王晨

王晨

论文

* Corresponding author.

  1. Qi Wang, Shengguo Li, Xiaojian Yang, Deshun Bi, Chen Wang, Song Wang, Tiejun Li, Yujuan Tan, and Bo Yang. A Unified Multi-Dimensional Parallel Algorithm for Communication-Avoiding SpMM. The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC). 2026.
  2. Song Wang, Chen Wang, Jianchun Wang, Xin Yu, Zhe Xu, Shengguo Li, Linjie Zhang, Yuchao Guo, and Jun Ding. A comprehensive CFD lifecycle dataset for marine vessel hydrodynamics. Scientific Data (Nature Portfolio). 2026.
  3. Qiang Liu, Zhiqiang Zhan, Jingjing Wang, Chen Wang, and S. Joe Qin. Toward Lightweight Dynamic Convolutional Neural Network Modeling for Soft Sensors. IEEE Transactions on Cybernetics (TCYB). 2026.
  4. Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Chen Wang, Mingsheng Long, Jianmin Wang. Deep Time Series Models: A Comprehensive Survey and Benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2026.
  5. Zipeng Qiu, Chenyue Li, You Peng, Guangxin He, Binhang Yuan, and Chen Wang*. TQA-Bench: Evaluating LLMs for Multi-Table Question Answering. IEEE Transactions on Big Data. To appear, 2026.
  6. Yunzhong Qiu, Zhiyao Cen, Zhongyi Pei, Chen Wang, Jianmin Wang. Adapt Data to Model: Adaptive Transformation Optimization for Domain-Shared Time Series Foundation Models. International Conference on Learning Representations (ICLR). 2026.
  7. Xiaoou Ding, Zekai Qian, Siying Chen, Hongbin Hu, Chen Wang, Hongzhi Wang, Jianmin Wang. DMCO: Budget-Aware Co-Optimization of Data Cleaning and AutoML. International Conference on Machine Learning (ICML). 2026.
  8. Xiaojian Zhang, Zhiheng Liu, Shaoxu Song, Xiangdong Huang, Chen Wang, and Jianmin Wang. Deferred Flushing for Out-of-Order Arrivals in Apache IoTDB. IEEE International Conference on Data Engineering (ICDE). 2026.
  9. Xiaoou Ding, Hongbin Hu, Songnan Jiang, Muyun Zhou, Chen Wang, Jingru Yang, and Hongzhi Wang. PROCore: Robust Core-set Selection via Pareto Multi-dimensional Optimization from Noisy Data. IEEE International Conference on Data Engineering (ICDE). 2026.
  10. You Peng, Youhe Jiang, Wenqi Jiang, Chen Wang, and Binhang Yuan. Hexgen-Flow: Optimizing LLM Inference Request Scheduling for Agentic Text-to-SQL. IEEE International Conference on Data Engineering (ICDE). 2026.
  11. Xiaoou Ding, Haifeng Cheng, Yanshuo Liu, Chen Wang, Hongzhi Wang. MAPPipe: A System for Bridging Efficiency and Quality in Data Preprocessing via Knowledge-Augmented Structural Pruning. International Conference on Very Large Data Bases (VLDB) demo. 2026.
  12. Xiaoou Ding, Muyun Zhou, Yida Liu, Chen Wang, Hongzhi Wang and Jianmin Wang. bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data. Proceedings of the VLDB Endowment (PVLDB). 2025.
  13. Wang Song, Chen Wang, Jianchun Wang, Shengguo Li, Rui Li and Zhiyong Peng. BLAEQ: A Multigrid Index for Spatial Query on Geometry Data. Proceedings of the VLDB Endowment (PVLDB). 2025.
  14. Yuxin Tang, Feng Zhang, Jiawei Guan, Yuan Tian, Xiangdong Huang, Chen Wang, Jianmin Wang, Xiaoyong Du. Improving Time Series Data Compression in Apache loTDB. Proceedings of the VLDB Endowment (PVLDB). 2025.
  15. Xiaoou Ding, Zekai Qian, Hongzhi Wang, Siying Chen, Yafeng Tang, Hongbin Su, Huan Hu, Chen Wang. UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow. Proceedings of the VLDB Endowment (PVLDB). 2025.
