Publications
Ph.D. Dissertation
Towards Useful AI Interpretability for Humans via Interactive AI Explanations
Hua Shen
[Thesis] [Talk Slides @Defense, @Princeton, @CMU]
Preprint
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]
Hua Shen
[Thesis] [Talk Slides @Defense, @Princeton, @CMU]
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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
[Paper] [Reading List] -
ValueCompass: A Framework of Fundamental Values for Human-AI Alignment
Hua Shen, Tiffany Knearem, Reshmi Ghosh, Yu-Ju Yang, Tanushree Mitra, Yun Huang
[Paper] -
What You Say = What YouWant? Teaching Humans to Articulate Requirements for LLMs
Qianou Ma, Weirui Peng, Hua Shen, Kenneth Koedinger, Tongshuang Wu
[Paper] -
NoMatterXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models
Tuc Nguyen, James Michels, Hua Shen, Thai Le
[Paper]
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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)
Best Paper Award Best Interactive Event Award
[Paper] -
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
Transactions on Audio, Speech and Language Processing (TASLP '24)
[Paper] [Project Website] [Github] -
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] [Website] [Code] -
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] -
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] -
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] -
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] -
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] -
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] -
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] -
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] -
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] -
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] -
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] -
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] -
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] -
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] -
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] -
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] -
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]
Xun Liang, Xiaoping Yang, Hua Shen
Tsinghua University Press, 2014, ISBN No.9787302381129.
[Link]
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]