Jinliang Yuan

According to our database, Jinliang Yuan authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels.

Jinliang Yuan, Hualei Yu, Meng Cao, Jianqing Song, Junyuan Xie, Chongjun Wang

Appl. Intell., November, 2023

Self-supervised short text classification with heterogeneous graph neural networks.

Meng Cao, Jinliang Yuan, Hualei Yu, Baoming Zhang, Chongjun Wang

Expert Syst. J. Knowl. Eng., July, 2023

Rethinking Mobile AI Ecosystem in the LLM Era.

Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu

CoRR, 2023

Evaluating and Enhancing the Robustness of Federated Learning System against Realistic Data Corruption.

Chen Yang, Yuanchun Li, Hao Lu, Jinliang Yuan, Qibo Sun, Shangguang Wang, Mengwei Xu

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Privacy as a Resource in Differentially Private Federated Learning.

Jinliang Yuan, Shangguang Wang, Shihe Wang, Yuanchun Li, Xiao Ma, Ao Zhou, Mengwei Xu

Proceedings of the IEEE INFOCOM 2023, 2023

FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction.

Meng Cao, Jianqing Song, Jinliang Yuan, Baoming Zhang, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Not all edges are peers: Accurate structure-aware graph pooling networks.

Hualei Yu, Jinliang Yuan, Yirong Yao, Chongjun Wang

Neural Networks, 2022

A unified structure learning framework for graph attention networks.

Jinliang Yuan, Meng Cao, Hao Cheng, Hualei Yu, Junyuan Xie, Chongjun Wang

Neurocomputing, 2022

Graph structure learning based on feature and label consistency.

Jinliang Yuan, Yirong Yao, Ming Xu, Hualei Yu, Junyuan Xie, Chongjun Wang

Intell. Data Anal., 2022

Melon: breaking the memory wall for resource-efficient on-device machine learning.

Qipeng Wang, Mengwei Xu, Chao Jin, Xinran Dong, Jinliang Yuan, Xin Jin, Gang Huang, Yunxin Liu, Xuanzhe Liu

Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning.

Hualei Yu, Yirong Yao, Jinliang Yuan, Chongjun Wang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks.

Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network.

Meng Cao, Jinliang Yuan, Ming Xu, Hualei Yu, Chongjun Wang

IEEE Access, 2021

EPINE: Enhanced Proximity Information Network Embedding.

Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang

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

GSAPool: Gated Structure Aware Pooling for Graph Representation Learning.

Hualei Yu, Jinliang Yuan, Hao Cheng, Meng Cao, Chongjun Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks.

Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Hierarchical Federated Learning through LAN-WAN Orchestration.

Jinliang Yuan, Mengwei Xu, Xiao Ma, Ao Zhou, Xuanzhe Liu, Shangguang Wang

CoRR, 2020

2018

Maximizing the spread of influence via the collective intelligence of discrete bat algorithm.

Jianxin Tang, Ruisheng Zhang, Yabing Yao, Zhili Zhao, Ping Wang, Huan Li, Jinliang Yuan

Knowl. Based Syst., 2018