Publications
Chenyu Zhou, Hongpei Li, Yuerou Liu, Jianghao Lin, Dongdong Ge, Yinyu Ye (2026). OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention. arXiv.
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Hongpei Li, Yicheng Huang, Huikang Liu, Dongdong Ge, Yinyu Ye (2026). PDHCG-II: An Enhanced Version of PDHCG for Large-Scale Convex QP. arXiv.
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Hongpei Li, Yicheng Huang, Huikang Liu, Dongdong Ge, Yinyu Ye (2026). D-PDLP: Scaling PDLP to Distributed Multi-GPU Systems. arXiv.
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Hongpei Li, Ziyan He, Yufei Wang, Wenting Tu, Shanwen Pu, Qi Deng, Dongdong Ge (2025). BenLOC: A Benchmark for Learning to Configure MIP Optimizers. arXiv.
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Huikang Liu, Yicheng Huang, Hongpei Li, Dongdong Ge, Yinyu Ye (2025). PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation. arXiv.
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Yicheng Huang, Wanyu Zhang, Hongpei Li, Huikang Liu, Dongdong Ge, Yinyu Ye (2025). A Restarted Primal-Dual Hybrid Conjugate Gradient Method for Large-Scale Quadratic Programming. Accepted by INFORMS Journal on Computing.
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Hongpei Li, Hui Yuan, Han Zhang, Jianghao Lin, Dongdong Ge, Mengdi Wang, Yinyu Ye (2025). FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming. Accepted by ICLR 2026.
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Hongpei Li, Han Zhang, Huikang Liu, Dongdong Ge, Yinyu Ye (2025). OptPipe: Memory- and Scheduling-Optimized Pipeline Parallelism for LLM Training. arXiv.
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Hongpei Li, Han Zhang, Ziyan He, Yunkai Jia, Bo Jiang, Xiang Huang, Dongdong Ge (2024). Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning. arXiv.
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