Zheng Liu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 25

Top Venues

Chinese University of Hong Kong, Hong Kong (PHD)

Education History

Chinese University of Hong Kong, Hong Kong

PHD

Publications

Ke-Jia Chen, Yinchu Qiu, Zheng Liu, Wenhui Mu
Layer imbalance-aware multiplex network embedding. Knowl. Inf. Syst. 66 (6) (2024)
Linsong Liu, Ke-Jia Chen, Zheng Liu
Collaborative bi-aggregation for directed graph embedding. Neural Networks 164 (2023)
Ziyu Shen, Xusheng Zhang, Zheng Liu, Yun Li
PM$^{2}$2VE: Power Metering Model for Virtualization Environments in Cloud Data Centers. IEEE Trans. Cloud Comput. 11 (3) (2023)
Ziyu Shen, Binghui Liu, Qing Zhou, Zheng Liu, Bin Xia, Yun Li
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Yang Sun, Yu Xiang, Ziyuan Wang, Zheng Liu
Better Data Distillation by Condensing the Interpolated Graphs. CBD (2023)
Xusheng Zhang, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li
Estimating Power Consumption of Containers and Virtual Machines in Data Centers. CLUSTER (2020)
Zeyu Zhang, Zheng Liu, Qiyun Zhou, Yanwen Qu
Cross Message Passing Graph Neural Network. IJCNN (2020)
Yuxing Tian, Zheng Liu, Weiding Liu, Zeyu Zhang, Yanwen Qu
What nodes vote to? Graph classification without readout phase. ICPR (2020)
Ziyu Shen, Xusheng Zhang, Bin Xia, Zheng Liu, Yun Li
Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network. ISPA/BDCloud/SocialCom/SustainCom (2019)
Ziyu Shen, Xusheng Zhang, Binghui Liu, Bin Xia, Zheng Liu, Yun Li, Saiqin Long
PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers. CBD (2019)
Yu Wang, Yun Li, Ziye Zhu, Bin Xia, Zheng Liu
SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition. PAKDD (1) (2019)
Junjie Yin, Yun Li, Zheng Liu, Jian Xu, Bin Xia, Qianmu Li
ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework. IJCNN (2019)
Xinyang Liu, Zheng Liu, Yanwen Qu
PPGCN: A Message Selection Based Approach for Graph Classification. ICONIP (4) (2019)
Zheng Liu, Chi-Yu Liu, Bin Xia, Tao Li
Multiple Relational Topic Modeling for Noisy Short Texts. Int. J. Softw. Eng. Knowl. Eng. 28 (11-12) (2018)
Wenyan Chen, Zheng Liu, Wei Shi, Jeffrey Xu Yu
Keyphrase Extraction Based on Optimized Random Walks on Multiple Word Relations. APWeb/WAIM (2) (2018)
Zheng Liu, Ke-Jia Chen, Yanwen Qu, Shuting Guo, Chi-Yu Liu, Chengbin Jia
SMAS: An Investor-Oriented Social Media Analysis System for Movies. IEEE BigData (2018)
Chi-Yu Liu, Zheng Liu, Tao Li, Bin Xia
Topic Modeling for Noisy Short Texts with Multiple Relations. SEKE (2018)
Shuting Guo, Zheng Liu, Wenyan Chen, Tao Li
Event Extraction from Streaming System Logs. ICISA (2018)
Wubai Zhou, Wei Xue, Ramesh Baral, Qing Wang, Chunqiu Zeng, Tao Li, Jian Xu, Zheng Liu, Larisa Shwartz, Genady Ya. Grabarnik
STAR: A System for Ticket Analysis and Resolution. KDD (2017)
Yu Wang, Bin Xia, Zheng Liu, Yun Li, Tao Li
Named entity recognition for Chinese telecommunications field based on Char2Vec and Bi-LSTMs. ISKE (2017)
Tao Li, Chunqiu Zeng, Yexi Jiang, Wubai Zhou, Liang Tang, Zheng Liu, Yue Huang
Data-Driven Techniques in Computing System Management. ACM Comput. Surv. 50 (3) (2017)
Wei Shi, Zheng Liu, Weiguo Zheng, Jeffrey Xu Yu
Extracting Keyphrases Using Heterogeneous Word Relations. ADC (2017)
Tao Li, Yexi Jiang, Chunqiu Zeng, Bin Xia, Zheng Liu, Wubai Zhou, Xiaolong Zhu, Wentao Wang, Liang Zhang, Jun Wu, Li Xue, Dewei Bao
FLAP: An End-to-End Event Log Analysis Platform for System Management. KDD (2017)
Tao Li, Chunqiu Zeng, Wubai Zhou, Wei Xue, Yue Huang, Zheng Liu, Qifeng Zhou, Bin Xia, Qing Wang, Wentao Wang, Xiaolong Zhu
FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications. Knowl. Inf. Syst. 52 (2) (2017)
Zheng Liu, Shuting Guo, Tao Li, Wenyan Chen
Identifying Relevant Subgraphs in Large Networks. APWeb Workshops (2016)
Zheng Liu, Ruoming Jin, Hong Cheng, Jeffrey Xu Yu
Frequent Subgraph Summarization with Error Control. WAIM (2013)
Zheng Liu, Jeffrey Xu Yu, Hong Cheng
Approximate Homogeneous Graph Summarization. J. Inf. Process. 20 (1) (2012)
Zheng Liu, Jeffrey Xu Yu, Hong Cheng
Approximate Homogeneous Graph Summarization. Inf. Media Technol. 7 (1) (2012)
Di Wu, Yiping Ke, Jeffrey Xu Yu, Zheng Liu
Detecting Priming News Events CoRR (2012)
Zheng Liu, Jeffrey Xu Yu
On Summarizing Graph Homogeneously. DASFAA Workshops (2011)
Zheng Liu, Jeffrey Xu Yu
Discovering Burst Areas in Fast Evolving Graphs. DASFAA (1) (2010)
Zhenglu Yang, Jeffrey Xu Yu, Zheng Liu, Masaru Kitsuregawa
Fires on the Web: Towards Efficient Exploring Historical Web Graphs. DASFAA (1) (2010)
Di Wu, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Zheng Liu
Integrating Multiple Data Sources for Stock Prediction. WISE (2008)
Zheng Liu, Jeffrey Xu Yu, Lei Chen, Di Wu
Detection of Shape Anomalies: A Probabilistic Approach Using Hidden Markov Models. ICDE (2008)
Di Wu, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Zheng Liu
Mining Multiple Time Series Co-movements. APWeb (2008)
Zheng Liu, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin, Lei Chen
Spotting Significant Changing Subgraphs in Evolving Graphs. ICDM (2008)
Zheng Liu, Jeffrey Xu Yu, Xuemin Lin, Hongjun Lu, Wei Wang
Locating Motifs in Time-Series Data. PAKDD (2005)
Yi Luo, Zheng Liu, Xuemin Lin, Wei Wang, Jeffrey Xu Yu
Similarity Search with Implicit Object Features. WAIM (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zheng Liu