Zaixi Zhang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 41

Top Topics

Diffusion Model

Historical Information

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
Binding-Adaptive Diffusion Models for Structure-Based Drug Design. AAAI (2024)
Ouxiang Li, Yanbin Hao, Zhicai Wang, Bin Zhu, Shuo Wang, Zaixi Zhang, Fuli Feng
Model Inversion Attacks Through Target-Specific Conditional Diffusion Models. CoRR (2024)
Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo Gao, Qi Liu
FedGT: Federated Node Classification with Scalable Graph Transformer. CoRR (2024)
Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. CoRR (2024)
Kangyu Zheng, Yingzhou Lu, Zaixi Zhang, Zhongwei Wan, Yao Ma, Marinka Zitnik, Tianfan Fu
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate? CoRR (2024)
Odin Zhang, Yufei Huang, Shichen Cheng, Mengyao Yu, Xujun Zhang, Haitao Lin, Yundian Zeng, Mingyang Wang, Zhenxing Wu, Huifeng Zhao, Zaixi Zhang, Chenqing Hua, Yu Kang, Sunliang Cui, Peichen Pan, Chang-Yu Hsieh, Tingjun Hou
Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation. CoRR (2024)
Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
Binding-Adaptive Diffusion Models for Structure-Based Drug Design. CoRR (2024)
Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. SP (2023)
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen
Model Inversion Attacks Against Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking. CoRR (2023)
Zaixi Zhang, Qi Liu, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design. CoRR (2023)
Zaixi Zhang, Qi Liu
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design. ICML (2023)
Zaixi Zhang, Zepu Lu, Zhongkai Hao, Marinka Zitnik, Qi Liu
Full-Atom Protein Pocket Design via Iterative Refinement. NeurIPS (2023)
Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu
Backdoor Defense via Deconfounded Representation Learning. CVPR (2023)
Zaixi Zhang, Jiaxian Yan, Qi Liu, Enhong Chen
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design. CoRR (2023)
Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu
Backdoor Defense via Deconfounded Representation Learning. CoRR (2023)
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. AAAI (2023)
Jiaxian Yan, Zaixi Zhang, Kai Zhang, Qi Liu
Multi-scale Iterative Refinement towards Robust and Versatile Molecular Docking. CoRR (2023)
Zaixi Zhang, Qi Liu
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design. CoRR (2023)
Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking. NeurIPS (2023)
Ziyang Xiang, Zaixi Zhang, Qi Liu
Sparse Attention-Based Neural Networks for Code Classification. CoRR (2023)
Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen
Differentiable Optimized Product Quantization and Beyond. WWW (2023)
Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen
Knowledge Distillation for High Dimensional Search Index. NeurIPS (2023)
Zaixi Zhang, Yaosen Min, Shuxin Zheng, Qi Liu
Molecule Generation For Target Protein Binding with Structural Motifs. ICLR (2023)
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen
Model Inversion Attacks against Graph Neural Networks. CoRR (2022)
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. CoRR (2022)
Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong
FLCert: Provably Secure Federated Learning against Poisoning Attacks. CoRR (2022)
Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. KDD (2022)
Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong
FLCert: Provably Secure Federated Learning Against Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee
Hierarchical Graph Transformer with Adaptive Node Sampling. NeurIPS (2022)
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
ProtGNN: Towards Self-Explaining Graph Neural Networks. AAAI (2022)
Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. CoRR (2022)
Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. CoRR (2022)
Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee
Hierarchical Graph Transformer with Adaptive Node Sampling. CoRR (2022)
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction. CoRR (2021)
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
ProtGNN: Towards Self-Explaining Graph Neural Networks. CoRR (2021)
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
GraphMI: Extracting Private Graph Data from Graph Neural Networks. IJCAI (2021)
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
GraphMI: Extracting Private Graph Data from Graph Neural Networks. CoRR (2021)
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction. NeurIPS (2021)
Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Backdoor Attacks to Graph Neural Networks. SACMAT (2021)
Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Backdoor Attacks to Graph Neural Networks. CoRR (2020)