Jiechao Gao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 49

Top Topics

Speech Enhancement

Renewable Energy

Top Venues

BuildSys@SenSys

Publications

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 (2024)
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) (2024)
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 (2023)
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) (2023)
Wei Cai, Jiechao Gao
SSCL: Semi-supervised Contrastive Learning for Industrial Anomaly Detection. PRCV (4) (2023)
Jiechao Gao, Tiange Xie
Chapter Three - DNA computing in cryptography. Adv. Comput. 129 (2023)
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 (2023)
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) (2023)
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) (2023)
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)
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 (2023)
Jiechao Gao, Wenpeng Wang, Fateme Nikseresht, Viswajith Govinda Rajan, Bradford Campbell
PFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management. ICPP (2023)
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 (2023)
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)
Hafiz Tayyab Rauf, Jiechao Gao, Ahmad 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 (2023)
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) (2023)
Hafiz Tayyab Rauf, Jiechao Gao, Ahmad S. Almadhor, Muhammad Arif, Md. Tabrez Nafis
Retraction Note: Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM. Soft Comput. 27 (13) (2023)
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) (2023)
Gauransh Sawhney, Daksh Dave, Adeel Ahmed, Jiechao Gao, Khalid Saleem
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images. CoRR (2023)
Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
Graph Neural Networks in IoT: A Survey. CoRR (2022)
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) (2022)
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) (2022)
Priyan Malarvizhi Kumar, Bharat S. Rawal, Jiechao Gao
Blockchain-enabled Privacy Preserving of IoT Data for Sustainable Smart Cities using Machine Learning. COMSNETS (2022)
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) (2022)
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) (2022)
Jiechao Gao, Wenpeng Wang, Bradford Campbell
Poster Abstract: Residential Energy Management System Using Personalized Federated Deep Reinforcement learning. IPSN (2022)
Jiechao Gao, Mingyue Tang, Tianhao Wang, Bradford Campbell
PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data. SenSys (2022)
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 (2022)
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 (2022)
Jiechao Gao, Haoyu Wang, Haiying Shen
Task Failure Prediction in Cloud Data Centers Using Deep Learning. IEEE Trans. Serv. Comput. 15 (3) (2022)
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) (2022)
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) (2022)
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 (2022)
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 (2022)
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 (2022)
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)
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)
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)
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. CoRR (2021)
Haoyu Wang, Haiying Shen, Jiechao Gao, Kevin Zheng, Xiaoying Li
Multi-Agent Reinforcement Learning based Distributed Renewable Energy Matching for Datacenters. ICPP (2021)
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 (2021)
Hafiz Tayyab Rauf, Jiechao Gao, Ahmad Almadhor, Muhammad Arif, Md. Tabrez Nafis
Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM. Soft Comput. 25 (20) (2021)
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang
FinRL: deep reinforcement learning framework to automate trading in quantitative finance. ICAIF (2021)
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 (2021)
Wenpeng Wang, Zetian Liu, Jiechao Gao, Nurani Saoda, Bradford Campbell
UbiTrack: enabling scalable & low-cost device localization with onboard wifi. BuildSys@SenSys (2021)
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)
Jiechao Gao, Haoyu Wang, Haiying Shen
Smartly Handling Renewable Energy Instability in Supporting A Cloud Datacenter. IPDPS (2020)
Jiechao Gao, Haoyu Wang, Haiying Shen
Machine Learning Based Workload Prediction in Cloud Computing. ICCCN (2020)
Jiechao Gao, Haoyu Wang, Haiying Shen
Task Failure Prediction in Cloud Data Centers Using Deep Learning. IEEE BigData (2019)