About Me

Hi! I’m Haibin Wu. I am currently a second-year Ph.D. student at the college of Electrical Engineering and Computer Science (EECS) at National Taiwan University (NTU). I am a member of the Speech Processing Lab, working with Prof. Hung-yi Lee and Prof. Lin-shan Lee in the area of machine learning and speech processing. I mainly work on adversarial attack and defense algorithms for automatic speaker verification. By the way, I also like photography very much (please see my homepage).

Publications

  • Multiview Learning for Subsurface Defect Detection in Composite Products: A Challenge on Thermographic Data Analysis
    Haibin Wu, K Zheng, S Sfarra, Y Liu, Y Yao
    IEEE Transactions on Industrial Informatics
    [ pdf ]

  • Physically Consistent Soft-Sensor Development Using Sequence-to-Sequence Neural Networks
    Cheng-Hung Chou (co-first), Haibin Wu (co-first), Jia-Lin Kang, David Shan-Hill Wong, Yuan Yao, etc.
    IEEE Transactions on Industrial Informatics
    [ pdf ]

  • Voting for the right answer: Adversarial defense for speaker verification
    Haibin Wu, Yang Zhang, Zhiyong Wu, Dong Wang, Hung-yi Lee
    Interspeech 2021
    [ pdf | Github]

  • Spotting adversarial samples for speaker verification by neural vocoders
    Haibin Wu, Po-chun Hsu, Ji Gao, Shanshan Zhang, Shen Huang, Jian Kang, Zhiyong Wu, Helen Meng, Hung-yi Lee
    ASRU 2021 (under review)
    [ pdf | Github]

  • Adversarial defense for automatic speaker verification by cascaded self-supervised learning models
    Haibin Wu, Xu Li, Andy T. Liu, Zhiyong Wu, Helen Meng, Hung-yi Lee
    ICASSP 2021
    [ pdf ]

  • Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
    Haibin Wu, AT Liu, H Lee
    Interspeech 2020
    [ pdf | presentation ]

  • Defense against adversarial attacks on spoofing countermeasures of ASV
    Haibin Wu, Songxiang Liu, Helen Meng, Hung-yi Lee
    ICASSP 2020
    [ pdf ]

  • Simplified Granger causality map for data-driven root cause diagnosis of process disturbances
    Y Liu, HS Chen, Haibin Wu, Y Dai, Y Yao, Z Yan
    Journal of Process Control
    [ pdf]

  • Adversarial attacks on spoofing countermeasures of automatic speaker verification
    S Liu, H Wu, H Lee, H Meng
    ASRU 2019
    [ pdf ]

  • Process Monitoring Using a Sequence to Sequence Model
    H Wu, CH Chou, Y Yao, DSH Wong, Y Liu
    DDCLS 2019
    [ pdf ]

  • RIIT: Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning
    J Hu, H Wu, SA Harding, S Liao
    Under review. Submitted to UAI.
    [ pdf ]

  • QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning
    Jian Hu, Seth Austin Harding, Haibin Wu, Siyue Hu, Shih-wei Liao
    Preprint.
    [ pdf ]

Honers

  • Advanced Speech Technologies Scholarship NTU EECS 2020

  • Academic Achievement Award NCTU EECS 2019

  • Academic Achievement Award NCTU EECS 2018

  • National Scholarship(nomination) Chinese Ministry of Education 2016

  • First-class scholarship HNU 2015

  • Excellent Student Cadre HNU 2015

  • National Scholarship(nomination) Chinese Ministry of Education 2015

  • Excellent Student HNU 2014

  • National Scholarship Chinese Ministry of Education 2014

Teaching

Research Experience

  • Visiting Student at the Chinese University of Hong Kong May 2021 - present

  • Visiting Student at SIGS of Tsinghua University Aug. 2020 - May 2021

  • Intern at Tencent Jan. 2021 - May 2021

  • Research Assistant at National Tsinghua University Sep. 2017 - Jan. 2021