Development of a pathway comparison tool for analysis of bacteria genomes. - Haizhou Liu; Jun Wang; Chao Zhuang; Na Han; Bo Wei; Simon Rayner (BIBM Workshops, 2010)

MiRPara: A SVM-based software for prediction of mature miRNAs. - Yonggan Wu; Bo Wei; Haizhou Liu; Na Han; Simon Rayner (BIBM Workshops, 2010)

MiRPara: a SVM-based software tool for prediction of most probable microRNA coding regions in genome scale sequences. - Yonggan Wu; Bo Wei; Haizhou Liu; Tianxian Li; Simon Rayner (BMC Bioinform., 2011)

Pathway enrichment analysis approach based on topological structure and updated annotation of pathway. - Qian Yang; Shuyuan Wang; Enyu Dai; Shunheng Zhou; Dianming Liu; Haizhou Liu; Qianqian Meng; Bin Jiang 001; Wei Jiang 023 (Briefings Bioinform., 2019)

Identification of transcription factor-miRNA-lncRNA feed-forward loops in breast cancer subtypes. - Leiming Jiang; Xuexin Yu; Xueyan Ma; Haizhou Liu; Shunheng Zhou; Xu Zhou; Qianqian Meng; Lihong Wang; Wei Jiang 023 (Comput. Biol. Chem., 2019)

Stochastic Unit Commitment in Electricity-Gas Coupled Integrated Energy Systems based on Modified Progressive Hedging. - Haizhou Liu; Xinwei Shen 001; Qinglai Guo; Hongbin Sun 002; Wenzhi Zhao; Xinyi Zhao (CoRR, 2020)

A Data-Driven Warm Start Approach for Convex Relaxation in Optimal Gas Flow. - Haizhou Liu; Lun Yang; Xinwei Shen 001; Qinglai Guo; Hongbin Sun 002; Mohammad Shahidehpour (CoRR, 2020)

A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning. - Haizhou Liu; Xuan Zhang 004; Xinwei Shen 001; Hongbin Sun 002 (CoRR, 2021)

A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction. - Haizhou Liu; Xuan Zhang 004; Xinwei Shen 001; Hongbin Sun 002 (CoRR, 2022)

DRdriver: identifying drug resistance driver genes using individual-specific gene regulatory network. - Yu'e Huang; Shunheng Zhou; Haizhou Liu; Xu Zhou; Mengqin Yuan; Fei Hou; Sina Chen; Jiahao Chen; Lihong Wang; Wei Jiang 023 (Briefings Bioinform., 2023)

A Hybrid Federated Learning Framework With Dynamic Task Allocation for Multi-Party Distributed Load Prediction. - Haizhou Liu; Xuan Zhang 004; Xinwei Shen 001; Hongbin Sun 002; Mohammad Shahidehpour (IEEE Trans. Smart Grid, 2023)

Boosted Multi-Task Learning for Inter-District Collaborative Load Forecasting. - Haizhou Liu; Xuan Zhang 004; Hongbin Sun 002; Mohammad Shahidehpour (IEEE Trans. Smart Grid, 2024)

Robust service deployment for edge computing in industrial internet with joint profit awareness and multi-server collaboration. - Yanping Chen; Feifan Ran; Xiaomin Jin; Haizhou Liu; Zhongmin Wang (J. Supercomput., 2025)

Chebyshev spectral approximation-based physics-informed neural network for solving higher-order nonlinear differential equations. - Yixin Huang; Haizhou Liu; Yang Zhao; Min Fei (Eng. Comput., 2025)

Joint task caching and privacy protecting task offloading for edge computing in industrial internet. - Yanping Chen; Hengyuan Zhang; Xiaomin Jin; Haizhou Liu; Zhongmin Wang (Computing, 2025)

SecureDec: A Decentralized Scheduling Pipeline With Federated Learning and Efficient Encryption for Electricity-Gas Coupled Systems. - Haizhou Liu; Haitian Liu; Qinran Hu; Xuan Zhang 004; Hongbin Sun 002; Mohammad Shahidehpour (IEEE Trans. Smart Grid, 2025)