Jiansong Li

Orcid: 0000-0002-2924-5189

According to our database1, Jiansong Li authored at least 24 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Weighted least 𝓁<sub>p</sub> approximation on compact Riemannian manifolds.
CoRR, 2024

Optimal quadrature errors and sampling numbers for Sobolev spaces with logarithmic perturbation on spheres.
CoRR, 2024

2023
Weighted Lp Markov factors with doubling weights on the ball.
J. Approx. Theory, October, 2023

2022
An Application-oblivious Memory Scheduling System for DNN Accelerators.
ACM Trans. Archit. Code Optim., 2022

Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning.
J. Syst. Archit., 2022

Optimal randomized quadrature for weighted Sobolev and Besov classes with the Jacobi weight on the ball.
J. Complex., 2022

Weighted 𝓁<sub>q</sub> approximation problems on the ball and on the sphere.
CoRR, 2022

A systematic study on benchmarking AI inference accelerators.
CCF Trans. High Perform. Comput., 2022

MTMG: A Framework for Generating Adversarial Examples Targeting Multiple Learning-Based Malware Detection Systems.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

2021
Compiler-assisted Operator Template Library for DNN Accelerators.
Int. J. Parallel Program., 2021

Pinpointing the Memory Behaviors of DNN Training.
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.
Proceedings of the 28th International Conference on Geoinformatics, 2021

Unleashing the Low-Precision Computation Potential of Tensor Cores on GPUs.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020
Compiler-Assisted Operator Template Library for DNN Accelerators.
Proceedings of the Network and Parallel Computing, 2020

Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs.
Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019
ElasticActor: An Actor System with Automatic Granularity Adjustment.
Int. J. Parallel Program., 2019

The Pitfall of Evaluating Performance on Emerging AI Accelerators.
CoRR, 2019

Spatial-temporal correlation dimension reduction and unsteady granger driving factor in regional varied earth surface in GIS.
Clust. Comput., 2019

Exploiting the input sparsity to accelerate deep neural networks: poster.
Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

Performance Analysis of Cambricon MLU100.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity.
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.
Sensors, 2018

2017
Improvement of Gaofen-3 Absolute Positioning Accuracy Based on Cross-Calibration.
Sensors, 2017


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