (NICT), Japan.

I focus on applying formal methods to 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”
    H. Duong*, T. Le*, TV. Nguyen
    Neural Information Processing Systems (NeurIPS'26)
    PDF
  2. “Implementation of Zero-shot Semantic Communication on Software Defined Radio”
    T. Le, A. Dataesatu, H. Murakami, T. Matsumura
    Wireless Personal Multimedia Communications (WPMC'26)
    PDF Code
  3. “Formal Verification for Deep Learning-based Power Control in Massive MIMO”
    T. Le, T. Matsumura, Y. Ji, JCS. Lui
    Vehicular Technology Conference (VTC Fall'26), Sep. 2026
    PDF Code
  4. “Verifying Neural Network Robustness with Dual Perturbations”
    H. Duong, L. Nguyen, T. Le, TV. Nguyen
    Computer Vision and Pattern Recognition (CVPR'26), June 2026, ☆Highlight☆
    PDF Code
  5. “Verifying Structural Robustness of Deep Neural Network”
    H. Duong*, T. Le*, L. Nguyen, TV. Nguyen
    Foundations of Software Engineering (FSE'26), July 2026
    PDF Code
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  1. “Formal Verification for Deep Learning-based Mobile Network Traffic Prediction”
    T. Le, T. 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”
    T. Le, H. Duong, T. Matsumura, TV. 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”
    H. Duong, T. Le, N. Ho, TV. Nguyen
    PDF
  3. “CLAD: Constrained Abstract Domain for Neural Network Verification”
    H. Duong, T. Le, TV. Nguyen
    PDF
  4. “ZonoGPT: Towards an Abstract Domain for Verifying Large GPT Models”
    H. Duong, T. Le, TV. Nguyen
    PDF
  5. “FGGM: Formal Grey-box Gradient Method for Attacking DRL-based MU-MIMO Scheduler”
    T. Le, H. Duong, Y. Ji, TV. Nguyen, JCS. Lui
    PDF

Dissertation

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

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  1. “TinyQMIX: Distributed Access Control for mMTC via Multi-agent Reinforcement Learning”
    T. Le, Y. Ji, JCS. 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”
    T. Le, Y. Ji, JCS. Lui
    Transactions on Mobile Computing (Volume: 23, Issue: 12, Dec. 2024)
    PDF

Services

Links

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Tools

  1. NeuralSAT - An DNN verification tool
  2. Abstract Domain Explainer - A iteractive tutorial on DNN verification
  3. VietProfs - An directory of Vietnamese professors … in the world
  4. CS Picks - Tools for computer science PhD applicants and early-career researchers
  5. An website (AI slop) - AI ranking among Vietnamese universities