Chen Wang

Orcid: 0000-0003-1698-8992

Affiliations:
  • Tsinghua University, School of Software / National Engineering Laboratory for Big Data Software, Beijing, China


According to our database1, Chen Wang authored at least 47 papers between 2011 and 2024.

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Bibliography

2024
Self-Tuning Transfer Dynamic Convolution Autoencoder for Quality Prediction of Multimode Processes With Shifts.
IEEE Trans. Ind. Informatics, September, 2024

Apache TsFile: An IoT-native Time Series File Format.
Proc. VLDB Endow., August, 2024

Distance-based Outlier Query Optimization in Apache IoTDB.
Proc. VLDB Endow., July, 2024

On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB.
Proc. VLDB Endow., July, 2024

Time Series Representation for Visualization in Apache IoTDB.
Proc. ACM Manag. Data, February, 2024

Determining Exact Quantiles with Randomized Summaries.
Proc. ACM Manag. Data, February, 2024

Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling.
IEEE Trans. Instrum. Meas., 2024

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

Taxonomy-Guided Zero-Shot Recommendations with LLMs.
CoRR, 2024

Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction.
CoRR, 2024

BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

REGER: Reordering Time Series Data for Regression Encoding.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

On Tuning Raft for IoT Workload in Apache IoTDB.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
TsQuality: Measuring Time Series Data Quality in Apache IoTDB.
Proc. VLDB Endow., 2023

Grouping Time Series for Efficient Columnar Storage.
Proc. ACM Manag. Data, 2023

Apache IoTDB: A Time Series Database for IoT Applications.
Proc. ACM Manag. Data, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
CoRR, 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

Backward-Sort for Time Series in Apache IoTDB.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Non-Blocking Raft for High Throughput IoT Data.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning.
IEEE Trans. Ind. Informatics, 2022

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

CrowdIM: Crowd-Inspired Intelligent Manufacturing Space Design.
IEEE Internet Things J., 2022

VAE4RSS: A VAE-based neural network approach for robust soft sensor with application to zinc roasting process.
Eng. Appl. Artif. Intell., 2022

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
CoRR, 2022

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.
CoRR, 2022

Requirements Engineering for Machine Learning: A Review and Reflection.
Proceedings of the 30th IEEE International Requirements Engineering Conference Workshops, 2022

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

Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications.
IEEE Trans. Ind. Informatics, 2021

Pre-training Graph Neural Network for Cross Domain Recommendation.
CoRR, 2021

Deep Fraud Detection on Non-attributed Graph.
CoRR, 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

Time Series Data Cleaning: A Survey.
IEEE Access, 2020

Swapping Repair for Misplaced Attribute Values.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection.
CoRR, 2019

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

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

2017
Exploiting Stable Data Dependency in Stream Processing Acceleration on FPGAs.
ACM Trans. Embed. Comput. Syst., 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

2016
PISA: An Index for Aggregating Big Time Series Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Schema Management for Document Stores.
Proc. VLDB Endow., 2015

Foreseer: Workload-Aware Data Storage for MapReduce.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014
MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs.
Proc. VLDB Endow., 2014

2011
Extended XML Tree Pattern Matching: Theories and Algorithms.
IEEE Trans. Knowl. Data Eng., 2011


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