Optimization
1.C.H. Chen, R. Chan, S. Q. Ma and J. F. Yang . Inertial proximal alternating direction method of multipliers for linearly constrained separable convex optimization. SIAM Journal on Imaging Science, 2015, 8(4), 2239-2267, 2015.
2. C. H. Chen, S. Q. Ma and J. F. Yang. A general inertial proximal point method for mixed variational inequality problem.SIAM Journal on Optimization, 25(4):2120–2142, 2015
3.C.H. Chen, Y. J. Liu, D. F. Sun and K. C. Toh. A Semismooth Newton-CG Based Dual PPA for Matrix Spectral Norm Approximation Problems. Mathematical Programming, Ser. A,155:435-470, 2016.
4.C.H. Chen, B.S. He, Y.Y. Ye and X.M. Yuan. The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent. Mathematical Programming, Ser. A,155:57-79, 2016.
5.C. H. Chen, M. Li, X.Liu and Y. Y. Ye. Extended ADMM and BCD for non-separable convex minimization models with quadratic coupling terms: convergenceanalysis and insights. Mathematical Programming, Ser. A, 173:37-77, 2019.
6. Q.S. Han, C.X. Li, Z.W. Lin, C.H. Chen, Q. Deng, D.D. Ge, H.K. Liu and Y.Y. Ye. A Low-Rank ADMM Splitting Approach for Semidefinite Programming. Informs Journal on Computing, 2025.
7. Q.S. Han, Z.W. Lin, H.W. Liu, C.H. Chen, Q. Deng, D.D. Ge and Y.Y. Ye. Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU. Under Revision at PNAS, 2025.
8. J.J. Li, C.H. Chen and A.M.C. So. Towards a First-Order Algorithmic Framework for Wasserstein Distributionally Robust Optimization. Manuscript, 2024.
9. Y.W. Wu, C.H. Chen, C.L. Chen, S.H. Jiang and A. Lim. Nonconvex Regularization for Markov Decision Processes: Modeling and Algorithms. IEEE Transcation on Automatic Control, 2025.
Management Science
1. Y. Zhao, Z.X. Luo, S. Lim, C.H. Chen and M. Sim. Service Oriented Considerate Routing: Data, Predictions and Robust Decisions. Management Science, 2026.
2. C.H. Chen, J.H. Tao and Y. Zhan. Pairwise Stability in Weighted Network Formulation Games: Selection and Computation. Informs Journal on Computing, 2025.
3. Z.Q. Chen, C.H. Chen, J.S. Cui, Q.Hu and W. Xu. Distributionally Robust Wind Planing with Decision -dependent Uncertainty. Under Revison at POMS, 2025.
4. S.Y. Song, H.Q. Chen, H.C. Shen and C.H. Chen. Inventory Control with Quantity-Dependent Ordering Costs. Under Revision at POMS, 2026,
5. M. Xu, C.H. Chen and H.W. Shen. Regret-Computational Efficiency Trade-off in High-dimensional Online Pricing. Under Revision at Informs Journal on Computing, 2025.
6. W.J. Shen, C.H. Chen, Z.L. Wang, Z.J. Zheng, R.W. Jiang and H. Yang. Spatiotemporal pattern detection of traffic dynamics: A robust tensor decomposition-based approach. Under Revision at Transportation Science, 2025.
7. J.W. Yang, Y. Zhan, C.H. Chen and Y.Y. Ye. Convergence to Expected Equalibrium Price in Stochastic Online Fisher Markets: A Human-AI Collaborative Study, Manuscript, 2026.
8. J.W. Yang, X.Y. Lu, C.H. Chen, W. Lu, B.Z. Niu and J. Zhou. A Learning and Rectification Algorithm for Nonstationary Online Linear Programming, Manuscript, 2026.
9. W.X. Chen, C.H. Chen, H.C. Shen, R.X. Wang and W.L. Xue. Dynamic Assortment with Consideration Set: Graph Learning Policy under the Threshold Multinomial Logit Model. Manuscript, 2026.
10. J.W. Yang, C.H. Chen, Z. Wang and Z.Z. Wang. Joint Pricing and Inventory Decisions under Unknown Demand: A Satisfacing Approach with Shape Information. Manuscript, 2026.
11. C.H. Chen, D.D. Ge, and Y.Y. Ye. Optimization and Operations Research in Mitigation of a Pandemic. Journal of the Operations Research Society of China, 2021.
12. Q. Hu, K. Li, X.Y. Lu, C.H. Chen, Z.X. Luo and Z.B. Zhu. Accerlating Practical Portfolio Rebalancing via Integer Programming and Machine Learing. Manuscript, 2026
Machine Learning
1. J.J. Li, C.H. Chen and A.M.C.So. Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. NeurIPS, 2020.
2. Y. Zhao, Y.W. Wu, C.H. Chen and A. Lim. On ismometry robustness of deep3D point cloud models under adversarial attacks. CVPR, 2020.
3. Y.D. Zhu, Y.Y. Zhu, D.Y. Dong, C.H. Chen and C.L. Chen. Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition. AAAI, 2026.
4. S. Zhang, S.Y. Liang, Y.N. Tan, Z.W. Chen, L.Z. Li, G. Wu, Y.H. Chen, S.H. Li, Z.Y. Zhao, C.H. Chen, J.J. Liang and Y. Tang. LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding. NeurIPS, 2025.
5. C.X. She, Z.Q. Chen, X.Y. Lu, C.H. Chen, P.Y. Zhao and X.D. Wang. Crossroads of Optimization under Uncertainty: How to Choose the Optimal Model. ACL, 2026.
6. M. Xu, X.Y. Yin, C.H. Chen, Y.X. Han, H.C. Shen and Y.F. Zhang. Doubly Robust Distributionally Robust Offline Contextual Pricing. Manuscript, 2026.
