Niching community based differential evolution for multimodal optimization problems. - Ting Huang 001; Zhi-Hui Zhan; Xingdong Jia; Huaqiang Yuan; Jing-qing Jiang; Jun Zhang 003 (SSCI, 2017)

Multi-Population Ant Colony System for Multiple Path Planning of Food Delivery Applications. - Yi-Bin Cheng; Ting Huang 001; Huntley Ting Huang; Yue-Jiao Gong; Jun Zhang 003 (SSCI, 2018)

Seeking Multiple Solutions of Combinatorial optimization Problems: A Proof of Principle Study. - Ting Huang 001; Yue-Jiao Gong; Jun Zhang 003 (SSCI, 2018)

Niching Evolutionary Computation With a Priori Estimate for Solving Multi-Solution Traveling Salesman Problem. - Ting Huang 001; Yue-Jiao Gong; Xiaoyan Li; Xiao-Min Hu; Jun Zhang 003 (CEC, 2020)

Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approach. - Ting Huang 001; Dan-Ting Duan; Yue-Jiao Gong; Long Ye; Wing W. Y. Ng; Jun Zhang 003 (Neurocomputing, 2020)

A Niching Memetic Algorithm for Multi-Solution Traveling Salesman Problem. - Ting Huang 001; Yue-Jiao Gong; Sam Kwong; Hua Wang 002; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2020)

Automatic Planning of Multiple Itineraries: A Niching Genetic Evolution Approach. - Ting Huang 001; Yue-Jiao Gong; Yu-Hui Zhang; Zhi-Hui Zhan; Jun Zhang 003 (IEEE Trans. Intell. Transp. Syst., 2020)

A Probabilistic Niching Evolutionary Computation Framework Based on Binary Space Partitioning. - Ting Huang 001; Yue-Jiao Gong; Wei-Neng Chen; Hua Wang 002; Jun Zhang 003 (IEEE Trans. Cybern., 2022)

Matrix-Based Evolutionary Computation. - Zhi-Hui Zhan; Jun Zhang 003; Ying Lin 001; Jian-Yu Li; Ting Huang 001; Xiao-Qi Guo; Feng-Feng Wei; Sam Kwong; Xinyi Zhang; Rui You (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation. - Jiezhang Li; Yue-Jiao Gong; Ting Huang 001; Wei-Neng Chen (ICONIP (14), 2023)

MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles. - Yue-Jiao Gong; Ting Huang 001; Yining Ma 001; Sang-Woon Jeon; Jun Zhang 003 (IEEE Trans. Intell. Transp. Syst., 2023)

RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. - Hongqiao Lian; Zeyuan Ma; Hongshu Guo; Ting Huang 001; Yue-Jiao Gong (GECCO, 2024)

An Empirical Study of Constrained Evolutionary Algorithms for Isomorphic Connected Graph Segmentation Problems. - Feng Zhuang; Ting Huang 001; He Yu; Jing Liu 006 (GECCO Companion, 2024)

An efficient history-guided surrogate models-assisted niching evolutionary algorithm for expensive multimodal optimization. - Ting Huang 001; Bing-Bing Niu; Yue-Jiao Gong; Jing Liu 006 (Swarm Evol. Comput., 2025)

Continuous Berth Allocation and Time-Variant Quay Crane Assignment: Memetic Algorithm With a Heuristic Decoding Method. - Li-Sha Xu; Ting Huang 001; Bowen Zhao 001; Yue-Jiao Gong; Jing Liu 006 (IEEE Trans. Intell. Transp. Syst., 2025)

A Robust Lifelong Multi-Agent Path Finding With Active Conflict Resolution and Decentralized Execution. - Feng Zhuang; Ting Huang 001; Quan Xu; Yue-Jiao Gong; Jing Liu 006 (IEEE Robotics Autom. Lett., 2025)

TaskSimLF: Efficient Leader-Follower Multi-Agent Path Finding With Clustered Pickup and Delivery. - Feng Zhuang; Ting Huang 001; Jing Liu 006 (IEEE Robotics Autom. Lett., 2025)