Takip et
Zaixi Zhang
Zaixi Zhang
Princeton University, Harvard University, University of Science and Technology of China
mail.ustc.edu.cn üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
3082021
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
2492022
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
2442021
ProtGNN: Towards Self-Explaining Graph Neural Networks
Z Zhang, Q Liu, H Wang, C Lu, C Lee
AAAI 2022, 2021
1562021
Hierarchical Graph Transformer with Adaptive Node Sampling
Z Zhang, Q Liu, Q Hu, CK Lee
NeurIPS 2022, 2022
922022
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
792021
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
782023
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
732022
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
482023
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
482023
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 35 (9), 8729-8741, 2022
402022
Backdoor Defense via Deconfounded Representation Learning
Z Zhang, Q Liu, Z Wang, Z Lu, Q Hu
CVPR 2023, 2023
352023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
Z Zhang, Q Liu
ICML 2023, 2023
332023
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
222023
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design
Z Zhang, J Yan, Q Liu, E Chen
arXiv preprint arXiv:2306.11768, 2023
182023
Full-atom protein pocket design via iterative refinement
Z Zhang, Z Lu, H Zhongkai, M Zitnik, Q Liu
Advances in Neural Information Processing Systems 36, 16816-16836, 2023
162023
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
H Li, M Wang, T Ma, S Liu, Z Zhang, PY Chen
arXiv preprint arXiv:2406.01977, 2024
132024
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
92021
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
Z Huang, L Yang, Z Zhang, X Zhou, Y Bao, X Zheng, Y Yang, Y Wang, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12671 …, 2024
82024
Deep geometry handling and fragment-wise molecular 3d graph generation
O Zhang, Y Huang, S Cheng, M Yu, X Zhang, H Lin, Y Zeng, M Wang, ...
arXiv preprint arXiv:2404.00014, 2024
72024
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