Publications


Recent Preprints | [Google Scholar]
  1. The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models
    Yike Shi, Qing Xiao, Qing (Diane) Hu, Hong Shen, Hua Shen
    [Paper]
  2. Beyond One-Way Influence: Bidirectional Opinion Dynamics in Multi-Turn Human-LLM Interactions
    Yuyang Jiang, Longjie Guo, Yuchen Wu, Aylin Caliskan, Tanushree Mitra, Hua Shen
    [Paper]
  3. Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions
    Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens
    [ArXiv:2409.09586] | [Reading List] | [ICLR & CHI BiAlign Workshop]
Selected Papers
  1. ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs
    Hua Shen, Tiffany Knearem, Reshmi Ghosh, Yu-Ju Yang, Nicholas Clark, Tanu Mitra*, Yun Huang*
    EMNLP 2025 WiNLP Workshop | [Paper]
  2. Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
    Hua Shen, Nicholas Clark, Tanu Mitra
    EMNLP 2025 Main | [Paper]
  3. ICLR 2025 Workshop on Bidirectional Human-AI Alignment
    Hua Shen,Tiffany Knearem, Reshmi Ghosh, Michael Liu, Andrés Monroy-Hernández, Tongshuang Wu, Diyi Yang, Yun Huang, Tanushree Mitra, Yang Li, Marti A. Hearst
    CHI 2025 | [BiAlign SIG Proposal]
  4. Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities
    Hua Shen, Ziqiao Ma, Reshmi Ghosh, Tiffany Knearem, Michael Liu, Tongshuang Wu, Andres Monroy-Hern ´ andez, Diyi Yang, Antoine Bosselut ´ Furong Huang, Tanu Mitra, Joyce Chai, Marti A. Hearst, Dawn Song, Yang Li
    ICLR 2025 | [BiAlign Workshop Proposal]
  5. MultiTurnCleanup: A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup
    Hua Shen, Vicky Zayats, Johann C. Rocholl, Daniel D. Walker, Dirk Padfield
    EMNLP 2023 Main (Oral) | [Paper] | [Dataset] Google Research Science Conference Scholarships
  6. ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing
    Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao (Kenneth) Huang
    CSCW 2023 Demo | [Long Paper] | [Short Paper] | [System] | [XAI API] | [Video] Best Demo
  7. Parachute: Evaluating Interactive Human-LM Co-writing Systems
    Hua Shen, Tongshuang Wu
    CHI 2023 In2Writing Workshop | [Paper] | [Tweet]
  8. 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
    AAAI HCOMP 2023 | [Paper] | [Github]
  9. Are Shortest Rationales the Best Explanations For Human Understanding?
    Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao (Kenneth) Huang
    ACL 2022 | [Paper] | [Github] | [Poster] | [Slides] | [Video]
  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
    ICASSP 2022 | [Paper] | [Github] | [Poster] | [Slides] | [Video] Amazon AI Applied Scientist Intern
  11. Explaining the Road Not Taken
    Hua Shen, Ting-Hao (Kenneth) Huang
    CHI 2021 HCXAI Workshop | [Paper] | [Github] | [Website] | [Slides] 200+ XAI Papers Survey
  12. 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
    AAAI HCOMP 2020 | [Paper] | [Github] | [Video] | [Slides] | [PennState NEWS]
  13. 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
    AIED 2024 | [Paper] Best Paper Best Interactive Event
  14. ScatterShot: Interactive In-context Example Curation for Text Transformation
    Tongshuang Wu, Hua Shen, Daniel S Weld, Jeffrey Heer, Marco Tulio Ribeiro
    IUI 2023 | [Paper] | [Github] | [Slides] Best Paper Honorable Mention
  15. Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery
    Nicholas Clark, Hua Shen, Bill Howe, Tanu Mitra
    COLM 2025 | [Paper]
  16. What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use
    Qianou Ma, Weirui Peng, Chenyang Yang, Hua Shen, Kenneth Koedinger, Tongshuang Wu
    TOCHI 2025 | [Paper]
  17. “Here the GPT made a choice, and every choice can be biased”: How Students Critically Engage with LLMs through an End-User Auditing Activity
    Snehal Prabhudesai, Ananya Kasi, Anmol Mansingh, Anindya Das Antar, Hua Shen, Nikola Banovic
    CHI 2025 | [Paper]
  18. NoMatterXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models
    Tuc Nguyen, James Michels, Hua Shen, Thai Le
    AAAI 2025 | [Paper]
  19. 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)
    CHI 2024 | [Paper] | [Website] | [Github]
  20. SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks
    Kai-Wei Chang, Haibin Wu, Yu-Kai Wang, Yuan-Kuei Wu, Hua Shen, Wei-Cheng Tseng, Iu-thing Kang, Shang-Wen Li, Hung-yi Lee
    TASLP 2024 | [Paper] | [Website] | [Github]
  21. 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
    EMNLP 2023 Demo | [Paper] | [Github] | [Homepage] | [Tutorials]
  22. 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
    AAAI HCOMP 2022 Demo | [Paper]
  23. 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 | [Paper]
  24. Interpretable Deep Learning under Fire
    Xinyang Zhang, Ningfei Wang, Hua Shen, Shouling Ji, Xiapu Luo, Ting Wang
    USENIX 2020 | [Paper]
  25. A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models
    Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Ting Wang
    CCS 2020 | [Paper]
  26. A Quantitative Analysis Decision System Based on Deep Learning Integrated Algorithm and NSGA-II for FX Portfolio Prediction
    Hua Shen, Xun Liang
    IEA/AIE 2018 | [Paper]
  27. A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction
    Hua Shen, Xun Liang
    ICANN 2016 | [Paper]
  28. Emergency Decision Support Architectures for Bus Hijacking Based on Massive Image Anomaly Detection in Social Networks
    Hua Shen, Xun Liang, Mingming Wang
    IEEE SMC 2015 | [Paper]
Book
  • Social Commerce Theory and Practice
    Xun Liang, Xiaoping Yang, Hua Shen
    Tsinghua University Press, 2014, ISBN No.9787302381129 | [Link]
    • National Patents
  • A kind of completely new accident towards microblogging finds method
    Xun Liang, Hua Shen, Run Cao
    National Intellectual Property Administration, 2012, PRC (CNIPA). Patent No.CN103577404A. | [Link]
  • A kind of cross-platform microblogging community account matching process
    Xiaofei Li, Xun Liang, Xiaoping Zhou, Xiaojing Shi, Hua Shen, Haiyan Zhang
    National Intellectual Property Administration, 2012, PRC (CNIPA). Patent No.CN104765729A. | [Link]