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

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

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

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

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Efficient generation of protein pockets with PocketGen von Zhang, Zaixi, Shen, Wan Xiang, Liu, Qi, Zitnik, Marinka

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Correction: FragGen: towards 3D geometry reliable fragment-based molecular generation von 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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FragGen: towards 3D geometry reliable fragment-based molecular generation von 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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Towards Few-Shot Self-explaining Graph Neural Networks von Peng, Jingyu, Liu, Qi, Yue, Linan, Zhang, Zaixi, Zhang, Kai, Sha, Yunhao

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

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PocketGen datasets von Zaixi, Zhang

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

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

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

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

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

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

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

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DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking von Yan, Jiaxian, Zhang, Zaixi, Zhu, Jintao, Zhang, Kai, Pei, Jianfeng, Liu, Qi

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

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

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