My research includes Data Processing Systems, Storage Systems, System Virtualization, and Operating Systems. Currently, I am a professor of computer science at East China Normal University (ECNU). I was an associate professor in the Department of Computer Science and Engineering at Shanghai Jiao Tong University. I was also a visiting research scientist in the Department of Computer Science at Columbia University, and worked with Professor Junfeng Yang in the Software Systems Laboratory.

• High Performance Data Processing. Through leveraging GPU/SIMD/In-Memory technologies, we are working on accelerating data processing with new models and algorithms, for a variety of systems including big data systems, deep learning systems, and high performance computing systems, in order to improve the throughput and/or reduce the response latency.
• Hybrid Storage System. Emerging Non-Volatile Memory (NVM) technologies can offer performance within an order of magnitude of DRAM, and make it possible to build new storage systems with NVMs and DRAM. The light-weight storage is a feasible mechanism for leveraging the emerging memory technologies, to achieve a significant performance improvement of data processing.
• Cloud and System Security. System performance and system security are usually studied independently, and enforced security methods unavoidably introduce additional overhead, resulting in performance degradation. We study system security and efficiency at the same time, and attempt to establish effective-security methods to improve the cloud security while keeping its performance.

• Yuchen Huang, Xiaopeng Fan, Song Yan, and Chuliang Weng. Neos: A NVMe-GPUs Direct Vector Service Buffer in User Space. The 40th IEEE International Conference on Data Engineering (ICDE 2024), Utrecht, Netherlands, Full Paper, Accepted
  
• Yukun Ma, Chunlin Yu, and Chuliang Weng. Morpheus: An efficient timing-based attestation framework for safeguarding hypervisor integrity with dynamic trust. Computers & Security, 2024, Full Paper, Accepted
  
• Xiaopeng Fan, Song Yan, and Chuliang Weng. Structured Storage for Ubiquitous Operating Systems. SCIENTIA SINICA Informationis, 2024, 54(3): 461–490
  
• Xiaopeng Fan, Song Yan, Yuchen Huang, and Chuliang Weng. TEngine: A Native Distributed Table Storage Engine. The 40th IEEE International Conference on Data Engineering (ICDE 2024), Utrecht, Netherlands, Full Paper, Accepted
  
• Shangwei Wu, Yingtong Xiong, Hui Liang, and Chuliang Weng. D^2-GCN: A Graph Convolutional Network with Dynamic Disentanglement for Node Classification. Frontiers of Computer Science, 2023, Full Paper, Accepted
  
• Xiaopeng Fan, Song Yan, Yuchen Huang, and Chuliang Weng. LUNAR: A Native Table Engine for Embedded Devices. The 24th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES2023, Co-located with PLDI2023), Orlando, FL, pp. 122-133, 2023
  
• Zewen Sun, Zhifang Li, and Chuliang Weng. Co-Utilizing SIMD and Scalar to Accelerate the Data Analytics Workloads. The 39th IEEE International Conference on Data Engineering (ICDE 2023), Anaheim, CA, pp. 637-649, 2023
  
• Jialun Wang, Wenhao Pang, Chuliang Weng, and Aoying Zhou. D-Cubicle: Boosting Data Transfer Dynamically for Large-scale Analytical Queries in Single-GPU Systems. Frontiers of Computer Science, 2023, 17(4):174610. DOI: 10.1007/s11704-022-2160-z
  
• Shangwei Wu, Yingtong Xiong, and Chuliang Weng. Dynamic Depth-width Optimization for Capsule Graph Convolutional Network. Frontiers of Computer Science, 2023, 17(6):176346. DOI: 10.1007/s11704-023-2483-4
  
• Zhifang Li, Beicheng Peng, Qiuli Huang, and Chuliang Weng. Karst: Transactional Data Ingestion without Blocking on a Scalable Architecture. IEEE Transactions on Knowledge and Data Engineering, 2022, 34(5):2241-2253
  
• Jianan Gu, Yukun Ma, Beilei Zheng, and Chuliang Weng. Outlier: Enabling Effective Measurement of Hypervisor Code Integrity with Group Detection. IEEE Transactions on Dependable and Secure Computing, 2021, Regular paper, Accepted
  
