Jiaming Huang

Orcid: 0009-0008-1461-3664

According to our database1, Jiaming Huang authored at least 33 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning.
ACM Trans. Knowl. Discov. Data, May, 2024

The g-Good-Neighbor Conditional Diagnosabilities of Hypermesh Optical Interconnection Networks Under the PMC and Comparison Models.
Int. J. Found. Comput. Sci., April, 2024

A graph-powered large-scale fraud detection system.
Int. J. Mach. Learn. Cybern., January, 2024

Real-time E-bike Route Planning with Battery Range Prediction.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Home health care routing and scheduling in densely populated communities considering complex human behaviours.
Comput. Ind. Eng., August, 2023

Personalized Federated Learning on Non-IID Data via Group-based Meta-learning.
ACM Trans. Knowl. Discov. Data, May, 2023

Multiscale feature cross-layer fusion remote sensing target detection method.
IET Signal Process., March, 2023

Dual-Cell Recurrent Network for Target-Oriented Opinion Word Extraction on Global Fields.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Elastic DNN Inference with Unpredictable Exit in Edge Computing.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs with ChatGPT.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022
eRiskCom: an e-commerce risky community detection platform.
VLDB J., 2022

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.
ACM Trans. Inf. Syst., 2022

HFOD: A hardware-friendly quantization method for object detection on embedded FPGAs.
IEICE Electron. Express, 2022

VSLink: A Fast and Pervasive Approach to Physical Cyber Space Interaction via Visual SLAM.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

2021
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI.
IEEE Internet Things J., 2021

Large-scale online multi-view graph neural network and applications.
Future Gener. Comput. Syst., 2021

What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline.
Proceedings of the Companion of The Web Conference 2021, 2021

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MADC: Multi-scale Attention-based Deep Clustering for Workload Prediction.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Large-scale Fake Click Detection for E-commerce Recommendation Systems.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Enhanced-XGB: An Online Service Resource Demand Forecasting Method for Colocation Data Centers.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Graph Computing System and Application Based on Large-Scale Information Network.
Proceedings of the Space Information Network, 2020

Collaboration Based Multi-Label Propagation for Fraud Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

RLSK: A Job Scheduler for Federated Kubernetes Clusters based on Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Cloud Engineering, 2020

Link Inference via Heterogeneous Multi-view Graph Neural Networks.
Proceedings of the Database Systems for Advanced Applications, 2020

Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling.
Proceedings of the Database Systems for Advanced Applications, 2020

Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
MV-GCN: Multi-View Graph Convolutional Networks for Link Prediction.
IEEE Access, 2019

Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach.
Proceedings of the World Wide Web Conference, 2019

Detecting Anomalies in Cluster System Using Hybrid Deep Learning Model.
Proceedings of the Parallel Architectures, Algorithms and Programming, 2019

Unsupervised Deep Fusion Cross-modal Hashing.
Proceedings of the International Conference on Multimodal Interaction, 2019

2018
Unsupervised Multi-view Nonlinear Graph Embedding.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning Network Representations with Neighboring Affinity.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018


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