Publications


Ph.D. Dissertation
  • Towards Useful AI Interpretability for Humans via Interactive AI Explanations
    Hua Shen
    [Thesis] [Talk Slides @Defense, @Princeton, @CMU]
    • Selected Conference Papers
    1. How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
      Qianou Christina Ma, Hua Shen, Kenneth Koedinger, Tongshuang Wu
      The 25th International Conference on Artificial Intelligence in Education (AIED '24)
      [Paper]
    2. A Design Space for Intelligent and Interactive Writing Assistants
      Mina Lee, Katy Llonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, (+27 authors)
      The ACM CHI conference on Human Factors in Computing Systems (CHI '24)
      [Paper]
    3. MultiTurnCleanup: A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup
      Hua Shen, Vicky Zayats, Johann C. Rocholl, Daniel D. Walker, Dirk Padfield
      The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP '23 (Oral))
      Google Research Science Conference Scholarships Google AI Research Intern
      [Paper] [Collected Dataset]
    4. ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing
      Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao (Kenneth) Huang
      The 26th ACM Conference On Computer-Supported Cooperative Work And Social Computing - Demonstrations (CSCW '23 Demo)
      Best Demo Award
      [Short Paper] [Long Paper] [System Code] [Unified XAI API] [Video] [Live Demo]
    5. Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs
      Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, Dongkuan Xu
      The 2023 Conference on Empirical Methods in Natural Language Processing - Demos (EMNLP '23 Demo)
      [Paper] [Github Community] [Homepage] [Tutorials]
    6. Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
      Hua Shen*, Adaku Uchendu*, Jooyoung Lee*, Thai Le, Ting-Hao 'Kenneth' Huang, Dongwon Lee
      The 11th AAAI Conference on Human Computation and Crowdsourcing (HCOMP '23)
      [Paper] [Human Study Code]
    7. ScatterShot: Interactive In-context Example Curation for Text Transformation
      Tongshuang Wu, Hua Shen, Daniel S Weld, Jeffrey Heer, Marco Tulio Ribeiro
      The ACM Conference on Intelligent User Interfaces (IUI '23)
      Best Paper Award, Honorable Mention
      [Paper] [Github] [Slides]
    8. Parachute: Evaluating Interactive Human-LM Co-writing Systems
      Hua Shen, Tongshuang Wu
      The In2Writing Workshop at The 2023 ACM CHI Conference (CHI '23 In2Writing Workshop)
      [Paper] [Tweet Summary]
    9. Are Shortest Rationales the Best Explanations For Human Understanding?
      Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao (Kenneth) Huang
      60th Annual Meeting of the Association for Computational Linguistics (ACL '22)
      [Paper] [Github] [Video] [Slides] [Poster]
    10. Improving Fairness in Speaker Verification via Group-adapted Fusion Network
      Hua Shen*, Yuguang Yang*, Guoli Sun, Ryan Langman, Eunjung Han, Jasha Droppo, Andreas Stolcke
      2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '22)
      Amazon AI Applied Scientist Intern
      [Paper] [GitHub] [Video] [Slides] [Poster]
    11. Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers
      Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng, Hua Shen, Szu-Chi Kuan, Ting-Hao K. Huang
      The WiP/Demo track of the 10th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2022 WiP/Demo)
      [Paper]
    12. Explaining the Road Not Taken
      Hua Shen, Ting-Hao (Kenneth) Huang
      The 2021 ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI (CHI '21 HCXAI Workshop)
      Human-Centered Explainable NLP (Survey of 200+ XAI Papers)
      [Website] [Paper] [Slides] [GitHub]
    13. Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions.
      Jiaqi Wang, Hua Shen, Chacha Chen, Frank E. Ritter.
      Asian CHI Symposium 2021 (AsianCHI’21)
      [Paper]
    14. How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels
      Hua Shen, Ting-Hao (Kenneth) Huang
      The 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP '20)
      [Paper] [GitHub] [Video] [Slides] [PennState NEWS]
    15. Interpretable Deep Learning under Fire
      Xinyang Zhang, Ningfei Wang, Hua Shen, Shouling Ji, Xiapu Luo, Ting Wang
      The 29th USENIX Security Symposium (USENIX '20)
      [Paper]
    16. A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models
      Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Ting Wang
      The 27th ACM Conference on Computer and Communications Security (CCS '20)
      [Paper]
    17. A Quantitative Analysis Decision System Based on Deep Learning Integrated Algorithm and NSGA-II for FX Portfolio Prediction
      Hua Shen, Xun Liang
      The 31st International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE '18)
      [Paper]
    18. A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction
      Hua Shen, Xun Liang
      The 25th International Conference on Artificial Neural Networks (ICANN '16)
      [Paper]
    19. Emergency Decision Support Architectures for Bus Hijacking Based on Massive Image Anomaly Detection in Social Networks
      Hua Shen, Xun Liang, Mingming Wang
      The 2015 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC '15)
      [Paper]
    Preprint
    1. SpeechPrompt V2: Prompt Tuning for Speech Classification Tasks
      Kai-Wei Chang, Yu-Kai Wang, Hua Shen, Iu-thing Kang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee
      [Arxiv] [Project Website] [Github]
    Book
  • Social Commerce Theory and Practice
    Xun Liang, Xiaoping Yang, Hua Shen
    Tsinghua University Press, 2014, ISBN No.9787302381129.
    [Link]
    • National Patents
  • An Innovative Emergency Discovery Method for Micro-blogging
    Xun Liang, Hua Shen, Run Cao
    National Intellectual Property Administration, 2012, PRC (CNIPA). Patent No.CN103577404A.
    [Link]
  • A Cross-Platform Microblog Community Account Matching Method
    Xiaofei Li, Xun Liang, Xiaoping Zhou, Xiaojing Shi, Hua Shen, Haiyan Zhang
    National Intellectual Property Administration, 2012, PRC (CNIPA). Patent No.CN104765729A.
    [Link]