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Jiechao Gao
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2020 – today
- 2024
- [j22]Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo:
Dynamic datasets and market environments for financial reinforcement learning. Mach. Learn. 113(5): 2795-2839 (2024) - [j21]Mehdi Gheisari, Aminreza Karamoozian, Jiechao Gao, Hemn Barzan Abdalla, Shuja Ansari, Riaz Ullah Khan, Zhaoxi Fang:
Accident reduction through a privacy-preserving method on top of a novel ontology for autonomous vehicles with the support of modular arithmetic. Veh. Commun. 46: 100732 (2024) - [c18]Yiyong Xiao, Kai Shu, Haoyi Zhang, Baohua Yin, Wai Seng Cheang, Haoyang Wang, Jiechao Gao:
EGGesture: Entropy-Guided Vector Quantized Variational AutoEncoder for Co-Speech Gesture Generation. ACM Multimedia 2024: 6113-6122 - [i8]Kai Shu, Yuzhuo Jia, Ziyang Zhang, Jiechao Gao:
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes. CoRR abs/2409.03947 (2024) - 2023
- [j20]Jiechao Gao, Tiange Xie:
Chapter Three - DNA computing in cryptography. Adv. Comput. 129: 83-128 (2023) - [j19]Hafiz Tayyab Rauf, Jiechao Gao, Ahmad S. Almadhor, Ali Haider, Yu-Dong Zhang, Fadi M. Al-Turjman:
Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems. Appl. Soft Comput. 132: 109909 (2023) - [j18]Nasir Saleem, Jiechao Gao, Rizwana Irfan, Ahmad S. Almadhor, Hafiz Tayyab Rauf, Yu-Dong Zhang, Seifedine Nimer Kadry:
DeepCNN: Spectro-temporal feature representation for speech emotion recognition. CAAI Trans. Intell. Technol. 8(2): 401-417 (2023) - [j17]Ahmad S. Almadhor, Rizwana Irfan, Jiechao Gao, Nasir Saleem, Hafiz Tayyab Rauf, Seifedine Nimer Kadry:
E2E-DASR: End-to-end deep learning-based dysarthric automatic speech recognition. Expert Syst. Appl. 222: 119797 (2023) - [j16]Mehdi Gheisari, Amir Javadpour, Jiechao Gao, Aaqif Afzaal Abbasi, Quoc-Viet Pham, Yang Liu:
PPDMIT: a lightweight architecture for privacy-preserving data aggregation in the Internet of Things. J. Ambient Intell. Humaniz. Comput. 14(5): 5211-5223 (2023) - [j15]Gunasekaran Manogaran, Jiechao Gao, Tu N. Nguyen:
Optimizing Resource and Service Allocations for IoT-Assisted Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(11): 12877-12887 (2023) - [j14]Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba:
Graph Neural Networks in IoT: A Survey. ACM Trans. Sens. Networks 19(2): 47:1-47:50 (2023) - [j13]Haiying Shen, Haoyu Wang, Jiechao Gao, Rajkumar Buyya:
An Instability-Resilient Renewable Energy Allocation System for a Cloud Datacenter. IEEE Trans. Parallel Distributed Syst. 34(3): 1020-1034 (2023) - [c17]Mingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba:
øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder. CHIL 2023: 133-146 - [c16]Wenpeng Wang, Fateme Nikseresht, Viswajith Govinda Rajan, Jiechao Gao, Bradford Campbell:
Enabling Ubiquitous Occupancy Detection in Smart Buildings: A WiFi FTM-Based Approach. DCOSS-IoT 2023: 256-260 - [c15]Jiechao Gao, Wenpeng Wang, Fateme Nikseresht, Viswajith Govinda Rajan, Bradford Campbell:
PFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management. ICPP 2023: 402-411 - [c14]Wei Cai, Jiechao Gao:
