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Jiahai Wang

Full Professor

Optimization and Learning Lab., Sun Yat-sen University, P.R. China

Research interests include 1) Foundation Models/Deep Learning; 2) Learning to Optimize/Neural Combinatorial Optimization; and 3) Intelligent Optimization Algorithms/Meta-Heuristics and their Applications.

Monograph

  • Learning to Optimize with Applications (In Chinese), Science Press, Jiahai Wang, Zizhen Zhang, Jinbiao Chen et al., 2026, L2OApp.

  • Foundation Models for Optimization and Reasoning, Springer, Jiahai Wang et al., (In preparation), FM4OR.

Selected Publications:

Publication by topic is available here and Publication by date is available at CSE@SYSU.

Foundation Models/Deep Learning with Applications

  • Zhaoyang Wang, Shaohan Huang, Yuxuan Liu, Jiahai Wang*, et al., Democratizing reasoning ability: Tailored learning from large language model, EMNLP 2023.

  • Jianpeng Zhou, Wanjun Zhong, Yanlin Wang, Jiahai Wang*, Adaptive-solver framework for dynamic strategy selection in large language model reasoning, Information Processing and Management, vol.62, no.3, 104052, May 2025.

  • Chenhui Liu, Jianpeng Zhou, Jiahai Wang*, Chain-of-relations: Faithful and efficient LLM reasoning over knowledge graphs via relation-centric exploration, ACL 2026 Findings.

  • Jianpeng Zhou, Qisheng Hu, Jiahai Wang*, Wenya Wang*, Policy-guided stepwise action planning for controllable LLM reasoning, ACL 2026 Findings.

  • Meixiu Long, Duolin sun, Dan Yang*, Yihan Jiao, Lei Liu, Jiahai Wang*, et al., GroupRank: A groupwise paradigm for effective and efficient passage reranking with LLMs, ACL 2026 Findings.

  • Meixiu Long, Jiahai Wang*, Junxiao Ma, Jianpeng Zhou, Siyuan Chen, LLM-augmented entity alignment: An unsupervised and training-free framework, Neural Networks, vol.194, 108139, 2026.

  • Siyuan Chen, Xin Du, Jiahai Wang*, A hierarchical framework with spatio-temporal consistency learning for emergence detection in complex adaptive systems, IEEE Transactions on Neural Networks and Learning Systems, vol.36, no.7, pp.13373-13386, July 2025.

  • Siyuan Chen, Jiahai Wang*, Heterogeneous interaction modeling with reduced accumulated error for multi-agent trajectory prediction, IEEE Transactions on Neural Networks and Learning Systems, vol.35, no.6, pp.8084-8052, June 2024.

  • Zhiyue Liu, Jiahai Wang*, Zhiwei Liang, “CatGAN: Category-aware generative adversarial networks with hierarchical evolutionary learning for category text generation,” AAAI 2020, vol.34, no.5, pp.8425-8432.

Learning to Optimize/Neural Combinatorial Optimization with Applications

  • Zikang Yu, Jinbiao Chen, Jiahai Wang*, Combination-of-expert with knowledge sharing for cross-task vehicle routing problems, ICLR 2026.

  • Zhanhong Fang, Debing Wang, Jinbiao Chen, Jiahai Wang, Zizhen Zhang, UCPO: A universal constrained combinatorial optimization method via preference optimization, AAAI 2026.

  • Zijun Liao, Jinbiao Chen, Debing Wang, Zizhen Zhang, Jiahai Wang, BOPO: Neural combinatorial optimization via best-anchored and objective guided preference optimization, ICML 2025.

  • Jinbiao Chen, Zhiguang Cao, Jiahai Wang*, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong, Rethinking neural multi-objective combinatorial optimization via neat weight embedding, ICLR 2025.

  • Jinbiao Chen, Jiahai Wang*, Zhiguang Cao, Yaoxin Wu, Neural multi-objective combinatorial optimization via graph-image multimodal fusion, ICLR 2025.