• Zhifang Li, Mingcong Han, Shangwei Wu, and Chuliang Weng. ShadowVM: Accelerating Data Plane for Data Analytics with Bare Metal CPUs and GPUs [slides]. The 26th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP'21), Korea, pp. 147-160, 2021
  
• Beilei Zheng, Jianan Gu, Jialun Wang, and Chuliang Weng. CBA-Detector: A Self-Feedback Detector against Cache-Based Attacks. IEEE Transactions on Dependable and Secure Computing, 2021, Regular paper, Accepted
  
• Zeyu He, Zhifang Li, Xiaoshuang Peng, and Chuliang Weng. DS^2: Handling Data Skew in Spark SQL Using Data Stealing over High-Speed Networks. The 37th IEEE International Conference on Data Engineering (ICDE), 2021, Short paper, Accepted
  
• Zhifang Li, Beicheng Peng, and Chuliang Weng. XeFlow: Streamlining Inter-processor Pipeline Execution for the Discrete CPU-GPU Platform. IEEE Transactions on Computers, 2020, 69(6):819-831
  
• Zhuhe Fang, Beilei Zheng, and Chuliang Weng. Interleaved MultiVectorizing. The 46th International Conference on Very Large Data Bases (VLDB2020), Proceedings of the VLDB Endowment, 2019, 13(3):226-238
  
• Jiajia Chu, Yunshan Tu, Yao Zhang, and Chuliang Weng. LATTE: A Native Table Engine on NVMe Storage [slides]. The 36th IEEE International Conference on Data Engineering (ICDE), Dallas, Texas, USA, pp. 1225-1236, 2020
  
• Zhuhe Fang, Chuliang Weng, Li Wang, Huiqi Hu, and Aoying Zhou. Scheduling Resources to Multiple Pipelines of One Query in a Main Memory Database Cluster. IEEE Transactions on Knowledge and Data Engineering, [code], 2020, 32(3): 533-546
  
• Zhuhe Fang, Chuliang Weng, Li Wang, and Aoying Zhou. Parallelizing Multiple Pipelines of One Query in a Main Memory Database Cluster. The 34th IEEE International Conference on Data Engineering (ICDE), 2018, Short paper
  
• Jianguo Chen, Kenli Li, Zhuo Tang, Kashif Bilal, Shui Yu, Chuliang Weng, Keqin Li. A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment. IEEE Transactions on Parallel & Distributed Systems, 2017, 28(4): 919-933
  
• Chuliang Weng, Qian Liu, Kenli Li, Deqing Zou. CloudMon: Monitoring Virtual Machines in Clouds. IEEE Transactions on Computers, 2016, 65(12): 3787-3794
  
• Chuliang Weng, Minyi Guo, Yuan Luo, and Minglu Li. Hybrid CPU Management for Adapting to the Diversity of Virtual Machines. IEEE Transactions on Computers, 2013, 62(7): 1332-1344
  
• Jianfeng Zhan, Lei Wang, Xiaona Li, Weisong Shi, Chuliang Weng, Wenyao Zhang, Xiutao Zang. Cost-aware Cooperative Resource Provisioning for Heterogeneous Workloads in Data Centers. IEEE Transactions on Computers, 2013, 62(11): 2155-2168
  
• Chuliang Weng, Qian Liu, Lei Yu, Minglu Li. Dynamic Adaptive Scheduling for Virtual Machines. The 20th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC). San Jose, California, USA, pp. 239-250, 2011
  
• Lei Yu, Chuliang Weng, Minglu Li, and Yuan Luo. SNPdisk: An Efficient Para-virtualization Snapshot Mechanism for Virtual Disks in Private Clouds. IEEE Network, 2011, 25(4): 20-26
  

• PC Member/Reviewer: ICML2022, NeurIPS2022, AAAI2023, ICML2023, NeurIPS2023, AAAI2024, ICLR2024, ICML2024, NeurIPS2024, AAAI2025, ICLR2025.

• My Chinese Official Homepage at ECNU.