Zhijie Xie
PhD Candidate
I received the B.E. degree in software engineering from Tongji University in 2017. I am currently pursuing the Ph.D. degree in electronic and computer engineering at The Hong Kong University of Science and Technology (HKUST) with Shenghui Song. My research interests include federated learning, reinforcement learning, and machine learning in wireless communication.
Prior to HKUST, I had been working with Yi Xing on researching and developing high-performance alternative splicing analysis algorithms for large-scale RNA-Seq data.
Federated Learning & Reinforcement Learning
Xie, Z., & Song, S. H. (2023). Client Selection for Federated Policy Optimization with Environment Heterogeneity. arXiv preprint arXiv:2305.10978.
Z. Xie and S. Song, “FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence,” in IEEE Journal on Selected Areas in Communications, vol. 41, no. 4, pp. 1227-1242, April 2023, doi: 10.1109/JSAC.2023.3242734.
G. Zhou, L. Zhao, G. Zheng, Z. Xie, S. Song and K. -C. Chen, “Joint Multi-objective Optimization for Radio Access Network Slicing Using Multi-agent Deep Reinforcement Learning,” in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2023.3268671.
Bioinformatics
Wang Y*, Xie Z*, Kutschera E, Adams JI, Kadash-Edmondson KE, and Xing Y. (2024) rMATS-turbo: an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data. Nature Protocols, doi:10.1038/s41596-023-00944-2. (*joint first authors)
Demirdjian L, Xu Y, Bahrami-Samani E, Pan Y, Pan Z, Stein S, Xie Z, Park E, Wu YN, Xing Y. (2020) Detecting allele-specific alternative splicing from population-scale RNA-seq data. American Journal of Human Genetics, 107:461-72.
Phillips JW*, Pan Y*, Tsai BL, Xie Z, Demirdjian L, Xiao W, Yang HT, Zhang Y, Lin CH, Cheng D, Hu Q, Liu S, Black DL, Witte ON+, Xing Y.+ (2020) Pathway-guided analysis identifies Myc-dependent alternative pre-mRNA splicing in aggressive prostate cancers. PNAS, 117(10):5269-79 (+joint corresponding authors; *joint first authors)
Zhang Z*, Pan Z*, Ying Y, Xie Z, Adhikari S, Phillips J, Carstens RP, Black DL, Wu Y, Xing Y. (2019) Deep learning-augmented RNA-seq analysis of transcript splicing. Nature Methods, 16:307-10. (*joint first authors)