Zaixi Zhang
Cited by
Cited by
Backdoor attacks to graph neural networks
Z Zhang, J Jia, B Wang, NZ Gong
Proceedings of the 26th ACM Symposium on Access Control Models and …, 2021
Motif-based graph self-supervised learning for molecular property prediction
Z Zhang, Q Liu, H Wang, C Lu, CK Lee
Advances in Neural Information Processing Systems 34, 15870-15882, 2021
ProtGNN: Towards Self-Explaining Graph Neural Networks
Z Zhang, Q Liu, H Wang, C Lu, C Lee
AAAI 2022, 2021
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
Z Zhang, X Cao, J Jia, NZ Gong
KDD 2022, arXiv: 2207.09209, 2022
GraphMI: Extracting Private Graph Data from Graph Neural Networks
Z Zhang, Q Liu, Z Huang, H Wang, C Lu, C Liu, E Chen
IJCAI'21, 2021
Hierarchical Graph Transformer with Adaptive Node Sampling
Z Zhang, Q Liu, Q Hu, CK Lee
NeurIPS 2022, 2022
Flcert: Provably secure federated learning against poisoning attacks
X Cao, Z Zhang, J Jia, NZ Gong
IEEE Transactions on Information Forensics and Security 17, 3691-3705, 2022
Model inversion attacks against graph neural networks
Z Zhang, Q Liu, Z Huang, H Wang, CK Lee, E Chen
IEEE Transactions on Knowledge and Data Engineering, 2022
Fedrecover: Recovering from poisoning attacks in federated learning using historical information
X Cao, J Jia, Z Zhang, NZ Gong
2023 IEEE Symposium on Security and Privacy (SP), 1366-1383, 2023
Molecule Generation For Target Protein Binding with Structural Motifs
Z ZHANG, Y Min, S Zheng, Q Liu
The Eleventh International Conference on Learning Representations, 2023
Untargeted attack against federated recommendation systems via poisonous item embeddings and the defense
Y Yu, Q Liu, L Wu, R Yu, SL Yu, Z Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4854-4863, 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
Z Zhang, Q Liu
ICML 2023, 2023
Graph Self-Supervised Learning for Optoelectronic Properties of Organic Semiconductors
Z Zhang, Q Liu, S Zhang, CY Hsieh, L Shi, CK Lee
ICML AI4Science Workshop, 2021
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design
Z Zhang, J Yan, Q Liu, E Che
arXiv preprint arXiv:2306.11768, 2023
Backdoor Defense via Deconfounded Representation Learning
Z Zhang, Q Liu, Z Wang, Z Lu, Q Hu
CVPR 2023, 2023
An equivariant generative framework for molecular graph-structure Co-design
Z Zhang, Q Liu, CK Lee, CY Hsieh, E Chen
Chemical Science 14 (31), 8380-8392, 2023
Implementation of fldetector
Z Zhang, X Cao, J Jia, NZ Gong
Differentiable Optimized Product Quantization and Beyond
Z Lu, D Lian, J Zhang, Z Zhang, C Feng, H Wang, E Chen
Proceedings of the ACM Web Conference 2023, 3353-3363, 2023
Sparse Attention-Based Neural Networks for Code Classification
Z Xiang, Z Zhang, Q Liu
arXiv preprint arXiv:2311.06575, 2023
Mapping the intermolecular interaction universe through self-supervised learning on molecular crystals
A Fang, Z ZHANG, M Zitnik
NeurIPS 2023 AI for Science Workshop, 2023
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