• Hi!
    It's Winnie

  • Hi!
    It's Winnie

簡婉軒 Woan-Shiuan Chien (Winnie)

Ph.D. Candidate at NTHU

Hi, I am Winnie, a final year PhD candidate from National Tsing Hua University, Taiwan. My research interest primarily revolves around affective computing, machine learning and multimodal (speech, physiology) signal processing.

Recently, I have broadened my research scope to address critical aspects of trustworthy AI, focusing on privacy, fairness, and bias within emotion recognition technologies. I am particularly interested in how these ethical considerations can be integrated into existing and new technologies to foster responsible AI development.

Additionally, I investigate the potential of various modalities, such as audio and physiological signals, in understanding and predicting human behaviors. I also develop novel machine learning and deep learning models with applications in various domains, including emotion recognition, group interaction and healthcare.

Specifically, it includes:

Emotion recognition

Investigating perceptual fairness by identifying and mitigating group and individual biases in emotion recognition systems. This involves developing algorithms that ensure equitable treatment of diverse user groups, thereby enhancing the reliability and credibility of affective computing applications.

Trustworthy AI

Exploring mechanisms to incorporate ethical guidelines into machine learning models. This includes creating transparent systems that users can trust and verifying the impartiality of algorithms across different demographics and contexts.

Latest News

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    • Experience

    WORKING EXPERIENCES

    Nuvoton Technology Corporation (Nuvoton Crop.) 2017.10 - 2019.09

    Microcontroller System Application Engineer

  • Mini-PCIe Expansion Adapter Boards (NB-IoT, LTE, LoRa Gateway)
  • Key Word Spotting (Speech Recognition) featuring the NuMicro M480 series microcontroller
  • Digital Image Recognition System featuring the NuMicro M480 series microcontroller
  • OLED Display with GIF Format Decode featuring the NuMicro M480 series microcontroller

    • COOPERATED PROJECTS

    Qualcomm Incorporation, USA 2022.01 - Now

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  • Distributed learning for edge AI applications.
  • Developing in-car automatic speech recognition and driver behavior recognition to enhance vehicle safety.

    • Multimodal Signal Processing Laboratory (MSP Lab.), The University of Texas at Dallas 2021.03 - Now

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  • Propose the design of the affective naturalistic database consortium (AndC) with a customizable-standard framework for intelligently-controlled emotional data collection.
  • Present as a case study the development of a naturalistic large-scale Taiwanese Mandarin podcast corpus using the customizable-standard intelligently-controlled framework.

    • Institute for Information Industry (III) 2020.05 - 2020.11

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  • Develop a computer vision-based video retrieval system speeding up the fakenews screening process.
  • The system would be deployed by two NGO fakenews checkers Taiwan FactCheck Center and MyGoPen.

    • Teaching

    National Tsing Hua University

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    Teatching Assistant

  • THC1024 Reliable Industrial Wireless Network Technology and Application (2023)
  • EE 3700 Introduction to Machine Learning (2022)
  • EE 3660 Introduction to Digital Signal Processing (2022)
  • EE 3900 Special Topic on Implementation (2021, 2022, 2023)
  • EECS 3010 Industry Internship (2021, 2022, 2023)
  • EE 3662 Digital Signal Processing Laboratory (2020)

    • National Chung Cheng University

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    Teatching Assistant

  • EE 4156114 Biomedical Signal Processing (2017)
  • EE 4151004 Introduction to Computers (2016)
  • EE 4153013 Digital Signal Processing Laboratory (2016)
  • EE 4153213 Introduction to Digital Signal Processing (2016)

    • Publication

    M.S Thesis

      "Back-propagation and Convolutional Neural Networks for Arrhythmia Electrocardiogram Classification" , National Chung Cheng University, July 2017.
      以倒傳遞及卷積神經網路辨識心律不整心電圖之研究, 中正大學電機系, 2017年7月

    International journal

    1. Learning With Rater-Expanded Label Space to Improve Speech Emotion Recognition.
      Shreya G. Upadhyay, Woan-Shiuan Chien , Bo-Hao Su, and Chi-Chun Lee
      TAFFC IEEE Transactions on Affective Computing, 2024
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    International Conference

