Jianxiong Yin

Orcid: 0000-0003-4686-2768

According to our database1, Jianxiong Yin authored at least 30 papers between 2013 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study.
Int. J. Comput. Vis., April, 2024

2023
Learning Gabor Texture Features for Fine-Grained Recognition.
CoRR, 2023

Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation.
CoRR, 2023

MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs.
CoRR, 2023

Towards Balanced Active Learning for Multimodal Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning Gabor Texture Features for Fine-Grained Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Continual Semantic Segmentation with Automatic Memory Sample Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Saving the Limping: Fault-tolerant Quadruped Locomotion via Reinforcement Learning.
CoRR, 2022

2021
Effective action recognition with embedded key point shifts.
Pattern Recognit., 2021

PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition.
Neurocomputing, 2021

Exploiting inter-frame regional correlation for efficient action recognition.
Expert Syst. Appl., 2021

Self-Supervised Video Representation Learning by Video Incoherence Detection.
CoRR, 2021

Aligning Correlation Information for Domain Adaptation in Action Recognition.
CoRR, 2021

ACT: an Attentive Convolutional Transformer for Efficient Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
No more 996: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System.
CoRR, 2020

ARID: A New Dataset for Recognizing Action in the Dark.
CoRR, 2020

Evolving a Deep Neural Network Training Time Estimator.
Proceedings of the Optimization and Learning - Third International Conference, 2020

MLModelCI: An Automatic Cloud Platform for Efficient MLaaS.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Scalable AI Computing Lifecycle.
Proceedings of the International Symposium on VLSI Design, Automation and Test, 2019

Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

DeepHunter: a coverage-guided fuzz testing framework for deep neural networks.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

2018
Fast MPEG-CDVS Encoder With GPU-CPU Hybrid Computing.
IEEE Trans. Image Process., 2018

Secure Deep Learning Engineering: A Software Quality Assurance Perspective.
CoRR, 2018

Coverage-Guided Fuzzing for Deep Neural Networks.
CoRR, 2018

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Fast MPEG-CDVS Encoder with GPU-CPU Hybrid Computing.
CoRR, 2017

2015
Transient data delivery using fine-grained mobility data in spontaneous smartphone networks.
Wirel. Commun. Mob. Comput., 2015

Towards a Private Fall Injury Warning Service for Smartphone-Distracted Pedestrian.
Proceedings of the 2015 International Conference on Cloud Computing Research and Innovation, 2015

2014
A context-rich and extensible framework for spontaneous smartphone networking.
Comput. Commun., 2014

2013
Cloud3DView: an interactive tool for cloud data center operations.
Proceedings of the ACM SIGCOMM 2013 Conference, 2013


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