Jiawei Liu

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	Hepsi	2020 yılından bugüne
Alıntılar	336	336
h-endeksi	5	5
i10-endeksi	5	5

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Chuan ShiBeijing University of Posts and Telecommunicationsbupt.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Cheng YangBeijing University of Posts and Telecommunicationsbupt.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Philip S. YuProfessor of Computer Science, University of Illinons at Chicagocs.uic.edu üzerinde doğrulanmış e-posta adresine sahip
Lichao "James" SunAssistant Professor of Computer Science, Lehigh Universitylehigh.edu üzerinde doğrulanmış e-posta adresine sahip
Yuan FANGAssistant Professor, School of Computing and Information Systems, Singapore Management Universitysmu.edu.sg üzerinde doğrulanmış e-posta adresine sahip
Ting BaiBeijing University of Posts and Telecommunicationsbupt.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Xiao WangProfessor, Beihang Universitybuaa.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Shaohua FanTsinghua, Research Assistanttsinghua.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Kun KuangZhejiang Universityzju.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Jianwang ZhaiBeijing University of Posts and Telecommunicationsbupt.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Hongzhi YinProfessor and ARC Future Fellow, University of Queenslanduq.edu.au üzerinde doğrulanmış e-posta adresine sahip
Bei YuThe Chinese University of Hong Kongcse.cuhk.edu.hk üzerinde doğrulanmış e-posta adresine sahip
Zhe LinAssistant Professor, the School of Integrated Circuits, Sun Yat-sen University, Chinamail.sysu.edu.cn üzerinde doğrulanmış e-posta adresine sahip

Takip et

Jiawei Liu

PhD Student, Beijing University of Posts and Telecommunications

bupt.edu.cn üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Graph Neural Networks Foundation Model Neuro-Symbolic AI Trustworthy AI AI for EDA


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework C Yang, J Liu, C Shi Proceedings of the Web Conference 2021, 1227--1237, 2021	150	2021
Towards graph foundation models: A survey and beyond J Liu, C Yang, Z Lu, J Chen, Y Li, M Zhang, T Bai, Y Fang, L Sun, PS Yu, ... arXiv preprint arXiv:2310.11829, 2023	84	2023
A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources J Liu, C Shi, C Yang, Z Lu, PS Yu AI Open 3 (2022), 40-57, 2022	53	2022
Decorrelated Clustering with Data Selection Bias X Wang, S Fan, K Kuang, C Shi, J Liu, B Wang Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020	17	2020
Learning to distill graph neural networks C Yang, Y Guo, Y Xu, C Shi, J Liu, C Wang, X Li, N Guo, H Yin Proceedings of the sixteenth ACM international conference on web search and …, 2023	10	2023
基于异质信息网络的推荐系统研究综述刘佳玮，石川，杨成，菲利普信息安全学报 6 (5), 1-16, 2021	5	2021
Heterogeneous spatio-temporal graph contrastive learning for point-of-interest recommendation J Liu, H Gao, C Yang, C Shi, T Yang, H Cheng, Q Xie, X Wang, D Wang Tsinghua Science and Technology 30 (1), 186-197, 2024	4	2024
Self-Supervised Spatio-Temporal Graph Learning for Point-of-Interest Recommendation J Liu, H Gao, C Shi, H Cheng, Q Xie Applied Sciences 13 (15), 8885, 2023	4	2023
Endowing Pre-trained Graph Models with Provable Fairness Z Zhang, M Zhang, Y Yu, C Yang, J Liu, C Shi Proceedings of the ACM on Web Conference 2024, 1045-1056, 2024	3	2024
Abnormal event detection via hypergraph contrastive learning B Yan, C Yang, C Shi, J Liu, X Wang Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023	3	2023
Graph foundation model C Shi, J Chen, J Liu, C Yang Frontiers of Computer Science 18 (6), 186355, 2024	2	2024
PGAU: Static IR Drop Analysis for Power Grid using Attention U-Net Architecture and Label Distribution Smoothing F Guo, J Liu, J Zhai, J Jia, K Zhao, C Shi Proceedings of the Great Lakes Symposium on VLSI 2024, 452-458, 2024	1	2024
IR-Fusion: A Fusion Framework for Static IR Drop Analysis Combining Numerical Solution and Machine Learning F Guo, J Zhai, J Jia, J Liu, K Zhao, B Yu, C Shi IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), 2025		2025
PolarGate: Breaking the Functionality Representation Bottleneck of And-Inverter Graph Neural Network J Liu, J Zhai, M Zhao, Z Lin, B Yu, C Shi		2024
Graph neural network based time estimator for SAT solver J Liu, W Xiao, H Cheng, C Shi International Journal of Machine Learning and Cybernetics, 1-12, 2024		2024
SATGL: An Open-Source Graph Learning Toolkit for Boolean Satisfiability HT Cheng, J Liu, J Zhai, M Zhao, C Yang, C Shi 2024 2nd International Symposium of Electronics Design Automation (ISEDA …, 2024		2024

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