[个人简介]

王贞众，博士，厦门大学信息学院人工智能系助理教授，硕士生导师，福建省海外引进高层次人才。2024年12月于香港理工大学获得哲学博士学位，师从Tan Kay Chen讲席教授。在IEEE TPAMI、ACM CSUR、IEEE TEVC、IEEE TNNLS、IEEE TCYB及AAAI等CCF A类/JCR 1区顶级期刊与会议上，以第一/通讯作者发表论文10余篇。他主要研究兴趣包括：智能优化算法，图神经网络，大语言模型以及它们在AI for Science上的应用。

王贞众博士担任多个国际重要期刊和会议的程序委员会委员和审稿人，包括IEEE TEVC、IEEE TNNLS、IEEE TCYB、IEEE CIM、IEEE TETCI、ICLR、NeurIPS、CVPR、AAAI、ICCV等。此外，还担任多个国际会议的组织主席，包括IEEE SSCI，IC-MIND等。

[招生说明]

课题组欢迎有志于学术深造、渴望发表高水平研究成果的同学。课题组不限专业背景，也无需化学或材料学基础。我们与国内外顶尖高校保持着密切合作，为立志深造的同学铺就道路，已有多位本科生和硕士生进入国内外知名高校深造。

[论文发表]

更多论文信息详见 个人主页 或 GoogleScholar （*通讯作者）。

[1] Z. Wang, H. Hua, W. Lin, M. Yang, K. C. Tan, Crystalline Material Discovery in the Era of Artificial Intelligence, ACM Computing Surveys, 2026. （JCR Q1, Top, IF 23.8）

[2] Z. Wang, Z. Lin, W. Lin, M. Yang, M. Zeng, K. C. Tan, Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026. （CCF-A, JCR Q1, Top, IF 18.6）

[3] Z. Wang, X. Zhang, J. Liao, M. Jiang, Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation, Proceedings of the 39th AAAI Conference on Artificial Intelligence, 2025. （CCF-A）

[4] Y. Tang, D. Xu, Y. Hou, Y. Gong, Z. Wang∗, NexusSplats: An Efficient Approach for Robust Novel View Synthesis from Unstructured Image Collections, The International Conference on Machine Intelligence and Nature-inspired Computing, 2025. （Best Paper Award）

[5] Z. Wang, D. Xu, M. Jiang, K. C. Tan, Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, 2024. （JCR Q1, Top, IF 12）

[6] Z. Wang, L. Cao, W. Lin, M. Jiang, K. C. Tan, Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks, Proceedings of the 38th AAAI Conference on Artificial Intelligence, 2024. （CCF-A）

[7] Z. Wang, Q. Zeng, W. Lin, M. Jiang, K. C. Tan, Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data, IEEE Transactions on Neural Networks and Learning Systems, 2024. （JCR Q1, Top, IF 8.9）

[8] Z. Wang, Q. Zeng, W. Lin, M. Jiang, K. C. Tan, Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs, Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023.（CCF-A）

[9] Z. Wang, L. Cao, L. Feng, M. Jiang, K. C. Tan, Evolutionary Multitask Optimization with Lower Confidence Bound-Based Solution Selection Strategy, IEEE Transactions on Evolutionary Computation, 2024. （JCR Q1, Top, IF 12）

[10] Z. Wang, H. Hong, K. Ye, G. Zhang, M. Jiang, K. C. Tan, Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks, IEEE Transactions on Neural Networks and Learning Systems, 2021. （JCR Q1, Top, IF 8.9）

[11] Z. Wang, K. Ye, M. Jiang, J. Yao, N. Xiong, G. Yen, Solving Hybrid Charging Strategy Electric Vehicle based Dynamic Routing Problem via Evolutionary Multi-Objective Optimization, Swarm and Evolutionary Computation, 2022. （JCR Q1, IF 8.5）

[12] M. Jiang, Z. Wang*, L. Qiu, S. Guo, X. Gao, K. C. Tan, Individual-Based Transfer Learning for Dynamic Multiobjective Optimization, IEEE Transactions on Cybernetics, 2021. （JCR Q1, Top, IF 10.5）