Jiechao Gao
Orcid: 0000-0003-0628-1416
According to our database1,
Jiechao Gao
authored at least 40 papers
between 2020 and 2023.
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Bibliography
2023
Optimizing Resource and Service Allocations for IoT-Assisted Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., November, 2023
Expert Syst. Appl., July, 2023
CAAI Trans. Intell. Technol., June, 2023
IEEE Trans. Parallel Distributed Syst., March, 2023
PPDMIT: a lightweight architecture for privacy-preserving data aggregation in the Internet of Things.
J. Ambient Intell. Humaniz. Comput., 2023
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning.
CoRR, 2023
From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue.
CoRR, 2023
CoRR, 2023
Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems.
Appl. Soft Comput., 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
PFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management.
Proceedings of the 52nd International Conference on Parallel Processing, 2023
øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder.
Proceedings of the Conference on Health, Inference, and Learning, 2023
2022
IEEE Trans. Serv. Comput., 2022
Deep Learning-Based Service Distribution Model for Wireless Network Assisted Internet of Everything.
IEEE Trans. Netw. Sci. Eng., 2022
A Vehicle-Consensus Information Exchange Scheme for Traffic Management in Vehicular Ad-Hoc Networks.
IEEE Trans. Intell. Transp. Syst., 2022
Clouds Proportionate Medical Data Stream Analytics for Internet of Things-Based Healthcare Systems.
IEEE J. Biomed. Health Informatics, 2022
Redemptive Resource Sharing and Allocation Scheme for Internet of Things-Assisted Smart Healthcare Systems.
IEEE J. Biomed. Health Informatics, 2022
Transfer Learning-Aided Collaborative Computational Method for Intelligent Transportation System Applications.
IEEE Trans. Green Commun. Netw., 2022
DeepResGRU: Residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition.
Knowl. Based Syst., 2022
E2E-V2SResNet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis.
Image Vis. Comput., 2022
An Improved Lightweight PUF-PKI Digital Certificate Authentication Scheme for the Internet of Things.
IEEE Internet Things J., 2022
Trust-aware denoising autoencoder with spatial-temporal activity for cross-domain personalized recommendations.
Neurocomputing, 2022
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting.
CoRR, 2022
Comput. Electr. Eng., 2022
PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Poster Abstract: Residential Energy Management System Using Personalized Federated Deep Reinforcement learning.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022
Blockchain-enabled Privacy Preserving of IoT Data for Sustainable Smart Cities using Machine Learning.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022
2021
Future Gener. Comput. Syst., 2021
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance.
CoRR, 2021
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021
Decentralized Federated Learning Framework for the Neighborhood: A Case Study on Residential Building Load Forecasting.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021
BLE Can See: A Reinforcement Learning Approach for RF-based Indoor Occupancy Detection.
Proceedings of the IPSN '21: The 20th International Conference on Information Processing in Sensor Networks, 2021
Multi-Agent Reinforcement Learning based Distributed Renewable Energy Matching for Datacenters.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021
FinRL: deep reinforcement learning framework to automate trading in quantitative finance.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021
2020
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020