師資
簡(jiǎn)歷
教育背景
2014 年，加拿大維多利亞大學(xué) ，數(shù)學(xué)與統(tǒng)計(jì)系 ，獲 應(yīng)用數(shù)學(xué) 哲學(xué)博士學(xué)位
Ph.D Thesis: Enhanced Optimality Conditions and New Constraint Qualifications for Nonsmooth Optimization Problems
Supervisor: Professor Jane Juanjuan Ye
2010 年，大連理工大學(xué)，數(shù)學(xué)科學(xué)學(xué)院，獲 應(yīng)用數(shù)學(xué) 理學(xué)碩士學(xué)位
Supervisor: 林貴華 教授
2007 年，大連理工大學(xué)，人文社會(huì)科學(xué)學(xué)院，獲 新聞學(xué) 文學(xué)學(xué)士學(xué)位
工作經(jīng)歷
2024年12月至今，南方科技大學(xué)，數(shù)學(xué)系，教授
2022年12月至2024年11月，南方科技大學(xué)，數(shù)學(xué)系，Tenure-track 副教授
2019年1月至 2022年11月，南方科技大學(xué)，數(shù)學(xué)系，Tenure-track 助理教授
2015年4月至 2019年1月，香港浸會(huì)大學(xué)，數(shù)學(xué)系，研究助理教授
2023年2月至今，深圳國(guó)家應(yīng)用數(shù)學(xué)中心，副主任
2021年9月至 2023年1月，深圳國(guó)家應(yīng)用數(shù)學(xué)中心 ，主任助理
科研
研究領(lǐng)域
最優(yōu)化理論：變分分析，非光滑分析 ，擾動(dòng)分析
雙層規(guī)劃 （均衡約束數(shù)學(xué)規(guī)劃）理論、算法及在機(jī)器學(xué)習(xí)、理論經(jīng)濟(jì)學(xué)中應(yīng)用
誤差界條件及一階優(yōu)化算法線性收斂率分析
隨機(jī)規(guī)劃 / 魯棒優(yōu)化
基金項(xiàng)目
主持：國(guó)家自然科學(xué)基金 數(shù)學(xué)天元重點(diǎn)項(xiàng)目, "大模型約化的數(shù)學(xué)理論與方法", 2024-2025 ，100 萬(wàn)（在研）
主持：科技部重點(diǎn)研發(fā)計(jì)劃項(xiàng)目課題，“面向多模影像數(shù)據(jù)的深度學(xué)習(xí)模型研究” ，2024-2028 ，320 萬(wàn)（在研）
參與：國(guó)家自然科學(xué)基金 重點(diǎn)項(xiàng)目, "基于多智能體協(xié)同學(xué)習(xí)的屏幕混合內(nèi)容編碼理論與方法", 2024-2028（在研）
主持：國(guó)家自然科學(xué)基金 優(yōu)青項(xiàng)目, ”最優(yōu)化理論與方法“, 2023-2025, 200 萬(wàn)（在研）
主持：廣東省自然科學(xué)基金 杰青項(xiàng)目, ”雙層規(guī)劃理論、方法與應(yīng)用“, 2022-2025, 100 萬(wàn)（在研）
主持：深圳市優(yōu)秀科技創(chuàng)新人才培養(yǎng) 優(yōu)青項(xiàng)目, ‘’元學(xué)習(xí)和超參數(shù)學(xué)習(xí)驅(qū)動(dòng)的雙層規(guī)劃模型與算法‘’, 2021-2024. 180 萬(wàn) (在研)
主持：深圳市高等院校穩(wěn)定支持計(jì)劃 面上項(xiàng)目,‘’雙層規(guī)劃模型研究及其在契約理論中的應(yīng)用‘’, 2021-2023. 50 萬(wàn) (結(jié)題)
主持：國(guó)家自然科學(xué)基金 面上項(xiàng)目, "基于變分分析的分裂算法線性收斂率研究'', 2020 - 2023. 52 萬(wàn) (在研)
主持：國(guó)家自然科學(xué)基金 青年項(xiàng)目, "關(guān)于規(guī)?；p層規(guī)劃問(wèn)題的最優(yōu)性與算法研究'', 2017 - 2019. 20 萬(wàn). (結(jié)題)
主持：Research Grants Council of Hong Kong, "Linear convergence of the (randomized block coordinate) proximal gradient methods via variational analysis'', 2018 - 2021. 30 萬(wàn). (離職中止)
科研獎(jiǎng)項(xiàng)
