爱游戏体育平台赞助意甲帮助中心

爱游戏体育平台赞助意甲帮助中心广州爱游戏体育平台赞助意甲帮助中心的华山准聘副教授、硕士生导黄婷，师，是刘静教授带领的工业人工智能团队核心成员之一。2021年于华南理工大学取得博士学位（导师：龚月姣教授）。目前主要研究方向包括智能计算、人工智能、多智能体系统、大语言模型、EDA自动布线、运筹规划申请专利15项。另外主持科研项目6项，累计发表论文30余篇，包括爱游戏体育平台赞助意甲帮助中心自然科学基金面上项目、广州市重点研发项目。指导爱游戏体育平台赞助意甲帮助中心获得爱游戏体育平台赞助意甲帮助中心/国际竞赛获奖6项，包括自然科学基金青年项目；参与科研项目5项，等。包括2022年WSC国际仿真竞赛第一名（多智能体路径规划方向）。2025年两项爱游戏体育平台赞助意甲帮助中心竞赛（TSP/FJSP方向）等。

招生信息

27级研究生名额2人（更新时间：2026年8月3日）

欢迎勤奋踏实、积极进取、具有自驱力与探索精神、对人工智能及相关前沿技术充满热情并愿意持续爱游戏体育平台赞助意甲帮助中心的同学加入。有意向的同学请邮件联系 huangting(AT)xidian.edu.cn。

2026届首批硕士研究生共5名毕业生，已入职阿里云、蚂蚁爱游戏体育平台赞助意甲帮助中心、百度、京东和微软。

发表期刊

[16] Ya-Jie Lia, Ting Huang, Yue-Jiao Gong, Jing Liu, “An elastic graph coloring memetic algorithm for lifelong multi-agent task allocation problems,” Applied Soft Computing, 2026.

[15] T. Huang, X.-W. Ma, X.-T. Liu, Y.-J. Gong, “CoMAEA: A collision-avoiding multi-agent evolutionary algorithm for coverage path planning”, IEEE Transactions on Evolutionary Computation, 2026. 

[14] L.-S. Xu, Y.-M. Wang, T. Huang*, Y.-J. Gong, and J. Liu, “Incremental learning-enhanced ensemble surrogate-assisted evolutionary algorithm for lifelong berth allocation and quay crane assignment problems”, Swarm and Evolutionary Computation, 2025.

[13] F. Zhuang, T. Huang*, Q. Xu, Y.-J. Gong, J. Liu, “A robust lifelong multi-agent pathfinding with active conflict resolution and decentralized execution”, IEEE Robotics and Automation Letters, 2025.

[12] T. Huang, B.-B. Niu, Y.-J. Gong, J. Liu, An Efficient History-Guided Surrogate Models-Assisted Niching Evolutionary Algorithm for Expensive Multimodal Optimization, Swarm and Evolutionary Computation, 2025. 

[11]  X. -C. Wang, Y. -J. Gong, T. Huang, H. Xu and J. Zhang, “Long-Distance Charge-Route Planning for Electric Vehicles: A Multi-Solution Approach,” IEEE Transactions on Transportation Electrification, 2025.

[10] L.-S. Xu, T. Huang*, B.-W. Zhao, Y.-J. Gong and J. Liu, “Continuous berth allocation and time-variant quay crane assignment: Memetic algorithm with a heuristic decoding method,” IEEE Transactions on Intelligent Transportation Systems, , vol. 26, no. 3, pp. 3387-3401, Mar. 2025.

[9] T. Huang, Z.-Q. Zhang, Y.-J. Gong and J. Liu, “nLKH-ACS: A Niching Lin-Kernighan-Helsgaun Based Ant Colony System for Multi-Solution Traveling Salesman Problems,” IEEE Transactions on Evolutionary Computation, 2025. 

[8] Xian-Rong Zhang, Yue-Jiao Gong, Yuan-Ting Zhong, Ting Huang, Jun Zhang, “Large language model as meta-surrogate for offline data-driven many-task optimization: A proof-of-principle study”, Information Sciences, 2026.

