Locating Motifs in Time-Series Data. - Zheng Liu 001; Jeffrey Xu Yu; Xuemin Lin 001; Hongjun Lu; Wei Wang 011 (PAKDD, 2005)

Similarity Search with Implicit Object Features. - Yi Luo 001; Zheng Liu 001; Xuemin Lin 001; Wei Wang 011; Jeffrey Xu Yu (WAIM, 2005)

Mining Multiple Time Series Co-movements. - Di Wu 008; Gabriel Pui Cheong Fung; Jeffrey Xu Yu; Zheng Liu 001 (APWeb, 2008)

Detection of Shape Anomalies: A Probabilistic Approach Using Hidden Markov Models. - Zheng Liu 001; Jeffrey Xu Yu; Lei Chen 002; Di Wu 008 (ICDE, 2008)

Spotting Significant Changing Subgraphs in Evolving Graphs. - Zheng Liu 001; Jeffrey Xu Yu; Yiping Ke; Xuemin Lin 001; Lei Chen 002 (ICDM, 2008)

Integrating Multiple Data Sources for Stock Prediction. - Di Wu 008; Gabriel Pui Cheong Fung; Jeffrey Xu Yu; Zheng Liu 001 (WISE, 2008)

Discovering Burst Areas in Fast Evolving Graphs. - Zheng Liu 001; Jeffrey Xu Yu (DASFAA (1), 2010)

Fires on the Web: Towards Efficient Exploring Historical Web Graphs. - Zhenglu Yang; Jeffrey Xu Yu; Zheng Liu 001; Masaru Kitsuregawa (DASFAA (1), 2010)

On Summarizing Graph Homogeneously. - Zheng Liu 001; Jeffrey Xu Yu (DASFAA Workshops, 2011)

Summarizing static graphs and mining dynamic graphs. - Zheng Liu 001 (2011)

Detecting Priming News Events - Di Wu 008; Yiping Ke; Jeffrey Xu Yu; Zheng Liu 001 (CoRR, 2012)

Approximate Homogeneous Graph Summarization. - Zheng Liu 001; Jeffrey Xu Yu; Hong Cheng 001 (J. Inf. Process., 2012)

Frequent Subgraph Summarization with Error Control. - Zheng Liu 001; Ruoming Jin; Hong Cheng 001; Jeffrey Xu Yu (WAIM, 2013)

Identifying Relevant Subgraphs in Large Networks. - Zheng Liu 001; Shuting Guo; Tao Li 001; Wenyan Chen (APWeb Workshops, 2016)

Extracting Keyphrases Using Heterogeneous Word Relations. - Wei Shi 003; Zheng Liu 001; Weiguo Zheng; Jeffrey Xu Yu (ADC, 2017)

Named entity recognition for Chinese telecommunications field based on Char2Vec and Bi-LSTMs. - Yu Wang 072; Bin Xia 003; Zheng Liu 001; Yun Li 009; Tao Li 001 (ISKE, 2017)

FLAP: An End-to-End Event Log Analysis Platform for System Management. - Tao Li 001; Yexi Jiang; Chunqiu Zeng; Bin Xia 003; Zheng Liu 001; Wubai Zhou; Xiaolong Zhu; Wentao Wang 006; Liang Zhang; Jun Wu; Li Xue; Dewei Bao (KDD, 2017)

STAR: A System for Ticket Analysis and Resolution. - Wubai Zhou; Wei Xue; Ramesh Baral; Qing Wang 016; Chunqiu Zeng; Tao Li 001; Jian Xu 009; Zheng Liu 001; Larisa Shwartz; Genady Ya. Grabarnik (KDD, 2017)

Data-Driven Techniques in Computing System Management. - Tao Li 001; Chunqiu Zeng; Yexi Jiang; Wubai Zhou; Liang Tang; Zheng Liu 001; Yue Huang (ACM Comput. Surv., 2017)

FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications. - Tao Li 001; Chunqiu Zeng; Wubai Zhou; Wei Xue; Yue Huang; Zheng Liu 001; Qifeng Zhou; Bin Xia 003; Qing Wang 016; Wentao Wang 006; Xiaolong Zhu (Knowl. Inf. Syst., 2017)

Keyphrase Extraction Based on Optimized Random Walks on Multiple Word Relations. - Wenyan Chen; Zheng Liu 001; Wei Shi 003; Jeffrey Xu Yu (APWeb/WAIM (2), 2018)

SMAS: An Investor-Oriented Social Media Analysis System for Movies. - Zheng Liu 001; Kejia Chen 001; Yanwen Qu; Shuting Guo; Chi-Yu Liu; Chengbin Jia (IEEE BigData, 2018)

Event Extraction from Streaming System Logs. - Shuting Guo; Zheng Liu 001; Wenyan Chen; Tao Li 001 (ICISA, 2018)

Topic Modeling for Noisy Short Texts with Multiple Relations. - Chi-Yu Liu; Zheng Liu 001; Tao Li 001; Bin Xia 003 (SEKE, 2018)

