冷静文 教授

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Office Address: 软件学院1号楼410

Email: leng-jw@cs.sjtu.edu.cn

Lab: 新兴并行计算研究中心

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Ph.D., The University of Texas at Austin, 2012.12 - 2016.12
M.S., The University of Texas at Austin, 2010.8 - 2012.12
B.S., Shanghai Jiao Tong University, 2006.9 - 2010.7

Research Intern, IBM T. J.Watson Research Center, U.S., 2015.3-2016.12

Research Intern, SRI International, U.S., 2013.6-2013.8

Summer Intern, Samsung Austin R&D Center, U.S., 2011.6-2011.8




* Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu, ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization, 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), CCF-A
* Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo, Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training, The 40th IEEE International Conference on Computer Design (ICCD), CCF-B
* Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo, SQuant: On-the-fly Data-free Quantization via Diagonal Hessian Approximation, International Conference on Learning Representations (ICLR), CCF未评级
* Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo, Transkimmer: Transformer Learns to Layer-wise Skim, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), CCF A 
* Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo. VELTAIR: Towards High-Performance Multi-Tenant Deep Learning Services via Adaptive Compilation and Scheduling, in Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022
* Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo, Yuhao Zhu, Block-Skim: Efficient Question Answering for Transformer, in AAAI Conference on Artificial Intelligence (AAAI), 2022
* An Zou, Huifeng Zhu, Jingwen Leng, Xin He, Vijay Janapa Reddi, Christopher D Gill, Xuan Zhang, System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System, ACM Transactions on Architecture and Code Optimization (TACO), 2021
* Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu, Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators, in 2021 IEEE International Symposium on Workload Characterization (IISWC), 2021
* Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu, Ptolemy: Architecture Support for Robust Deep Learning, in International Symposium on Microarchitecture (MICRO), 2020 [CCF-A]
* Zihan Liu, Jingwen Leng, Guandong Lu, Chenhui Wang, Quan Chen, Minyi Guo, Survey and Design of Paleozoic: A High-performance Compiler Tool Chain for Deep Learning Inference Accelerator, CCF Transaction on High Performance Computing, 2020
* Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, and Yuhao Zhu, Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity, In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020 [CCF-A]
* Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, and Vijay Janapa Reddi, Predictive Guardbanding: Program-driven Timing Margin Reduction for GPUs, in IEEE Transactions On Computer-aided Design Of Integrated Circuits And Systems (TCAD), 2020.
* Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Kai Yu, Deze Zeng, Chao Li, Minyi Guo, CODA: Improving Resource Utilization by Slimming and Co-locating DNN and CPU Jobs, In Proceedings of International Conference on Distributed Computing Systems (ICDCS), 2020.
* Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo, Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration, in Proceedings of the Annual Design Automation Conference (DAC), 2020
* Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Quan Chen, Minyi Guo, Vijay Janapa Reddi, Asymmetric Resilience: A System Architecture for Transient Error Recovery in Accelerator-Rich Processors, in International Symposium on High Performance Computer Architecture (HPCA), 2020.  [CCF-A]
* An Zou, Jingwen Leng, Xin He, Yazhou Zu, Vijay Janapa Reddi, Xuan Zhang, Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management, in the IEEE Transactions On Computer-aided Design Of Integrated Circuits And Systems (TCAD), 2020.   [CCF-A]
* Jin Li, Quan Chen, Jingwen Leng, Weinan Zhang, Minyi Guo, Probabilistic Robust Regression With Adaptive Weights—a Case Study On Face Recognition, in Frontiers of Computer Science, 2019
* Yuxian Qiu, Jingwen Leng, Chao Li, Quan Chen, Yuhao Zhu, Minyi Guo, “Adversarial Defense Through Network Profiling Based Path Extraction,” in Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), 2019. 
* An Zou, Jingwen Leng, Xin He, Yazhou Zu, Vijay Janapa Reddi, Christopher D. Gill, Xuan Zhang, “Voltage-stacked GPUs: A Control Theory Driven Cross-Layer Solution for Practical Voltage Stacking in GPUs,”  in International Symposium on Microarchitecture (MICRO), Oct. 2018   [CCF-A]



 IEEE Micro Top Picks from Computer Architecture Conferences in 2022 (Honorable Mention)




ASPLOS’24&23 Program Committee 

ISCA’23 Program Committee 

MICRO’22 Program Committee 

SC’21 Program Committee 


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