Publications
 Recent Preprints  |   [Google Scholar]
    
    - 
        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
 [Arxiv: 2509.10830]
- 
        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
 [Arxiv: 2510.20039]
- 
        SusBench: An Online Benchmark for Evaluating Dark Pattern Susceptibility of Computer-Use Agents
        
 Longjie Guo, Chenjie Yuan, Mingyuan Zhong, Robert Wolfe, Ruican Zhong, Yue Xu, Bingbing Wen, Hua Shen, Lucy Lu Wang, Alexis Hiniker
 [ArXiv:2510.11035]
- 
        Bidirectional Human–AI Alignment in Education for Trustworthy Learning Environments
        
 Hua Shen
 [Book Chapter]
 Selected Papers 
    
    
    - 
        Position: Towards Bidirectional Human-AI Alignment
        
 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
 NeurIPS 2025 Position (Acceptance Rate: 6%) | [Paper] | [Reading List] | [ICLR & CHI BiAlign Workshop] | [NeirIPS 2025 Tutorial]
- 
        Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
        
 Hua Shen, Nicholas Clark, Tanu Mitra
 EMNLP 2025 Main | [Paper]
- 
        Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences
        
 Joshua Ashkinaze, Hua Shen, Sai Avula, Eric Gilbert, Ceren Budak
 NeurIPS 2025 Spotlight | [Paper]
- 
        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]
- 
        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]
- 
        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]
- 
        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
- 
        ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing : 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
- 
        Parachute: Evaluating Interactive Human-LM Co-writing Systems
        
 Hua Shen, Tongshuang Wu
 CHI 2023 In2Writing Workshop | [Paper] | [Tweet]
- 
        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]
- 
        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]
- 
        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
- 
        Explaining the Road Not Taken
        
 Hua Shen, Ting-Hao (Kenneth) Huang
 CHI 2021 HCXAI Workshop | [Paper] | [Github] | [Website] | [Slides] 200+ XAI Papers Survey
- 
        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]
- 
        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
- 
        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
- 
        Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery
        
 Nicholas Clark, Hua Shen, Bill Howe, Tanu Mitra
 COLM 2025 | [Paper]
- 
        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]
- 
        “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]
- 
        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]
- 
        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]
- 
        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]
- 
        Gentopia.AI : A Collaborative Platform for Tool-Augmented LLMs : 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]
- 
        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]
- 
        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]
- 
        Interpretable Deep Learning under Fire
        
 Xinyang Zhang, Ningfei Wang, Hua Shen, Shouling Ji, Xiapu Luo, Ting Wang
 USENIX 2020 | [Paper]
- 
        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]
- 
        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]
- 
        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]
- 
        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
    
      Xun Liang, Xiaoping Yang, Hua Shen
Tsinghua University Press, 2014, ISBN No.9787302381129 | [Link]
 National Patents
    
      Xun Liang, Hua Shen, Run Cao
National Intellectual Property Administration, 2012, PRC (CNIPA). Patent No.CN103577404A. | [Link]
Xiaofei Li, Xun Liang, Xiaoping Zhou, Xiaojing Shi, Hua Shen, Haiyan Zhang
National Intellectual Property Administration, 2012, PRC (CNIPA). Patent No.CN104765729A. | [Link]