Jiechao Gao

110 papers A* 9A 1B 6Misc 6Journal 56Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
CLARITY: A Lightweight Multimodal Transformer for Harmful Content Detection.
IEEE Trans. Artif. Intell.
Gautam Siddharth Kashyap, Niharika Jain, Ebad Shabbir, Harsh Joshi, Usman Naseem, Jiechao Gao
2026 — conf
Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?
EACL (Industry Track)
Sushant Kumar Ray, Gautam Siddharth Kashyap, Sahil Tripathi, Nipun Joshi, Vijay Govindarajan, Rafiq Ali, Jiechao Gao, Usman Naseem
2026 J jnl
Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?
CoRR
Sushant Kumar Ray, Gautam Siddharth Kashyap, Sahil Tripathi, Nipun Joshi, Vijay Govindarajan, Rafiq Ali, Jiechao Gao, Usman Naseem
2026 J jnl
IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models.
CoRR
Aarish Shah Mohsin, Mohammed Tayyab Ilyas Khan, Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Jiechao Gao
2026 A* conf
Mitigating Hallucinations in Large Language Models via Causal Reasoning.
AAAI
Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Li Li, Jie Wang, Xiyang Hu, Yue Zhao
2026 — conf
Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes.
EACL (Findings)
Gautam Siddharth Kashyap, Harsh Joshi, Niharika Jain, Ebad Shabbir, Jiechao Gao, Nipun Joshi, Usman Naseem
2026 J jnl
Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes.
CoRR
Gautam Siddharth Kashyap, Harsh Joshi, Niharika Jain, Ebad Shabbir, Jiechao Gao, Nipun Joshi, Usman Naseem
2026 A* conf
S2D-Align: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation.
AAAI
Jiechao Gao, Chang Liu, Yuangang Li
2026 A* conf
They Said Memes Were Harmless - We Found the Ones That Hurt: Decoding Jokes, Symbols, and Cultural References.
WWW
Sahil Tripathi, Gautam Siddharth Kashyap, Mehwish Nasim, Jian Yang, Jiechao Gao, Usman Naseem
2026 J jnl
They Said Memes Were Harmless-We Found the Ones That Hurt: Decoding Jokes, Symbols, and Cultural References.
CoRR
Sahil Tripathi, Gautam Siddharth Kashyap, Mehwish Nasim, Jian Yang, Jiechao Gao, Usman Naseem
2026 J jnl
Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On.
IACR Cryptol. ePrint Arch.
Yixiang Yao, Yuhang Yao, Xinyi Fan, Jiechao Gao, Jie Wang, Minjia Zhang, Srivatsan Ravi, Carlee Joe-Wong
2025 J jnl
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-Agent System.
CoRR
Hui Yi Leong, Yuheng Li, Yuqing Wu, Wenwen Ouyang, Wei Zhu, Jiechao Gao, Wei Han
2025 — conf
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System.
EMNLP (Industry Track)
Hui Yi Leong, Yuheng Li, Yuqing Wu, Wenwen Ouyang, Wei Zhu, Jiechao Gao, Wei Han
2025 J jnl
Adapting Large Language Models for Time Series Modeling via a Novel Parameter-efficient Adaptation Method.
CoRR
Juyuan Zhang, Wei Zhu, Jiechao Gao
2025 — conf
Aligning and Balancing ID and Multimodal Representations for Recommendation.
KDD (2)
Binrui Wu, Shisong Tang, Fan Li, Bing Han, Chang Meng, Jingyu Xiao, Jiechao Gao
2025 — conf
Atlas: Ensuring Accuracy for Privacy-Preserving Federated IoT Applications.
ICCPS
Jiechao Gao, Mingyue Tang, Wenpeng Wang, Tushar Routh, Bradford Campbell
2025 A* conf
Calibrating Video Watch-time Predictions with Credible Prototype Alignment.
ICML
Chao Cui, Shisong Tang, Fan Li, Jiechao Gao, Hechang Chen
2025 Misc conf
Can AI See What We Can't? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction.
