June 2025: Our two working papers ""Beyond Black-Box: Structuring Multi-Stage Recommender Systems Using Predicted Intents" and "Blessing of Reasoning: Value of LLM-Generated Explanations in Black-Box Recommender Systems" have been accepted by the Actionable Interpretability Workshop at ICML 2025.
May 2025: Awarded the Steven Shugan Best Junior Faculty Paper Award at the AI in Management Conference (AIM 2025) for the paper "Beyond Black-Box: Structuring Multi-Stage Recommender Systems Using Predicted Intents". Named finalist for the paper "Blessing of Reasoning: Value of LLM-Generated Explanations in Black-Box Recommender Systems". Thank you for the recognition!
May 2025: Invited talk at 2025 InsightsOn Conference at Yale School of Management.
May 2025: Invited panelist on the AI faculty panel at the Stanford GSB Staff Town Hall.
Mar 2025: Served as a session moderator and speaker at the Bridging Humans and Machines: Advancing Alignment in AI Conference.
Mar 2025: Invited talk at the AIM Conference at USC.
Feb 2025: Invited talk at the 19th Annual Bass FORMS Conference.
Jan 2025: Invited panelist and thought leader at the 2025 West Coast Leadership Dialogue (WCLD).
Dec 2024: Invited panelist for the 2024 Yale AIML Conference. Thank you for the invitation!
Nov 2024: Our paper "Going Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems" was accepted by KDD 2025.
Oct 2024: Invited to join the Editorial Review Board (ERB) at Marketing Science. Grateful for the opportunity!
Sept 2024: My work was covered by Stanford Report and Insights by Stanford Business.
Aug 2024: Named as the Kevin J. O’Donohue Family Faculty Scholar for the 2024-2025 academic year.
Aug 2024: Served on the Oral Examination Committee for Yuwei Luo from the OIT group at Stanford GSB. Congrats Yuwei!
May 2024: Ada and I co-organized the Stanford GSB Marketing Camp 2024.
May 2024: "Recommending for a Multi-Sided Marketplace: A Multi-Objective Hierarchical Approach" was accepted at Marketing Science.
Apr 2023: Our KDD 2022 paper "Surrogate for Long-Term User Experience in Recommender Systems" was selected among the Most Influential KDD Papers.
Oct 2022: Won the Best Paper Award at CIST 2022.