Multiple Relational Topic Modeling for Noisy Short Texts. - Zheng Liu 001; Chi-Yu Liu; Bin Xia 003; Tao Li 001 (Int. J. Softw. Eng. Knowl. Eng., 2018)

PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers. - Ziyu Shen; Xusheng Zhang; Binghui Liu; Bin Xia 003; Zheng Liu 001; Yun Li 009; Saiqin Long (CBD, 2019)

PPGCN: A Message Selection Based Approach for Graph Classification. - Xinyang Liu; Zheng Liu 001; Yanwen Qu (ICONIP (4), 2019)

ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework. - Junjie Yin; Yun Li 009; Zheng Liu 001; Jian Xu 009; Bin Xia 003; Qianmu Li (IJCNN, 2019)

Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network. - Ziyu Shen; Xusheng Zhang; Bin Xia 003; Zheng Liu 001; Yun Li 009 (ISPA/BDCloud/SocialCom/SustainCom, 2019)

SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition. - Yu Wang 072; Yun Li 009; Ziye Zhu; Bin Xia 003; Zheng Liu 001 (PAKDD (1), 2019)

Estimating Power Consumption of Containers and Virtual Machines in Data Centers. - Xusheng Zhang; Ziyu Shen; Bin Xia 003; Zheng Liu 001; Yun Li 009 (CLUSTER, 2020)

DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction. - Shajia Shan; Ziyu Shen; Bin Xia 003; Zheng Liu 001; Yun Li 009 (ICONIP (3), 2020)

What nodes vote to? Graph classification without readout phase. - Yuxing Tian; Zheng Liu 001; Weiding Liu; Zeyu Zhang; Yanwen Qu (ICPR, 2020)

Cross Message Passing Graph Neural Network. - Zeyu Zhang; Zheng Liu 001; Qiyun Zhou; Yanwen Qu (IJCNN, 2020)

Collaboratively Modeling and Embedding of Latent Topics for Short Texts. - Zheng Liu 001; Tingting Qin; Ke-Jia Chen 001; Yun Li 009 (IEEE Access, 2020)

Data characteristics aware prediction model for power consumption of data center servers. - Ziyu Shen; Qing Zhou; Xusheng Zhang; Bin Xia 003; Zheng Liu 001; Yun Li 009 (Concurr. Comput. Pract. Exp., 2022)

Layer Imbalance Aware Multiplex Network Embedding. - Kejia Chen 001; Yinchu Qiu; Zheng Liu 001 (CoRR, 2022)

Heterogeneous graph convolutional network with local influence. - Ke-Jia Chen 001; Hao Lu; Zheng Liu 001; Jiajun Zhang (Knowl. Based Syst., 2022)

Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings. - Zheng Liu 001; Jialing Zhang; Yun Li 009 (Knowl. Based Syst., 2022)

One-to-many comparative summarization for patents. - Zheng Liu 001; Jialing Zhang; Tingting Qin; Yanwen Qu; Yun Li 009 (Scientometrics, 2022)

Better Data Distillation by Condensing the Interpolated Graphs. - Yang Sun; Yu Xiang; Ziyuan Wang; Zheng Liu 001 (CBD, 2023)

Structural Imbalance Aware Graph Augmentation Learning. - Zulong Liu; Kejia Chen 001; Zheng Liu 001 (CoRR, 2023)

PM$^{2}$2VE: Power Metering Model for Virtualization Environments in Cloud Data Centers. - Ziyu Shen; Xusheng Zhang; Zheng Liu 001; Yun Li 009 (IEEE Trans. Cloud Comput., 2023)

Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting. - Ziyu Shen; Binghui Liu; Qing Zhou; Zheng Liu 001; Bin Xia 003; Yun Li 009 (ACM Trans. Intell. Syst. Technol., 2023)

Collaborative bi-aggregation for directed graph embedding. - Linsong Liu; Ke-Jia Chen 001; Zheng Liu 001 (Neural Networks, 2023)

SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning. - Wenjun Wang; Jiacheng Lu; Kejia Chen 001; Zheng Liu 001; Shilong Sang (CoRR, 2024)

Layer imbalance-aware multiplex network embedding. - Ke-Jia Chen 001; Yinchu Qiu; Zheng Liu 001; Wenhui Mu (Knowl. Inf. Syst., 2024)

HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity. - Shilong Sang; Ke-Jia Chen 001; Zheng Liu 001 (CoRR, 2025)

Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics. - Enming Zhang; Zheng Liu 001; Yu Xiang; Yanwen Qu (CoRR, 2025)

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks. - Ke-Jia Chen 001; Wenhui Mu; Zheng Liu 001 (CoRR, 2025)

SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks. - Ke-Jia Chen 001; Wenhui Mu; Zulong Liu; Zheng Liu 001 (ACM Trans. Intell. Syst. Technol., 2025)