ICASSP
Gautam Siddharth Kashyap, Harsh Joshi, Manaswi Kulahara, Rajkumar Dhakar, Atul Sajjanhar, Jiechao Gao, Sarthak Jain, Shahab Saquib Sohail
2025 J jnl
Can Argus Judge Them All? Comparing VLMs Across Domains.
CoRR
Harsh Joshi, Gautam Siddharth Kashyap, Rafiq Ali, Ebad Shabbir, Niharika Jain, Sarthak Jain, Jiechao Gao, Usman Naseem
2025 — conf
Can We Predict Your Next Move Without Breaking Your Privacy?
ASONAM (2)
Arpita Soni, Sahil Tripathi, Gautam Siddharth Kashyap, Manaswi Kulahara, Mohammad Anas Azeez, Zohaib Hasan Siddiqui, Nipun Joshi, Jiechao Gao
2025 J jnl
Can We Predict Your Next Move Without Breaking Your Privacy?
CoRR
Arpita Soni, Sahil Tripathi, Gautam Siddharth Kashyap, Manaswi Kulahara, Mohammad Anas Azeez, Zohaib Hasan Siddiqui, Nipun Joshi, Jiechao Gao
2025 J jnl
ChildGuard: A Specialized Dataset for Combatting Child-Targeted Hate Speech.
CoRR
Gautam Siddharth Kashyap, Mohammad Anas Azeez, Rafiq Ali, Zohaib Hasan Siddiqui, Jiechao Gao, Usman Naseem
2025 — conf
DRUM: Learning Demonstration Retriever for Large MUlti-modal Models.
ACL (4)
Ellen Yi-Ge, Jiechao Gao, Wei Han, Wei Zhu
2025 — conf
Data Efficient PV based Indoor Event Detection.
ICCPS
Tushar Routh, Jiechao Gao, Bradford Campbell
2025 J jnl
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning.
ACM Trans. Manag. Inf. Syst.
Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Matt White, Meikang Qiu
2025 B conf
Enhancing Interpretability in Self-Training with Tsetlin Machines for Mitigating Noisy Pseudo-Labels.
IEEE Big Data
Jiechao Gao, Rohan Kumar Yadav, Xinyuan Huang, Jie Wang
2025 — conf
FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method.
EMNLP (Industry Track)
Yuheng Li, Jiechao Gao, Wei Han, Wenwen Ouyang, Wei Zhu, Hui Yi Leong
2025 J jnl
FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method.
CoRR
Yuheng Li, Jiechao Gao, Wei Han, Wenwen Ouyang, Wei Zhu, Hui Yi Leong
2025 — conf
FedBCE: Rethinking Clustered Federated Learning for Better Clustering Efficiency.
KSEM (1)
Huaibin Ye, Zuobin Ying, Jiechao Gao, Ximeng Liu, Jianping Cai
2025 B conf
Federated Neural Architecture Search with Model-Agnostic Meta Learning.
IEEE Big Data
Xinyuan Huang, Jiechao Gao, Jie Wang
2025 J jnl
Federated Neural Architecture Search with Model-Agnostic Meta Learning.
CoRR
Xinyuan Huang, Jiechao Gao
2025 Misc conf
Fooling the Forgers: A Multi-Stage Framework for Audio Deepfake Detection.
ICASSP
Gautam Siddharth Kashyap, Zohaib Hasan Siddiqui, Mohammad Anas Azeez, Rafiq Ali, Shantanu Kumar, Navin Kamuni, Jiechao Gao
2025 A* conf
From Guesswork to Guarantee: Towards Faithful Multimedia Web Forecasting with TimeSieve.
ACM Multimedia
Songning Lai, Ninghui Feng, Jiechao Gao, Hao Wang, Haochen Sui, Xin Zou, Jiayu Yang, Wenshuo Chen, Lijie Hu, Hang Zhao, Xuming Hu, Yutao Yue
2025 — conf
LLMs on a Budget? Say HOLA.
EMNLP (Industry Track)
Zohaib Hasan Siddiqui, Jiechao Gao, Ebad Shabbir, Mohammad Anas Azeez, Rafiq Ali, Gautam Siddharth Kashyap, Usman Naseem
2025 J jnl
LLMs on a Budget? Say HOLA.
