911爆料网

Specializations

  • Bidirectional Human-AI Alignment
  • Human-AI Interaction
  • Human-Centered NLP, Speech, Computer Vision and Machine Learning

Research Areas

Biography

Hua Shen is a postdoctoral scholar at the University of Washington Information School and the Center for Responsibility in AI Systems & Experiences (RAISE). Her work anchors in HCI and intersects with multiple AI fields, such as Natural Language Processing, Speech Processing, Computer Vision, and Data Science. Particularly, her research focuses on bidirectional human-AI alignment, aiming to empower humans to interactively explain, evaluate, and collaborate with AI, while incorporating human feedback and values to improve AI systems.

Her research has been recognized with multiple awards and honors, including Best Paper and Best Interactive Event Award at AIED 2024, Best Demo at CSCW 2023, Best Paper Honorable Mention Award at IUI 2023, and 2023 Google Research Science Conference Scholarships. She was selected as the 2023 Rising Stars of Data Science. She obtained her Ph.D. from Pennsylvania State University from 2019 to 2023 and completed a postdoctoral fellowship at the University of Michigan.

Education

  • Ph D, Informatics, Penn State University, 2023
  • MS, Management Science and Engineering, Renmin University of China, 2016
  • BS, Information Security, University of Science and Technology , 2013

Awards

  • Best Interactive Event Award - AIED Conference, 2024
  • Best Paper - AIED Conference, 2024
  • Carnegie Funds for Faculty Development - UMich, School of Information, 2024
  • Best Demo - CSCW Conference, 2023
  • Best Paper Honorable Mentioned - IUI Conference, 2023
  • Google Research Science Conference Scholarships - Google Research, 2023
  • Rising Stars of Data Science - UChicago and UC San Diego, 2023
  • CRA-W Grad Cohort Award - Grad Cohort Workshop for Women, 2019

Publications and Contributions

  • Conference Paper
    (2024)
    AIED 2024 Authors: Qianou Christina Ma, Hua Shen, Kenneth Koedinger, Tongshuang Wu
  • Conference Paper
    (2024)
    The ACM CHI conference on Human Factors in Computing Systems Authors: Mina Lee , Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi , Senjuti Dutta , Jin L.C Guo, Md Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani , Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang , Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H Rho, Shannon Zejiang Shen, Pao Siangliulue
  • Conference Paper
    SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks (2024)
    Transactions on Audio, Speech and Language Processing Authors: Kai-Wei Chang, Haibin Wu, Yu-Kai Wang, Yuan-Kuei Wu, Hua Shen, Wei-Cheng Tsen, Iu-thing Kang, Shang-Wen Li, Hung-yi Lee
  • Conference Paper
    (2023)
    The 11th AAAI Conference on Human Computation and Crowdsourcing Authors: Hua Shen, Adaku Uchendu, Jooyoung Lee, Thai Le, Ting-Hao Huang, Dongwon Lee
  • Conference Paper
    (2023)
    The 2023 Conference on Empirical Methods in Natural Language Processing Authors: Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, Dongkuan Xu
  • Conference Paper
    (2023)
    EMNLP 2023 Authors: Hua Shen, Vicky Zayats, Johann Rocholl, Dan Walker, Dirk Padfield
  • Conference Workshop Paper
    (2023)
    CHI 2023 In2Writing Workshop Authors: Hua Shen, Tongshuang Wu
  • Conference Paper
    (2023)
    IUI 2023 Authors: Tongshuang Wu, Hua Shen, Daniel S Weld, Jeffrey Heer, Marco Tulio Ribeiro
  • Conference Paper
    (2022)
    ACL 2022 Authors: Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao (Kenneth) Huang
  • Conference Paper
    (2022)
    2022 IEEE International Conference on Acoustics, Speech and Signal Processing Authors: Hua Shen, Yuguang Yang, Guoli Sun, Ryan Langman, Eunjung Han, Jasha Droppo, Andreas Stolcke
  • Conference Paper
    (2022)
    AAAI HCOMP 2022 WiP/Demo Authors: Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng, Hua Shen, Szu-Chi Kuan, Ting Hao Huang
  • Conference Paper
    (2021)
    Proceedings of the Asian CHI Symposium 2021 Authors: Jiaqi Wang, Hua Shen, Chacha Chen, Frank E. Ritter
  • Conference Workshop Paper
    (2021)
    CHI 2021 HCXAI Workshop Authors: Hua Shen, Ting-hao (Kenneth) Huang
  • Conference Paper
    (2020)
    AAAI HCOMP 2020 Authors: Hua Shen, Ting-hao (Kenneth) Huang
  • Conference Paper
    (2020)
    Proceedings of the 29th USENIX Security Symposium Authors: Xinyang Zhang, Ningfei Wang, Hua Shen, Shouling Ji, Ting Wang
  • Conference Paper
    (2020)
    ACM CCS 2020 Authors: Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Alex X. Liu, Ting Wang
  • Conference Paper
    (2018)
    IEA-AIE 2018 Authors: Hua Shen, Xun Liang
  • Conference Paper
    (2016)
    ICANN 2016 Authors: Hua Shen, Xun Liang
  • Conference Paper
    (2015)
    IEEE SMC 2015 Authors: Hua Shen, Xun Liang, Mingming Wang
  • Book, Scholarly-New
    Social Commerce Theory and Practice (2014)
    ISBN/ISSN: 9787302381129 Authors: Xun Liang, Xiaoping Yang, Hua Shen
  • Conference Paper
    CSCW 2023 Authors: Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao (Kenneth) Huang

Presentations

  • Towards Bidirectional Human-AI Alignment via Interaction (2024)
    University of Illinois Urbana-Champaign - Urbana-Champaign, IL
  • A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup (2023)
    Google AI Research - Virtual
  • A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup (2023)
    EMNLP 2023 - Singapore
  • Parachute: Evaluating Interactive Human-LM Co-writing Systems (2023)
    CHI 2023 In2Writing Workshop - Hamburg, Germany
  • ScatterShot: Interactive In-context Example Curation for Text Transformation (2023)
    IUI 2023 - Virtual
  • Towards Human-Centered AI Alignment via Interaction (2023)
    University of Michigan - Ann Arbor, MI
  • Towards Human-Centered AI Alignment via Interaction (2023)
    University of Michigan - Ann Arbor, MI
  • Towards Useful AI Interpretability via Interactive AI Explanations (2023)
    Princeton University - Princeton, NJ
  • Towards Useful AI Interpretability via Interactive AI Explanations (2023)
    Carnegie Mellon University - Pittsburgh, PA
  • Towards Useful AI Interpretability via Interactive AI Explanations (2023)
    Rising Stars in Data Science Workshop - Chicago, IL
  • Distilling Auto-Regressive Large Language Models (2022)
    Amazon Alexa AI - Virtual
  • Useful XAI via Interactive AI Explanations (2022)
    University of Notre Dame - Virtual
  • A Survey on Human-Centered Explainable NLP (2021)
    CHI 2021 HCXAI Workshop - New Orleans, LA
  • Improving Fairness in Speaker Verification Models (2021)
    Amazon Alexa AI - Virtual