Machine Learning Based Workload Prediction in Cloud Computing. - Jiechao Gao; Haoyu Wang 003; Haiying Shen (ICCCN, 2020)

Smartly Handling Renewable Energy Instability in Supporting A Cloud Datacenter. - Jiechao Gao; Haoyu Wang 003; Haiying Shen (IPDPS, 2020)

FinRL: deep reinforcement learning framework to automate trading in quantitative finance. - Xiao-Yang Liu; Hongyang Yang; Jiechao Gao; Christina Dan Wang (ICAIF, 2021)

Multi-Agent Reinforcement Learning based Distributed Renewable Energy Matching for Datacenters. - Haoyu Wang 003; Haiying Shen; Jiechao Gao; Kevin Zheng; Xiaoying Li (ICPP, 2021)

BLE Can See: A Reinforcement Learning Approach for RF-based Indoor Occupancy Detection. - Md Fazlay Rabbi Masum Billah; Nurani Saoda; Jiechao Gao; Bradford Campbell (IPSN, 2021)

Decentralized Federated Learning Framework for the Neighborhood: A Case Study on Residential Building Load Forecasting. - Jiechao Gao; Wenpeng Wang; Zetian Liu; Md Fazlay Rabbi Masum Billah; Bradford Campbell (SenSys, 2021)

UbiTrack: enabling scalable & low-cost device localization with onboard wifi. - Wenpeng Wang; Zetian Liu; Jiechao Gao; Nurani Saoda; Bradford Campbell (BuildSys, 2021)

The smart building privacy challenge. - Tong Wu 012; Murtadha Aldeer; Tahiya Chowdhury; Amber Haynes; Fateme Nikseresht; Mahsa Pahlavikhah Varnosfaderani; Jiechao Gao; Arsalan Heydarian; Brad Campbell; Jorge Ortiz 001 (BuildSys, 2021)

FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance. - Xiao-Yang Liu; Jingyang Rui; Jiechao Gao; Liuqing Yang; Hongyang Yang; Zhaoran Wang 001; Christina Dan Wang; Jian Guo (CoRR, 2021)

OBPP: An ontology-based framework for privacy-preserving in IoT-based smart city. - Mehdi Gheisari; Hamid Esmaeili Najafabadi; Jafar Ahmad Abed Alzubi; Jiechao Gao; Guojun Wang 001; Aaqif Afzaal Abbasi; Aniello Castiglione (Future Gener. Comput. Syst., 2021)

Blockchain-enabled Privacy Preserving of IoT Data for Sustainable Smart Cities using Machine Learning. - Priyan Malarvizhi Kumar; Bharat S. Rawal; Jiechao Gao (COMSNETS, 2022)

Poster Abstract: Residential Energy Management System Using Personalized Federated Deep Reinforcement learning. - Jiechao Gao; Wenpeng Wang; Bradford Campbell (IPSN, 2022)

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. - Xiao-Yang Liu; Ziyi Xia; Jingyang Rui; Jiechao Gao; Hongyang Yang; Ming Zhu 002; Christina Dan Wang; Zhaoran Wang 001; Jian Guo (NeurIPS, 2022)

PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data. - Jiechao Gao; Mingyue Tang; Tianhao Wang 001; Bradford Campbell (SenSys, 2022)

Regularized sparse features for noisy speech enhancement using deep neural networks. - Muhammad Irfan Khattak; Nasir Saleem; Jiechao Gao; Elena Verdú; Javier Parra Fuente (Comput. Electr. Eng., 2022)

Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting. - Berend Jelmer Dirk Gort; Xiao-Yang Liu; Xinghang Sun; Jiechao Gao; Shuaiyu Chen; Christina Dan Wang (CoRR, 2022)

Trust-aware denoising autoencoder with spatial-temporal activity for cross-domain personalized recommendations. - Adeel Ahmed; Khalid Saleem; Osman Khalid; Jiechao Gao; Umer Rashid (Neurocomputing, 2022)

An Improved Lightweight PUF-PKI Digital Certificate Authentication Scheme for the Internet of Things. - Zeeshan Siddiqui; Jiechao Gao; Muhammad Khurram Khan (IEEE Internet Things J., 2022)

