Publications

Journal/Conference    [Google Scholar]

  1. Zheng Liu, Jialing Zhang, Tingting Qin, Yanwen Qu, Yun Li: One-to-Many Comparative Summarization for Patents, Scientometrics, 2022
  2. Zheng Liu, Jialing Zhang, Yun Li: Towards Better Time Series Prediction with Model-Independent, Low-Dispersion Clusters of Contextual Subsequence Embeddings, Knowledge-Based Systems, Volume 235, 2022
  3. Ke-Jia Chen, Hao Lu, Zheng Liu, Jiajun Zhang: Heterogeneous Graph Convolutional Network with Local Influence, Knowledge-Based Systems,
    Volume 236, 2022,
  4. Ziyu Shen, Qing Zhou, Xusheng Zhang, Bin Xia, Zheng Liu, Yun Li: Data characteristics aware prediction model for power consumption of data center servers, Concurrency and Computation: Practice and Experience, 2022
  5. Jialing Zhang, Zheng Liu, Yanwen Qu, Yun Li: Loss Attenuation for Time Series Prediction Respecting Categories of Values, In Proceedings of APWeb-WAIM 2021, 2021
  6. Wanpeng Ji, Xusheng Zhang, Ziyu Shen, Bin Xia, Binghui Liu, Huizhong Shan, Shajia Shan, Zheng Liu: An Interpretability Method of Workflow Power Consumption Based on Feature Contribution, 2021 IEEE 6th International Conference on Big Data Analytics (ICBDA), 2021
  7. Yuxing Tian, Zheng Liu, Weiding Liu, Zeyu Zhang, Yanwen Qu: What Nodes Vote To? Graph Classification without Readout Phase, In Proceedings of ICPR 2020, 2021
  8. XuSheng Zhang, Ziyu Shen, Bin Xia, Zheng Liu and Yun Li: Estimating Power Consumption of Containers and Virtual Machines in Data Centers, In Proceedings of IEEE Cluster 2020.
  9. Shajia Shan, Ziyu Shen, Bin Xia, Zheng Liu and Yun Li. DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction. In Proceeding of ICONIP 2020.
  10. Zeyu Zhang, Zheng Liu, Qiyun Zhou, Yanwen Qu: Cross Message Passing Graph Neural Network, In Proceeding of WCCI 2020, 2020.
  11. Zheng Liu, Tingting Qin, Ke-Jia Chen, Yun Li:  Collaboratively Modeling and Embedding of Latent Topics for Short Texts, in IEEE Access, vol. 8, pp. 99141-99153, 2020.
  12. Zheng Liu, Mian Zhang, Xusheng, Zhang, Yun Li: A Non-Intrusive, Traffic-Aware Prediction Framework for Power Consumption in Data Center Operations. Energies 2020, 13(3), 663 (2020)
  13. Yunxiao Wang, Zheng Liu, Di Hu, Mian Zhang: Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders, In Proceeding of ACML 2019, 2019.
  14. Xinyang Liu, Yanwen Qu, Zheng Liu: PPGCN: A Message Selection Based Approach for Graph Classification, In Proceeding of ICONIP 2019, 2019.
  15. Junjie Yin, Yun Li, Zheng Liu, Jian Xu, Bin Xia, Qianmu Li: ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework, In Proceeding of IJCNN 2019, 2019.
  16. Hang Ling, Jing Hang, Jiayi Pang, Jianwei Liu, Jia Xu, Zheng Liu: Behavior Flow Graph Construction from System Logs for Anomaly Analysis, In Proceeding of SCISEC 2019, 2019.
  17. Yu Wang, Yun Li, Ziye Zhu, Bin Xia, Zheng Liu: SC-NER: a Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition, In Proceeding of PAKDD 2019, 2019.
  18. 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
  19. 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
  20. Zheng Liu, Chi-Yu Liu, Bin Xia, Tao Li: Multiple Relational Topic Modeling for Noisy Short Texts. International Journal of Software Engineering and Knowledge Engineering 28(11-12): 1559-1574 (2018)
  21. Zheng Liu, Kejia Chen, Yanwen Qu, Shuting Guo, Chi-Yu Liu, Chengbin Jia: SMAS: An Investor-Oriented Social Media Analysis System for Movies. BigData 2018, 2018.
  22. Wenyan Chen, Zheng Liu, Wei Shi, Jeffrey Xu Yu:  Keyphrase Extraction by Optimized Random Walks on Multiple Word Relations, In Proceeding of APWEB-WAIM 2018, 2018.
  23. Chiyu Liu, Zheng Liu, Tao Li, Bin Xia:Topic Modeling for Noisy Short Texts with Multiple Relations, In Proceeding of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018.
