“Deep-learning Causal Retrieval Optimization for Efficient e-commerce Distribution in Pinterest” received the Best Paper Runner-Up Award in the Applied Data Science Track at KDD 2026.
Selected updates
News
A chronological record of selected recognition, talks, media, and ideas carried into practice.
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2026
Q2B Studio covered our causal retrieval work, focusing on how deep uplift modeling can reduce shopping-candidate triggers by up to 85% while preserving key shopping sessions and improving engagement.
“MESH: Scaling Up Retrieval with Heterogeneous Content Unification” was selected for a long oral presentation at ACM RecSys 2026.
“Deep-learning Causal Retrieval Optimization for Efficient e-commerce Distribution in Pinterest” was selected for an oral presentation at KDD 2026.
2025
2024
I was invited back to UT Dallas to give the Physics Colloquium “When Physics meets Computer Science: two case studies of quantum Internet and machine-guided optical inverse design.”
The momentum-space Josephson effects proposed in our 2018 work were experimentally observed in weakly coupled Bose–Einstein condensates.
I was invited to give a Physics Theory Seminar at Washington University in St. Louis on “Virus spread in quantum Internet.”
2022
2021
2019
2018
Newsweek covered our proposal for a superfluid quasicrystal under the headline “Superfluid Quasicrystal: Physicists Propose an Entirely New Form of Matter—And How to Make It”; the work was also featured by ScienceDaily, Phys.org, UT Dallas News, and AAAS’s EurekAlert.
“Momentum-Space Josephson Effects” was selected as an Editors’ Suggestion by Physical Review Letters.