1.   Zhu Shuchen, Hu Rizhen, Wang Mingze, Sun Mou, Wang Xue, Yuan Kun, Wen Zaiwen, Accelerating LLM Pre-training through Flat-Direction Dynamics Enhancement, NeurIPS 2026

2.   Lu Hongliang, Li Zhong, Chen Yuxuan, Lan Yuan, Zhang Fan, Wen Zaiwen, PEARL: Interactive Optimization Modeling with Tool-Integrated Agentic Reinforcement Learning, NeurIPS 2026

3.   Wang Ziyu, Dai Qiming, Wu Yishan, Wen Zaiwen, FaithSieve: Fine-Grained Evaluation of Math Proofs with Faithful Formal Evidence, NeurIPS 2026

4.   Deng Zhanwang, Hu Jiang, Deng Kangkang, Wen Zaiwen, An efficient primal dual semismooth Newton method for semidefinite programming, Mathematics of Operations Research, arXiv:2504.14333

5.   Zhang Yuan, Hu Jiang, Lai Zhijian, Lin Lin, Wen Zaiwen, Retraction-Free Optimization over the Stiefel Manifold for the LoRA Fine-Tuning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026

6.   Lai Zhijian, An Dong, Hu Jiang, Wen Zaiwen, A Grover-compatible manifold optimization algorithm for quantum search, SIAM Journal on Scientific Computing, arXiv:2512.08432

7.   Li Zhong, Lu Hongliang, Wei Tao, Liu Wenyu, Chen Yuxuan, Lan Yuan, Zhang Fan, Wen Zaiwen, Constructing Industrial-Scale Optimization Modeling Benchmark, ICML 2026, arXiv:2602.10450

8.   Li Chenyi, Nie Yanchen, Ming Zhenyu, Zhang Gong, Yuan Kun, Wen Zaiwen, OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving, ICML 2026

9.   Ke Zhifa, Junyu Zhang, Wen Zaiwen, Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation, IEEE Transactions on Neural Networks and Learning Systems, arXiv:2302.13087

10. Xie Zhonglin, Yin Wotao, Wen Zaiwen, ODE-based learning to optimize, Mathematical Programming, arXiv: 2406.02006, 2025/11

11. Deng Kangkang, Wang Rui, Zhu Zhenyuan, Zhang Junyu, Wen Zaiwen, The Augmented Lagrangian Methods: Overview and Recent Advances, SIAM Review, 2025

12. Xie Zhonglin, Fong Yiman, Yuan Haoran, Wen Zaiwen, Accelerating Optimization via Differentiable Stopping Time, NeurIPS 2025 Spotlight

13. Wang Zichen, Dong Anjie, Wen Zaiwen, Tree-Based Premise Selection for Lean4, NeurIPS 2025

14. Chen Cheng, Chen Ruitao, Li Tianyou, Ao Ruichen, Wen Zaiwen, A Monte Carlo Policy Gradient Method with Local Search for Binary Optimization, Mathematical Programming, arXiv: 2307.00783, 2025/09

15. Deng Kangkang, Hu Jiang, Wu Jiayuan, Wen Zaiwen, Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization, Mathematics of Operations Research, arXiv:2404.05121

16. Lu Hongliang, Xie Zhonglin, Wu Yaoyu, Ren Can, Chen Yuxuan, Wen Zaiwen, OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling, ICML 2025, arXiv:2502.11102

17. Chen Yiming, Zhang Yuan, Liu Yin, Yuan Kun, Wen Zaiwen, A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models, ICML 2025, arXiv:2502.07222

18. Wang Rui, Zhang Chuwen, Pu Shanwen, Gao Jianjun, Wen Zaiwen, A Customized Augmented Lagrangian Method for Block-Structured Integer Programming, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

19. Ke Zhifa, Zhang Junyu, Wen Zaiwen, An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks, ICML 2024

20. Wu Jiayuan, Hu Jiang, Hongchao Zhang, Wen Zaiwen, Convergence analysis of an adaptively regularized natural gradient method, IEEE Transactions on Signal Processing, Vol 72, 2527-2542, 2024