CoRR
Zohaib Hasan Siddiqui, Jiechao Gao, Ebad Shabbir, Mohammad Anas Azeez, Rafiq Ali, Gautam Siddharth Kashyap, Usman Naseem
2025 J jnl
Learning Novel Transformer Architecture for Time-series Forecasting.
CoRR
Juyuan Zhang, Wei Zhu, Jiechao Gao
2025 — conf
Leveraging Label Distributions as Anchors to Enhance Video Recommendation.
KDD (2)
Yulin Xu, Chao Cui, Shisong Tang, Fan Li, Bing Han, Huafeng Cao, Jiechao Gao, Hechang Chen
2025 J jnl
Mitigating Hallucinations in Large Language Models via Causal Reasoning.
CoRR
Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao
2025 A* conf
Prototype-Guided Representation Projection for Multi-Domain Multi-Task Recommendation.
ACM Multimedia
Binrui Wu, Haochen Sui, Jiaye Lin, Jiechao Gao, Ting Xu, Keyan Jin, Xuesong Zhang
2025 J jnl
S2D-ALIGN: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation.
CoRR
Jiechao Gao, Chang Liu, Yuangang Li
2025 — conf
SynFix: Dependency-Aware Program Repair via RelationGraph Analysis.
ACL (Findings)
Xunzhu Tang, Jiechao Gao, Jin Xu, Tiezhu Sun, Yewei Song, Saad Ezzini, Wendkûuni C. Ouédraogo, Jacques Klein, Tegawendé F. Bissyandé
2025 J jnl
The Confidence Paradox: Can LLM Know When It's Wrong.
CoRR
Sahil Tripathi, Md Tabrez Nafis, Imran Hussain, Jiechao Gao
2025 — conf
The Confidence Paradox: Can LLM Know When It's Wrong?
IJCNLP-AACL (long papers)
Sahil Tripathi, Md Tabrez Nafis, Imran Hussain, Jiechao Gao
2025 — conf
Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation.
ACL (4)
Juyuan Zhang, Jiechao Gao, Wenwen Ouyang, Wei Zhu, Hui Yi Leong
2025 — conf
Toward Fair and Efficient Neural Architecture Search in Heterogeneous Federated Learning.
BIBM
Xinyuan Huang, Jiechao Gao
2025 A* conf
Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline.
CVPR
Yuzhi Huang, Chenxin Li, Haitao Zhang, Zixu Lin, Yunlong Lin, Hengyu Liu, Wuyang Li, Xinyu Liu, Jiechao Gao, Yue Huang, Xinghao Ding, Yixuan Yuan
2025 J jnl
Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline.
CoRR
Yuzhi Huang, Chenxin Li, Haitao Zhang, Zixu Lin, Yunlong Lin, Hengyu Liu, Wuyang Li, Xinyu Liu, Jiechao Gao, Yue Huang, Xinghao Ding, Yixuan Yuan
2025 — conf
Truth, Trust, and Trouble: Medical AI on the Edge.
EMNLP (Industry Track)
Mohammad Anas Azeez, Rafiq Ali, Ebad Shabbir, Zohaib Hasan Siddiqui, Gautam Siddharth Kashyap, Jiechao Gao, Usman Naseem
2025 J jnl
Truth, Trust, and Trouble: Medical AI on the Edge.
CoRR
Mohammad Anas Azeez, Rafiq Ali, Ebad Shabbir, Zohaib Hasan Siddiqui, Gautam Siddharth Kashyap, Jiechao Gao, Usman Naseem
2025 — conf
U-KAN: Hybrid Spatial-Functional Deep Learning for Tumor Depth Estimation in Fluorescence-Guided Cancer Surgery.
BIBM
Xinyuan Huang, Hikaru Kurosawa, Jack Wunder, Sujit Patil, Jiechao Gao, Karthik Kuber, Jonathan C. Irish, Michael J. Daly
2025 Misc conf
fReeLoaders: An IoT Ecosystem for Real-Time Deadline-Driven Task Scheduling using Reinforcement Learning.
