Search Results - Zhang, Zaixi

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  1. 1
    FLCert: Provably Secure Federated Learning Against Poisoning Attacks

    FLCert: Provably Secure Federated Learning Against Poisoning Attacks by Cao, Xiaoyu, Zhang, Zaixi, Jia, Jinyuan, Gong, Neil Zhenqiang

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  2. 2
    FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information

    FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information by Cao, Xiaoyu, Jia, Jinyuan, Zhang, Zaixi, Gong, Neil Zhenqiang

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  3. 3
    Model Inversion Attacks Against Graph Neural Networks

    Model Inversion Attacks Against Graph Neural Networks by Zhang, Zaixi, Liu, Qi, Huang, Zhenya, Wang, Hao, Lee, Chee-Kong, Chen, Enhong

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  4. 4
    An equivariant generative framework for molecular graph-structure Co-design

    An equivariant generative framework for molecular graph-structure Co-design by Zhang, Zaixi, Liu, Qi, Lee, Chee-Kong, Hsieh, Chang-Yu, Chen, Enhong

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  5. 5
    Correction: FragGen: towards 3D geometry reliable fragment-based molecular generation

    Correction: FragGen: towards 3D geometry reliable fragment-based molecular generation by Zhang, Odin, Huang, Yufei, Chen, Shicheng, Yu, Mengyao, Zhang, Xujun, Lin, Haitao, Zeng, Yundian, Wang, Mingyang, Wu, Zhenxing, Zhao, Huifeng, Zhang, Zaixi, Hua, Chenqing, Kang, Yu, Cui, Sunliang, Pan, Peichen, Hsieh, Chang-Yu, Hou, Tingjun

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  6. 6
    FragGen: towards 3D geometry reliable fragment-based molecular generation

    FragGen: towards 3D geometry reliable fragment-based molecular generation by Zhang, Odin, Huang, Yufei, Cheng, Shichen, Yu, Mengyao, Zhang, Xujun, Lin, Haitao, Zeng, Yundian, Wang, Mingyang, Wu, Zhenxing, Zhao, Huifeng, Zhang, Zaixi, Hua, Chenqing, Kang, Yu, Cui, Sunliang, Pan, Peichen, Hsieh, Chang-Yu, Hou, Tingjun

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  7. 7
    ProtGNN: Towards Self-Explaining Graph Neural Networks

    ProtGNN: Towards Self-Explaining Graph Neural Networks by Zhang, Zaixi, Liu, Qi, Wang, Hao, Lu, Chengqiang, Lee, Cheekong

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  8. 8
    Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense

    Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense by Yu, Yang, Liu, Qi, Wu, Likang, Yu, Runlong, Yu, Sanshi Lei, Zhang, Zaixi

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  9. 9
    Learning Subpocket Prototypes for Generalizable Structure-based Drug Design

    Learning Subpocket Prototypes for Generalizable Structure-based Drug Design by Zhang, Zaixi, Liu, Qi

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  10. 10
    Binding-Adaptive Diffusion Models for Structure-Based Drug Design

    Binding-Adaptive Diffusion Models for Structure-Based Drug Design by Huang, Zhilin, Yang, Ling, Zhang, Zaixi, Zhou, Xiangxin, Bao, Yu, Zheng, Xiawu, Yang, Yuwei, Wang, Yu, Yang, Wenming

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  11. 11
    FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling

    FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling by Zhang, Zaixi, Wang, Mengdi, Liu, Qi

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  12. 12
    Generalized Protein Pocket Generation with Prior-Informed Flow Matching

    Generalized Protein Pocket Generation with Prior-Informed Flow Matching by Zhang, Zaixi, Zitnik, Marinka, Liu, Qi

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  13. 13
    Sparse Attention-Based Neural Networks for Code Classification

    Sparse Attention-Based Neural Networks for Code Classification by Xiang, Ziyang, Zhang, Zaixi, Liu, Qi

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  14. 14
    Multi-scale Iterative Refinement towards Robust and Versatile Molecular Docking

    Multi-scale Iterative Refinement towards Robust and Versatile Molecular Docking by Jiaxian Yan, Zhang, Zaixi, Zhang, Kai, Liu, Qi

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  15. 15
    FedGT: Federated Node Classification with Scalable Graph Transformer

    FedGT: Federated Node Classification with Scalable Graph Transformer by Zhang, Zaixi, Hu, Qingyong, Yang, Yu, Gao, Weibo, Liu, Qi

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  16. 16
    Full-Atom Protein Pocket Design via Iterative Refinement

    Full-Atom Protein Pocket Design via Iterative Refinement by Zhang, Zaixi, Lu, Zepu, Zhongkai Hao, Zitnik, Marinka, Liu, Qi

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  17. 17
    Backdoor Defense via Deconfounded Representation Learning

    Backdoor Defense via Deconfounded Representation Learning by Zhang, Zaixi, Liu, Qi, Wang, Zhicai, Lu, Zepu, Hu, Qingyong

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  18. 18
    Towards Few-shot Self-explaining Graph Neural Networks

    Towards Few-shot Self-explaining Graph Neural Networks by Peng, Jingyu, Liu, Qi, Yue, Linan, Zhang, Zaixi, Zhang, Kai, Sha, Yunhao

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  19. 19
    Model Inversion Attacks Through Target-Specific Conditional Diffusion Models

    Model Inversion Attacks Through Target-Specific Conditional Diffusion Models by Li, Ouxiang, Hao, Yanbin, Wang, Zhicai, Zhu, Bin, Wang, Shuo, Zhang, Zaixi, Feng, Fuli

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  20. 20
    Geometric Deep Learning for Structure-Based Drug Design: A Survey

    Geometric Deep Learning for Structure-Based Drug Design: A Survey by Zhang, Zaixi, Jiaxian Yan, Huang, Yining, Liu, Qi, Chen, Enhong, Wang, Mengdi, Zitnik, Marinka

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