Peng Wang

Orcid: 0000-0002-8136-9621

Affiliations:
  • Fudan University, School of Computer Science, Shanghai, China


According to our database1, Peng Wang authored at least 67 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
DumpyOS: A data-adaptive multi-ary index for scalable data series similarity search.
VLDB J., November, 2024

CIVET: Exploring Compact Index for Variable-Length Subsequence Matching on Time Series.
Proc. VLDB Endow., May, 2024

Static and Streaming Discovery of Maximal Linear Representation Between Time Series.
IEEE Trans. Knowl. Data Eng., January, 2024

Akane: Perplexity-Guided Time Series Data Cleaning.
Proc. ACM Manag. Data, 2024

Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes.
CoRR, 2024

Distance Comparison Operators for Approximate Nearest Neighbor Search: Exploration and Benchmark.
CoRR, 2024

Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

High-precision Online Log Parsing with Large Language Models.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023
AS-Parser: Log Parsing Based on Adaptive Segmentation.
Proc. ACM Manag. Data, December, 2023

Shapelet Based Two-Step Time Series Positive and Unlabeled Learning.
J. Comput. Sci. Technol., December, 2023

Dumpy: A Compact and Adaptive Index for Large Data Series Collections.
Proc. ACM Manag. Data, 2023

Graph- and Tree-based Indexes for High-dimensional Vector Similarity Search: Analyses, Comparisons, and Future Directions.
IEEE Data Eng. Bull., 2023

Heterogeneous Feature Based Time Series Classification With Attention Mechanism.
IEEE Access, 2023

Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
NLC: Search Correlated Window Pairs on Long Time Series.
Proc. VLDB Endow., 2022

ML-Parser: An Efficient and Accurate Online Log Parser.
J. Comput. Sci. Technol., 2022

PLQ: An Efficient Approach to Processing Pattern-Based Log Queries.
J. Comput. Sci. Technol., 2022

Online Summarizing Alerts through Semantic and Behavior Information.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Constructing Compact Time Series Index for Efficient Window Query Processing.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient Consensus Motif Discovery of All Lengths in Multiple Time Series.
Proceedings of the Database Systems for Advanced Applications, 2022

An Interpretable Time Series Classification Approach Based on Feature Clustering.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
ELIS++: a shapelet learning approach for accurate and efficient time series classification.
World Wide Web, 2021

EPLA-DSTree: Extending Piecewise Linear Approximation on a Dynamic Segmentation Tree Index in Sensor-Cloud Systems.
IEEE Access, 2021

GRAB: Finding Time Series Natural Structures via A Novel Graph-based Scheme.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Apache IoTDB: Time-series database for Internet of Things.
Proc. VLDB Endow., 2020

Log Pattern Mining for Distributed System Maintenance.
Complex., 2020

L-Match: A Lightweight and Effective Subsequence Matching Approach.
IEEE Access, 2020

A Two-level Attention-based Sequence-to-Sequence Model for Accurate Inter-patient Arrhythmia Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Similarity join on time series by utilizing a dynamic segmentation index.
Knowl. Inf. Syst., 2019

Fast correlation coefficient estimation algorithm for HBase-based massive time series data.
Frontiers Comput. Sci., 2019

KV-Match: A Subsequence Matching Approach Supporting Normalization and Time Warping.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
A General Depth-First-Search based Algorithm for Frequent Episode Discovery.
Proceedings of the 14th International Conference on Natural Computation, 2018

Finding Maximal Significant Linear Representation between Long Time Series.
Proceedings of the IEEE International Conference on Data Mining, 2018

Efficient Learning Interpretable Shapelets for Accurate Time Series Classification.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

MTSC: An Effective Multiple Time Series Compressing Approach.
Proceedings of the Database and Expert Systems Applications, 2018

HDUMP: A Data Recovery Tool for Hadoop.
Proceedings of the Database Systems for Advanced Applications, 2018

A Real-Time Sensor Network Aggregation Computing System.
Proceedings of the 5th IEEE International Conference on Cyber Security and Cloud Computing, 2018

Matching Consecutive Subpatterns over Streaming Time Series.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
Fine-Grained Pattern Matching Over Streaming Time Series.
CoRR, 2017

KV-match: An Efficient Subsequence Matching Approach for Large Scale Time Series.
CoRR, 2017

A Distributed Multi-level Composite Index for KNN Processing on Long Time Series.
Proceedings of the Database Systems for Advanced Applications, 2017

Clustering Time Series Utilizing a Dimension Hierarchical Decomposition Approach.
Proceedings of the Database Systems for Advanced Applications, 2017

Burst-Based Event Classification on Weakly Labeled Time Series Data of Sensors.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
An efficient MapReduce algorithm for similarity join in metric spaces.
J. Supercomput., 2016

An Efficient Approach of Processing Multiple Continuous Queries.
J. Comput. Sci. Technol., 2016

2014
A Probabilistic Approach to Detect Local Dependencies in Streams.
Proceedings of the Database and Expert Systems Applications, 2014

An Efficient K-means Clustering Algorithm on MapReduce.
Proceedings of the Database Systems for Advanced Applications, 2014

Topical Presentation of Search Results on Database.
Proceedings of the Database Systems for Advanced Applications, 2014

2013
A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series.
Proc. VLDB Endow., 2013

Exploring Computation Locality of Graph Mining Algorithms on MapReduce.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Diversifying Query Suggestions by Using Topics from Wikipedia.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Combination of In-Memory Graph Computation with MapReduce: A Subgraph-Centric Method of PageRank.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

2012
Clustering-Based k-Anonymity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Discovering Frequent Closed Episodes from an event sequence.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Finding semantics in time series.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Stream Prediction Using Representative Episode Rules.
Proceedings of the Data Mining Workshops (ICDMW), 2011

LI-MR: A Local Iteration Map/Reduce Model and Its Application to Mine Community Structure in Large-Scale Networks.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Approximate Query on Historical Stream Data.
Proceedings of the Database and Expert Systems Applications, 2011

2010
An algorithmic approach to event summarization.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Efficient Episode Mining with Minimal and Non-overlapping Occurrences.
Proceedings of the ICDM 2010, 2010

2008
Data-Aware Clustering Hierarchy for Wireless Sensor Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007
A Low-Granularity Classifier for Data Streams with Concept Drifts and Biased Class Distribution.
IEEE Trans. Knowl. Data Eng., 2007

2006
LOCI: Load Shedding through Class-Preserving Data Acquisition.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Efficient Algorithms for Mining Maximal Frequent Concatenate Sequences in Biological Datasets.
Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005

2004
ANNE: An Efficient Framework on View Selection Problem.
Proceedings of the Advanced Web Technologies and Applications, 2004


  Loading...