SEC
Marshall Clyburn, Nabeel Nasir, Md Fazlay Rabbi Masum Billah, Victor Ariel Leal Sobral, Jiechao Gao, Fateme Nikseresht, Brad Campbell
2024 J jnl
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.
IEEE Access
M. Mahad Malik, Abdullah Altamimi, Syed Ali Abbas Kazmi, Zafar Ali Khan, Muhammad Waleed Ansari, Kamran Mujahid, Jiechao Gao
2024 J jnl
Accident reduction through a privacy-preserving method on top of a novel ontology for autonomous vehicles with the support of modular arithmetic.
Veh. Commun.
Mehdi Gheisari, Aminreza Karamoozian, Jiechao Gao, Hemn Barzan Abdalla, Shuja Ansari, Riaz Ullah Khan, Zhaoxi Fang
2024 J jnl
DRUM: Learning Demonstration Retriever for Large MUlti-modal Models.
CoRR
Ellen Yi-Ge, Jiechao Gao, Wei Han, Wei Zhu
2024 J jnl
Dynamic datasets and market environments for financial reinforcement learning.
Mach. Learn.
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2024 A* conf
EGGesture: Entropy-Guided Vector Quantized Variational AutoEncoder for Co-Speech Gesture Generation.
ACM Multimedia
Yiyong Xiao, Kai Shu, Haoyi Zhang, Baohua Yin, Wai Seng Cheang, Haoyang Wang, Jiechao Gao
2024 — conf
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes.
BIBM
Kai Shu, Yuzhuo Jia, Ziyang Zhang, Jiechao Gao
2024 J jnl
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes.
CoRR
Kai Shu, Yuzhuo Jia, Ziyang Zhang, Jiechao Gao
2024 — conf
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement.
ICDM (Workshops)
Jiechao Gao, Yuangang Li, Syeda Faiza Ahmed
2024 J jnl
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement.
CoRR
Jiechao Gao, Yuangang Li, Syeda Faiza Ahmed
2024 — conf
FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems.
BIBM
Jiechao Gao, Yuangang Li
2024 J jnl
FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems.
CoRR
Jiechao Gao, Yuangang Li
2024 B conf
Federated Learning with Knowledge Distillation to Mitigate Catastrophic Forgetting and Data Heterogeneity in IoV Systems.
IEEE Big Data
Jiayu Wang, Jiechao Gao
2024 J jnl
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications.
CoRR
Jiechao Gao, Yuangang Li, Yue Zhao, Brad Campbell
2024 — conf
Integrating Consortium Blockchain and Attribute-Based Searchable Encryption for Automotive Threat Intelligence Sharing Model.
SciSec
Tiange Xie, Feng Liu, Jiechao Gao, Yinghui Wang
2024 — conf
ScreenSense: Screen Activity Detection in Real-World Environments with Indoor Light Sensors.
BuildSys
Tushar Routh, Nurani Saoda, Fateme Nikseresht, Md Fazlay Rabbi Masum Billah, Jiechao Gao, Viswajith Govinda Rajan, Bradford Campbell
2023 J jnl
An Instability-Resilient Renewable Energy Allocation System for a Cloud Datacenter.
IEEE Trans. Parallel Distributed Syst.
Haiying Shen, Haoyu Wang, Jiechao Gao, Rajkumar Buyya
2023 J jnl
Chapter Three - DNA computing in cryptography.
Adv. Comput.
Jiechao Gao, Tiange Xie
2023 J jnl
DeepCNN: Spectro-temporal feature representation for speech emotion recognition.
CAAI Trans. Intell. Technol.
Nasir Saleem, Jiechao Gao, Rizwana Irfan, Ahmad S. Almadhor, Hafiz Tayyab Rauf, Yu-Dong Zhang, Seifedine Nimer Kadry
2023 J jnl
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning.
CoRR
Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Meikang Qiu
2023 J jnl
Dynamic Datasets and Market Environments for Financial Reinforcement Learning.
CoRR
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2023 J jnl
E2E-DASR: End-to-end deep learning-based dysarthric automatic speech recognition.
Expert Syst. Appl.
