We stand with Ukraine

We stand with Ukraine

Jiaming Huang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

An aspect-opinion joint extraction model for target-oriented opinion words extraction on global space.

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Appl. Intell., January, 2025

2024

Elastic DNN Inference With Unpredictable Exit in Edge Computing.

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IEEE Trans. Mob. Comput., December, 2024

SOD-diffusion: Salient Object Detection via Diffusion-Based Image Generators.

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Comput. Graph. Forum, October, 2024

ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs.

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Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., August, 2024

Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning.

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ACM Trans. Knowl. Discov. Data, May, 2024

The g-Good-Neighbor Conditional Diagnosabilities of Hypermesh Optical Interconnection Networks Under the PMC and Comparison Models.

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Int. J. Found. Comput. Sci., April, 2024

A graph-powered large-scale fraud detection system.

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Int. J. Mach. Learn. Cybern., January, 2024

An Empirical Study on Focal Methods in Deep-Learning-Based Approaches for Assertion Generation.

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Proc. ACM Softw. Eng., 2024

Incorporating emoji sentiment information into a pre-trained language model for Chinese and English sentiment analysis.

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Intell. Data Anal., 2024

An evolutionary approach to extreme individual impact opinions based on time sunk costs.

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Intell. Data Anal., 2024

Few-shot intent detection with mutual information and contrastive learning.

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Appl. Soft Comput., 2024

Unlocking the Non-deterministic Computing Power with Memory-Elastic Multi-Exit Neural Networks.

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Proceedings of the ACM on Web Conference 2024, 2024

Real-time E-bike Route Planning with Battery Range Prediction.

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Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

ZAN: Using Zone-weight Aware Data Layout and NVM to Improve the Performance of Drive-Managed SMR.

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Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, 2024

SP-NCE: Social-Aware Predictive Robot Navigation Based Contrastive Learning.

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Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence, 2024

Kale: Elastic GPU Scheduling for Online DL Model Training.

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Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

Informative Sample Labeling with Conditional Variational Deep Embedding for Active Learning.

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Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023

Home health care routing and scheduling in densely populated communities considering complex human behaviours.

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Comput. Ind. Eng., August, 2023

Personalized Federated Learning on Non-IID Data via Group-based Meta-learning.

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ACM Trans. Knowl. Discov. Data, May, 2023

Multiscale feature cross-layer fusion remote sensing target detection method.

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IET Signal Process., March, 2023

Dual-Cell Recurrent Network for Target-Oriented Opinion Word Extraction on Global Fields.

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Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs with ChatGPT.

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Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022

eRiskCom: an e-commerce risky community detection platform.

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VLDB J., 2022

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.

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ACM Trans. Inf. Syst., 2022

HFOD: A hardware-friendly quantization method for object detection on embedded FPGAs.

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IEICE Electron. Express, 2022

VSLink: A Fast and Pervasive Approach to Physical Cyber Space Interaction via Visual SLAM.

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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.

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IEEE Internet Things J., 2021

Large-scale online multi-view graph neural network and applications.

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Future Gener. Comput. Syst., 2021

What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline.

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Proceedings of the Companion of The Web Conference 2021, 2021

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach.

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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.

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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.

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Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Enhanced-XGB: An Online Service Resource Demand Forecasting Method for Colocation Data Centers.

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Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Graph Computing System and Application Based on Large-Scale Information Network.

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Proceedings of the Space Information Network, 2020

Collaboration Based Multi-Label Propagation for Fraud Detection.

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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

RLSK: A Job Scheduler for Federated Kubernetes Clusters based on Reinforcement Learning.

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Proceedings of the 2020 IEEE International Conference on Cloud Engineering, 2020

Link Inference via Heterogeneous Multi-view Graph Neural Networks.

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Proceedings of the Database Systems for Advanced Applications, 2020

Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling.

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Proceedings of the Database Systems for Advanced Applications, 2020

Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction.

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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.

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IEEE Access, 2019

Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach.

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Proceedings of the World Wide Web Conference, 2019

Detecting Anomalies in Cluster System Using Hybrid Deep Learning Model.

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Proceedings of the Parallel Architectures, Algorithms and Programming, 2019

Unsupervised Deep Fusion Cross-modal Hashing.

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Proceedings of the International Conference on Multimodal Interaction, 2019

2018

Unsupervised Multi-view Nonlinear Graph Embedding.

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Vincent W. Zheng

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Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning Network Representations with Neighboring Affinity.

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Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

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