  24. Shuting Guo, Zheng Liu, Wenyan Chen, Tao Li: Event extraction from streaming system logs, In Proceeding of the 9th iCatse Conference on Information Science and Applications, 2018.
  25. Longhui Zhang, Zheng Liu, Lei Li, Chao Shen, Tao Li: PatSearch: an integrated framework for patentability retrieval, Knowledge and Information Systems (2018) 57: 135.
  26. Wei Shi, Zheng Liu, Weiguo Zheng, Jeffrey Xu Yu: Extracting Keyphrases Using Heterogeneous Word Relation, In Proceeding of 2017 Australasian Database Conference, 2017.
  27. Tao Li, Yexi Jiang, Chunqiu Zeng, Bin Xia, Zheng Liu, Wubai Zhou, Xiaolong Zhu, Liang Zhang, Jun Wu, Li Xue: FLAP: An End-to-End Event Log Analysis Platform for System Management, In KDD 2017, 2017
  28. Wubai Zhou, Wei Xue, Ramesh Baral, Qing Wang, Chunqiu Zeng, Tao Li, Jian Xu, Zheng Liu, Larisa Shwartz, Genady Grabarnik: STAR: A System for Ticket Analysis and Resolution, In KDD 2017, 2017.
  29. 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, Article 45 (July 2017).
  30. Yu Wang, Bin Xia, Zheng Liu, Yun Li, Tao Li: Named Entity Recognition for Chinese Telecommunications Field based on Char2Vec and Bi-LSTMs, In ISKE 2017, 2017
  31. Zheng Liu, Shuting Guo, Tao Li: Identifying Relevant Subgraphs in Large Networks. In: Morishima A. et al. (eds) Web Technologies and Applications. APWeb 2016. Lecture Notes in Computer Science, vol 9865. Springer, Cham
  32. Tao Li, Chunqiu Zeng, Li Zheng, Lei Li, Yue Huang, Zheng Liu, Qifeng Zhou, Wubai Zhou, Wei Xue: FIU-Miner (A Fast, Integrated, and User-Friendly System for Data Mining) and Its Applications, Knowledge and Information Systems: 1-33. 2016
  33. Zheng Liu, Tao Li, Junchang Wang: A Survey on Event Mining for ICT Network Infrastructure Management. ZTE Communications 14(2): 47-55. 2016
  34. Zheng Liu, Ruoming Jin, Hong Cheng, Jeffrey Xu Yu: Frequent Subgraph Summarization with Error Control. WAIM 2013: 1-12. 2013
  35. Zheng Liu, Jeffrey Xu Yu, Hong Cheng: Approximate Homogeneous Graph Summarization. Journal of Information Processing 20(1): 77-88. 2012
  36. Di Wu, Yiping Ke, Jeffrey Xu Yu, Zheng Liu: Detecting Priming News Events CoRR abs/1201.3458. 2012
  37. Zheng Liu, Jeffrey Xu Yu: On Summarizing Graph Homogeneously. In Proceeding of 2nd Int’l Workshop on Social Networks and Social Media Mining on the Web. 2011
  38. Zheng Liu, Jeffrey Xu Yu: Discovering Burst Areas in Fast Evolving Graphs. In Proceedings of Database Systems for Advanced Applications. 2010
  39. Zhenglu Yang, Jeffrey Xu Yu, Zheng Liu, Masaru Kitsuregawa: Fires on the Web: Towards Efficient Exploring Historical Web Graphs. In Proceedings of Database Systems for Advanced Applications. 2010
  40. Zheng Liu, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin, and Lei Chen. Spotting Significant Changing Subgraphs in Evolving Graphs. In Proceedings of the IEEE International Conference on Data Mining. 2008
  41. Zheng Liu, Jeffrey Xu Yu, Lei Chen, Di Wu. Detection of Shape Anomalies: A Probabilistic Approach Using Hidden Markov Model. In Proceedings of the 24th IEEE International Conference on Data Engineering. 2008
  42. Di Wu, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Zheng Liu. Integrating Multiple Data Sources for Stock Prediction. In Proceedings of 9th International Conference of Web Information Systems Engineering. 2008
  43. Di Wu, Gabriel Fung, Jeffrey Xu Yu, Zheng Liu. Mining Multiple Time Series Co-Movements. In Proceedings of the 10th Asia-Pacific Web Conference. 2008
  44. Zheng Liu, Jeffrey Xu Yu, Xuemin Lin, Hongjun Lu and Wei Wang. Locating motifs in time-series data. In Proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence 3518, pages 343-353, Springer. May, 2005.>
  45. Yi Luo, Zheng Liu, Xuemin Lin, Wei Wang and Jeffrey Xu Yu. Similarity Search with Implicit Object Features. In Proceeding of 6th International Conference on Web-Age Information Management, Springer. 2005