Ahmad S. Almadhor, Rizwana Irfan, Jiechao Gao, Nasir Saleem, Hafiz Tayyab Rauf, Seifedine Nimer Kadry
2023 — conf
Enabling Ubiquitous Occupancy Detection in Smart Buildings: A WiFi FTM-Based Approach.
DCOSS-IoT
Wenpeng Wang, Fateme Nikseresht, Viswajith Govinda Rajan, Jiechao Gao, Bradford Campbell
2023 J jnl
From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue.
CoRR
Gautam Siddharth Kashyap, Deepkashi Mahajan, Orchid Chetia Phukan, Ankit Kumar, Alexander E. I. Brownlee, Jiechao Gao
2023 J jnl
Graph Neural Networks in IoT: A Survey.
ACM Trans. Sens. Networks
Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
2023 J jnl
Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems.
Appl. Soft Comput.
Hafiz Tayyab Rauf, Jiechao Gao, Ahmad S. Almadhor, Ali Haider, Yu-Dong Zhang, Fadi M. Al-Turjman
2023 J jnl
Optimizing Resource and Service Allocations for IoT-Assisted Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst.
Gunasekaran Manogaran, Jiechao Gao, Tu N. Nguyen
2023 B conf
PFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management.
ICPP
Jiechao Gao, Wenpeng Wang, Fateme Nikseresht, Viswajith Govinda Rajan, Bradford Campbell
2023 J jnl
PPDMIT: a lightweight architecture for privacy-preserving data aggregation in the Internet of Things.
J. Ambient Intell. Humaniz. Comput.
Mehdi Gheisari, Amir Javadpour, Jiechao Gao, Aaqif Afzaal Abbasi, Quoc-Viet Pham, Yang Liu
2023 — conf
SSCL: Semi-supervised Contrastive Learning for Industrial Anomaly Detection.
PRCV (4)
Wei Cai, Jiechao Gao
2023 — conf
øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder.
CHIL
Mingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba
2022 J jnl
A Vehicle-Consensus Information Exchange Scheme for Traffic Management in Vehicular Ad-Hoc Networks.
IEEE Trans. Intell. Transp. Syst.
Jiechao Gao, Gunasekaran Manogaran, Tu N. Nguyen, Seifedine Kadry, Ching-Hsien Hsu, Priyan Malarvizhi Kumar
2022 J jnl
An Improved Lightweight PUF-PKI Digital Certificate Authentication Scheme for the Internet of Things.
IEEE Internet Things J.
Zeeshan Siddiqui, Jiechao Gao, Muhammad Khurram Khan
2022 Misc conf
Blockchain-enabled Privacy Preserving of IoT Data for Sustainable Smart Cities using Machine Learning.
COMSNETS
Priyan Malarvizhi Kumar, Bharat S. Rawal, Jiechao Gao
2022 J jnl
Clouds Proportionate Medical Data Stream Analytics for Internet of Things-Based Healthcare Systems.
IEEE J. Biomed. Health Informatics
Priyan Malarvizhi Kumar, Choong Seon Hong, Fatemeh Afghah, Gunasekaran Manogaran, Keping Yu, Qiaozhi Hua, Jiechao Gao
2022 J jnl
Deep Learning-Based Service Distribution Model for Wireless Network Assisted Internet of Everything.
IEEE Trans. Netw. Sci. Eng.
Gunasekaran Manogaran, Tu N. Nguyen, Jiechao Gao, Priyan Malarvizhi Kumar
2022 J jnl
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting.
CoRR
Berend Jelmer Dirk Gort, Xiao-Yang Liu, Xinghang Sun, Jiechao Gao, Shuaiyu Chen, Christina Dan Wang
2022 J jnl
DeepResGRU: Residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition.
Knowl. Based Syst.
Nasir Saleem, Jiechao Gao, Muhammad Irfan Khattak, Hafiz Tayyab Rauf, Seifedine Kadry, Muhammad Shafi
2022 J jnl
E2E-V2SResNet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis.
Image Vis. Comput.
Nasir Saleem, Jiechao Gao, Muhammad Irfan, Elena Verdú, Javier Parra Fuente
2022 A* conf
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning.
NeurIPS
Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2022 J jnl
Graph Neural Networks in IoT: A Survey.