    1. Balancing Speaker-Rater Fairness for Gender-Neutral Speech Emotion Recognition
      Woan-Shiuan Chien, Shreya G. Upadhyay and Chi-Chun Lee
      ICASSP In Proceeding of the 49th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’24), Seoul, Korea, April 14-19, 2024.
      PDF HTML
    2. In-The-Wild Physiological-Based Stress Detection Using Federated Strategy
      Po-Chen Lin, Jeng-Lin Li, Woan-Shiuan Chien and Chi-Chun Lee
      ICASSP In Proceeding of the 49th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’24), Seoul, Korea, April 14-19, 2024.
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    3. An Intelligent Infrastructure Toward Large Scale Naturalistic Affective Speech Corpora Collection.
      Shreya G. Upadhyay*, Woan-Shiuan Chien , Bo-Hao Su, Lucas Goncalves, Ya-Tse Wu, Ali N. Salman, Carlos Busso and Chi-Chun Lee
      ACII In Proceeding of the 11th International Conference on Affective Computing & Intelligent Interaction (ACII ‘23), 2023
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    4. Achieving Fair Speech Emotion Recognition via Perceptual Fairness
      Woan-Shiuan Chien and Chi-Chun Lee
      ICASSP In Proceeding of the 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’23), Rhodes Island, Greece, June 4-10, 2023.
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    5. Phonetic Anchor-Based Transfer Learning To Facilitate Unsupervised Cross-Lingual Speech Emotion Recognition
      Shreya G. Upadhyay, Luz Martinez-Lucas, Bo-Hao Su, Wei-Cheng Lin, Woan-Shiuan Chien, Ya-Tse Wu, William Katz, Carlos Busso and Chi-Chun Lee
      ICASSP In Proceeding of the 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’23), Rhodes Island, Greece, June 4-10, 2023.
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    6. Monologue versus Conversation: Differences in Emotion Perception and Acoustic Expressivity
      Woan-Shiuan Chien, Shreya G. Upadhyay, Wei-Cheng Lin, Ya-Tse Wu, Bo-Hao Su, Carlos Busso and Chi-Chun Lee
      ACII In Proceeding of the 10th International Conference on Affective Computing & Intelligent Interaction (ACII’22), Hybrid Event / Nara, Japan, October 18-21, 2022.
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    7. Self-assessed Emotion Classification from Acoustic and Physiological Features within Small-group Conversation
      Woan-Shiuan Chien, Huang-Cheng Chou and Chi-Chun Lee
      ICMI In Companion Publication of the 23rd ACM International Conference on Multimodal Interaction (ICMI’21), Hybrid Event / Montreal, Canada, October 18-22, 2021.
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    8. Belongingness and Satisfaction Recognition from Physiological Synchrony with A Group-Modulated Attentive BLSTM under Small-group Conversation
      Woan-Shiuan Chien, Huang-Cheng Chou and Chi-Chun Lee
      ICMI In Companion Publication of the 23rd ACM International Conference on Multimodal Interaction (ICMI’21), Hybrid Event / Montreal, Canada, October 18-22, 2021.
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    9. “Does it Matter When I Think You Are Lying?” Improving Deception Detection by Integrating Interlocutor’s Judgements in Conversations
      Huang-Cheng Chou, Woan-Shiuan Chien, Da-Cheng Juan and Chi-Chun Lee
      ACL In Findings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP’21), Virtual Event / Bangkok, Thailand, August 1-6, 2021.
      PDF HTML Merry Electroacoustic Thesis Award
    10. Cross Corpus Physiological-based Emotion Recognition Using a Learnable Visual Semantic Graph Convolutional Network
      Woan-Shiuan Chien, Hao-ChunYang and Chi-Chun Lee
      ACMMM In Proceedings of the 25th ACM International Conference on Multimedia (MM’20), Virtual Event / Seattle, USA, October 12-16, 2020.
      PDF HTML Acceptance rate: 27.8 %
    11. Identification of Myocardial Ischemic and Infarction Episodes Based on ST Level and Beat Type Re-attribution Method
      Woan-Shiuan Chien and Sung-Nien Yu
      ICBIP In Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing (ICBIP’17), Kitakyushu, Japan, August 23-25, 2017.
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