| 2026 | CHI | Large Language Model (LLM)-driven Adversarial Social Influences in Online Information Spread: Risks and Interventions. | Zhuoran Lu, Gionnieve Lim, Ming Yin |
| 2025 | CHI | From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis. | Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, Ziang Xiao, Ming Yin |
| 2025 | CHI | Understanding the Effects of Large Language Model (LLM)-driven Adversarial Social Influences in Online Information Spread. | Zhuoran Lu, Gionnieve Lim, Ming Yin |
| 2025 | CHI | Understanding the Effects of AI-based Credibility Indicators When People Are Influenced By Both Peers and Experts. | Zhuoran Lu, Patrick Li, Weilong Wang, Ming Yin |
| 2025 | CHI | WhatELSE: Shaping Narrative Spaces at Configurable Level of Abstraction for AI-bridged Interactive Storytelling. | Zhuoran Lu, Qian Zhou, Yi Wang |
| 2024 | AAAI | Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making. | Zhuoyan Li, Zhuoran Lu, Ming Yin |
| 2024 | IJCAI | Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision Making. | Syed Hasan Amin Mahmood, Zhuoran Lu, Ming Yin |
| 2024 | IUI | Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate. | Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, Ming Yin |
| 2023 | AAAI | Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach. | Zhuoyan Li, Zhuoran Lu, Ming Yin |
| 2023 | CHI | 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, Ming Yin |
| 2023 | EMNLP | Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations. | Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, Ming Yin |
| 2023 | IJCAI | Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance. | Zhuoran Lu, Zhuoyan Li, Chun-Wei Chiang, Ming Yin |
| 2022 | AIES | Towards Better Detection of Biased Language with Scarce, Noisy, and Biased Annotations. | Zhuoyan Li, Zhuoran Lu, Ming Yin |
| 2022 | WWW | Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making. | Xinru Wang, Zhuoran Lu, Ming Yin |
| 2021 | CHI | Human Reliance on Machine Learning Models When Performance Feedback is Limited: Heuristics and Risks. | Zhuoran Lu, Ming Yin |