An LSTM Approach for Predicting the Short-time Passenger Flow of Urban Bus. - Yingying Xu; Kezhong Jin (AIEE, 2021)

MOMPA: a high performance multi-objective optimizer based on marine predator algorithm. - Long Chen; Xuebing Cai; Kezhong Jin; Zhenzhou Tang (GECCO Companion, 2021)

Power Allocation for Multi-user Cooperation: a Multi-Objective and Machine Learning Approach. - Kezhong Jin; Hosung Park; Zhenzhou Tang (VTC Spring, 2021)

Optimal Convergence Nodes Deployment in Hierarchical Wireless Sensor Networks: An SMA-Based Approach. - Jiahuan Yi; Kezhong Jin; Yu Xu; Zhenzhou Tang (WASA (3), 2021)

Energy-efficient multi-connectivity enabled user association and downlink power allocation in mmWave networks. - Ailing Chen; Shengchang Li; Kezhong Jin; Zhenzhou Tang (WTS, 2022)

Options for mobility and network reciprocity to jointly yield robust cooperation in social dilemmas. - Wen-Jing Li; Zhi Chen 019; Kezhong Jin; Jun Wang 031; Lin Yuan; Changgui Gu; Luo-Luo Jiang; Matjaz Perc (Appl. Math. Comput., 2022)

Joint user association and power allocation in ultra-dense mmWave networks: a multi-connectivity approach. - Ailing Chen; Shengchang Li; Jichen Xiong; Kezhong Jin; Zhenzhou Tang (CoRR, 2022)

Toward the Energy-Saving Optimization of WLAN Deployment in Real 3-D Environment: A Hybrid Swarm Intelligent Method. - Peng Liu; Qian Hu; Kezhong Jin; Guanding Yu; Zhenzhou Tang (IEEE Syst. J., 2022)

Toward Energy Efficient and Balanced User Associations and Power Allocations in Multiconnectivity-Enabled mmWave Networks. - Kezhong Jin; Xuebing Cai; Jianing Du; Hosung Park; Zhenzhou Tang (IEEE Trans. Green Commun. Netw., 2022)

Toward low-delay and low-cost controller placement in SDNs: a hybrid heuristic method. - Siyuan Peng; Dongshuai Niu; Kezhong Jin; Zhenzhou Tang (ICCAI, 2023)

Energy-saving access point configurations in WLANs: a swarm intelligent approach. - Long Chen; Fangyi Xu; Kezhong Jin; Zhenzhou Tang (J. Supercomput., 2023)

Bit flipping-based error correcting output code construction for adversarial robustness of neural networks. - Wooram Jang; Woojin Hwang; Kezhong Jin; Hosung Park (ICT Express, 2025)