國(guó)家自然科學(xué)基金 優(yōu)青項(xiàng)目（ 2023）
廣東省科技廳 青年科技創(chuàng)新獎(jiǎng)（ 2022）
廣東省自然科學(xué)基金 杰青項(xiàng)目（ 2022）
深圳市優(yōu)秀科技創(chuàng)新人才培養(yǎng) 優(yōu)青項(xiàng)目（ 2021）
中國(guó)運(yùn)籌學(xué)會(huì) 青年科技獎(jiǎng) (2020）
南方科技大學(xué) 理學(xué)院青年科研獎(jiǎng) (2020)
教學(xué)
MATH3205: Linear and Integer Programming, Fall 2016, HKBU
MATH3427: Real Analysis, Fall 2016, HKBU
MATH1006: Advanced Calculus, Spring 2018, HKBU
MA210: Operations Research, Spring 2019/Spring 2020/Spring 2021/Spring 2022/Spring 2023,SUSTech
MA433: Optimization Theory and Method, Fall 2019/Fall 2020, SUSTech
MA101B: Calculus, Fall 2020, SUSTech
MAT7083: Convex Optimization Algorithm, Fall 2021/Fall 2022/Fall 2023, SUSTech
課題組成員
研究助理教授：
堯偉 博士（ 2022.6 - 至今）, 武漢大學(xué) (本科), 香港中文大學(xué) (博士) ，南方科技大學(xué) (博士后研究員)
長(zhǎng)期訪問(wèn)學(xué)者:
晁棉濤 副教授 (2022.1 - 2023.1) , 廣西大學(xué)
胡清潔 教授 (2022.1 - 2023.1) , 桂林電子科技大學(xué)
白曠 助理教授 (2022.2 - 2022.8), 香港理工大學(xué)
朱江醒 副教授 (2021.1 - 2022.1) , 云南大學(xué)
李培麗 副教授 (2023.7 - 至今 ) 河南大學(xué)
博士后研究人員:
堯偉 博士（ 2020.4 - 2022.5）, 武漢大學(xué) (本科), 香港中文大學(xué) (博士)
羅璇 博士 ( 2021.8 - 至今）, 華中科技大學(xué) (本科), 香港城市大學(xué) (博士)
胡春海 博士（ 2022.6 - 至今）, 云南大學(xué) (本科/博士)
毛偉豪 博士 (2023.3 - 至今）, 武漢理工大學(xué) (本科), 廈門(mén)大學(xué) (博士)
尹海安 博士 (2023.7 - 至今）, 東南大學(xué) (本科), 南方科技大學(xué) (碩士/博士)
博士研究生:
尹海安（ 2019.9 - 2023.6）, 東南大學(xué) (本科), 南方科技大學(xué) (碩士). 南科大 2023 屆優(yōu)秀博士學(xué)位論文 ，中國(guó)運(yùn)籌學(xué)會(huì)第一屆“運(yùn)籌新人”邀請(qǐng)報(bào)告，現(xiàn)深圳國(guó)家應(yīng)用數(shù)學(xué)中心博士后研究員
宋一俠（ 2021.9 - 至今）, 鄭州大學(xué) (本科), 南方科技大學(xué) (碩士)
楊佩璇 ( 2022.9 - 至今) ，吉林大學(xué) (本科), 南開(kāi)大學(xué) (碩士)
白曉寧 (2023.9 - 至今) ，東北大學(xué)（本科）, 北京理工大學(xué)（碩士）
張旅剛（ 2024.9 - ） ，吉林大學(xué)（本科） ，直博
曹啟超（ 2024.9 - ）, 電子科技大學(xué) (本科/碩士)
聯(lián)合培養(yǎng)博士研究生:
馬耀帥 (主導(dǎo)師：鵬城實(shí)驗(yàn)室 王曉 教授, 2022.9 - 至今), 遼寧師范大學(xué) (本科), 廣西大學(xué) (碩士)
張藝萱 (主導(dǎo)師：香港理工大學(xué) 陳小君 教授, 2022.9 - 至今), 北京師范大學(xué) (本科), 南方科技大學(xué) (碩士)
李珊珊 (主導(dǎo)師：鵬城實(shí)驗(yàn)室 王曉 教授, 2023.9 - ), 電子科技大學(xué) (碩士)
碩士研究生：
宋一俠（ 2018.9 - 2021.7）, 鄭州大學(xué) (本科), 現(xiàn)南方科技大學(xué)博士研究生
余承銘（ 2019.9 - 2023.6）, 大連理工大學(xué) (本科)