CoRR
Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
2022 Misc conf
PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data.
SenSys
Jiechao Gao, Mingyue Tang, Tianhao Wang, Bradford Campbell
2022 — conf
Poster Abstract: Residential Energy Management System Using Personalized Federated Deep Reinforcement learning.
IPSN
Jiechao Gao, Wenpeng Wang, Bradford Campbell
2022 J jnl
Redemptive Resource Sharing and Allocation Scheme for Internet of Things-Assisted Smart Healthcare Systems.
IEEE J. Biomed. Health Informatics
Jiechao Gao, Tu N. Nguyen, Gunasekaran Manogaran, Ankit Chaudhary, Gai-Ge Wang
2022 J jnl
Regularized sparse features for noisy speech enhancement using deep neural networks.
Comput. Electr. Eng.
Muhammad Irfan Khattak, Nasir Saleem, Jiechao Gao, Elena Verdú, Javier Parra Fuente
2022 J jnl
Task Failure Prediction in Cloud Data Centers Using Deep Learning.
IEEE Trans. Serv. Comput.
Jiechao Gao, Haoyu Wang, Haiying Shen
2022 J jnl
Transfer Learning-Aided Collaborative Computational Method for Intelligent Transportation System Applications.
IEEE Trans. Green Commun. Netw.
Tu N. Nguyen, Jiechao Gao, Gunasekaran Manogaran, R. Dinesh Jackson Samuel, Mamoun Alazab
2022 J jnl
Trust-aware denoising autoencoder with spatial-temporal activity for cross-domain personalized recommendations.
Neurocomputing
Adeel Ahmed, Khalid Saleem, Osman Khalid, Jiechao Gao, Umer Rashid
2021 — conf
BLE Can See: A Reinforcement Learning Approach for RF-based Indoor Occupancy Detection.
IPSN
Md Fazlay Rabbi Masum Billah, Nurani Saoda, Jiechao Gao, Bradford Campbell
2021 Misc conf
Decentralized Federated Learning Framework for the Neighborhood: A Case Study on Residential Building Load Forecasting.
SenSys
Jiechao Gao, Wenpeng Wang, Zetian Liu, Md Fazlay Rabbi Masum Billah, Bradford Campbell
2021 J jnl
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance.
CoRR
Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo
2021 J jnl
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance.
CoRR
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang
2021 — conf
FinRL: deep reinforcement learning framework to automate trading in quantitative finance.
ICAIF
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang
2021 B conf
Multi-Agent Reinforcement Learning based Distributed Renewable Energy Matching for Datacenters.
ICPP
Haoyu Wang, Haiying Shen, Jiechao Gao, Kevin Zheng, Xiaoying Li
2021 J jnl
OBPP: An ontology-based framework for privacy-preserving in IoT-based smart city.
Future Gener. Comput. Syst.
Mehdi Gheisari, Hamid Esmaeili Najafabadi, Jafar Ahmad Abed Alzubi, Jiechao Gao, Guojun Wang, Aaqif Afzaal Abbasi, Aniello Castiglione
2021 — conf
The smart building privacy challenge.
BuildSys
Tong Wu, Murtadha Aldeer, Tahiya Chowdhury, Amber Haynes, Fateme Nikseresht, Mahsa Pahlavikhah Varnosfaderani, Jiechao Gao, Arsalan Heydarian, Brad Campbell, Jorge Ortiz
2021 — conf
UbiTrack: enabling scalable & low-cost device localization with onboard wifi.
BuildSys
Wenpeng Wang, Zetian Liu, Jiechao Gao, Nurani Saoda, Bradford Campbell
2020 B conf
Machine Learning Based Workload Prediction in Cloud Computing.
ICCCN
Jiechao Gao, Haoyu Wang, Haiying Shen
2020 A conf
Smartly Handling Renewable Energy Instability in Supporting A Cloud Datacenter.
IPDPS
Jiechao Gao, Haoyu Wang, Haiying Shen
2019 — conf
Task Failure Prediction in Cloud Data Centers Using Deep Learning.
IEEE BigData
Jiechao Gao, Haoyu Wang, Haiying Shen