2025

• Zeyu Wang, Qitong Wang, Xiaoxing Cheng, Peng Wang, Themis Palpanas, Wei Wang,

  Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes,

  VLDB 2025, London, UK. (Accepted)

2024

• Xiaolei Chen, Jie Shi, Jia Chen, Peng Wang，Wei Wang;

  High-precision Online Log Parsing with Large Language Models,

  ICSE-Companion 2024.

• Xu Zhang, Zhipeng Xie, Haiyang Yu, Qitong Wang, Peng Wang， Wei Wang;

  Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion,

  ACM Multimedia 2024.

• Zeyu Wang, Qitong Wang,Peng Wang

  Themis Palpanas, Wei Wang; DumpyOS: A Data-Adaptive Multi-ary Index for Scalable Data Series Similarity Search,

  VLDB Journal, 2024.

• H Xiong, H Zhang, Z Wang, Z He, Peng Wang， XS Wang;

  DCIVET: Exploring Compact Index for Variable-Length Subsequence Matching on Time Series,

  VLDB, 2024.

• X Han, H Xiong, Z He,  Peng Wang，C Wang, XS Wang;

  Akane: Perplexity-Guided Time Series Data Cleaning,

  Proceedings of the ACM on Management of Data 2 (3), 1-26, 2024.

• Xiaolei Chen, Jia Chen, Peng Wang，Wei Wang,

  AS-Parser: Log Parsing Based on Adaptive Segmentation.

  SIGMOD 2024.

• Xu Zhang; Zhengang Huang; Yunzhi Wu; Xun Lu; Erpeng Qi; Yunkai Chen; Zhongya Xue; Peng Wang; Wei Wang,

  Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity.

  ICASSP 2024.

2023

• Zeyu Wang, Zhenying He, Peng Wang, Yang Wang, Wei Wang,

  Static and Streaming Discovery of Maximal Linear Representation Between Time Series.

  TKDE 2023.

• Hanbo Zhang, Jiangxin Li, Shen Liang, Peng Wang, Themis Palpanas, Chen Wang, Wei Wang, Haoxuan Zhou, Jianwei Song, Wen Lu.

  Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications

  SIGKDD 2023.

• Z Gong, Q Liu, J Ding, X Wang, Peng Wang

  A Novel Multi-dimensional Time-series Data Anomaly Detection Model Based on Generative Adversarial Network Aided Autoencoder

  IFAC-PapersOnLine 56 (2), 8085-8090, 2023.

• Z Wang, Peng Wang, T Palpanas, W Wang.

  Graph-and Tree-based Indexes for High-dimensional Vector Similarity Search: Analyses, Comparisons, and Future Directions

  IEEE Data Eng. Bull. 46 (3), 3-21, 2023.

• Zeyu Wang, Qitong Wang,Peng Wang,

  Themis Palpanas, Wei Wang, Dumpy: A Compact and Adaptive Index for Large Data Series Collections

  SIGMOD 2023.

  
  

2022

• Shuye Pan, Peng Wang, Chen Wang, Wei Wang, Jianmin Wang.

  NLC: Search Correlated Window Pairs on Long Time Series

  48th International Conference on Very Large Databases（VLDB 2022, CCF A). 

• Jing Zhao, Peng Wang, Bo Tang, Lu Liu, Chen Wang, Wei Wang, Jianmin Wang.

  Constructing Compact Time Series Index for Efficient Window Query Processing,

  38th IEEE International Conference on Data Engineering (ICDE 2022, CCF A).

• Jia Chen, Peng Wang, Wei Wang.

  Online Summarizing Alerts through Semantic and Behavior Information,

  44th International Conference on Software Engineering(ICSE 2022, CCF A).

• Mingming Zhang, Peng Wang, Wei Wang.

  Efficient Consensus Motif Discovery of All Lengths in Multiple Time Series,

  27th International Conference on Database Systems for Advanced Applications(DASFAA 2022, CCF B). 

• Fan Qiao, Peng Wang, Wei Wang.

  An Interpretable Time Series Classification Approach Based on Feature Clustering.

  27th International Conference on Database Systems for Advanced Applications(DASFAA 2022, CCF B).