[7] Y.-H. Sun, T. Huang*, J.-H. Zhong, J. Zhang and Y.-J. Gong, “Symbolic Regression-Assisted Offline Data-Driven Evolutionary Computation,” IEEE Transactions on Evolutionary Computation. 2024.

[6] Y.-J. Gong, T. Huang*, Y. -N. Ma, S. -W. Jeon and J. Zhang, “MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles,”  IEEE Transactions on Intelligent Transportation Systems. vol. 24, no. 4, pp. 3714-3727, April 2023.

[5] Z.-H. Zhan, J. Zhang, Y. Lin, J.-Y. Li, T. Huang, X.-Q. Guo, F.-F. Wei, S. Kwong, X.-Y. Zhang, R. You, “Matrix-Based Evolutionary Computation,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 2, pp. 315-328, Apr. 2022. 

[4] T. Huang, Y.-J. Gong, W.-N. Chen, H. Wang and J. Zhang, “A Probabilistic Niching Evolutionary Computation Framework Based on Binary Space Partitioning,” IEEE Transactions on Cybernetics IF=11.448/2021, vol. 52, no. 1, pp. 51-64, Jan. 2022. （SCI一区TOP期刊，）

[3] T. Huang, Y.-J. Gong, S. Kwong, H. Wang and J. Zhang, “A Niching Memetic Algorithm for Multi-Solution Traveling Salesman Problem,” IEEE Transactions on Evolutionary Computation, vol. 24, no. 3, pp. 508-522, Jun. 2020. （SCI一区TOP期刊, IF =11.554/2021）

[2] T. Huang, D.-T. Duan, Y.-J. Gong, L. Ye, W.-W.Y. Ng, J. Zhang, “Concurrent Optimization of Multiple Base Learners in Neural Network Ensembles: An Adaptive Niching Differential Evolution Approach,” Neurocomputing, vol. 396, pp. 24-38, Jul. 2020.

[1] T. Huang, Y.-J. Gong, Y.-H. Zhang, Z.-H. Zhan and J. Zhang, “Automatic Planning of Multiple Itineraries: A Niching Genetic Evolution Approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 10, pp. 4225-4240, Oct. 2020. （SCI一区TOP期刊，IF=6.492/2021）

会议

[5] Y.-T. Zhong, T. Huang, X.-L. X, Y.-J. Gong, “TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization”, in Proc. Association for the Advancement of Artificial Intelligence (AAAI), 2026. (CCF-A)

[4] J.-J. Li, Z.-Y. Ma, T. Huang*, Y.-J. Gong*, “Learn to refine: Synergistic multiagent path optimization for lifelong conflict-free navigation of autonomous vehicles,” in Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. (CCF-A)

[3] F. Zhuang, T. Huang, H. Yu, and J. Liu, "An empirical study of constrained evolutionary algorithms for isomorphic connected graph segmentation problems," in Proc. Genetic and Evolutionary Computation Conference Companion, Jul. 2024, pp. 459–462. (CCF-C)

[2] H.-Q. Lian, Z.-Y. Ma, H.-S. Guo, T. Huang, and Y.-J. Gong, "RLEMMO: Evolutionary multimodal optimization assisted by deep reinforcement learning," in Proc. Genetic and Evolutionary Computation Conference, Jul. 2024, pp. 683–693. (CCF-C)

[1] X.-W. Ma, T. Huang, W.-L. Liu, and Y.-J. Gong, "Collision-aware evolutionary algorithm for multi-agent coverage path planning," in Proc. 11th Int. Conf. Machine Intelligence Theory and Applications, Jul. 2024, pp. 1–8.

google scholar: https://scholar.google.com/citations?hl=zh-CN&user=6QPNGSYAAAAJ

基本要求

1. 掌握编程语言C/C++, Python, Matlab等其中一项

2. 具有一定的英文读写能力

3. 了解主流AI模型，具有使用审美和taste