張藝萱（ 2020.9 - 2022.7）, 北京師范大學(xué) (本科)，南科大理學(xué)院2022屆優(yōu)秀畢業(yè)生，南科大2022屆優(yōu)秀碩士學(xué)位論文 ，現(xiàn)香港理工大學(xué)博士研究生
孫凱祺（ 2021.9 - 至今）, 湘潭大學(xué) (本科)
王非凡 (2022.9 - 至今)，南方科技大學(xué) (本科)
陳澄（ 2022.9 - 至今）, 杭州電子科技大學(xué) (本科)
章志豪 (2022.9 - 至今 )，吉林大學(xué) (本科)
訪問(wèn)博士研究生:
楊振平（ 2019.1 - 2019.7）, 上海大學(xué) ，現(xiàn) 嘉應(yīng)學(xué)院 副教授
曾尚志（ 2019.9 - 2020.3, 2020.7- 2021.9）, 香港大學(xué)，現(xiàn)維多利亞大學(xué)PIMS博士后研究員, 合作導(dǎo)師Jane Ye教授
丁彥昀（ 2020.6 - 2023.6）, 北京工業(yè)大學(xué) ，現(xiàn)深圳職業(yè)技術(shù)學(xué)院講師
馬笑笑 （ 2020.8 - 2021.8）, 維多利亞大學(xué)
褚天舒（ 2023.3 - 至今）, 北京工業(yè)大學(xué)
發(fā)表論著
代表著作（ My co-authored works always list the authors in the alphabetical order of their names to indicate equal contributions, except the works in collaboration with mainland students due to their graduation requirements）：
R.S. Liu, Z. Liu, W. Yao, S.Z. Zeng and J. Zhang, Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy, preprint 2024.
R.Z. Ke, C. Ryan and J. Zhang, A max-min reformulation approach to nonconvex bilevel optimization, preprint 2023.
Z.S. Lu, S.Y. Mei and J. Zhang, Sequential minimax optimization methods for bilevel optimization with strongly convex lower-level objective function, preprint 2023.
X.X. Ma, W. Yao, J.J. Ye and J. Zhang, Calm local optimality for nonconvex-nonconcave minimax problems, preprint 2023.
L Gao, J.J. Ye, H.A. Yin, S.Z. Zeng and J. Zhang, Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs, preprint 2023.
R.S. Liu, Y.H. Liu, S.Z. Zeng and J. Zhang, Augmenting Iterative Trajectory for Bilevel Optimization: Methodology, Analysis and Extensions, preprint 2023.
X.M. Yang, W. Yao, H.A. Yin, S.Z. Zeng and J. Zhang, Gradient-based Algorithms for Multi-Objective Bi-Level Optimization, preprint 2023.
D. Wang, S.Z. Zeng and J. Zhang, A modularized algorithmic framework for interface related optimization problems using characteristic functions, preprint 2022.
M. Gao, W. Ouyang, J. Zhang and J.X. Zhu, Generalized metric subregularity for generalized subsmooth multifunctions in Asplund space, preprint 2022.
Y.W. Li, G.H. Lin, J. Zhang and X.D. Zhu, A novel approach for bilevel programs based on Wolfe duality, preprint 2021.