2021

• Yi Lu, Peng Wang, Bo Tang, Shen Liang, Wei Wang,

  GRAB: Finding Time Series Natural Structures via A Novel Graph-Based Scheme,

  38th IEEE International Conference on Data Engineering(ICDE 2021, CCF A）

• Yuqian Zhu, Jiaying Deng, Peng Wang, Wei Wang,

  ML-Parser: An Efficient and Accurate Online Log Parser，

  Journal of Computer Science and Technology（JCST 2021, CCF B）

2020

• Hanbo Zhang, Peng Wang, Zicheng Fang, Zeyu Wang, Wei Wang,

  ELIS++: A Shapelet Learning Approach for Accurate and Efficient Time Series Classification.

  World Wide Web Journal, 2020. (CCF B)

• Jia Chen, Peng Wang, Fan Qiao, Shiqing Du, Wei Wang,

  PLQ: An Efficient Approach to Process Pattern based Log Query.

  Journal of Computer Science and Technology, 2020. (CCF B)

• Jia Chen, Peng Wang, Shiqing Du, Wei Wang,

  Log Pattern Mining for Distributed System Maintenance.

  COMPLEXITY, 2020.

• Kefeng Feng, Peng Wang, Jiaye Wu, Wei Wang,

  L-match: A Lightweight And Effective Subsequence Matching Approach.

  IEEE Access, 2020. 

  
  

2019

• Jiaye Wu, Peng Wang, Ningting Pan, Chen Wang, Wei Wang, Jianmin Wang,

  KV-match: A Subsequence Matching Approach Supporting Normalization and Time Warping,

  35th IEEE International Conference on Data Engineering（ICDE 2019, CCF A）.

• Kefeng Feng, Jiaye Wu, Peng Wang, Wei Wang,

  MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis.

  24th International Conference on Database Systems for Advanced Applications（DASFAA 2019, CCF B）. 

2018

• Zicheng Fang，Peng Wang，Wei Wang，

  Efficient Learning Interpretable Shapelets for Accurate Time Series Classification.

  34th IEEE International Conference on Data Engineering（ICDE 2018, CCF A）.

• Zhongsheng Li, Qiuhong Li, Wei Wang, Qitong Wang, Fengbin Qi, Yimin Liu, and Peng Wang,

  HDUMP: A Data Recovery Tool for Hadoop.

  23th International Conference on Database Systems for Advanced Applications(DASFAA 2018).

• Ningting Pan, Peng Wang, Jiaye Wu, Wei Wang,

  MTSC: An Effective Multiple Time Series Compressing Approach,

  29th International Conference on Database and Expert Systems Applications(DEXA 2018).

• Yumin Zhou, Peng Wang, Wei Wang,

  A Real-time Sensor Network Aggregation Computing System,

  The 5th IEEE International Conference on Cyber Security and Cloud(CSCLOUD 2018)

2017

• Xiaqing Wang, Zicheng Fang, Peng Wang, Ruiyuan Zhu, and Wei Wang，

  A Distributed Multi-level Composite Index for KNN Processing on Long Time Series，

  22th International Conference on Database Systems for Advanced Applications(DASFAA 2017, CCF B).

• Qiuhong Li, Peng Wang, Yang Wang, Wei Wang, Yimin Liu, Jiaye Wu, Danyang Dou,

  Clustering Time Series Utilizing a Dimension Hierarchical Decomposition Approach.

  22th International Conference on Database Systems for Advanced Applications(DASFAA 2017, CCF B).

2014

• Qiuhong Li, Peng Wang, Wei Wang, Hao Hu, Zhongsheng Li, Junxian Li,

  An Efficient K-means Clustering Algorithm On MapReduce,

  19th International Conference on Database Systems for Advanced Applications(DASFAA 2014, CCF B).

• Hao Hu, Mingxi Zhang, Zhenying He, Peng Wang, Wei Wang, Chengfei Liu,

  Topical Presentation of Search Results on Database,

  19th International Conference on Database Systems for Advanced Applications(DASFAA 2014, , CCF B).

2013

• Yang Wang, Peng Wang, Jian Pei, Wei Wang, Sheng Huang.

  A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series.

  PVLDB 6(10): 793-804, 2013 , CCF A.

2011

• Peng Wang, Haixun Wang, Wei Wang，

  Finding Semantics in Time Series，

  Proceedings of the ACM Conference on Management of Data(SIGMOD 2011,  CCF A).

