Chao Li

Orcid: 0000-0002-5343-1862

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Chao Li authored at least 28 papers between 2015 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Complexity and algorithm of setting optimal location for data sink in real-time NOMA-based IIoTs.
Comput. Commun., January, 2024

2023
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., April, 2023

Retain and Recover: Delving Into Information Loss for Few-Shot Segmentation.
IEEE Trans. Image Process., 2023

Underwater Pollution Tracking Based on Software-Defined Multi-Tier Edge Computing in 6G-Based Underwater Wireless Networks.
IEEE J. Sel. Areas Commun., 2023

Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Intelligent Blockchain-Enabled Adaptive Collaborative Resource Scheduling in Large-Scale Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2022

A Low-Latency Random Access Scheme by Multichannel SIC for Industrial IoT.
IEEE Syst. J., 2022

Complexity of minimum uplink power scheduling with delay bound for Backbone-assisted PD-NOMA wireless networks.
Comput. Networks, 2022

Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration.
Proceedings of the International Joint Conference on Neural Networks, 2022

Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Interpretable Generative Adversarial Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration.
CoRR, 2021

A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks.
CoRR, 2021

Optimal data sink location for real-time NOMA-based Industrial IoTs.
Proceedings of the IEEE International Performance, 2021

Channel Pruning via Multi-Criteria based on Weight Dependency.
Proceedings of the International Joint Conference on Neural Networks, 2021

Towards Compressing Efficient Generative Adversarial Networks for Image Translation via Pruning and Distilling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration.
CoRR, 2020

Reliable uplink transmissions for NOMA-based Industrial Wireless Networks with guaranteed real-time performance.
Comput. Commun., 2020

A deep neural network compression algorithm based on knowledge transfer for edge devices.
Comput. Commun., 2020

Gated Convolutional Networks with Hybrid Connectivity for Image Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Gated Convolutional Networks with Hybrid Connectivity for Image Classification.
CoRR, 2019

MLOPS: A SIC-Based Minimum Frame Length With Optimized Power Scheduling for UANs.
IEEE Access, 2019

Multi-objective Pruning for CNNs Using Genetic Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

L0 Regularization based Fine-grained Neural Network Pruning Method.
Proceedings of the 11th International Conference on Electronics, 2019

2018
A Deep Neural Network Compression Algorithm Based on Knowledge Transfer for Edge Device.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

2016
A Reliable Depth-Based Routing Protocol with Network Coding for Underwater Sensor Networks.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015
Improving Both Energy and Time Efficiency of Depth-Based Routing for Underwater Sensor Networks.
Int. J. Distributed Sens. Networks, 2015


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