E2E-V2SResNet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis. - Nasir Saleem; Jiechao Gao; Muhammad Irfan; Elena Verdú; Javier Parra Fuente (Image Vis. Comput., 2022)

DeepResGRU: Residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition. - Nasir Saleem; Jiechao Gao; Muhammad Irfan Khattak; Hafiz Tayyab Rauf; Seifedine Kadry 001; Muhammad Shafi (Knowl. Based Syst., 2022)

Transfer Learning-Aided Collaborative Computational Method for Intelligent Transportation System Applications. - Tu N. Nguyen 001; Jiechao Gao; Gunasekaran Manogaran; R. Dinesh Jackson Samuel; Mamoun Alazab (IEEE Trans. Green Commun. Netw., 2022)

Redemptive Resource Sharing and Allocation Scheme for Internet of Things-Assisted Smart Healthcare Systems. - Jiechao Gao; Tu N. Nguyen 001; Gunasekaran Manogaran; Ankit Chaudhary; Gai-Ge Wang (IEEE J. Biomed. Health Informatics, 2022)

Clouds Proportionate Medical Data Stream Analytics for Internet of Things-Based Healthcare Systems. - Priyan Malarvizhi Kumar; Choong Seon Hong; Fatemeh Afghah; Gunasekaran Manogaran; Keping Yu; Qiaozhi Hua; Jiechao Gao (IEEE J. Biomed. Health Informatics, 2022)

A Vehicle-Consensus Information Exchange Scheme for Traffic Management in Vehicular Ad-Hoc Networks. - Jiechao Gao; Gunasekaran Manogaran; Tu N. Nguyen 001; Seifedine Kadry 001; Ching-Hsien Hsu; Priyan Malarvizhi Kumar (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Learning-Based Service Distribution Model for Wireless Network Assisted Internet of Everything. - Gunasekaran Manogaran; Tu N. Nguyen 001; Jiechao Gao; Priyan Malarvizhi Kumar (IEEE Trans. Netw. Sci. Eng., 2022)

Task Failure Prediction in Cloud Data Centers Using Deep Learning. - Jiechao Gao; Haoyu Wang 003; Haiying Shen (IEEE Trans. Serv. Comput., 2022)

øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder. - Mingyue Tang; Jiechao Gao; Guimin Dong; Carl Yang 001; Bradford Campbell; Brendan Bowman; Jamie Marie Zoellner; Emaad Abdel-Rahman; Mehdi Boukhechba (CHIL, 2023)

Enabling Ubiquitous Occupancy Detection in Smart Buildings: A WiFi FTM-Based Approach. - Wenpeng Wang; Fateme Nikseresht; Viswajith Govinda Rajan; Jiechao Gao; Bradford Campbell (DCOSS-IoT, 2023)

PFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management. - Jiechao Gao; Wenpeng Wang; Fateme Nikseresht; Viswajith Govinda Rajan; Bradford Campbell (ICPP, 2023)

SSCL: Semi-supervised Contrastive Learning for Industrial Anomaly Detection. - Wei Cai; Jiechao Gao (PRCV (4), 2023)

Chapter Three - DNA computing in cryptography. - Jiechao Gao; Tiange Xie (Adv. Comput., 2023)

Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems. - Hafiz Tayyab Rauf; Jiechao Gao; Ahmad S. Almadhor; Ali Haider; Yu-Dong Zhang 001; Fadi M. Al-Turjman (Appl. Soft Comput., 2023)

From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue. - Gautam Siddharth Kashyap; Deepkashi Mahajan; Orchid Chetia Phukan; Ankit Kumar; Alexander E. I. Brownlee; Jiechao Gao (CoRR, 2023)

Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning. - Xiao-Yang Liu; Rongyi Zhu; Daochen Zha; Jiechao Gao; Shan Zhong; Meikang Qiu (CoRR, 2023)

PPDMIT: a lightweight architecture for privacy-preserving data aggregation in the Internet of Things. - Mehdi Gheisari; Amir Javadpour 001; Jiechao Gao; Aaqif Afzaal Abbasi; Quoc-Viet Pham; Yang Liu 039 (J. Ambient Intell. Humaniz. Comput., 2023)

An Instability-Resilient Renewable Energy Allocation System for a Cloud Datacenter. - Haiying Shen; Haoyu Wang 003; Jiechao Gao; Rajkumar Buyya (IEEE Trans. Parallel Distributed Syst., 2023)