SSCL: Semi-supervised Contrastive Learning for Industrial Anomaly Detection. PRCV (4) 2023: 100-112 - [i7]Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo:
Dynamic Datasets and Market Environments for Financial Reinforcement Learning. CoRR abs/2304.13174 (2023) - [i6]Gautam Siddharth Kashyap, Deepkashi Mahajan, Orchid Chetia Phukan, Ankit Kumar, Alexander E. I. Brownlee, Jiechao Gao:
From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue. CoRR abs/2311.16958 (2023) - [i5]Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Meikang Qiu:
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning. CoRR abs/2312.17493 (2023) - 2022
- [j12]Muhammad Irfan Khattak, Nasir Saleem, Jiechao Gao, Elena Verdú, Javier Parra Fuente:
Regularized sparse features for noisy speech enhancement using deep neural networks. Comput. Electr. Eng. 100: 107887 (2022) - [j11]Adeel Ahmed, Khalid Saleem, Osman Khalid, Jiechao Gao, Umer Rashid:
Trust-aware denoising autoencoder with spatial-temporal activity for cross-domain personalized recommendations. Neurocomputing 511: 477-494 (2022) - [j10]Zeeshan Siddiqui, Jiechao Gao, Muhammad Khurram Khan:
An Improved Lightweight PUF-PKI Digital Certificate Authentication Scheme for the Internet of Things. IEEE Internet Things J. 9(20): 19744-19756 (2022) - [j9]Nasir Saleem, Jiechao Gao, Muhammad Irfan, Elena Verdú, Javier Parra Fuente:
E2E-V2SResNet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis. Image Vis. Comput. 119: 104389 (2022) - [j8]Nasir Saleem, Jiechao Gao, Muhammad Irfan Khattak, Hafiz Tayyab Rauf, Seifedine Kadry, Muhammad Shafi:
DeepResGRU: Residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition. Knowl. Based Syst. 238: 107914 (2022) - [j7]Tu N. Nguyen, Jiechao Gao, Gunasekaran Manogaran, R. Dinesh Jackson Samuel, Mamoun Alazab:
Transfer Learning-Aided Collaborative Computational Method for Intelligent Transportation System Applications. IEEE Trans. Green Commun. Netw. 6(3): 1355-1367 (2022) - [j6]Priyan Malarvizhi Kumar, Choong Seon Hong, Fatemeh Afghah, Gunasekaran Manogaran, Keping Yu, Qiaozhi Hua, Jiechao Gao:
Clouds Proportionate Medical Data Stream Analytics for Internet of Things-Based Healthcare Systems. IEEE J. Biomed. Health Informatics 26(3): 973-982 (2022) - [j5]Jiechao Gao, Tu N. Nguyen, Gunasekaran Manogaran, Ankit Chaudhary, Gai-Ge Wang:
Redemptive Resource Sharing and Allocation Scheme for Internet of Things-Assisted Smart Healthcare Systems. IEEE J. Biomed. Health Informatics 26(8): 4238-4247 (2022) - [j4]Jiechao Gao, Gunasekaran Manogaran, Tu N. Nguyen, Seifedine Kadry, Ching-Hsien Hsu, Priyan Malarvizhi Kumar:
A Vehicle-Consensus Information Exchange Scheme for Traffic Management in Vehicular Ad-Hoc Networks. IEEE Trans. Intell. Transp. Syst. 23(10): 19602-19612 (2022) - [j3]Gunasekaran Manogaran, Tu N. Nguyen, Jiechao Gao, Priyan Malarvizhi Kumar:
Deep Learning-Based Service Distribution Model for Wireless Network Assisted Internet of Everything. IEEE Trans. Netw. Sci. Eng. 9(5): 3004-3014 (2022) - [j2]Jiechao Gao, Haoyu Wang, Haiying Shen:
Task Failure Prediction in Cloud Data Centers Using Deep Learning. IEEE Trans. Serv. Comput. 15(3): 1411-1422 (2022) - [c13]Priyan Malarvizhi Kumar, Bharat S. Rawal, Jiechao Gao:
