Faculty

Telephone:021-34208230
Email:wuct@sjtu.edu.cn
Address:上海市闵行区东川路800号电信群楼3号楼513
Institute:Institute of Intelligent Software and Systems
MainPage:/~wuct
Brief Introduction
Chentao Wu is a tenured professor and doctoral supervisor at the School of Computer Science, Shanghai Jiao Tong University, deputy director of the Institute of Intelligent Software and Systems, and deputy director of the National Key Laboratory of Digital Finance (under preparation). He is a national-level young talent, chief scientist of the National Key R&D Program, and holds dual doctorates from Huazhong University of Science and Technology and Virginia Commonwealth University, USA. He is a standing member and deputy secretary-general of the CCF Architecture Committee, and director of the Storage Committee of the Shanghai Computer Society. His research focuses mainly on data storage, including parallel and distributed storage, cloud storage, blockchain storage, and intelligent storage. He has led more than 20 projects, including the National Key R&D Program, key projects of the National Natural Science Foundation, and the Shanghai Natural Science Foundation, and has published over 150 papers in journals and conferences such as IEEE TC, IEEE TPDS, IEEE TDSC, IEEE TMC, OSDI, FAST, MICRO, ATC, HPCA, and DAC. His research has received one national award, two provincial and ministerial awards, four society-level awards, and multiple best paper awards.
Education
2010-2012 Virginia Commonwealth University, USA, Ph.D. degree on Electrical & Computer Engineering
2007-2010 Huazhong University of Science and Technology, Ph.D. degree on Computer Architecture
2004-2006 Huazhong University of Science and Technology, Master degree on Software Engineering
2000-2004 Huazhong University of Science and Technology, Bachelor degree on Computer Science
Professional Experience
2019-present Professor/Tenured Professor, Department of Computer Science/School of Computer Science, Shanghai Jiao Tong University
2014-2019 Associate Research Professor, Department of Computer Science, Shanghai Jiao Tong University
2013-2014 Assistant Research Professor, Department of Computer Science, Shanghai Jiao Tong University
2011-2013 Postdoctoral Fellow, Department of Electronics, Huazhong University of Science and Technology
Teaching Assignment
CS2310 Modern Operating Systems
CS2303 Operating Systems Course Design
MEM8301 Big Data and Internet Thinking
Publications
[TMC'25] Xinyu Lu, Jiong Lou, Jie Li, Runhui Xu, Chentao Wu, Zhi Liu, Yuan Luo, Yang Yang. Towards Bi-level Supply/Demand Balanced Charging Systems via Online Power Scheduling. IEEE Transactions on Mobile Computing (TMC), 24(9): 8405-8422, 2025.
[TDSC'25] Honghong Zeng, Jiong Lou, Kailai Li, Chentao Wu, Guangtao Xue, Yuan Luo, Fan Cheng, Wei Zhao, Jie Li. ESFL: Accelerating Poisonous Model Detection in Privacy-Preserving Federated Learning. IEEE Transactions on Dependable and Secure Computing (TDSC), 22(4): 3780-3794, 2025.
[TDSC'25] Bowen Li, Hanlin Gu, Ruoxin Chen, Jie Li, Chentao Wu, Na Ruan, Xueming Si, Lixin Fan. Temporal Gradient Inversion Attacks with Robust Optimization. IEEE Transactions on Dependable and Secure Computing (TDSC), 22(4): 3383-3397, 2025.
[TC'25] Shijing Yuan, Beiyu Dong, Jie Li, Song Guo, Hongyang Chen, Chentao Wu, Jie Wu, Wei Zhao. Adaptive Incentivize for Federated Learning with Cloud-Edge Collaboration under Multi-level Information Sharing. IEEE Transactions on Computers (TC), 74(7): 2445-2460, 2025.
[TMC'25] Shijing Yuan, Qingshi Zhou, Jie Li, Song Guo, Hongyang Chen, Chentao Wu, Yang Yang. Adaptive Incentive and Resource Allocation for Blockchain-Supported Edge Video Streaming Systems: A Cooperative Learning Approach. IEEE Transactions on Mobile Computing (TMC), 24(2): 539-556, 2025.
