Zheng Liu

Orcid: 0000-0001-5391-1105

Affiliations:

Nanjing University of Posts and Telecommunications, School of Computer Science, Nanjing, China
Chinese University of Hong Kong, Hong Kong (PhD 2011)

According to our database¹, Zheng Liu authored at least 46 papers between 2005 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Layer imbalance-aware multiplex network embedding.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., June, 2024

2023

Collaborative bi-aggregation for directed graph embedding.

[BibT_eX]

[DOI]

Linsong Liu

Ke-Jia Chen

Zheng Liu

Neural Networks, July, 2023

Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., April, 2023

PM$^{2}$2VE: Power Metering Model for Virtualization Environments in Cloud Data Centers.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2023

Structural Imbalance Aware Graph Augmentation Learning.

[BibT_eX]

[DOI]

Zulong Liu

Kejia Chen

Zheng Liu

CoRR, 2023

Better Data Distillation by Condensing the Interpolated Graphs.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Advanced Cloud and Big Data, 2023

2022

One-to-many comparative summarization for patents.

[BibT_eX]

[DOI]

Scientometrics, 2022

Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings.

[BibT_eX]

[DOI]

Zheng Liu

Jialing Zhang

Yun Li

Knowl. Based Syst., 2022

Heterogeneous graph convolutional network with local influence.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Layer Imbalance Aware Multiplex Network Embedding.

[BibT_eX]

[DOI]

Kejia Chen

Yinchu Qiu

Zheng Liu

CoRR, 2022

Data characteristics aware prediction model for power consumption of data center servers.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2022

2020

Collaboratively Modeling and Embedding of Latent Topics for Short Texts.

[BibT_eX]

[DOI]

IEEE Access, 2020

Cross Message Passing Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

What nodes vote to? Graph classification without readout phase.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Estimating Power Consumption of Containers and Virtual Machines in Data Centers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

PPGCN: A Message Selection Based Approach for Graph Classification.

[BibT_eX]

[DOI]

Xinyang Liu

Zheng Liu

Yanwen Qu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

2018

Multiple Relational Topic Modeling for Noisy Short Texts.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2018

Topic Modeling for Noisy Short Texts with Multiple Relations.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

Event Extraction from Streaming System Logs.

[BibT_eX]

[DOI]

Proceedings of the Information Science and Applications 2018, 2018

SMAS: An Investor-Oriented Social Media Analysis System for Movies.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Keyphrase Extraction Based on Optimized Random Walks on Multiple Word Relations.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017

FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Data-Driven Techniques in Computing System Management.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2017

STAR: A System for Ticket Analysis and Resolution.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

FLAP: An End-to-End Event Log Analysis Platform for System Management.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Named entity recognition for Chinese telecommunications field based on Char2Vec and Bi-LSTMs.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Extracting Keyphrases Using Heterogeneous Word Relations.

[BibT_eX]

[DOI]

Proceedings of the Databases Theory and Applications, 2017

2016

Identifying Relevant Subgraphs in Large Networks.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications, 2016

2013

Frequent Subgraph Summarization with Error Control.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management - 14th International Conference, 2013

2012

Approximate Homogeneous Graph Summarization.

[BibT_eX]

[DOI]

Zheng Liu

Jeffrey Xu Yu

Hong Cheng

J. Inf. Process., 2012

Detecting Priming News Events

[BibT_eX]

[DOI]

CoRR, 2012

2011

Summarizing static graphs and mining dynamic graphs.

[BibT_eX]

[DOI]

Zheng Liu

PhD thesis, 2011

On Summarizing Graph Homogeneously.

[BibT_eX]

[DOI]

Zheng Liu

Jeffrey Xu Yu

Proceedings of the Database Systems for Adanced Applications, 2011

2010

Fires on the Web: Towards Efficient Exploring Historical Web Graphs.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2010

Discovering Burst Areas in Fast Evolving Graphs.

[BibT_eX]

[DOI]

Zheng Liu

Jeffrey Xu Yu

Proceedings of the Database Systems for Advanced Applications, 2010

2008

Integrating Multiple Data Sources for Stock Prediction.

[BibT_eX]

[DOI]

Di Wu

Gabriel Pui Cheong Fung

Jeffrey Xu Yu

Zheng Liu

Proceedings of the Web Information Systems Engineering, 2008

Spotting Significant Changing Subgraphs in Evolving Graphs.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Detection of Shape Anomalies: A Probabilistic Approach Using Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Data Engineering, 2008

Mining Multiple Time Series Co-movements.

[BibT_eX]

[DOI]

Di Wu

Gabriel Pui Cheong Fung

Jeffrey Xu Yu

Zheng Liu

Proceedings of the Progress in WWW Research and Development, 2008

2005

Similarity Search with Implicit Object Features.

[BibT_eX]

[DOI]

Proceedings of the Advances in Web-Age Information Management, 2005

Locating Motifs in Time-Series Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Zheng Liu

Timeline

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