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Jiaming Huang
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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) - [c24]Ziyang Liu, Renyu Yang, Jin Ouyang, Weihan Jiang, Tianyu Ye, Menghao Zhang, Sui Huang, Jiaming Huang, Chengru Song, Di Zhang, Tianyu Wo, Chunming Hu:
Kale: Elastic GPU Scheduling for Online DL Model Training. SoCC 2024: 36-51 - [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 2024-11-19 20:49 CET by the dblp team
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