[TC'24] Honghong Zeng, Jie Li, Jiong Lou, Shijing Yuan, Chentao Wu, Wei Zhao, and Sijin Wu. BSR-FL: An Efficient Byzantine-Robust Privacy-Preserving Federated Learning Framework. IEEE Transactions on Computers (TC), 73(8):2096-2110, 2024.
[TC'24] Yunfei Gu, Linhui Liu, Chentao Wu, Jie Li, and Minyi Guo. Ada-WL: An Adaptive Wear Leveling Aware Data Migration Approach for Flexible SSD Array Scaling in Clusters. IEEE Transactions on Computers (TC), 73(8):1967-1982, 2024.
[VLDB'26] Chi Zhang, Shihao Zhang, Yunfei Gu, Chentao Wu, Jie Li, Qin Zhang, Xusheng Chen, Jie Meng. FlatStor: An Efficient Embedded-Index Based Columnar Data Layout for Multimodal Data Workloads. In: Proceedings of the 52nd International Conference on Very Large Data Bases (VLDB 2026), August 31-September 2, 2026, Boston, USA.
[IJCAI'25] Kalai Li, Jiawei Sun, Jiong Lou, Zhanbo Feng, Hefeng Zhou, Chentao Wu, Guangtao Xue, Wei Zhao, and Jie Li. Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels. In: Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), August 16-22, 2025, Montreal, Canada.
[OSDI'25] Yanqi Pan, Wen Xia, Yifeng Zhang, Xiangyu Zou, Hao Huang, Zhenhua Li, and Chentao Wu. Fast and Synchronous Crash Consistency with Metadata Write-Once File Systems. In: Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2025), July 7-9, 2025, Boston, USA.
[ICDE'25] Yuxin Liu, Yuezhang Peng, Xinyu Lu, Hefeng Zhou, Hongze Liu, Jiong Lou, Chentao Wu, Wei Zhao, Jie Li. LOVO: Efficient Complex Object Query in Large-Scale Video Datasets. In: Proceedings of the 41st IEEE International Conference on Data Engineering (ICDE 2025), May 19-23, 2025, Hong Kong, China.
[DAC'25] Yixuan Liu, Yunfei Gu, Junhao Dai, Xinyuan Wu, Chentao Wu, Xinfei Guo, Jieru Zhao, Jie Li, and Minyi Guo. CXL-ECC: an Efficient LRC-based on-CXL-Memory-eXpander-Controller ECC to Enhance Reliability and Performance of DRAM Error Correction. In: Proceedings of the 62nd Design Automation Conference (DAC 2025), June 22-25, 2025, San Francisco, USA.
[DAC'25] Yunfei Gu, Yixuan Liu, Xinyuan Wu, Bo Shao, Chentao Wu, Shiyi Li, Jieru Zhao, Jie Li, Minyi Guo, Kunlin Yang, Wengui Zhang, and Feilong Lin. MemSeer: Leveraging Memory Failure Distinctions and Multi-Grained Prediction in Ultra-Scale Heterogeneous X86/ARM Clusters. In: Proceedings of the 62nd Design Automation Conference (DAC 2025), June 22-25, 2025, San Francisco, USA.
[DAC'25] Chenqi Zhang, Yu Feng, Jieru Zhao, Guangda Liu, Wenchao Ding, Chentao Wu, and Minyi Guo. StreamingGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support. In: Proceedings of the 62nd Design Automation Conference (DAC 2025), June 22-25, 2025, San Francisco, USA.
[HPCA'25] Zixiao Chen, Chentao Wu, Yunfei Gu, Ranhao Jia, Jie Li and Minyi Guo. Gaze into the Pattern: Characterizing Spatial Patterns with Internal Temporal Correlations for Hardware Prefetching. In: Proceedings of the 31st IEEE International Symposium on High-Performance Computer Architecture (HPCA 2025), March 1-5, 2025, Las Vegas, USA.
[ATC'24] Yunfei Gu, Chentao Wu, and Xubin He. Exploit both SMART Attributes and NAND Flash Wear Characteristics to Effectively Forecast SSD-based Storage Failures in Clusters. In: Proceedings of the 2024 USENIX Annual Technical Conference (ATC 2024), July 10-12, 2024, Santa Clara, USA