Chinese Journals    中文期刊

  1. 姚杰， 程春玲，韩静，刘峥，云工作流中基于多任务时序卷积网络的异常检测方法，计算机应用，2021，41(6)：1701-1708.
  2. 覃婷婷, 刘峥, 陈可佳. 结合主题词嵌入和注意力机制的主题模型. 计算机工程, 2020
  3. 陈可佳，杨泽宇，刘峥，鲁浩，采用邻域选择策略的图卷积网络模型，第十七届中国机器学习会议，计算机应用. 2019
  4. 顾佩月，刘峥，李云，李涛，基于时滞特征的时序依赖情节发现，计算机应用，2019，39(02)：421-428.
  5. 刘峥，郭舒婷，周绮凤，李涛，网络基础设施中重要网元子图的确定，厦门大学学报(自然科学版)，2018，57(04)：558-564
  6. 吴沐阳，刘峥，王洋，李云，李涛，基于指标相关性的网络运维质量评估模型，计算机应用，2018，38(09)：2535-2542.
  7. 王慧健，刘峥，李云，李涛，基于神经网络语言模型的时间序列趋势预测，计算机工程：1-8
  8. 倪高伟，李涛，刘峥，结合语义和结构的短文本相似度计算，计算机技术与发展，2018，28(08)
  9. 张春焰，李涛，刘峥，基于路径选择的层次多标签分类，计算机技术与发展，2018，28(10)：37-43
  10. 李涛，刘峥，周绮凤，应用驱动的大数据挖掘，中兴通讯 22（2）：49-52. 2016

MPEG Proposals

  1. Zheng Liu, Qiang Zhou, Yanli Li. Huawei Comments on CDVS about the Complexity of the Test Model. ISO/IEC JTC1/SC29/WG11/M25844, 101st MPEG Meeting, Stockholm, Sweden. 2012
  2. Zheng Liu, Guojun Xu. Huawei’s Comments on Augmented Reality Reference Model. ISO/IEC JTC1/SC29/WG11/M26775, 102nd MPEG Meeting, Shanghai, China. 2012
  3. Zheng Liu, Guojun Xu. Huawei’s Proposed Modification to the DTR of Augmented Reality Reference Model. ISO/IEC JTC1/SC29/WG11/M28088, 103rd MPEG Meeting, Geneva, Switzerland. 2013
  4. Zheng Liu, Qiang Zhou, Guojun Xu. Huawei’s Response to CE 4: Preliminary Results by Fourier Transform Based LOG. ISO/IEC JTC1/SC29/WG11/M28090, 103rd MPEG Meeting, Geneva, Switzerland. 2013
  5. Zheng Liu, Qiang Zhou, Guojun Xu, Giovanni Cordara. Huawei’s Response to CE 2: LoG in Frequency Domain. ISO/IEC JTC1/SC29/WG11/M29105, 104th MPEG Meeting, Incheon, Korea. 2013
  6. Zheng Liu, Qiang Zhou, Guojun Xu, Giovanni Cordara. Huawei’s Response to CE 2: LoG in spatial domain is fast. ISO/IEC JTC1/SC29/WG11/M29106, 104th MPEG Meeting, Incheon, Korea. 2013
  7. Zheng Liu, Qiang Zhou, Guojun Xu, Giovanni Cordara. ARRM: Comparison of ARRM and ARCRM. ISO/IEC JTC1/SC29/WG11/M29107, 104th MPEG Meeting, Incheon, Korea. 2013
  8. Zheng Liu, Qiang Zhou, Guojun Xu, Giovanni Cordara. CDVS Huawei’s Response to CE 1: An Improved Block-Based Spatial LoG Interest Point Detector. ISO/IEC JTC1/SC29/WG11/M30170, 105th MPEG Meeting, Vienna, Austria. 2013
  9. Zheng Liu, Qiang Zhou, Guojun Xu, Giovanni Cordara. CDVS: Huawei’s Response to CE 1: An Improved Block-Based Spatial LoG Interest Point Detector. ISO/IEC JTC1/SC29/WG11/M31113, 106th MPEG Meeting, Geneva, Switzerland. 2013