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ORCIDJiaming Huang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j15]Shun Yang, Yajun Du, Jiaming Huang, Xianyong Li, Shangyi Du, Jia Liu, Yanli Li:
Few-shot intent detection with mutual information and contrastive learning. Appl. Soft Comput. 167: 112338 (2024)- [j14]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): 313-325 (2024) - [j13]Yi Gao, Kaijie Xiao, Fu Li, Weifeng Xu, Jiaming Huang, Wei Dong:
ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 103:1-103:29 (2024) - [j12]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): 115-128 (2024) - [j11]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): 1750-1771 (2024) - [j10]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): 99:1-99:21 (2024) - [c23]Xinghui Jing, Yihan Xie, Jiaming Huang, Long Zeng, Tao Zhang:
SP-NCE: Social-Aware Predictive Robot Navigation Based Contrastive Learning. ICCAI 2024: 345-350 - [c22]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: 1070-1073 - [c21]Jiaming Huang, Yi Gao, Wei Dong:
Unlocking the Non-deterministic Computing Power with Memory-Elastic Multi-Exit Neural Networks. WWW 2024: 2777-2785 - 2023
- [j9]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: 109332 (2023) - [j8]Yuting Lin, Jianxun Zhang, Jiaming Huang:
Multiscale feature cross-layer fusion remote sensing target detection method. IET Signal Process. 17(3) (2023) - [j7]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): 49:1-49:20 (2023) - [c20]Fu Li, Jiaming Huang, Yi Gao, Wei Dong:
ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs with ChatGPT. APNet 2023: 219-220 - [c19]Jiaming Huang, Yi Gao, Wei Dong:
Elastic DNN Inference with Unpredictable Exit in Edge Computing. ICDCS 2023: 293-304 - [c18]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: 2126-2131 - 2022
- [j6]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): 20220067 (2022) - [j5]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): 47:1-47:29 (2022) - [j4]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): 1085-1101 (2022) - [c17]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: 271-278 - 2021
- [j3]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: 145-155 (2021) - [j2]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): 11290-11304 (2021) - [c16]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: 436-444 - [c15]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: 2595-2606 - [c14]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: 316-323 - [c13]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: 3670-3678 - [c12]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: 105-113 - 2020
- [c11]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: 2693-2700 - [c10]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: 673-684 - [c9]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: 698-706 - [c8]Jiaming Huang, Chuming Xiao, Weigang Wu:
RLSK: A Job Scheduler for Federated Kubernetes Clusters based on Reinforcement Learning. IC2E 2020: 116-123 - [c7]Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen:
Collaboration Based Multi-Label Propagation for Fraud Detection. IJCAI 2020: 2477-2483 - [c6]Jingbo Xu, Zhao Li, Weibin Zeng, Jiaming Huang:
Graph Computing System and Application Based on Large-Scale Information Network. SINC 2020: 158-178 - [i1]Lei Yang, Yanyan Lu, Jiannong Cao, Jiaming Huang, Mingjin Zhang:
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI. CoRR abs/2008.01553 (2020)
2010 – 2019
- 2019
- [j1]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: 176317-176328 (2019) - [c5]Jiaming Huang, Chen Min, Liping Jing:
Unsupervised Deep Fusion Cross-modal Hashing. ICMI 2019: 358-366 - [c4]Chuming Xiao, Jiaming Huang, Weigang Wu:
Detecting Anomalies in Cluster System Using Hybrid Deep Learning Model. PAAP 2019: 393-404 - [c3]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: 616-626 - 2018
- [c2]Zhao Li, Jiaming Huang, Donghui Ding:
Learning Network Representations with Neighboring Affinity. ICDM Workshops 2018: 1038-1045 - [c1]Jiaming Huang, Zhao Li, Vincent W. Zheng, Wen Wen, Yifan Yang, Yuanmi Chen:
Unsupervised Multi-view Nonlinear Graph Embedding. UAI 2018: 319-328
Coauthor Index
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last updated on 2024-10-30 21:35 CET by the dblp team
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