  16. Zekai Qian, Xiaoou Ding, Chen Wang, Hongzhi Wang. DemandClean: A Multi-Objective Learning Framework for Balancing Model Tolerance to Data Authenticity and Diversity. Proceedings of the VLDB Endowment (PVLDB). 2025.
  17. Xiaoou Ding, Yanshuo Liu, Zhounan Chen, Hongzhi Wang, Chen Wang, Jianmin Wang. TARImpute: Task-Aware Auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies. Proceedings of the VLDB Endowment (PVLDB). 2025.
  18. Xiaoou Ding, Muyun Zhou, Yida Liu, Zekai Qian, Chen Wang, Hongzhi Wang, Jianmin Wang. $t$DCDiscover: Mining Threshold Denial Constraints from Time Series Data. IEEE International Conference on Data Engineering (ICDE). 2025.
  19. Xiaoou Ding, Hongbin Su, Zekai Qian, Wenxuan Cui, Siying Chen, Zheng Liang, Chen Wang, Hongzhi Wang. CBAClean:A Comprehensive System for Recommending Data Cleaning Solutions Through Cost-Benefit Analysis in Data Quality Management. IEEE International Conference on Data Engineering (ICDE). 2025.
  20. Rongzhao Chen, Xiangpeng Hu, Xiangdong Huang, Chen Wang, Shaoxu Song, and Jianmin Wang. Migration-Free Elastic Storage of Time Series in Apache IoTDB. Proceedings of the VLDB Endowment (PVLDB). 2025.
  21. Xu Zhang, Peng Wang, Chen Wang, Zhe Xu, Xiaohua Nie, and Wei Wang. Global Feature Enhancing and Fusion Framework for Strain Gauge Status Recognition. In Companion Proceedings of the ACM Web Conference (WWW Companion). 2025.
  22. Lei Rui, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang, and Zhao Cao. Largest Triangle Sampling for Visualizing Time Series in Database. ACM Conference on Management of Data (SIGMOD). 2025.
  23. Wang C, Qiao J, Huang X, et al. Apache IoTDB: A Time Series Database for Large Scale IoT Applications. ACM Transactions on Database Systems (TODS). 2025.
  24. Xiaoou Ding, C. Peng, Muyun Zhou, Hongzhi Wang, Zhongyi Pei, Chen Wang, Jianmin Wang. Impute4TSC: Evaluating Missing Value Imputation Methods for Time Series Classification. IEEE International Conference on Data Engineering Workshops (ICDEW). 2025.
  25. Guang Yan, Yuhui Zhang, Zimu Guo, Lutan Zhao, Xiaojun Chen, Chen Wang, Wenhao Wang, Dan Meng, Rui Hou. Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity. IEEE Symposium on Security and Privacy (S&P). 2025.
  26. Lei Rui, Xiangdong Huang, Shaoxu Song, Yuyuan Kang, Chen Wang, Jianmin Wang. Time Series Representation for Visualization in Apache IoTDB. SIGMOD. 2024.
  27. Ziling Chen, Haoquan Guan, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang. Determining Exact Quantiles with Randomized Summaries. SIGMOD. 2024.
  28. Xiaoyu Han, Haoran Xiong, Zhenying He, Peng Wang, Chen Wang, X. Sean Wang. Akane: Perplexity-Guided Time Series Data Cleaning. SIGMOD. 2024.
  29. Xiaoou Ding, Yixing Lu, Hongzhi Wang, Chen Wang, Yida Liu, Jianmin Wang. DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data. International Conference on Very Large Data Bases (VLDB). 2024.
  30. Xiaoou Ding, Yichen Song, Hongzhi Wang, Chen Wang, Donghua Yang. MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data. VLDB. 2024.
  31. Xiaoou Ding, Yichen Song, Hongzhi Wang, Donghua Yang, Chen Wang, Jianmin Wang. Clean4TSDB: A Data Cleaning Tool for Time Series Databases. VLDB demo. 2024.
