Bio

I am a Ph.D. student in Computer Science at Purdue University, fortunately advised by Prof. Ming Yin.

Prior to Purdue, I received my Bachelor’s degree in Computer Science and Statistics from the University of Illinois at Urbana-Champaign in 2019, advised by Prof. Roxana Girju and Prof. Richard Sowers.

My research currently lies in the intersection of human-computer interaction and machine learning, mainly focusing on human-AI interaction and human-centered AI.

I am also broadly interested in computational social science, crowdsourcing, and behavioral science.

Publications

(* indicates equal contribution)

Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making
Zhuoran Lu, Dakuo Wang, and Ming Yin.
The 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), San José, November 2024
Preliminary version in the CHI Workshop on Trust and Reliance in AI-Assisted Tasks (TRAIT), Hamburg, May 2023

Mix and Match: Characterizing Heterogeneous Human Behavior in AI-assisted Decision Making
Zhuoran Lu, Hasan Amin, Zhuoyan Li, and Ming Yin.
The 12th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), Pittsburgh, October 2024.

Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision Making
Zhuoran Lu*, Hasan Amin*, and Ming Yin.
The 33th International Joint Conference on Artificial Intelligence (IJCAI), Jeju, August 2024
Preliminary version in the ICML Workshop on Artificial Intelligence & Human Computer Interaction (AI HCI), Hawaii, July 2023

AI Pilot in the Cockpit: An Investigation of Public Acceptance
Shan Gao, Zhuoran Lu, Hao Luan, Ming Yin, and Lei Wang.
International Journal of Human–Computer Interaction (IJHCI)

Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil’s Advocate
Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, and Ming Yin.
The 29th ACM Conference on Intelligent User Interface (IUI), Greenville, March 2024.

Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision Making
Zhuoyan Li, Zhuoran Lu, and Ming Yin.
The 38th Conference on Artificial Intelligence (AAAI), Vancouver, February 2024.

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, and Ming Yin.
The Empirical Methods in Natural Language Processing (EMNLP), Singapore, December 2023

Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance
Zhuoran Lu*, Zhuoyan Li*, Chun-Wei Chiang, and Ming Yin.
The 32nd International Joint Conference on Artificial Intelligence (IJCAI), Macao, August 2023

Are Two Heads Better Than One in AI-Assisted Decision Making? Comparing the Behavior and Performance of Groups and Individuals in Human-AI Collaborative Recidivism Risk Assessment
Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, and Ming Yin.
The 41st ACM Conference on Human Factors in Computing Systems (CHI), Hamburg, May 2023.

Modeling Human Trust and Reliance in AI-assisted Decision Making: A Markovian Approach [Oral]
Zhuoran Lu*, Zhuoyan Li*, and Ming Yin.
The 37th Conference on Artificial Intelligence (AAAI), Washington, D.C., February 2023.

The Effects of AI-based Credibility Indicators on the Detection and Spread of Misinformation under Social Influence [Best Paper Award]
Zhuoran Lu, Patrick Li, Weilong Wang, and Ming Yin.
The 25th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), Online, November 2022

Towards Better Detection of Biased Language with Scarce, Noisy, and Biased Annotations
Zhuoran Lu*, Zhuoyan Li*, and Ming Yin.
The 5th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), Online, August 2022

Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making
Zhuoran Lu*, Xinru Wang*, and Ming Yin
The Web Conference (WWW), Online, April 2022.

Human Reliance on Machine Learning Models When Performance Feedback is Limited: Heuristics and Risks
Zhuoran Lu and Ming Yin.
The 39th ACM Conference on Human Factors in Computing Systems (CHI), Online, May 2021.

Teaching

CS373, Data Mining & Machine Learning
Teaching Assistant, Fall 2021, Spring 2022, Purdue University
Guest Lecturer, Spring 2022, Purdue University

Experience

Autodesk Research, Toronto, ON
Research Intern, From Intent to Experience Group
May 2024 - September 2024

Microsoft, Redmond, WA
Research Intern, Office of Applied Research
May 2023 - September 2023

Honda Research Institute, San Jose, CA
Research Intern, Human-centered Intelligence Group
January 2023 - April 2023

Service

Reviewer:
2024: ICWSM, CHI, IUI, CSCW, IDC, DIS, CogSci
2023: ICWSM, CHI, IUI, IDC, MobileHCI, CogSci, CSCW, DIS, ISS, CUI, CHI PLAY, FAccT, UIST
2022: DIS, CHI PLAY, NordiCHI, MobileHCI, Ubicomp, ISWC, ICMI, SUI, HAI
Journal: IJHCI, TiiS, IPM

Program Committee/Associate Chair
2024: CHI Late-Breaking Work, FAccT, ICWSM
2023: Ubicomp/ISWC demos and posters

Contact

Office: Room 2149, 305 N. University St., Purdue University, West Lafayette, IN 47907

Email: lu800 [AT] purdue.edu