Lei Liu

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 33

Top Topics

Graphics Processing Units

Efficient Inference

Foreground Segmentation

Top Venues

J. Comput. Sci. Technol.

Int. J. Parallel Program.

Publications

Guangli Li, Xiu Ma, Xueying Wang, Hengshan Yue, Jiansong Li, Lei Liu, Xiaobing Feng, Jingling Xue
Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning. J. Syst. Archit. 124 (2022)
Zihan Jiang, Jiansong Li, Fangxin Liu, Wanling Gao, Lei Wang, Chuanxin Lan, Fei Tang, Lei Liu, Tao Li
A systematic study on benchmarking AI inference accelerators. CCF Trans. High Perform. Comput. 4 (2) (2022)
Jiansong Li, Xueying Wang, Xiaobing Chen, Guangli Li, Xiao Dong, Peng Zhao, Xianzhi Yu, Yongxin Yang, Wei Cao, Lei Liu, Xiaobing Feng
An Application-oblivious Memory Scheduling System for DNN Accelerators. ACM Trans. Archit. Code Optim. 19 (4) (2022)
Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng
Pinpointing the Memory Behaviors of DNN Training. ISPASS (2021)
Jiansong Li, Wei Cao, Xiao Dong, Guangli Li, Xueying Wang, Peng Zhao, Lei Liu, Xiaobing Feng
Compiler-assisted Operator Template Library for DNN Accelerators. Int. J. Parallel Program. 49 (5) (2021)
Guangli Li, Jingling Xue, Lei Liu, Xueying Wang, Xiu Ma, Xiao Dong, Jiansong Li, Xiaobing Feng
Unleashing the Low-Precision Computation Potential of Tensor Cores on GPUs. CGO (2021)
Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng
Pinpointing the Memory Behaviors of DNN Training. CoRR (2021)
Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units. CoRR (2020)
Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu, Xiaobing Feng
Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs. Euro-Par (2020)
Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu, Xiaobing Feng
Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs. CoRR (2020)
Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng
Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units. ICASSP (2020)
Jiansong Li, Zihan Jiang, Fangxin Liu, Xiao Dong, Guangli Li, Xueying Wang, Wei Cao, Lei Liu, Yanzhi Wang, Tao Li, Xiaobing Feng
Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators. ISPA/BDCloud/SocialCom/SustainCom (2020)
Guangli Li, Lei Liu, Tongbo Zhang, Hang Yu, Yue Xu, Shuai Lü
Visual field movement detection model based on low-resolution images. Int. J. Embed. Syst. 12 (1) (2020)
Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices. CoRR (2020)
Jiansong Li, Wei Cao, Xiao Dong, Guangli Li, Xueying Wang, Lei Liu, Xiaobing Feng
Compiler-Assisted Operator Template Library for DNN Accelerators. NPC (2020)
Xiao Dong, Lei Liu, Guangli Li, Jiansong Li, Peng Zhao, Xueying Wang, Xiaobing Feng
Exploiting the input sparsity to accelerate deep neural networks: poster. PPoPP (2019)
Peng Zhao, Lei Liu, Wei Cao, Xiao Dong, Jiansong Li, Xiaobing Feng
ElasticActor: An Actor System with Automatic Granularity Adjustment. Int. J. Parallel Program. 47 (3) (2019)
Xiao Dong, Lei Liu, Peng Zhao, Guangli Li, Jiansong Li, Xueying Wang, Xiaobing Feng
Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity. PACT (2019)
Peng Zhao, Chen Ding, Lei Liu, Jiping Yu, Wentao Han, Xiaobing Feng
Cacheap: Portable and Collaborative I/O Optimization for Graph Processing. J. Comput. Sci. Technol. 34 (3) (2019)
Guangli Li, Lei Liu, Xiaobing Feng
Accelerating GPU Computing at Runtime with Binary Optimization. CGO (2019)
Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng
Background subtraction on depth videos with convolutional neural networks. CoRR (2019)
Guangli Li, Xueying Wang, Xiu Ma, Lei Liu, Xiaobing Feng
XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips. Bench (2019)
Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge. CoRR (2018)
Xiao Dong, Lei Liu, Guangli Li, Peng Zhao, Xiaobing Feng
Fast CNN Pruning via Redundancy-Aware Training. ICANN (1) (2018)
Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge. ICANN (1) (2018)
Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng
Background Subtraction on Depth Videos with Convolutional Neural Networks. IJCNN (2018)
Mengyao Xie, Lei Liu, Hao Yang, Chenggang Wu, Hongna Geng
SysMon: Monitoring Memory Behaviors via OS Approach. APPT (2017)
Lei Liu, Yang Yang, Guangli Li, Qi Wang, Shuai Lü
Redundancy checking algorithms based on parallel novel extension rule. J. Exp. Theor. Artif. Intell. 29 (3) (2017)
Jing Li, Lei Liu, Yuan Wu, Xiaobing Feng, Chengyong Wu
Two-Level Task Scheduling for Irregular Applications on GPU Platform. Int. J. Parallel Program. 45 (1) (2017)
Jing Li, Lei Liu, Yuan Wu, Xiang-Hua Liu, Yi Gao, Xiaobing Feng, Chengyong Wu
Pragma Directed Shared Memory Centric Optimizations on GPUs. J. Comput. Sci. Technol. 31 (2) (2016)
Lei Liu, Hao Yang, Yong Li, Mengyao Xie, Lian Li, Chenggang Wu
Memos: A full hierarchy hybrid memory management framework. ICCD (2016)
Lei Liu, Yong Li, Chen Ding, Hao Yang, Chengyong Wu
Rethinking Memory Management in Modern Operating System: Horizontal, Vertical or Random? IEEE Trans. Computers 65 (6) (2016)
Fang Lv, Lei Liu, Huimin Cui, Lei Wang, Ying Liu, Xiaobing Feng, Pen-Chung Yew
WiseThrottling: a new asynchronous task scheduler for mitigating I/O bottleneck in large-scale datacenter servers. J. Supercomput. 71 (8) (2015)
Lei Liu, Yong Li, Zehan Cui, Yungang Bao, Mingyu Chen, Chengyong Wu
Going vertical in memory management: Handling multiplicity by multi-policy. ISCA (2014)
Fang Lu, Huimin Cui, Lei Wang, Lei Liu, Chenggang Wu, Xiaobing Feng, Pen-Chung Yew
Dynamic I/O-Aware Scheduling for Batch-Mode Applications on Chip Multiprocessor Systems of Cluster Platforms. J. Comput. Sci. Technol. 29 (1) (2014)
Lei Liu, Zehan Cui, Yong Li, Yungang Bao, Mingyu Chen, Chengyong Wu
BPM/BPM+: Software-based dynamic memory partitioning mechanisms for mitigating DRAM bank-/channel-level interferences in multicore systems. ACM Trans. Archit. Code Optim. 11 (1) (2014)
Chen Ding, Lei Liu
Access Annotation for Safe Program Parallelization. NPC (2013)
Lei Liu, Zehan Cui, Mingjie Xing, Yungang Bao, Mingyu Chen, Chengyong Wu
A software memory partition approach for eliminating bank-level interference in multicore systems. PACT (2012)
Chuanle Ke, Lei Liu, Chao Zhang, Tongxin Bai, Bryan Jacobs, Chen Ding
Safe parallel programming using dynamic dependence hints. OOPSLA (2011)
Li Chen, Lei Liu, Shenglin Tang, Lei Huang, Zheng Jing, Shixiong Xu, Dingfei Zhang, Baojiang Shou
Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation. LCPC (2010)
Lei Liu, Dingfei Zhang, Hengjie Li, Li Chen
Automatic Implementation of Multi-partitioning Using Global Tiling. ICPADS (2008)
Lei Liu, Li Chen, Chengyong Wu, Xiaobing Feng
Global Tiling for Communication Minimal Parallelization on Distributed Memory Systems. Euro-Par (2008)