| Jul 06, 2026 |
“EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments” is now available on arXiv.
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| Jun 30, 2026 |
I defended my Ph.D. thesis and graduated from BICMR, Peking University. I have joined ByteDance Seed as a researcher.
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| Apr 09, 2026 |
Our paper “DRAW: Domain Weight Randomization with Bayesian Updating for LLM Pre-Training” has been accepted by TMLR.
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| Nov 24, 2025 |
“ODE-based Learning to Optimize” is now published in Mathematical Programming.
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| Sep 18, 2025 |
Our paper “Accelerating Optimization via Differentiable Stopping Time” has been accepted as a spotlight at NeurIPS 2025!
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| 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).
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| 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!
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| 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.
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| Sep 26, 2024 |
I will give a talk titled ‘‘ODE-based Learning to Optimize’’ at The Applied Math PhD Seminar, Fudan University.
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| 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.
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| 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.
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