Jingwen Leng

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 108

Top Venues

Publications

Xiaofeng Hou, Tongqiao Xu, Chao Li, Cheng Xu, Jiacheng Liu, Yang Hu, Jieru Zhao, Jingwen Leng, Kwang-Ting Cheng, Minyi Guo
A Tale of Two Domains: Exploring Efficient Architecture Design for Truly Autonomous Things. ISCA (2024)
Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo
Accelerating Sparse DNNs Based on Tiled GEMM. CoRR (2024)
Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo
Accelerating Sparse DNNs Based on Tiled GEMM. IEEE Trans. Computers 73 (5) (2024)
Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. ASPLOS (2) (2024)
Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang
MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN. ASPLOS (3) (2024)
Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. ASPLOS (2) (2024)
Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. CoRR (2024)
Ziwei He, Jian Yuan, Le Zhou, Jingwen Leng, Bo Jiang
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-To-Coarse Attention. ICASSP (2024)
Jiale Xu, Rui Zhang, Cong Guo, Weiming Hu, Zihan Liu, Feiyang Wu, Yu Feng, Shixuan Sun, Changxu Shao, Yuhong Guo, Junping Zhao, Ke Zhang, Minyi Guo, Jingwen Leng
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR (2024)
Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. ISCA (2024)
Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) (2024)
Han Zhao, Weihao Cui, Quan Chen, Shulai Zhang, Zijun Li, Jingwen Leng, Chao Li, Deze Zeng, Minyi Guo
Towards Fast Setup and High Throughput of GPU Serverless Computing. CoRR (2024)
Yue Guan, Changming Yu, Yangjie Zhou, Jingwen Leng, Chao Li, Minyi Guo
Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning. ASPLOS (3) (2024)
Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. CoRR (2024)
Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CoRR (2023)
Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA (2023)
Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. CoRR (2023)
Xiaoxiang Shi, Chao Li, Zijun Li, Zihan Liu, Dianmo Sheng, Quan Chen, Jingwen Leng, Minyi Guo
DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service. CoRR (2023)
Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang
Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion. HPCA (2023)
Yangjie Zhou, Jingwen Leng, Yaoxu Song, Shuwen Lu, Mian Wang, Chao Li, Minyi Guo, Wenting Shen, Yong Li, Wei Lin, Xiangwen Liu, Hanqing Wu
uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks. ASPLOS (2) (2023)
Shuwen Lu, Zhihui Zhang, Cong Guo, Jingwen Leng, Yangjie Zhou, Minyi Guo
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design. CoRR (2023)
Ziwei He, Jian Yuan, Le Zhou, Jingwen Leng, Bo Jiang
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse Attention. CoRR (2023)
Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CF (2023)
Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. ACL (Findings) (2023)
Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. CoRR (2023)
Xinkai Wang, Hao He, Yuancheng Li, Chao Li, Xiaofeng Hou, Jing Wang, Quan Chen, Jingwen Leng, Minyi Guo, Leibo Wang
Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture. SoCC (2023)
Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Deze Zeng, Minyi Guo
Improving Cluster Utilization Through Adaptive Resource Management for Deep Neural Network and CPU Jobs Colocation. IEEE Trans. Computers 72 (12) (2023)
Lu Zhang, Chao Li, Xinkai Wang, Weiqi Feng, Zheng Yu, Quan Chen, Jingwen Leng, Minyi Guo, Pu Yang, Shang Yue
FIRST: Exploiting the Multi-Dimensional Attributes of Functions for Power-Aware Serverless Computing. IPDPS (2023)
Guandong Lu, Runzhe Chen, Yakai Wang, Yangjie Zhou, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Li Li, Jingwen Leng, Minyi Guo
DistSim: A performance model of large-scale hybrid distributed DNN training. CoRR (2023)
Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu
ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators. CoRR (2023)
Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo
PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization. ICS (2023)
Guandong Lu, Runzhe Chen, Yakai Wang, Yangjie Zhou, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Li Li, Jingwen Leng, Minyi Guo
DistSim: A performance model of large-scale hybrid distributed DNN training. CF (2023)
Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. CoRR (2023)
Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu
ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators. ISCA (2023)
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. ICCD (2022)
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. CoRR (2022)
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. CoRR (2022)
Shulai Zhang, Weihao Cui, Quan Chen, Zhengnian Zhang, Yue Guan, Jingwen Leng, Chao Li, Minyi Guo
PAME: precision-aware multi-exit DNN serving for reducing latencies of batched inferences. ICS (2022)
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. CoRR (2022)
Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo
Block-Skim: Efficient Question Answering for Transformer. AAAI (2022)
Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo
Transkimmer: Transformer Learns to Layer-wise Skim. ACL (1) (2022)
Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo
Transkimmer: Transformer Learns to Layer-wise Skim. CoRR (2022)
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. MICRO (2022)
Mustafa Tarik Sanic, Cong Guo, Jingwen Leng, Minyi Guo, Weiyin Ma
Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA. MSN (2022)
Yiming Gan, Paul N. Whatmough, Jingwen Leng, Bo Yu, Shaoshan Liu, Yuhao Zhu
Braum: Analyzing and Protecting Autonomous Machine Software Stack. ISSRE (2022)
Guan Shen, Jieru Zhao, Quan Chen, Jingwen Leng, Chao Li, Minyi Guo
SALO: an efficient spatial accelerator enabling hybrid sparse attention mechanisms for long sequences. DAC (2022)
Guan Shen, Jieru Zhao, Quan Chen, Jingwen Leng, Chao Li, Minyi Guo
SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences. CoRR (2022)
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. CoRR (2022)
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. ICLR (2022)
Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo
Astraea: towards QoS-aware and resource-efficient multi-stage GPU services. ASPLOS (2022)
Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo
Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. CoRR (2022)
