Zhao Li
Zhao Li
Adjunct Professor, Zhejiang University, Link2Do Tech, Zhejiang Lab, Alibaba Group
Verified email at - Homepage
Cited by
Cited by
Anomaly detection on attributed networks via contrastive self-supervised learning
Y Liu, Z Li, S Pan, C Gong, C Zhou, G Karypis
IEEE transactions on neural networks and learning systems 33 (6), 2378-2392, 2021
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN.
L Zheng, Z Li, J Li, Z Li, J Gao
IJCAI 3, 7, 2019
Nonnegative matrix factorization on orthogonal subspace
Z Li, X Wu, H Peng
Pattern Recognition Letters 31 (9), 905-911, 2010
efraudcom: An e-commerce fraud detection system via competitive graph neural networks
G Zhang, Z Li, J Huang, J Wu, C Zhou, J Yang, J Gao
ACM Transactions on Information Systems (TOIS) 40 (3), 1-29, 2022
Personalized bundle list recommendation
J Bai, C Zhou, J Song, X Qu, W An, Z Li, J Gao
The World Wide Web Conference, 60-71, 2019
Modeling data, information and knowledge for security protection of hybrid IoT and edge resources
Y Duan, X Sun, H Che, C Cao, Z Li, X Yang
Ieee Access 7, 99161-99176, 2019
Feature-induced partial multi-label learning
G Yu, X Chen, C Domeniconi, J Wang, Z Li, Z Zhang, X Wu
2018 IEEE international conference on data mining (ICDM), 1398-1403, 2018
Hierarchical bipartite graph neural networks: Towards large-scale e-commerce applications
Z Li, X Shen, Y Jiao, X Pan, P Zou, X Meng, C Yao, J Bu
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1677-1688, 2020
Activehne: Active heterogeneous network embedding
X Chen, G Yu, J Wang, C Domeniconi, Z Li, X Zhang
arXiv preprint arXiv:1905.05659, 2019
Poisonrec: an adaptive data poisoning framework for attacking black-box recommender systems
J Song, Z Li, Z Hu, Y Wu, Z Li, J Li, J Gao
2020 IEEE 36th International Conference on Data Engineering (ICDE), 157-168, 2020
MGNN: A multimodal graph neural network for predicting the survival of cancer patients
J Gao, T Lyu, F Xiong, J Wang, W Ke, Z Li
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Online active learning for drifting data streams
S Liu, S Xue, J Wu, C Zhou, J Yang, Z Li, J Cao
IEEE Transactions on Neural Networks and Learning Systems 34 (1), 186-200, 2021
Online e-commerce fraud: a large-scale detection and analysis
H Weng, Z Li, S Ji, C Chu, H Lu, T Du, Q He
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1435-1440, 2018
Chatgpt is not enough: Enhancing large language models with knowledge graphs for fact-aware language modeling
L Yang, H Chen, Z Li, X Ding, X Wu
arXiv preprint arXiv:2306.11489, 2023
Group feature selection with streaming features
H Li, X Wu, Z Li, W Ding
2013 IEEE 13th International Conference on Data Mining, 1109-1114, 2013
Are graph convolutional networks with random weights feasible?
C Huang, M Li, F Cao, H Fujita, Z Li, X Wu
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2751-2768, 2022
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events.
T Lyu, J Gao, L Tian, Z Li, P Zhang, J Zhang
Ijcai 2021, 3536-3542, 2021
ICS-GNN: lightweight interactive community search via graph neural network
J Gao, J Chen, Z Li, J Zhang
Proceedings of the VLDB Endowment 14 (6), 1006-1018, 2021
Hierarchical multi-view graph pooling with structure learning
Z Zhang, J Bu, M Ester, J Zhang, Z Li, C Yao, H Dai, Z Yu, C Wang
IEEE Transactions on Knowledge and Data Engineering 35 (1), 545-559, 2021
GraphScope: a unified engine for big graph processing
W Fan, T He, L Lai, X Li, Y Li, Z Li, Z Qian, C Tian, L Wang, J Xu, Y Yao, ...
Proceedings of the VLDB Endowment 14 (12), 2879-2892, 2021
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