Blockchain-enabled Privacy Preserving of IoT Data for Sustainable Smart Cities using Machine Learning. COMSNETS 2022: 1-6 - [c12]Jiechao Gao, Wenpeng Wang, Bradford Campbell:
Poster Abstract: Residential Energy Management System Using Personalized Federated Deep Reinforcement learning. IPSN 2022: 541-542 - [c11]Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo:
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. NeurIPS 2022 - [c10]Jiechao Gao, Mingyue Tang, Tianhao Wang, Bradford Campbell:
PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data. SenSys 2022: 835-836 - [i4]Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba:
Graph Neural Networks in IoT: A Survey. CoRR abs/2203.15935 (2022) - [i3]Berend Jelmer Dirk Gort, Xiao-Yang Liu, Xinghang Sun, Jiechao Gao, Shuaiyu Chen, Christina Dan Wang:
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting. CoRR abs/2209.05559 (2022) - 2021
- [j1]Mehdi Gheisari, Hamid Esmaeili Najafabadi, Jafar Ahmad Abed Alzubi, Jiechao Gao, Guojun Wang, Aaqif Afzaal Abbasi, Aniello Castiglione:
OBPP: An ontology-based framework for privacy-preserving in IoT-based smart city. Future Gener. Comput. Syst. 123: 1-13 (2021) - [c9]Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang:
FinRL: deep reinforcement learning framework to automate trading in quantitative finance. ICAIF 2021: 1:1-1:9 - [c8]Haoyu Wang, Haiying Shen, Jiechao Gao, Kevin Zheng, Xiaoying Li:
Multi-Agent Reinforcement Learning based Distributed Renewable Energy Matching for Datacenters. ICPP 2021: 37:1-37:10 - [c7]Md Fazlay Rabbi Masum Billah, Nurani Saoda, Jiechao Gao, Bradford Campbell:
BLE Can See: A Reinforcement Learning Approach for RF-based Indoor Occupancy Detection. IPSN 2021: 132-147 - [c6]Wenpeng Wang, Zetian Liu, Jiechao Gao, Nurani Saoda, Bradford Campbell:
UbiTrack: enabling scalable & low-cost device localization with onboard wifi. BuildSys@SenSys 2021: 11-20 - [c5]Tong Wu, Murtadha Aldeer, Tahiya Chowdhury, Amber Haynes, Fateme Nikseresht, Mahsa Pahlavikhah Varnosfaderani, Jiechao Gao, Arsalan Heydarian, Brad Campbell, Jorge Ortiz:
The smart building privacy challenge. BuildSys@SenSys 2021: 238-239 - [c4]Jiechao Gao, Wenpeng Wang, Zetian Liu, Md Fazlay Rabbi Masum Billah, Bradford Campbell:
Decentralized Federated Learning Framework for the Neighborhood: A Case Study on Residential Building Load Forecasting. SenSys 2021: 453-459 - [i2]Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang:
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. CoRR abs/2111.09395 (2021) - [i1]Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo:
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance. CoRR abs/2112.06753 (2021) - 2020
- [c3]Jiechao Gao, Haoyu Wang, Haiying Shen:
Machine Learning Based Workload Prediction in Cloud Computing. ICCCN 2020: 1-9 - [c2]Jiechao Gao, Haoyu Wang, Haiying Shen:
Smartly Handling Renewable Energy Instability in Supporting A Cloud Datacenter. IPDPS 2020: 769-778
2010 – 2019
- 2019
- [c1]Jiechao Gao, Haoyu Wang, Haiying Shen:
Task Failure Prediction in Cloud Data Centers Using Deep Learning. IEEE BigData 2019: 1111-1116
Coauthor Index
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last updated on 2024-11-07 21:28 CET by the dblp team
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