Jiaming Huang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Densely Populated

Fraud Detection

Top Venues

ACM Trans. Knowl. Discov. Data

Future Gener. Comput. Syst.

Publications

Zhao Li, Biao Wang, Jiaming Huang, Yilun Jin, Zenghui Xu, Ji Zhang, Jianliang Gao
A graph-powered large-scale fraud detection system. Int. J. Mach. Learn. Cybern. 15 (1) (2024)
Yibo He, Jiaming Huang, Hao Yu, Tao Xie
An Empirical Study on Focal Methods in Deep-Learning-Based Approaches for Assertion Generation. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Jingke Tu, Jiaming Huang, Lei Yang, Wanyu Lin
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Jiaming Huang, Yi Gao, Wei Dong
Unlocking the Non-deterministic Computing Power with Memory-Elastic Multi-Exit Neural Networks. WWW (2024)
Xianyong Li, Jiaming Huang, Yajun Du, Yongquan Fan, Xiaoliang Chen
The g-Good-Neighbor Conditional Diagnosabilities of Hypermesh Optical Interconnection Networks Under the PMC and Comparison Models. Int. J. Found. Comput. Sci. 35 (3) (2024)
Zhao Li, Guoqi Ren, Yongchun Gu, Siwei Zhou, Xuanwu Liu, Jiaming Huang, Ming Li
Real-time E-bike Route Planning with Battery Range Prediction. WSDM (2024)
Yuting Lin, Jianxun Zhang, Jiaming Huang
Multiscale feature cross-layer fusion remote sensing target detection method. IET Signal Process. 17 (3) (2023)
Jiaming Huang, Xianyong Li, Yajun Du, Chunzhi Xie, Xiaoliang Chen, Yongquan Fan
Dual-Cell Recurrent Network for Target-Oriented Opinion Word Extraction on Global Fields. SMC (2023)
Lei Yang, Jiaming Huang, Wanyu Lin, Jiannong Cao
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Ting Zhang, Yang Liu, Xintong Yang, Jingjing Chen, Jiaming Huang
Home health care routing and scheduling in densely populated communities considering complex human behaviours. Comput. Ind. Eng. 182 (2023)
Jiaming Huang, Yi Gao, Wei Dong
Elastic DNN Inference with Unpredictable Exit in Edge Computing. ICDCS (2023)
Fu Li, Jiaming Huang, Yi Gao, Wei Dong
ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs with ChatGPT. APNet (2023)
Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng
eRiskCom: an e-commerce risky community detection platform. VLDB J. 31 (5) (2022)
Fei Zhang, Ziyang Gao, Jiaming Huang, Peining Zhen, Hai-Bao Chen, Jie Yan
HFOD: A hardware-friendly quantization method for object detection on embedded FPGAs. IEICE Electron. Express 19 (8) (2022)
Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. ACM Trans. Inf. Syst. 40 (3) (2022)
Han Zhou, Jiaming Huang, Hongchang Fan, Geng Ren, Yi Gao, Wei Dong
VSLink: A Fast and Pervasive Approach to Physical Cyber Space Interaction via Visual SLAM. MSN (2022)
Zhao Li, Yuying Xing, Jiaming Huang, Haobo Wang, Jianliang Gao, Guoxian Yu
Large-scale online multi-view graph neural network and applications. Future Gener. Comput. Syst. 116 (2021)
Jingdong Li, Zhao Li, Jiaming Huang, Ji Zhang, Xiaoling Wang, Xingjian Lu, Jingren Zhou
Large-scale Fake Click Detection for E-commerce Recommendation Systems. ICDE (2021)
Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. KDD (2021)
Lei Yang, Yanyan Lu, Jiannong Cao, Jiaming Huang, Mingjin Zhang
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI. IEEE Internet Things J. 8 (14) (2021)
Zhao Li, Pengrui Hui, Peng Zhang, Jiaming Huang, Biao Wang, Ling Tian, Ji Zhang, Jianliang Gao, Xing Tang
What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. WWW (Companion Volume) (2021)
Chuming Xiao, Jiaming Huang, Weigang Wu, Ye Yin, Hongli Chang
Enhanced-XGB: An Online Service Resource Demand Forecasting Method for Colocation Data Centers. CCGRID (2021)
Jiaming Huang, Chuming Xiao, Weigang Wu, Ye Yin, Hongli Chang
MADC: Multi-scale Attention-based Deep Clustering for Workload Prediction. ISPA/BDCloud/SocialCom/SustainCom (2021)
Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao
Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. CIKM (2020)
Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Jiaming Huang, Pengrui Hui, Jun Gao, Ji Zhang, Zujie Ren
Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling. DASFAA (3) (2020)
Yuying Xing, Zhao Li, Pengrui Hui, Jiaming Huang, Xia Chen, Long Zhang, Guoxian Yu
Link Inference via Heterogeneous Multi-view Graph Neural Networks. DASFAA (1) (2020)
Lei Yang, Yanyan Lu, Jiannong Cao, Jiaming Huang, Mingjin Zhang
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI. CoRR (2020)
Jiaming Huang, Chuming Xiao, Weigang Wu
RLSK: A Job Scheduler for Federated Kubernetes Clusters based on Reinforcement Learning. IC2E (2020)
Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen
Collaboration Based Multi-Label Propagation for Fraud Detection. IJCAI (2020)
Jingbo Xu, Zhao Li, Weibin Zeng, Jiaming Huang
Graph Computing System and Application Based on Large-Scale Information Network. SINC (2020)
Zhao Li, Zhanlin Liu, Jiaming Huang, Geyu Tang, Yucong Duan, Zhiqiang Zhang, Yifan Yang
MV-GCN: Multi-View Graph Convolutional Networks for Link Prediction. IEEE Access 7 (2019)
Chuming Xiao, Jiaming Huang, Weigang Wu
Detecting Anomalies in Cluster System Using Hybrid Deep Learning Model. PAAP (2019)
Qingyu Guo, Zhao Li, Bo An, Pengrui Hui, Jiaming Huang, Long Zhang, Mengchen Zhao
Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. WWW (2019)
Jiaming Huang, Chen Min, Liping Jing
Unsupervised Deep Fusion Cross-modal Hashing. ICMI (2019)
Jiaming Huang, Zhao Li, Vincent W. Zheng, Wen Wen, Yifan Yang, Yuanmi Chen
Unsupervised Multi-view Nonlinear Graph Embedding. UAI (2018)
Zhao Li, Jiaming Huang, Donghui Ding
Learning Network Representations with Neighboring Affinity. ICDM Workshops (2018)