主要论文

---

• 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)


• 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, P Wang, XS Wang; DCIVET: Exploring Compact Index for Variable-Length Subsequence Matching on Time Series, VLDB, 2024.


• X Han, H Xiong, Z He, P 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.


• 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, P 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, P 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.


• Jing Zhao, Peng Wang, Bo Tang, Lu Liu, Chen Wang, Wei Wang, Jianmin Wang, Constructing Compact Time Series Index for Efficient Window Query Processing, ICDE 2022.


• Shuye Pan, Peng Wang, Chen Wang, Wei Wang, Jianmin Wang, NLC: Search Correlated Window Pairs on Long Time Series, VLDB 2022 .


• Mingming Zhang, Peng Wang, Wei Wang, Efficient Consensus Motif Discovery of All Lengths in Multiple Time Series, DASFAA 2022.


• Fan Qiao, Peng Wang, Wei Wang, An Interpretable Time Series Classification Approach Based on Feature Clustering., DASFAA 2022.


• Jia Chen, Peng Wang, Wei Wang, Online Summarizing Alerts through Semantic and Behavior Information, ICSE 2022.


• 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.


• Yi Lu, Peng Wang, Bo Tang, Shen Liang, Wei Wang, GRAB: Finding Time Series Natural Structures via A Novel Graph-Based Scheme, ICDE 2021.


• Chen Wang, Xiangdong Huang, Jialin Qiao, Tian Jiang, Lei Rui, Jinrui Zhang, Rong Kang, Julian Feinauer, Kevin A McGrail, Peng Wang, Diaohan Luo, Jun Yuan, Jianmin Wang, Jiaguang Sun, Apache IoTDB: time-series database for internet of things VLDB 2020.


• Hanbo Zhang, Peng Wang, Zicheng Fang, Zeyu Wang, Wei Wang, ELIS++: A Shapelet Learning Approach for Accurate and Efficient Time Series Classification, WWW Journal 2020.


• 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, JCST 2020.


• Jia Chen, Peng Wang, Shiqing Du, Wei Wang, Log Pattern Mining for Distributed System Maintenance, COMPLEXITY 2020.


• Jiaye Wu, Peng Wang, Ningting Pan, Chen Wang, Wei Wang, Jianmin Wang, KV-match: A Subsequence Matching Approach Supporting Normalization and Time Warping, ICDE 2019.


• Kefeng Feng, Jiaye Wu, Peng Wang, Wei Wang, MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis, DASFAA 2019.


• Zicheng Fang，Peng Wang，Wei Wang，Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018.


• Jiaye Wu, Yang Wang, Peng Wang, Jian Pei, Wei Wang, Finding Maximal Significant Linear Representation between Long Time Series, ICDM 2018.


• Jinghua Wang, Qiuhong Li, Zhongsheng Li, Peng Wang, Yang Wang, Wei Wang, Ningting Pan, Mingmin Chi, Similarity Join on Time Series by Utilizing a Dynamic Segmentation Index, Knowledge and Information Systems, KAIS 2018.


• Xiaqing Wang, Zicheng Fang, Peng Wang, Ruiyuan Zhu, and Wei Wang， A Distributed Multi-level Composite Index for KNN Processing on Long Time Series, DASFAA 2017.


• Qiuhong Li, Peng Wang, Yang Wang, Wei Wang, Yimin Liu, Jiaye Wu, Danyang Dou, Clustering Time Series Utilizing a Dimension Hierarchical Decomposition Approach, DASFAA 2017.


• Qiuhong Li, Peng Wang, Wei Wang, Hao Hu, Zhongsheng Li, Junxian Li, An Efficient K-means Clustering Algorithm On MapReduce, DASFAA 2014.


• Hao Hu, Mingxi Zhang, Zhenying He, Peng Wang, Wei Wang, Chengfei Liu, Topical Presentation of Search Results on Database, DASFAA 2014.


• Yang Wang, Peng Wang, Jian Pei, Wei Wang, Sheng Huang: A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series, PVLDB 2013.


• Peng Wang, Haixun Wang, Wei Wang: Finding semantics in time series, SIGMOD 2011.


• Peng Wang, Haixun Wang, Majin Liu, Wei Wang: An algorithmic approach to event summarization, SIGMOD 2010.


• Huisheng Zhu, Peng Wang, Xianmang He, Yujia Li, Wei Wang, Baile Shi. Efficient Episode Mining with Minimal and Non-overlapping Occurrences, ICDM 2010.


• 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, ICDM 2006.


• Peng Wang, Haixun Wang, Xiaochen Wu, Wei Wang, Baile Shi: On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams, ICDM 2005.