Hua Shen

Postdoctoral Scholar

huashen@uw.edu

Website

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

How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (2024)
AIED 2024 Authors: Qianou Christina Ma, Hua Shen, Kenneth Koedinger, Tongshuang Wu
Conference Paper

A Design Space for Intelligent and Interactive Writing Assistants (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

Does Human Collaboration Enhance the Accuracy of Identifying Deepfake Texts? (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

Gentopia.AI: A Collaborative Platform for Tool Augmented LLMs (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

MultiTurn Cleanup: A Bench-mark for Multi-Turn Spoken Conversational Transcript Cleanup (2023)
EMNLP 2023 Authors: Hua Shen, Vicky Zayats, Johann Rocholl, Dan Walker, Dirk Padfield
Conference Workshop Paper

Parachute: Evaluating Interactive Human-LM Co-writing Systems (2023)
CHI 2023 In2Writing Workshop Authors: Hua Shen, Tongshuang Wu
Conference Paper

ScatterShot: Interactive In-context Example Curation for Text Transformation (2023)
IUI 2023 Authors: Tongshuang Wu, Hua Shen, Daniel S Weld, Jeffrey Heer, Marco Tulio Ribeiro
Conference Paper

Are Shortest Rationales the Best Explanations For Human Understanding? (2022)
ACL 2022 Authors: Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao (Kenneth) Huang
Conference Paper

Improving Fairness in Speaker Verification via Group-adapted Fusion Network (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

Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers (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

Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners’ Interactions (2021)
Proceedings of the Asian CHI Symposium 2021 Authors: Jiaqi Wang, Hua Shen, Chacha Chen, Frank E. Ritter
Conference Workshop Paper

Explaining the Road Not Taken (2021)
CHI 2021 HCXAI Workshop Authors: Hua Shen, Ting-hao (Kenneth) Huang
Conference Paper

How Useful Are the Machine-Generated Interpretations? A Human Evaluation on Guessing the Wrongly Predicted Labels (2020)
AAAI HCOMP 2020 Authors: Hua Shen, Ting-hao (Kenneth) Huang
Conference Paper

Interpretable Deep Learning under Fire (2020)
Proceedings of the 29th USENIX Security Symposium Authors: Xinyang Zhang, Ningfei Wang, Hua Shen, Shouling Ji, Ting Wang
Conference Paper

The Tale of Evil Twins: Adversarial Inputs versus Poisoned Models (2020)
ACM CCS 2020 Authors: Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Alex X. Liu, Ting Wang
Conference Paper

A Quantitative Analysis Decision System Based on Deep Learning and NSGA-II for FX Portfolio Prediction (2018)
IEA-AIE 2018 Authors: Hua Shen, Xun Liang
Conference Paper

A Time Series Forecasting Model Based on Deep Learning In tegrated Algorithm with Stacked Autoencoders and SVR for FX Prediction (2016)
ICANN 2016 Authors: Hua Shen, Xun Liang
Conference Paper

Emergency Decision Support Architectures for Bus Hijacking Based on Massive Image Anomaly Detection in Social Networks (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

ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing
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)
EMNLP 2023 - Singapore
A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup (2023)
Google AI Research - Virtual
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)
Carnegie Mellon University - Pittsburgh, PA
Towards Useful AI Interpretability via Interactive AI Explanations (2023)
Rising Stars in Data Science Workshop - Chicago, IL
Towards Useful AI Interpretability via Interactive AI Explanations (2023)
Princeton University - Princeton, NJ
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