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Haizhou Liu
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Journal Articles
- 2025
- [j7]Yanping Chen, Feifan Ran, Xiaomin Jin, Haizhou Liu, Zhongmin Wang:
Robust service deployment for edge computing in industrial internet with joint profit awareness and multi-server collaboration. J. Supercomput. 81(1): 84 (2025) - 2024
- [j6]Haizhou Liu, Xuan Zhang, Hongbin Sun, Mohammad Shahidehpour:
Boosted Multi-Task Learning for Inter-District Collaborative Load Forecasting. IEEE Trans. Smart Grid 15(1): 973-986 (2024) - 2023
- [j5]Yu'e Huang, Shunheng Zhou, Haizhou Liu, Xu Zhou, Mengqin Yuan, Fei Hou, Sina Chen, Jiahao Chen, Lihong Wang, Wei Jiang:
DRdriver: identifying drug resistance driver genes using individual-specific gene regulatory network. Briefings Bioinform. 24(2) (2023) - [j4]Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun, Mohammad Shahidehpour:
A Hybrid Federated Learning Framework With Dynamic Task Allocation for Multi-Party Distributed Load Prediction. IEEE Trans. Smart Grid 14(3): 2460-2472 (2023) - 2019
- [j3]Qian Yang, Shuyuan Wang, Enyu Dai, Shunheng Zhou, Dianming Liu, Haizhou Liu, Qianqian Meng, Bin Jiang, Wei Jiang:
Pathway enrichment analysis approach based on topological structure and updated annotation of pathway. Briefings Bioinform. 20(1): 168-177 (2019) - [j2]Leiming Jiang, Xuexin Yu, Xueyan Ma, Haizhou Liu, Shunheng Zhou, Xu Zhou, Qianqian Meng, Lihong Wang, Wei Jiang:
Identification of transcription factor-miRNA-lncRNA feed-forward loops in breast cancer subtypes. Comput. Biol. Chem. 78: 1-7 (2019) - 2011
- [j1]Yonggan Wu, Bo Wei, Haizhou Liu, Tianxian Li, Simon Rayner:
MiRPara: a SVM-based software tool for prediction of most probable microRNA coding regions in genome scale sequences. BMC Bioinform. 12: 107 (2011)
Conference and Workshop Papers
- 2010
- [c2]Haizhou Liu, Jun Wang, Chao Zhuang, Na Han, Bo Wei, Simon Rayner:
Development of a pathway comparison tool for analysis of bacteria genomes. BIBM Workshops 2010: 837-838 - [c1]Yonggan Wu, Bo Wei, Haizhou Liu, Na Han, Simon Rayner:
MiRPara: A SVM-based software for prediction of mature miRNAs. BIBM Workshops 2010: 839-840
Informal and Other Publications
- 2022
- [i4]Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun:
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction. CoRR abs/2201.02783 (2022) - 2021
- [i3]Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun:
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning. CoRR abs/2103.11870 (2021) - 2020
- [i2]Haizhou Liu, Xinwei Shen, Qinglai Guo, Hongbin Sun, Wenzhi Zhao, Xinyi Zhao:
Stochastic Unit Commitment in Electricity-Gas Coupled Integrated Energy Systems based on Modified Progressive Hedging. CoRR abs/2006.09084 (2020) - [i1]Haizhou Liu, Lun Yang, Xinwei Shen, Qinglai Guo, Hongbin Sun, Mohammad Shahidehpour:
A Data-Driven Warm Start Approach for Convex Relaxation in Optimal Gas Flow. CoRR abs/2012.10125 (2020)
Coauthor Index
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