W. Yao, C.M. Yu, S.Z. Zeng and J. Zhang, Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm, ICLR 2024 spotlight presentation (<5% out of 7262 submissions)
X.F. Wang, S.Z. Zeng, J. Zhang and J.C. Zhou, Proximal-based Methods can Guarantee Blunt Local Minimizer for Nonconvex Nonsmooth Optimization Problem, Operations Research Transactions 2023 (in Chinese)
R.S. Liu, X. Liu, S.Z. Zeng, J. Zhang and Y.X. Zhang, Hierarchical Optimization-Derived Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence 2023
R.S. Liu, X. Liu, S.Z. Zeng, J. Zhang and Y.X. Zhang, Value-Function-based Sequential Minimization for Bi-level Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence 2023
K. Bai, Y.X. Song and J. Zhang, Second-order enhanced optimality conditions and constraint qualifications, Journal of Optimization Theory and Applications 2023
M. Benko, H. Gfrerer, J.J. Ye, J. Zhang and J.C. Zhou. Second-order optimality conditions for general nonconvex optimization problems and variational analysis of disjunctive systems, SIAM Journal on Optimization 2023
G.H. Lin, Z.P. Yang, H.A. Yin and J. Zhang, Dual-based stochastic inexact algorithm for a class of stochastic nonsmooth convex composite problems, Computational Optimization and Applications 2023.
R.S. Liu, X. Liu, W. Yao, S.Z. Zeng and J. Zhang, Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity, International Conference on Machine Learning (ICML) 2023.
L. Guo, J.J. Ye and J. Zhang, Sensitivity analysis of the maximal value function with applications in nonconvex minimax programs, Mathematics of Operations Research, 2023. Available at arXiv: 2303.01474
X.X. Ma, W. Yao, J.J. Ye and J. Zhang, Combined approach with second-order optimality conditions for bilevel programming problem, Journal of Convex Analysis 2023 (special issue in honor of Roger J-B Wets on his 85th birthday). Available at arXiv: 2108.00179v2
J.J. Ye, X.M. Yuan, S.Z. Zeng and J. Zhang, Difference of convex algorithms for bilevel programs with applications in hyperparameter selection, Mathematical Programming 2022. Available at arXiv (2102.09006).
L Chen, Y.C. Liu, X.M. Yang and J. Zhang, Stochastic approximation methods for the two-stage stochastic linear complementarity problem, SIAM Journal on Optimization 2022.
L Gao, J.J. Ye, H.A. Yin, S.Z. Zeng and J. Zhang. Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems, International Conference on Machine Learning (ICML) 2022. Available at arXiv (2206.05976).
R.S. Liu, X. Liu, S.Z. Zeng, J. Zhang and Y.X. Zhang, Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training, International Conference on Machine Learning (ICML) 2022.
B. Mordukhovich, X.M. Yuan, S.Z. Zeng and J. Zhang, A globally convergent proximal Newton-type method in nonsmooth convex optimization, Mathematical Programming 2022. Available at arXiv: 2011.08166
R.S. Liu, P. Mu, X.M. Yuan, S.Z. Zeng and J. Zhang, A generic descent aggregation framework for gradient-based bilevel optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence 2022. (pdf)
R.S. Liu, L. Ma, X.M. Yuan, S.Z. Zeng and J. Zhang, Task-Oriented Convex Bilevel Optimization with Latent Feasibility, IEEE Transactions on Image Processing 2022.
J. Zhang and X.D. Zhu, Linear convergence of prox-SVRG method for separable nonsmooth convex optimization problems under bounded metric subregularity, Journal of Optimization Theory and Applications 2022.
R.Z. Ke, W. Yao, J.J. Ye and J. Zhang, Generic property of the partial calmness condition for bilevel programming problems, SIAM Journal on Optimization, 2022 Available at arXiv (2107. 14469).