  32. Jinzhao Xiao, Wendi He, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang. REGER: Reordering Time Series Data for Regression Encoding. IEEE International Conference on Data Engineering (ICDE). 2024.
  33. Xiaoou Ding, Yida Liu, Hongzhi Wang, Chen Wang, Yichen Song, Donghua Yang, Jianmin Wang. Efficient Relaxed Functional Dependency Discovery with Minimal Set Cover. ICDE. 2024.
  34. Xiaoou Ding, Yingze Li, Hongzhi Wang, Chen Wang, Yida Li, Jianmin Wang. TSDDISCOVER: Discovery Data Dependency for Time Series Data. ICDE. 2024.
  35. Xiaoou Ding, Genglong Li, Hongzhi Wang, Chen Wang, Yichen Song. Time Series Data Cleaning under Expressive Constraints on both Rows and Columns. ICDE. 2024.
  36. Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long, Jianmin Wang. BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization. ACM Knowledge Discovery and Data Mining (KDD). 2024.
  37. Yunxiang Su, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang. Distance-Based Outlier Query Optimization in Apache IoTDB. Proceedings of the VLDB Endowment (PVLDB). 2024.
  38. Chenguang Fang, Zijie Chen, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang. On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB. Proceedings of the VLDB Endowment (PVLDB). 2024.
  39. Xin Zhao, Jialin Qiao, Xiangdong Huang, Chen Wang, Shaoxu Song, Jianmin Wang. Apache TsFile: An IoT-native Time Series File Format. Proceedings of the VLDB Endowment (PVLDB). 2024.
  40. Chao Yang, Qiang Liu, Chen Wang, Jinliang Ding, Yiu-ming Cheung. Self-Tuning Transfer Dynamic Convolution Autoencoder for Quality Prediction of Multimode Processes With Shifts. IEEE Transactions on Industrial Informatics (TII). 2024.
  41. Xiaofeng Yuan, Yichen Wang, Chen Wang, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen. Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. IEEE Transactions on Instrumentation and Measurement (TIM). 2024.
  42. Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang. On Tuning Raft for IoT Workload in Apache IoTDB. IEEE International Conference on Data Engineering (ICDE). 2024.
  43. 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. ACM Knowledge Discovery and Data Mining (KDD). 2023.
  44. Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang, Ruibo Li, Jincheng Sun. Non-Blocking Raft for High Throughput IoT Data. ICDE. 2023.
  45. Xiaojian Zhang, Hongyin Zhang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang. Backward-Sort for Time Series in Apache IoTDB. ICDE. 2023.
  46. Yuanhui Qiu, Chenguang Fang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang. TsQuality: Measuring Time Series Data Quality in Apache IoTDB. VLDB. 2023.
  47. Chen Wang, Jialin Qiao, Xiangdong Huang, Shaoxu Song, Haonan Hou, Tian Jiang, Lei Rui, Jianmin Wang, Jiaguang Sun. Apache IoTDB: A Time Series Database for IoT Applications. SIGMOD. 2023.
  48. Chenguang Fang, Shaoxu Song, Haoquan Guan, Xiangdong Huang, Chen Wang, Jianmin Wang. Grouping Time Series for Efficient Columnar Storage. SIGMOD. 2023.
  49. 丁小欧, 李映泽, 王晨, 王宏志, 李昊轩. 兼顾行列的时序数据质量规则发现技术研究. 软件学报. 2023.
  50. P. Chen, W. He, W. Ma, Xiangdong Huang, Chen Wang. IoTDQ: An Industrial IoT Data Analysis Library for Apache IoTDB. Big Data Mining and Analytics. 2023.
  51. Bin Guo, Jiaqi Liu, Sicong Liu, Jiayao Wang, Mengyuan Li, Chen Wang, Zhiwen Yu. CrowdIM: Crowd-Inspired Intelligent Manufacturing Space Design. IEEE Internet of Things Journal (IOT). 2022
  52. J. Liu, B. Guo, L. Ren, Chen Wang, L. Zhang, Z. Yu. 群智融合的制造业智慧空间建模方法. Computer Integrated Manufacturing Systems. 2022.