• Huisheng Zhu, Peng Wang, Wei Wang, Baile Shi,

  Stream Prediction Using Representative Episode Rules.

  The IEEE International Conference on Data Mining workshop, 2011.

• Qiuhong Li, Zhihui Wang, Yimin Liu, Wei Wang, Peng Wang, Tao Yu,

  LI-MR: A Local Iteration Map/Reduce Model and Its Application to Mine Community Structure in Large-scale Networks.

  The IEEE International Conference on Data Mining workshop, 2011.

• Qiyang Duan, Peng Wang, Mingxi Wu, Wei Wang, Sheng Huang.

  Approximate Query on Historical Stream Data. Database and Expert Systems Applications,

  Database and Expert Systems Applications(DEXA 2011), 128-135. Toulouse, France.
  

• Ranwei Zhu，Peng Wang, Majin Liu,

  Counting based Frequent Item Mining in Stream Data,

  Journal of Computer Research and Development，Vol(10)，P1803-1811, 2011.(in Chinese)

2010

• Peng Wang, Haixun Wang, Majin Liu, Wei Wang，

  An Algorithmic Approach to Event Summarization，

  Proceedings of the ACM Conference on Management of Data(SIGMOD 2010, CCF A).

• Huisheng Zhu, Peng Wang, Xianmang He, Yujia Li, Wei Wang, Baile Shi.

  Efficient Episode Mining with Minimal and Non-overlapping Occurrences.

  The 10th IEEE International Conference on Data Mining(ICDM 2010, CCF B).

• Peng Huang，Peng Wang, Wei Wang,

  Fast algorithm for frequent episodes counting in event stream.

  Journal of Frontiers of Computer Science & Technology，4(10)，909-917. 2010. (in Chinese)

• Majin Liu，Peng Wang, Wei Wang，

  A Rotative Algorithm for Mining Frequent Items over Data Streams.

  Journal of Computer Research and Development，47 Suppl. I，342-349. 2010. (in Chinese)

Before 2010

• Xiaochen Wu, Peng Wang, Wei Wang, Baile Shi.

  Data-Aware Clustering Hierarchy for Wireless Sensor Networks.

  Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD 2008): 795-802.

• Qiutang Wang, Peng Wang, Haofeng Zhou, Wei Wang.

  Sliding-window Aggregation Query on Probability Data Stream

  Journal of Computer Research and Development, 2008, 45, (10A), 169-174. (in Chinese)

• Peng Wang, Haixun Wang, Xiaochen Wu, Wei Wang, Baile Shi，

  A Low Granularity Classifier for Data Streams with Concept Drifts and Biased Class Distribution，

  IEEE Transactions on Knowledge and Data Engineering, Volume 19, Issue 9. 2007 Page(s):1202 – 1213.

• Peng Wang, Haixun Wang, Wei Wang, Baile Shi, Philip S. Yu，

  LOCI: Load Shedding through Class-Preserving Data Acquisition.

  The 2006 IEEE International Conference on Data Mining（ICDM2006），Hong Kong.

• Peng Wang, Haixun Wang, Xiaochen Wu, Wei Wang, Baile Shi，

  On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams.

  The 2005 IEEE International Conference on Data Mining,（ICDM2005）,Houston U.S.

• Jin Pan，Peng Wang，Wei Wang，Baile Shi，Genxing Yang，

  Efficient Algorithms for Mining Maximal Frequent Concatenate Sequences in Biological Datasets.

  The Fifth International Conference on Computer and Information Technology (CIT2005)，IEEE Press，2005.

• Peng Wang, Xiaochen Wu, Chen Wang, Wei Wang, Baile Shi,

  CAPE: an Frequent Pattern based Classification Algorithm in Stream Data,

  Journal of Computer Research and Development, 2004, vol.41, no.10, OCT., p1677-p1683. (in Chinese)

• Yong Yan, Peng Wang, Chen Wang, Haofeng Zhou, Wei Wang, Baile Shi，

  ANNE: An Efficient Framework on View Selection Problem.

  The Sixth Asia Pacific Web Conference (APWEB2004), Hangzhou, Lecture Notes in Computer Science，China, 2004.