R.S. Liu, Y.H. Liu, S.Z. Zeng and J. Zhang, Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond, NeurIPS Spotlight paper (< 3% out of 9122 submissions) 2021 L. Wang, H. Yin and J. Zhang, Density-based Distance Preserving Graph for Graph-based Learning, IEEE Transactions on Neural Networks and Learning Systems, 2021
R.S. Liu, P. Mu and J. Zhang, Investigating Customization Strategies and Convergence Behaviors of Task-specific ADMM, IEEE Transactions on Image Processing 2021
R.Z. Ke and J. Zhang, On the First Order Approach for Bilevel Programming: Moral Hazard Case, Operations Research Transactions 2021 (in Chinese) (pdf)
J.J. Ye, X.M. Yuan, S.Z. Zeng and J. Zhang, Variational analysis perspective on linear convergence of some first order methods for nonsmooth convex optimization problems, Set-Valued and Variational Analysis 2021 (special issue dedicated to Tyrrell Rockafellar's 85th birthday) (pdf)
R.S. Liu, X. Liu, X.M. Yuan, S.Z. Zeng and J. Zhang, A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization, International Conference on Machine Learning (ICML) 2021 (pdf)
Y.C. Liu and J. Zhang, Confidence Regions of Stochastic Variational Inequalities: Error Bound Approach, Optimization, 2020, (pdf)
Y.C. Liu, X.M. Yuan and J. Zhang, Discrete Approximation Scheme in Distributionally Robust Optimization, Numerical Mathematics: Theory, Methods and Applications, 2020, (pdf)
X.F. Wang, J.J. Ye, X.M. Yuan, S.Z. Zeng and J. Zhang, Perturbation techniques for convergence analysis of proximal gradient method and other first-order algorithms via variational analysis, Set-Valued and Variational Analysis, 2020 (pdf)
R.S. Liu, P. Mu, X.M. Yuan, S.Z. Zeng and J. Zhang, A generic first-order algorithmic framework for bi-Level programming beyond lower-level singleton, International Conference on Machine Learning (ICML) 2020 (pdf, supplementary, slides)
C. Fang, X.Y. Ma, J. Zhang and X.D. Zhu, Personality information sharing in supply chain systems for innovative products in the circular economy era, International Journal of Production Research, 2020. (pdf)
X.M. Yuan, S.Z. Zeng and J. Zhang, Discerning the linear convergence of ADMM for structured convex optimization through the lens of variational analysis, Journal of Machine Learning Research 21, (2020) 1-75. (75 pages long paper, pdf)
J.S. Chen, J.J. Ye, J. Zhang and J.C. Zhou, Exact formula for the second-order tangent set of the second-order cone complementarity set, SIAM Journal on Optimization 29, no. 4 (2019) 2986 – 3011.(pdf)
K. Bai, J.J. Ye and J. Zhang, Directional quasi/pseudo-normality as sufficient conditions for metric subregularity, SIAM Journal on Optimization 29, no. 4 (2019) 2625—2647.(pdf)
Y.C. Liu, X.M. Yuan, S.Z. Zeng and J. Zhang, Partial error bound conditions and the linear convergence rate of ADMM, SIAM Journal on Numerical Analysis 56, no. 4 (2018) 2095—2123.(pdf)
Y.C. Liu, H.F. Xu, S. Yang and J. Zhang, Distributionally robust equilibrium for continuous games: Nash and Stackelberg models, European Journal of Operational Research 265 no. 2 (2018) 631— 643.(pdf)
Y.C. Liu, X.M. Yuan, S.Z. Zeng and J. Zhang, Primal-dual hybrid gradient method for distributionally robust optimization problem, Operational Research Letters 45 no. 6, (2017) 625—630.(pdf)
G.H. Lin, M.J. Luo, D.L. Zhang and J. Zhang, Stochastic second-order-cone complementarity problems: expected residual minimization formulation and its applications, Mathematical Programming, 165, no.1 (2017), 197-233. (pdf)
G.H. Lin, M.J. Luo and J. Zhang, Smoothing and SAA method for stochastic programming problems with non-smooth objective and constraints. Journal of Global Optimization 66, no. 3 (2016), 487--510.
L. Guo, G.H. Lin, J.J. Ye and J. Zhang, Sensitivity analysis of the value function for parametric mathematical programs with equilibrium constraints. SIAM Journal on Optimization, 24, no. 3 (2014), 1206--1237. (pdf)
J.J. Ye and J. Zhang, Enhanced Karush-Kuhn-Tucker conditions for mathematical programs with equilibrium constraints. Journal of Optimization Theory and Applications 163, no. 3 (2014), 777--794. (pdf)
L. Guo, J.J. Ye and J. Zhang, Mathematical programs with geometric constraints in Banach spaces: enhanced optimality, exact penalty, and sensitivity. SIAM Journal on Optimization, 23, no. 4, (2013), 2295--2319. (pdf)
J.J. Ye and J. Zhang, Enhanced Karush-Kuhn-Tucker condition and weaker constraint qualifications. Mathematical Programming, 139, no. 1-2 (2013), 353--381. (pdf)