21. Zhao Chenyuan, Guo Zizheng, Wang Rui, Wen Zaiwen, Liang Yun, Lin Yibo, HeLEM-GR: Heterogeneous Global Routing with Linearized Exponential Multiplier Method, IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2024

22. Hu Jiang, Ao Ruicheng, Anthony Man-Cho So, Yang Minghang, Wen Zaiwen, Riemannian Natural Gradient Methods, SIAM Journal on Scientific Computing, Vol. 46, No. 1, A204-A231, 2024

23. Chen Yifan, Wen Zaiwen, Liang Yun and Lin Yibo, Stronger Mixed-Size Placement Backbone Considering Second-Order Information, 2023 IEEE/ACM International Conference on Computer-Aided Design

24. Zhang Yu, Chen Yifan, Xie Zhonglin, Xu Hong, Wen Zaiwen, Lin Yibo and Yu Bei, LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition, 2023 60th ACM/IEEE Design Automation Conference

25. Chen Yiming, Wang Rui, Zhu Jinglong, Wen Zaiwen, Decoding LDPC Codes by Using Negative Proximal Regularization, IEEE Transactions on Communications, Vol. 71, No. 7, 3835-3846, 2023

26. Wang Yifei, Deng Kangkang, Liu Haoyang, Wen Zaiwen, A Decomposition Augmented Lagrangian Method for Low-rank Semidefinite Programming, SIAM Journal on Optimization, Vol. 33, No. 3, 1361-1390, 2023

27. Li Yongfeng, Zhao Mingming, Chen Weijie, Wen Zaiwen, A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning, SIAM Journal on Optimization, Vol. 33, No.2, 921-949, 2023

28. Yang Minghan, Xu Dong, Cui Qiwen, Wen Zaiwen, Xu Pengxiang, An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, No. 5, 5391-5403, 2023

29. Chen Fan, Zhang Junyu, Wen Zaiwen, A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP, NeurIPS 2022, arXiv:2207.06147

30. Zhang Jiaqi, Jin Zeyu, Jiang Bo, Wen Zaiwen, Stochastic Augmented Projected Gradient methods for the Precoding Matrix Indicator Problem, IEEE Transactions on Wireless Communications, Vol. 21, No. 11, 9553 – 9565, 2022

31. Jiang Bo, Meng Xiang, Wen Zaiwen, Chen Xiaojun, An exact penalty approach for optimization with nonnegative orthogonality constraints, Mathematical Programming, Vol. 198, 855–897, 2023

32. Yang Minghan, Xu Dong, Chen Hongyu, Wen Zaiwen, Chen Mengyun, Structured Stochastic Quasi-Newton Methods for Large-Scale Optimization Problems, 10654-10663, CVPR 2021

33. Zhang Haixiang, Andre Milzarek, Wen Zaiwen*, Yin Wotao; On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint, Mathematical Programming, accepted, 2021

34. Yang Minghan, Andre Milzarek, Wen Zaiwen, Zhang Tong; A Stochastic Extra-Step Quasi-Newton Method for Nonsmooth Nonconvex Optimization, Mathematical Programming, accepted, 2021

35. Wang Yifei, Jia Zeyu, Wen Zaiwen*, Search direction Correction with normalized gradient makes first-order methods faster, SIAM Journal on Scientific Computing, Vol. 43, No. 5, A3184–A3211, 2021

36. Li Yongfeng, Liu Haoyang, Wen Zaiwen*, and Yuan Yaxiang, Low-rank Matrix Optimization Using Polynomial-filtered Subspace Extraction, SIAM Journal on Scientific Computing, Vol 42, No. 3, A1686–A1713, 2020

37. Duan Yaqi, Wang Mengdi, Wen Zaiwen*, Yuan Yaxiang; Adaptive Low Rank Approximation for State Aggregation of Markov Chain, SIAM Journal on Matrix Analysis and Applications, Vol 41, No. 1, pp. 244-278, 2020

38. Tian Tonghua, Cai Yongyong, Wu Xinming, Wen Zaiwen*, Ground States of Spin-F Bose–Einstein Condensates, SIAM Journal on Scientific Computing, Vol 42, No. 4, B983–B1013, 2020