Graph Neural Networks in IoT: A Survey. - Guimin Dong; Mingyue Tang; Zhiyuan Wang 003; Jiechao Gao; Sikun Guo; Lihua Cai; Robert J. Gutierrez; Bradford Campbell; Laura E. Barnes; Mehdi Boukhechba (ACM Trans. Sens. Networks, 2023)

DeepCNN: Spectro-temporal feature representation for speech emotion recognition. - Nasir Saleem; Jiechao Gao; Rizwana Irfan; Ahmad S. Almadhor; Hafiz Tayyab Rauf; Yu-Dong Zhang 001; Seifedine Nimer Kadry (CAAI Trans. Intell. Technol., 2023)

E2E-DASR: End-to-end deep learning-based dysarthric automatic speech recognition. - Ahmad S. Almadhor; Rizwana Irfan; Jiechao Gao; Nasir Saleem; Hafiz Tayyab Rauf; Seifedine Nimer Kadry (Expert Syst. Appl., 2023)

Optimizing Resource and Service Allocations for IoT-Assisted Intelligent Transportation Systems. - Gunasekaran Manogaran; Jiechao Gao; Tu N. Nguyen 001 (IEEE Trans. Intell. Transp. Syst., 2023)

FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems. - Jiechao Gao; Yuangang Li 002 (BIBM, 2024)

FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes. - Kai Shu; Yuzhuo Jia; Ziyang Zhang; Jiechao Gao (BIBM, 2024)

Federated Learning with Knowledge Distillation to Mitigate Catastrophic Forgetting and Data Heterogeneity in IoV Systems. - Jiayu Wang; Jiechao Gao (IEEE Big Data, 2024)

ScreenSense: Screen Activity Detection in Real-World Environments with Indoor Light Sensors. - Tushar Routh; Nurani Saoda; Fateme Nikseresht; Md Fazlay Rabbi Masum Billah; Jiechao Gao; Viswajith Govinda Rajan; Bradford Campbell (BuildSys, 2024)

Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement. - Jiechao Gao; Yuangang Li 002; Syeda Faiza Ahmed (ICDM (Workshops), 2024)

EGGesture: Entropy-Guided Vector Quantized Variational AutoEncoder for Co-Speech Gesture Generation. - Yiyong Xiao; Kai Shu; Haoyi Zhang; Baohua Yin; Wai Seng Cheang; Haoyang Wang; Jiechao Gao (ACM Multimedia, 2024)

Integrating Consortium Blockchain and Attribute-Based Searchable Encryption for Automotive Threat Intelligence Sharing Model. - Tiange Xie; Feng Liu; Jiechao Gao; Yinghui Wang (SciSec, 2024)

A Full-Fledged, Multi-Agent System Representing the Architecture of Smart Cities by Balancing Energy With Optimal Electricity Forecasting, Integrating Individual Comfort, and Extracting Financial Gains. - M. Mahad Malik; Abdullah Altamimi; Syed Ali Abbas Kazmi; Zafar Ali Khan; M. Waleed Ansari; Kamran Mujahid; Jiechao Gao (IEEE Access, 2024)

H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications. - Jiechao Gao; Yuangang Li 002; Yue Zhao 016; Brad Campbell (CoRR, 2024)

DRUM: Learning Demonstration Retriever for Large MUlti-modal Models. - Ellen Yi-Ge; Jiechao Gao; Wei Han; Wei Zhu (CoRR, 2024)

Accident reduction through a privacy-preserving method on top of a novel ontology for autonomous vehicles with the support of modular arithmetic. - Mehdi Gheisari; Aminreza Karamoozian; Jiechao Gao; Hemn Barzan Abdalla; Shuja Ansari; Riaz Ullah Khan; Zhaoxi Fang (Veh. Commun., 2024)

Dynamic datasets and market environments for financial reinforcement learning. - Xiao-Yang Liu; Ziyi Xia; Hongyang Yang; Jiechao Gao; Daochen Zha; Ming Zhu 002; Christina Dan Wang; Zhaoran Wang 001; Jian Guo (Mach. Learn., 2024)

