- Social Audience Size as a Reference Point: Evidence from a Field Experiment
- Forthcoming in Management Science.
- Preliminary version appears in POMS 2022 (Virtual), CIST 2022 (Indianapolis), BBTC 2023 (Miami).
- Political Consumerism and the Emergence of Rare Information on User-Generated Content Platforms
- Forthcoming in Management Science.
- Enhancing User Privacy Through Ephemeral Sharing Design: Experimental Evidence from Online Dating
- Information Systems Research, 2025.
- ICIS Best Paper in IS Design, Development and Project Management, 2021.
- Preliminary version appears in CODE 2020 (MIT@Boston), WISE 2020 (Virtual), HCISS 2021 (Virtual), DSI 2021 (Atlanta), CSWIM 2021 (Virtual), ICIS 2021 (Austin).
Selected works on LLM, Human-AI interaction and AI-AI interaction
- Algorithmic Collusion or Competition
- Revising for the third round review in Management Science.
- Preliminary version appears in WDS 2023 (Phoenix), BizAI 2025 (UTD), POMS 2025 (Atlanta), INFORMS 2025 (Atlanta).
- Generate the Future of Work through AI
- Under the third round review in Information Systems Research.
- WITS Best Paper Runner Up, 2023.
- Preliminary version appears in Biz&GenAI 2023 (Wharton@San Francisco), WDS 2023 (Phoenix), AIMLBA 2023 (Temple@Philadelphia), WITS 2023 (Hyderabad, India), AI&Workplace 2024 (Wharton Online), CMIC 2024 (Zhengzhou, China), INFORMS 2024 (Seattle), CIST 2024 (Seattle), POMS 2025 (Atlanta).
- Learning to Adopt Generative AI
- Revising for the second round review in Information Systems Research.
- DSI Best Interdisciplinary Paper Award, 2025.
- Preliminary version appears in Biz&GenAI 2024 (Wharton@San Francisco), INFORMS 2024 (Seattle), CIST 2024 (Seattle), AIMLBA 2024 (Yale@New Haven), POMS 2025 (Atlanta).
- 7B Fully Open Source Moxin-LLM – From Pretraining to GRPO-based Reinforcement Learning Enhancement
- LLM-based Assessment and Teaching Performance
- In preparation for submission to Nature Sensors.
- Open Foundation Models Will Create the Scaling Law of Mind
- In preparation for submission to Nature.
- Can AI Keep AI Safe? Understanding AI-to-AI Safety Monitoring Under Context Dilution
- Major revision in NDSS 2026 (top cybersecurity conference).
- When Content is Goliath and Algorithm is David: The Style and Semantic Effects of Generative Search Engine
- In preparation for submission to Information Systems Research.
- Preliminary version appears in Biz&GenAI 2023 (Wharton@San Francisco), INFORMS 2023 (Phoenix), Biz&AI 2024 (UTD@Dallas).