  • Pei Xiao, Zizhen Zhang, Jinbiao Chen, Jiahai Wang, Zhenzhen Zhang, Neural combinatorial optimization for robust routing problem with uncertain travel times, NeurIPS 2024.

  • Jinbiao Chen, Jiahai Wang*, Zizhen Zhang*, Zhiguang Cao, Te Ye, Siyuan Chen, Efficient meta neural heuristic for multi-objective combinatorial optimization, NeurIPS 2023.

  • Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang*, Neural multi-objective combinatorial optimization with diversity enhancement, NeurIPS 2023.

  • Jieyi Bi, Yining Ma, Jiahai Wang*, Zhiguang Cao*, Jinbiao Chen, Yuan Sun, Yeow Meng Chee, Learning generalizable models for vehicle routing problems via knowledge distillation, NeurIPS 2022.

  • Jiahai Wang, Yalan Zhou, Jian Yin, Yunong Zhang, “Competitive Hopfield network combined with estimation of distribution for maximum diversity problems,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol.39, no.4, pp.1048-1066, Aug. 2009.

  • Jiahai Wang, “Hopfield neural network based on estimation of distribution for two-page crossing number problem,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol.55, no.8, pp.797-801, 2008.

Intelligent Optimization Algorithms/Meta-Heuristics with Applications

  • Jiahai Wang, Liangsheng Yuan, Zizhen Zhang, Shangce Gao, Yuyan Sun, Yalan Zhou, “Multiobjective multiple neighborhood search algorithms for multiobjective fleet size and mix location-routing problem with time windows,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.51.no.4, pp.2284-2298, 2021.

  • Jiahai Wang, Wenbin Ren, Zizen Zhang, Han Huang, Yuren Zhou, “A hybrid multiobjective memetic algorithm for multiobjective periodic vehicle routing problem with time windows,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.50, no.11, pp.4732-4745, Nov. 2020.

  • Xueming Yan, Han Huang, Zhifeng Hao, Jiahai Wang, “A graph-based fuzzy evolutionary algorithm for solving two-echelon vehicle routing problems,” IEEE Transactions on Evolutionary Computation, vol.24, no.1, pp.129-141, Feb. 2020.

  • Jiahai Wang, Taiyao Weng, Qingfu Zhang, “A two-stage multiobjective evolutionary algorithm for multiobjective multi-depot vehicle routing problem with time windows,” IEEE Transactions on Cybernetics, vol.49, no.7, pp.2467-2478, 2019.

  • Jiahai Wang, Ying Zhou, Yong Wang, Jun Zhang, C.L. Philip Chen, and Zibin Zheng, “Multiobjective vehicle routing problems with simultaneous delivery and pickup and time windows: formulation, instances and algorithms,” IEEE Transactions on Cybernetics, vol.46, no.3, pp.582-594, 2016.

  • Jiahai Wang, Yanyue Li, Qingfu Zhang, Zizhen Zhang, Shangce Gao, “Cooperative multiobjective evolutionary algorithm with propulsive population for constrained multiobjective optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.52, no.6, pp.3476-3491, 2022.

  • Jiahai Wang, Binzhong Chen, Shangce Gao, Zizhen Zhang, Yuren Zhou, “Cooperative evolutionary framework with focused search for many-objective optimization,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol.4, no.3, pp.398-412, June 2020

  • Jiahai Wang, Guanxi Liang, Jun Zhang, “Cooperative differential evolution framework for constrained multiobjective optimization,” IEEE Transactions on Cybernetics, vol.49, no.6, pp.2060-2072, June 2019.

  • Jiahai Wang, Jianjun Liao, Ying Zhou, Yiqiao Cai, “Differential evolution enhanced with multiobjective sorting based mutation operators,” IEEE Transactions on Cybernetics, vol.44, no.12, pp.2792-2805, 2014.

  • Yiqiao Cai, Jiahai Wang*, “Differential evolution with neighborhood and direction information for numerical optimization,” IEEE Transactions on Cybernetics, vol.43, no.6, pp.2202-2215, Dec. 2013.