About Me

I am a first-year PhD student in the xML Lab at the Department of Electrical and Computer Engineering, National University of Singapore, advised by Prof. Xinchao Wang, supported by the NUS President’s Graduate Fellowship.

Previously, I received my Bachelor degree in Computer Science from Hanoi University of Science and Technology, Vietnam.

Research Interests

• Multimodal Learning: vision and language models
• Robot Learning: behavior foundation models, vision–language models, world models
• Speech Processing: speaker verification, automatic speech recognition, etc.

News

• Aug 2026 Started my PhD at NUS ECE. 🎉

• 

  dOPSD: On-Policy Self-Distillation for Diffusion Language Models

  Phuong Tuan Dat, Qi Li, Xinchao Wang

  Preprint (2026)

  [PDF] [Code]

• 

  KanAdapter: A Kolmogorov–Arnold Network-based Plug-and-Play Module for Efficient Fine-tuning of Foundation Speech Models

  Phuong Tuan Dat, Phuong Khai Minh, Tran Huy Dat

  EMNLP IMPACT-SPEECH Workshop (2026)
  EMNLP SALMA Workshop (2026) · Oral presentation

  [PDF]

• 

  Disentangled Global-Local Feature Learning with E-Branchformer for Audio Deepfake Detection

  Phuong Tuan Dat, Ho Bao Thu, Nguyen Tran Trung, Pham Viet Hoang, Nguyen Thi Thu Trang

  EMNLP SALMA Workshop (2026)

  [PDF] [Code]

• 

  CompliantWBC: Whole-Body Compliance for Heavy Humanoids via Force Latent Estimation and Residual Impedance Targets

  Tan-Dzung Do, Cuc T. Trinh, Phuong Tuan Dat, Truong-Duy Dang, Chien Le, Thanh Ly, Vien Anh Ngo, An Thai Le

  ECCV EMR, WMEAI & HOI Workshops (2026)

  [PDF] [Project Web]

• 

  TACT-ful: Multi-Channel Terrain Affordance and Compliance Training for Payload-Robust Perceptive Humanoid Locomotion

  Thanh Ly, Truong-Duy Dang, Chien Le, Tan-Dzung Do, Phuong Tuan Dat, Cuc T. Trinh, Vien Anh Ngo, An Thai Le

  ECCV EMR & X-Reason Workshops (2026)

  [PDF] [Project Web]

• 

  Fine-Grained Frame Modeling in Multi-Head Self-Attention for Speech Deepfake Detection

  Phuong Tuan Dat, Duc-Tuan Truong, Long-Vu Hoang, Nguyen Thi Thu Trang

  ICASSP (2026)

  [PDF]

• 

  VieSpeaker: A Large-Scale Vietnamese Speaker Recognition Dataset Beyond Visual Dependency

  Viet Hoang Pham, Trung Tran Nguyen, Bao Thu Ho, Phuong Tuan Dat, Nguyen Thi Thu Trang

  Interspeech (2026)

  [PDF]

• 

  Pushing the Performance of Synthetic Speech Detection with Kolmogorov–Arnold Networks and Self-Supervised Learning Models

  Phuong Tuan Dat, Long-Vu Hoang, Tran Huy Dat

  Interspeech (2025)

  [PDF] [Code]

• 

  Automatic Speech Recognition and Spoken Language Understanding of Maritime Radio Communications: A Case Study with Singapore Data

  Phuong Tuan Dat, J. M. Madhathil, Tran Huy Dat

  ICASSP (2025)

  [PDF]

• 

  VoxVietnam: A Large-Scale Multi-Genre Dataset for Vietnamese Speaker Recognition

  Long-Vu Hoang, Phuong Tuan Dat, Pham Thao Nhi, Nguyen Song Hao, Nguyen Thi Thu Trang

  ICASSP (2025)

  [PDF]

• 

  KAN-AST: Kolmogorov–Arnold Network based Audio Spectrogram Transformer for Audio Classification

  Phuong Tuan Dat, Tran Huy Dat

  IEEE ASRU (2025)

  [PDF]

• 

  Utilizing Kolmogorov–Arnold Network in Self-Supervised Learning for Speaker Diarization

  Minh Vu, Phuong Tuan Dat, K. K. Teh, Van Tuan Nguyen, Tran Huy Dat

  IEEE ASRU (2025)

  [PDF]

• 

  XLSR-Kanformer: A KAN-Integrated Model for Synthetic Speech Detection

  Phuong Tuan Dat, Tran Huy Dat

  IEEE AVSS (2025)

  [PDF]

• 

  The Vietnamese Spoofing-Aware Speaker Verification Challenge 2025: Summary and Results

  Phuong Tuan Dat, Long-Vu Hoang, Nguyen Thi Thu Trang

  VLSP (2025)

  [PDF]

• 

  VSASV: A Vietnamese Dataset for Spoofing-Aware Speaker Verification

  Long-Vu Hoang, Viet Thanh Pham, Hoa Nguyen Xuan, Pham Thao Nhi, Phuong Tuan Dat, Nguyen Thi Thu Trang

  Interspeech (2024)

  [PDF]

• 

  Automatic Speech Recognition and Understanding over Noisy Air Traffic Control VHF Channels in Singapore

  Phuong Tuan Dat, Luong Trung Tuan, J. M. Madhathil, Tran Huy Dat

  SESAR Innovation Days (2024)

  [PDF]

Industry Experience

1. 2025
   

   VinRobotics

   7/2025 – 8/2026

   • Supervisors: Le Thai An, Do Tan Dzung, and Trinh Thi Cuc.
2. 2025
   

   Vbee AI

   1/2025 – 9/2025
3. 2024
   

   Institute for Infocomm Research (I²R), A*STAR

   3/2024 – 8/2024

   • Supervisor: Dr. Tran Huy Dat, Deputy Department Head, ALI Dept.

Achievements

• NUS PhD President’s Graduate Fellowship2026
• EVN Scholarship for Excellent Student2025
• Vietcombank Scholarship for Excellent Student2025
• Deakin University Study Marble Tour Scholarship2024
• HUST Excellent Academic Achievement Scholarship2022, 2023, 2024
• Singapore International Pre-Graduate Awards 20232023
• Temasek Foundation SCALE (Specialist Community Action and Leadership Exchange)10/2022