  53. Keke Huang, Zui Tao, Chen Wang, Tianxu Guo, Chunhua Yang, Weihua Gui. Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning. IEEE Transactions on Industrial Informatics (TII). 2022.
  54. Zhongyi Pei, Lin Liu, Chen Wang, Jianmin Wang: Requirements Engineering for Machine Learning: A Review and Reflection. IEEE 30th International Requirements Engineering Conference Workshops (REW). 2022.
  55. 邵珠峰, 赵云, 王晨, 冯希光, 王建民, 熊虹婷. 新时期我国工业软件产业发展路径研究. 中国工程科学. 2022.
  56. 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
  57. Yuyuan Kang, Xiangdong Huang, Shaoxu Song, Lingzhe Zhang, Jialin Qiao, Chen Wang, Jianmin Wang, Julian Feinauer. Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree. ICDE. 2022.
  58. Shuye Pan, Peng Wang, Chen Wang, Wei Wang, Jianmin Wang: NLC: Search Correlated Window Pairs on Long Time Series. PVLDB. 2022.
  59. Keke Huang, Yiming Wu, Chen Wang, Yongfang Xie, Chunhua Yang, Weihua Gui. A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications. TII. 2021.
  60. Yi Lu, Peng Wang, Bo Tang, Shen Liang, Chen Wang, Wei Wang, Jianmin Wang. GRAB: Finding Time Series Natural Structures via A Novel Graph-based Scheme. ICDE. 2021.
  61. Rong Kang, W. Wu, Chen Wang, C. Zhang, Jianmin Wang. The Case for ML-Enhanced High-Dimensional Indexes. International Workshop on Applied AI for Database Systems and Applications. 2021.
  62. Jia Zou, M. Zhao, Juwei Shi, Chen Wang. Watson: A Workflow-Based Data Storage Optimizer for Analytics. International Conference on Massive Storage Systems and Technology (MSST). 2021.
  63. Chen Wang, Xiangdong Huang, Jialin Qiao, Tian Jiang, Lei Rui, Jinrui Zhang, Rong Kang, Julian Feinauer, Kevin Mcgrail, Peng Wang, Diaohan Luo, Jun Yuan, Jianmin Wang, Jiaguang Sun. Apache IoTDB: Time-series database for Internet of Things. PVLDB. 2020.
  64. Yu Sun, Shaoxu Song, Chen Wang, Jianmin Wang. Swapping Repair for Misplaced Attribute Values. ICDE. 2020.
  65. Xi Wang, Chen Wang: Time Series Data Cleaning: A Survey. IEEE Access. 2020.
  66. Shaoxu Song, Chen Wang. Incentivizing Catastrophe Risk Sharing. IISE Transactions. 2020.
  67. 王晨, 宋亮. 工业互联网数据安全防护体系探析. 信息通信技术与政策. 2020.
  68. 滕飞, 黄齐川, 李天瑞, 王晨, 田春华. 大规模时间序列分析框架的研究与实现. 计算机学报. 2020.
  69. 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.
  70. Rong Kang, Chen Wang, Peng Wang, Yuting Ding, Jianmin Wang. Matching Consecutive Subpatterns over Streaming Time Series. Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data (APWeb/WAIM). 2018.
  71. 王晨，宋亮，王建民，郭斌. 智能制造中的群体智能. 中国计算机学会通讯. 2018.
  72. 王建民,王晨,刘英博.大数据系统软件创新平台与生态建设. 大数据. 2018.
  73. 王晨,宋亮,李少昆.工业互联网平台:发展趋势与挑战.中国工程科学. 2018.
  74. 王晨,郭朝晖,王建民.工业大数据及其技术挑战. 电信网技术. 2017.
  75. Xiangdong Huang, Jianmin Wang, Raymond K. Wong, Jinrui Zhang, Chen Wang. PISA: An Index for Aggregating Big Time Series Data. ACM International Conference on Information and Knowledge Management (CIKM). 2016.
  76. Lanjun Wang, Shuo Zhang, Juwei Shi, Limei Jiao, Oktie Hassanzadeh, Jia Zou, Chen Wang. Schema management for document stores. PVLDB. 2015.
