news

Nov 13, 2026 Our paper “Generative Structure Search for Efficient and Diverse Discovery of Molecular and Crystal Structures” was accepted by Nature Communications! [arXiv]
Oct 26, 2026 Our paper “Interests Burn-down Diffusion Process for Personalized Collaborative Filtering” was published in ACM Transactions on Information Systems (TOIS 2026)!
Oct 19, 2026 I have joined the post-training RL team of Moonshot AI (Kimi) as an intern, working on agentic capabilities for scientific coding.
May 28, 2026 I have joined MiniMax as a Top Talent intern, working on RL post-training for optimization tasks.
Nov 1, 2025 I have joined UCLA Prof. Yizhou Sun’s group as a visiting scholar for one year! My research will focus on AI4Chemistry, exploring the application of flow-based models in reaction dynamics.
Aug 1, 2025 Our paper “PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering” was accepted by ACM Transactions on Information Systems (TOIS 2025)!
Mar 1, 2025 Our paper “GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model” was accepted by the Advancement of Artificial Intelligence (AAAI 2025)!
Dec 30, 2023 Our paper “Learning graph ODE for continuous-time sequential recommendation” was accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE 2024)!
Sep 6, 2023 Our paper “A Diffusion model for POI recommendation” was accepted by ACM Transactions on Information Systems (TOIS 2023)!
Jul 15, 2023 I have graudated from School of EECS, Peking University.
Nov 2, 2022 Our paper “DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation” was accepted by WSDM 2023!
Aug 19, 2022 Our paper “Kernel-based Substructure Exploration for Next POI Recommendation” went into the finalist of the best paper award at ICDM 2022!