| Jul 06, 2026 | “EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments” is now available on arXiv. |
| Jun 30, 2026 | I defended my Ph.D. thesis and graduated from BICMR, Peking University. I have joined ByteDance Seed as a researcher. |
| Apr 09, 2026 | Our paper “DRAW: Domain Weight Randomization with Bayesian Updating for LLM Pre-Training” has been accepted by TMLR. |
| Nov 24, 2025 | “ODE-based Learning to Optimize” is now published in Mathematical Programming. |
| Sep 18, 2025 | Our paper “Accelerating Optimization via Differentiable Stopping Time” has been accepted as a spotlight at NeurIPS 2025! |
| Jun 04, 2025 | I will present “OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling” at ICCOPT 2025 in Los Angeles, University of Southern California (pending US visa approval). |
| Jun 04, 2025 | Our paper “OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling” has been accepted as a poster presentation at ICML 2025! I will attend the conference (pending Canadian visa approval). Find us at Vancouver! |
| Apr 03, 2025 | I will give two talks titled ‘‘OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling ‘’ and ‘‘Accelerating Optimization via Differentiable Stopping Time’’ at MOS2025. |
| Sep 26, 2024 | I will give a talk titled ‘‘ODE-based Learning to Optimize’’ at The Applied Math PhD Seminar, Fudan University. |
| Jun 05, 2024 | I will present the “ODE-based Learning to Optimize” at the poster session of 2024 International Workshop on Modern Optimization and Applications. The poster can be found here. |
| May 26, 2024 | I will give a talk at The China conference on Scientific Machine Learning 2024 on the session of recent advances on learning to optimize. |