SynFix: Dependency-Aware Program Repair via RelationGraph Analysis. - Xunzhu Tang; Jiechao Gao; Jin Xu; Tiezhu Sun; Yewei Song; Saad Ezzini; Wendkûuni C. Ouédraogo; Jacques Klein; Tegawendé F. Bissyandé (ACL (Findings), 2025)

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline. - Yuzhi Huang; Chenxin Li; Haitao Zhang; Zixu Lin; Yunlong Lin; Hengyu Liu 007; Wuyang Li; Xinyu Liu 001; Jiechao Gao; Yue Huang 001; Xinghao Ding; Yixuan Yuan (CVPR, 2025)

Can AI See What We Can't? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction. - Gautam Siddharth Kashyap; Harsh Joshi; Manaswi Kulahara; Rajkumar Dhakar; Atul Sajjanhar; Jiechao Gao; Sarthak Jain; Shahab Saquib Sohail (ICASSP, 2025)

Fooling the Forgers: A Multi-Stage Framework for Audio Deepfake Detection. - Gautam Siddharth Kashyap; Zohaib Hasan Siddiqui; Mohammad Anas Azeez; Rafiq Ali; Shantanu Kumar; Navin Kamuni; Jiechao Gao (ICASSP, 2025)

Atlas: Ensuring Accuracy for Privacy-Preserving Federated IoT Applications. - Jiechao Gao; Mingyue Tang; Wenpeng Wang; Tushar Routh; Bradford Campbell (ICCPS, 2025)

Data Efficient PV based Indoor Event Detection. - Tushar Routh; Jiechao Gao; Bradford Campbell (ICCPS, 2025)

Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning. - Xiao-Yang Liu; Rongyi Zhu; Daochen Zha; Jiechao Gao; Shan Zhong; Matt White; Meikang Qiu (ACM Trans. Manag. Inf. Syst., 2025)

Learning Novel Transformer Architecture for Time-series Forecasting. - Juyuan Zhang; Wei Zhu; Jiechao Gao (CoRR, 2025)

Adapting Large Language Models for Time Series Modeling via a Novel Parameter-efficient Adaptation Method. - Juyuan Zhang; Wei Zhu; Jiechao Gao (CoRR, 2025)

Federated Neural Architecture Search with Model-Agnostic Meta Learning. - Xinyuan Huang; Jiechao Gao (CoRR, 2025)

LLMs on a Budget? Say HOLA. - Zohaib Hasan Siddiqui; Jiechao Gao; Ebad Shabbir; Mohammad Anas Azeez; Rafiq Ali; Gautam Siddharth Kashyap; Usman Naseem (CoRR, 2025)

ChildGuard: A Specialized Dataset for Combatting Child-Targeted Hate Speech. - Gautam Siddharth Kashyap; Mohammad Anas Azeez; Rafiq Ali; Zohaib Hasan Siddiqui; Jiechao Gao; Usman Naseem (CoRR, 2025)

The Confidence Paradox: Can LLM Know When It's Wrong. - Sahil Tripathi; Md Tabrez Nafis; Imran Hussain; Jiechao Gao (CoRR, 2025)

Can Argus Judge Them All? Comparing VLMs Across Domains. - Harsh Joshi; Gautam Siddharth Kashyap; Rafiq Ali; Ebad Shabbir; Niharika Jain; Sarthak Jain; Jiechao Gao; Usman Naseem (CoRR, 2025)

Truth, Trust, and Trouble: Medical AI on the Edge. - Mohammad Anas Azeez; Rafiq Ali; Ebad Shabbir; Zohaib Hasan Siddiqui; Gautam Siddharth Kashyap; Jiechao Gao; Usman Naseem (CoRR, 2025)

Can We Predict Your Next Move Without Breaking Your Privacy? - Arpita Soni; Sahil Tripathi; Gautam Siddharth Kashyap; Manaswi Kulahara; Mohammad Anas Azeez; Zohaib Hasan Siddiqui; Nipun Joshi; Jiechao Gao (CoRR, 2025)

Mitigating Hallucinations in Large Language Models via Causal Reasoning. - Yuangang Li 002; Yiqing Shen; Yi Nian; Jiechao Gao; Ziyi Wang; Chenxiao Yu; Shawn Li; Jie Wang; Xiyang Hu; Yue Zhao 016 (CoRR, 2025)