Lei Liu - RankMe

44 papers A* 1A 3B 6C 3Misc 1Journal 21Unranked 9

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