Jiansong Li

According to our database, Jiansong Li authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LiteFer: An Approach Based on MobileViT Expression Recognition.

Xincheng Yang, Zhenping Lan, Nan Wang, Jiansong Li, Yuheng Wang, Yuwei Meng

Sensors, September, 2024

Optimal quadrature for weighted function spaces on multivariate domains.

Jiansong Li, Heping Wang

CoRR, 2024

Weighted least 𝓁_p approximation on compact Riemannian manifolds.

Jiansong Li, Yun Ling, Jiaxin Geng, Heping Wang

CoRR, 2024

Optimal quadrature errors and sampling numbers for Sobolev spaces with logarithmic perturbation on spheres.

Jiaxin Geng, Yun Ling, Jiansong Li, Heping Wang

CoRR, 2024

Few-Shot Classification Study for Prototype Fusion and Completion.

Yuheng Wang, Yanguo Sun, Zhenping Lan, Nan Wang, Jiansong Li, Xincheng Yang

IEEE Access, 2024

2023

Weighted Lp Markov factors with doubling weights on the ball.

Jiansong Li, Heping Wang, Kai Wang

J. Approx. Theory, October, 2023

2022

An Application-oblivious Memory Scheduling System for DNN Accelerators.

Jiansong Li, Xueying Wang, Xiaobing Chen, Guangli Li, Xiao Dong, Peng Zhao, Xianzhi Yu, Yongxin Yang, Wei Cao, Lei Liu, Xiaobing Feng

ACM Trans. Archit. Code Optim., 2022

Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning.

Guangli Li, Xiu Ma, Xueying Wang, Hengshan Yue, Jiansong Li, Lei Liu, Xiaobing Feng, Jingling Xue

J. Syst. Archit., 2022

Optimal randomized quadrature for weighted Sobolev and Besov classes with the Jacobi weight on the ball.

Jiansong Li, Heping Wang

J. Complex., 2022

Weighted 𝓁_q approximation problems on the ball and on the sphere.

Jiansong Li, Heping Wang

CoRR, 2022

A systematic study on benchmarking AI inference accelerators.

Zihan Jiang, Jiansong Li, Fangxin Liu, Wanling Gao, Lei Wang, Chuanxin Lan, Fei Tang, Lei Liu, Tao Li

CCF Trans. High Perform. Comput., 2022

MTMG: A Framework for Generating Adversarial Examples Targeting Multiple Learning-Based Malware Detection Systems.

Lichen Jia, Yang Yang, Jiansong Li, Hao Ding, Jiajun Li, Ting Yuan, Lei Liu, Zihan Jiang

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

2021

Compiler-assisted Operator Template Library for DNN Accelerators.

Jiansong Li, Wei Cao, Xiao Dong, Guangli Li, Xueying Wang, Peng Zhao, Lei Liu, Xiaobing Feng

Int. J. Parallel Program., 2021

Pinpointing the Memory Behaviors of DNN Training.

Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Evaluation of Habitat Quality in Lanzhou Region Based on InVEST Model.

Yichuan Liu, Baorong Xu, Qingwu Hu, Jiansong Li

Proceedings of the 28th International Conference on Geoinformatics, 2021

Unleashing the Low-Precision Computation Potential of Tensor Cores on GPUs.

Guangli Li, Jingling Xue, Lei Liu, Xueying Wang, Xiu Ma, Xiao Dong, Jiansong Li, Xiaobing Feng

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

Compiler-Assisted Operator Template Library for DNN Accelerators.

Jiansong Li, Wei Cao, Xiao Dong, Guangli Li, Xueying Wang, Lei Liu, Xiaobing Feng

Proceedings of the Network and Parallel Computing, 2020

Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators.

Jiansong Li, Zihan Jiang, Fangxin Liu, Xiao Dong, Guangli Li, Xueying Wang, Wei Cao, Lei Liu, Yanzhi Wang, Tao Li, Xiaobing Feng

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs.

Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu, Xiaobing Feng

Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019

ElasticActor: An Actor System with Automatic Granularity Adjustment.

Peng Zhao, Lei Liu, Wei Cao, Xiao Dong, Jiansong Li, Xiaobing Feng

Int. J. Parallel Program., 2019

The Pitfall of Evaluating Performance on Emerging AI Accelerators.

Zihan Jiang, Jiansong Li, Jiangfeng Zhan

CoRR, 2019

Spatial-temporal correlation dimension reduction and unsteady granger driving factor in regional varied earth surface in GIS.

Jin Zhu, Jiansong Li, Zilong Jiang

Clust. Comput., 2019

Exploiting the input sparsity to accelerate deep neural networks: poster.

Xiao Dong, Lei Liu, Guangli Li, Jiansong Li, Peng Zhao, Xueying Wang, Xiaobing Feng

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

Performance Analysis of Cambricon MLU100.

Jiansong Li, Zihan Jiang

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity.

Xiao Dong, Lei Liu, Peng Zhao, Guangli Li, Jiansong Li, Xueying Wang, Xiaobing Feng

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

Methods of Population Spatialization Based on the Classification Information of Buildings from China's First National Geoinformation Survey in Urban Area: A Case Study of Wuchang District, Wuhan City, China.

Linze Li, Jiansong Li, Zilong Jiang, Lingli Zhao, Pengcheng Zhao

Sensors, 2018

2017

Improvement of Gaofen-3 Absolute Positioning Accuracy Based on Cross-Calibration.

Mingjun Deng, Guo Zhang, Ruishan Zhao, Shaoning Li, Jiansong Li

Sensors, 2017