  77. Juwei Shi, Yunjie Qiu, Umar Farooq Minhas, Limei Jiao, Chen Wang, Berthold Reinwald, Fatma Özcan. Clash of the titans: MapReduce vs. Spark for large scale data analytics. PVLDB. 2015.
  78. L. Shi, Chen Wang, Z. Wen, H. Qu, C. Lin. Q. Liao. 1.5D Egocentric Dynamic Network Visualization. IEEE Transactions on Visualization and Computer Graphics (TVCG). 2015.
  79. J. Zou, J. Shi, T. Liu, Z. Cao, Chen Wang. Foreseer: Workload-Aware Data Storage for MapReduce. IEEE 35th International Conference on Distributed Computing Systems (ICDCS). 2015.
  80. Xiaomin Xu, Sheng Huang, Yaoliang Chen, Chen Wang, Inge Halilovic, Kevin Brown, Mark Ashworth. A Demonstration of SearchonTS: An Efficient Pattern Search Framework for Time Series Data. CIKM. 2014.
  81. Sheng Huang, Yaoliang Chen, Xiaoyan Chen, Kai Liu, Xiaomin Xu, Chen Wang, Kevin Brown, Inge Halilovic. The next generation operational data historian for IoT based on informix. SIGMOD. 2014.
  82. Juwei Shi, Jia Zou, Jiaheng Lu, Zhao Cao, Shiqiang Li, Chen Wang. MRTuner: a toolkit to enable holistic optimization for mapreduce jobs. PVLDB. 2014.
  83. Q. Liao, L. Shi, Chen Wang. Visual analysis of large-scale network anomalies. IBM Journal of Research and Development. 2013.
  84. Shuguang Xiong, Lei Yu, Haiying Shen, Chen Wang, Wei Lu. Efficient algorithms for sensor deployment and routing in sensor networks for network-structured environment monitoring. Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). 2012.
  85. Jiaheng Lu, Tok Wang Ling, Zhifeng Bao, Chen Wang. Extended XML Tree Pattern Matching: Theories and Algorithms. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2011.
  86. Lei Shi, Chen Wang, Zhen Wen. Dynamic network visualization in 1.5D. IEEE Pacific Visualization Symposium (PacificVis). 2011.
  87. Zhiyu Liu, Chen Wang, Qiong Zou, Huayong Wang. Clustering Coefficient Queries on Massive Dynamic Social Networks. International Conference on Web Age Information Management (WAIM). 2010.
  88. C. Zhu, Chen Wang, J. Qi. An Experimental Study of Consumption Behaviors in Telecom Social Networks. IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI). 2010.
  89. Chen Wang, Yibo Zhang, Xiaoyan Chen, Zhiyu Liu, Lei Shi, Guang Chen, Fenghua Qiu, Chun Ying, Wei Lu. A behavior-based SMS antispam system. IBM Journal of Research and Development. 2010.
  90. Y. Wu, J. Qi, Chen Wang. The Study on Feature Selection in Customer Churn Prediction Modeling. IEEE International Conference on Systems, Man and Cybernetics (SMC). 2009.
  91. C. Zhu, J. Qi, Chen Wang. An Experimental Study on Four Models of Customer Churn Prediction. IEEE International Conference on Systems, Man and Cybernetics (SMC). 2009.
  92. R. Liu, J. Ma, J. Qi, B. Wu, Chen Wang. A Customer Network Value Model Based on Complex Network Theory. IEEE International Conference on Systems, Man and Cybernetics (SMC). 2009.
  93. Chen Wang, Qiming Tian, Xiaoyan Chen, Chun Ying. Service Differentiation for Business Process by Value Based Service Scheduling. IEEE International Conference on Web Services (ICWS). 2008.
  94. Yi Ge, Chen Wang, Xiaowei Shen, Honesty Young. A database scale-out solution for emerging write-intensive commercial workloads. ACM SIGOPS Operating Systems Review (SIGOPS). 2008.
  95. Chen Wang, Yan Qiu Chen. Improving Nearest Neighbor Classification with Simulated Gravitational Collapse. International Conference on Natural Computation. 2005.