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. ASPLOS (2022)
Han Zhao, Weihao Cui, Quan Chen, Youtao Zhang, Yanchao Lu, Chao Li, Jingwen Leng, Minyi Guo
Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS. HPCA (2022)
Liancheng Jia, Yuyue Wang, Jingwen Leng, Yun Liang
EMS: efficient memory subsystem synthesis for spatial accelerators. DAC (2022)
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. IISWC (2021)
Pengyu Wang, Chao Li, Jing Wang, Taolei Wang, Lu Zhang, Jingwen Leng, Quan Chen, Minyi Guo
Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs. PACT (2021)
Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi
Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (1) (2021)
Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection. CoRR (2021)
Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
Dual-side Sparse Tensor Core. ISCA (2021)
Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi
Erratum to "Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs". IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (6) (2021)
Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection. ICPP (2021)
Zhihui Zhang, Jingwen Leng, Shuwen Lu, Youshan Miao, Yijia Diao, Minyi Guo, Chao Li, Yuhao Zhu
ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration. CoRR (2021)
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 Trans. Archit. Code Optim. 18 (4) (2021)
Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
Dual-side Sparse Tensor Core. CoRR (2021)
Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo
Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction. SC (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. CoRR (2021)
Han Zhao, Weihao Cui, Quan Chen, Jieru Zhao, Jingwen Leng, Minyi Guo
Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks. ICCD (2021)
Xiaofeng Hou, Chao Li, Jiacheng Liu, Lu Zhang, Shaolei Ren, Jingwen Leng, Quan Chen, Minyi Guo
AlphaR: Learning-Powered Resource Management for Irregular, Dynamic Microservice Graph. IPDPS (2021)
Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo, Yuhao Zhu
Block-Skim: Efficient Question Answering for Transformer. CoRR (2021)
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. DAC (2020)
Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo
How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. CoRR (2020)
Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. CoRR (2020)
Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
Accelerating sparse DNN models without hardware-support via tile-wise sparsity. SC (2020)
Jin Li, Quan Chen, Jingwen Leng, Weinan Zhang, Minyi Guo
Probabilistic robust regression with adaptive weights - a case study on face recognition. Frontiers Comput. Sci. 14 (5) (2020)
Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. ISPA/BDCloud/SocialCom/SustainCom (2020)
Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity. CoRR (2020)
Xiaoqing Cai, Jiuchen Shi, Rui Yuan, Chang Liu, Wenli Zheng, Quan Chen, Chao Li, Jingwen Leng, Minyi Guo
OVERSEE: Outsourcing Verification to Enable Resource Sharing in Edge Environment. ICPP (2020)
Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo
Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters. CoRR (2020)
Wei Zhang, Ningxin Zheng, Quan Chen, Yong Yang, Zhuo Song, Tao Ma, Jingwen Leng, Minyi Guo
URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds. ICPP (2020)
Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu
Ptolemy: Architecture Support for Robust Deep Learning. MICRO (2020)
George Papadimitriou, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Vijay Janapa Reddi, Jingwen Leng, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman
Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins. CoRR (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. ICDCS (2020)
Mengze Wei, Wenyi Zhao, Quan Chen, Hao Dai, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo
Predicting and reining in application-level slowdown on spatial multitasking GPUs. J. Parallel Distributed Comput. 141 (2020)
Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. CoRR (2020)
Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Quan Chen, Minyi Guo, Vijay Janapa Reddi
Asymmetric Resilience: Exploiting Task-Level Idempotency for Transient Error Recovery in Accelerator-Based Systems. HPCA (2020)
Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
Architectural Implications of Graph Neural Networks. CoRR (2020)
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 Trans. High Perform. Comput. 2 (4) (2020)
Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu
Ptolemy: Architecture Support for Robust Deep Learning. CoRR (2020)
An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang
Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
Architectural Implications of Graph Neural Networks. IEEE Comput. Archit. Lett. 19 (1) (2020)
Yiming Gan, Yuxian Qiu, Lele Chen, Jingwen Leng, Yuhao Zhu
Low-Latency Proactive Continuous Vision. PACT (2020)
Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo
How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. COLING (2020)
Pu Pang, Quan Chen, Deze Zeng, Chao Li, Jingwen Leng, Wenli Zheng, Minyi Guo
Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers. IPDPS (2020)
Yiming Gan, Yuxian Qiu, Jingwen Leng, Yuhao Zhu
SVSoC: Speculative Vision Systems-on-a-Chip. IEEE Comput. Archit. Lett. 18 (1) (2019)
Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
Adversarial Defense Through Network Profiling Based Path Extraction. CoRR (2019)
Quan Chen, Zhenning Wang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo
Avalon: towards QoS awareness and improved utilization through multi-resource management in datacenters. ICS (2019)
Alessandro Toschi, Mustafa Sanic, Jingwen Leng, Quan Chen, Chunlin Wang, Minyi Guo
Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System. NPC (2019)
Dimitris Gizopoulos, George Papadimitriou, Athanasios Chatzidimitriou, Vijay Janapa Reddi, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman, Jingwen Leng
Modern Hardware Margins: CPUs, GPUs, FPGAs Recent System-Level Studies. IOLTS (2019)
Wenyi Zhao, Quan Chen, Hao Lin, Jianfeng Zhang, Jingwen Leng, Chao Li, Wenli Zheng, Li Li, Minyi Guo
Themis: Predicting and Reining in Application-Level Slowdown on Spatial Multitasking GPUs. IPDPS (2019)
Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
Adversarial Defense Through Network Profiling Based Path Extraction. CVPR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jingwen Leng