39. Andre Milzarek, Xiao Xiantao, Cen Sicong, Wen Zaiwen*, Michael Ulbrich; A stochastic semi-smooth Newton method for nonsmooth nonconvex optimization, SIAM Journal on Optimization, Vol 29, No. 4, pp. 2916–2948, 2019

40. Hu Jiang, Jiang Bo, Lin Lin, Wen Zaiwen*, Yuan Yaxiang, Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints, SIAM Journal on Scientific Computing, Vol. 41, No. 4, pp. A2239-A2269, 2019

41. Li Yongfeng, Wen Zaiwen*, Yang Chao, Yuan Yaxiang; A Semi-smooth Newton Method For semidefinite programs and its applications in electronic structure calculations; SIAM Journal on Scientific Computing; Vol 40, No. 6, 2018, A4131–A4157

42. Hu Jiang, Wen Zaiwen*, Andre Milzarek, Yuan Yaxiang; Adaptive Quadratically Regularized Newton Method for Riemannian Optimization; SIAM Journal on Matrix Analysis and Applications; Vol 39, No. 3, 2018, pp 1181-1207

43. Wen Zaiwen*, Zhang Yin; Accelerating Convergence by Augmented Rayleigh-Ritz Projections For Large-Scale Eigenpair Computation; SIAM Journal on Matrix Analysis and Applications; Vol 38, No. 2 (2017), pp. 273-296

44. Jiang Bo, Liu Yafeng, Wen Zaiwen*; Lp-norm regularization algorithms for optimization over permutation matrices; SIAM Journal on Optimization; Vol 26, No. 4(2016), pp. 2284-2313

45. Michael Ulbrich, Wen Zaiwen*, Yang Chao, Dennis Klockner, Lu Zhaosong; A Proximal Gradient Method for Ensemble Density Functional Theory; SIAM Journal on Scientific Computing; Vol 37, No. 4 (2015), A1975–A2002

46. Liu Xin, Wen Zaiwen, Wang Xiao, Michael Ulbrich, Yuan Yaxiang; On the Analysis of the Discretized Kohn-Sham Density Functional Theory; SIAM Journal on Numerical Analysis; Vol 53, No. 4 (2015), 1758–1785

47. Liu Xin, Wen Zaiwen, Zhang Yin; An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations; SIAM Journal on Optimization; Vol. 25, No. 3 (2015), 1571–1608

48. Liu Xin, Wang Xiao, Wen Zaiwen, Yuan Yaxiang; On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory; SIAM Journal on Matrix Analysis and Applications; Vol. 35, No. 2(2014), pp. 546–558

49. Zhang Xin, Zhu Jinwei, Wen Zaiwen*, Zhou Aihui; Gradient-type Optimization Methods for Electronic Structure Calculation; SIAM Journal on Scientific Computing; Vol. 36, No. 3 (2014), pp. C265–C289

50. Wang Lanhui, Amit Singer, Wen Zaiwen; Orientation Determination from Cryo-EM images Using Least Unsquared Deviation; SIAM Journal on Imaging Sciences; vol. 6, no. 4(2013), 2450–2483

51. Wen Zaiwen*, Michael Ulbrich, Andre Milzarek, Zhang Hongchao; Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation; SIAM Journal on Scientific Computing; Vol 35, No. 3 (2013) A1299–A1324

52. Liu Xin, Wen Zaiwen, Zhang Yin; Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions; SIAM Journal on Scientific Computing; 35 (2013) A1641–A1668

53. Wen Zaiwen*, Yin Wotao; A Feasible method for Optimization with Orthogonality Constraints; Mathematical Programming; 142(2013), 397-434

54. Wen Zaiwen*, Yin Wotao, Donald Goldfarb, Zhang Yin; A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization and continuation; SIAM Journal on Scientific Computing; 32 (2010) 1832-1857.

55. Wen Zaiwen*, Donald Goldfarb; A Line search Multigrid Method for Large-Scale Nonlinear Optimization; SIAM Journal on Optimization; 20 (2010) 1478-1503.

56. Donald Goldfarb, Wen Zaiwen*, Yin Wotao; A Curvilinear Search Method for the p-Harmonic Flow on Spheres; SIAM Journal on Imaging Sciences; 2 (2009) 84-109.