Zaixi Zhang

1.3k citations

16 papers · 587 indexed · 1 hit paper · h-index 10

Artificial Intelligence top 2%
Computer Networks and Communications top 10%
Information Systems top 10%
Signal Processing
Computer Vision and Pattern Recognition

Co-authors: Neil Zhenqiang Gong Xiaoyu Cao Jinyuan Jia Binghui Wang Chee‐Kong Lee Chengqiang LuQi LiuHao Wang
Topics: Privacy-Preserving Technologies in Data (5 papers)Advanced Graph Neural Networks (4 papers)Computational Drug Discovery Methods (3 papers)
Cited by: Artificial Intelligence Information Systems Computer Networks and Communications
Journals: Chemical Science IEEE Transactions on Knowledge and Data Engineering IEEE Transactions on Information Forensics and Security
Partner nations: China United States Hong Kong

In The Last Decade

Zaixi Zhang

15 papers receiving 577 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients

2022 168 citations Zaixi Zhang, Xiaoyu Cao et al. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining profile →

Peers

Countries citing papers authored by Zaixi Zhang

Since Specialization

Citations

This map shows the geographic impact of Zaixi Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zaixi Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaixi Zhang more than expected).

Fields of papers citing papers by Zaixi Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zaixi Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zaixi Zhang. The network helps show where Zaixi Zhang may publish in the future.

Co-authorship network of co-authors of Zaixi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Zaixi Zhang. A scholar is included among the top collaborators of Zaixi Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zaixi Zhang. Zaixi Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Dall-EM: Generative AI with Diffusion Models for New Design Space Discovery and Target-To-Electromagnetic Structure Synthesis 2025 ·Ying‐Qing Guo,(unknown),(unknown),Zijian Shao,Zaixi Zhang,Mengdi Wang,Kaushik Sengupta	0
2	Efficient generation of protein pockets with PocketGen 2024 ·Nature Machine Intelligence ·Zaixi Zhang,Wan Xiang Shen,(unknown),Marinka Žitnik	7
3	FragGen: towards 3D geometry reliable fragment-based molecular generation 2024 ·Chemical Science ·Odin Zhang,Yufei Huang,(unknown),(unknown),Xujun Zhang,Haitao Lin,Yundian Zeng,Mingyang Wang,Zhenhua Wu,(unknown),Zaixi Zhang,(unknown),Yu Kang,Sunliang Cui,Peichen Pan,Chang‐Yu Hsieh,Tingjun Hou	2
4	Binding-Adaptive Diffusion Models for Structure-Based Drug Design 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Zhilin Huang,L. Yang,Zaixi Zhang,(unknown),Yu Bao,Xiawu Zheng,Yuwei Yang,Yu Wang,Wenming Yang	4
5	Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown),(unknown),Likang Wu,Runlong Yu,(unknown),Zaixi Zhang	35
6	FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information 2023 ·Xiaoyu Cao,Jinyuan Jia,Zaixi Zhang,Neil Zhenqiang Gong	57
7	Backdoor Defense via Deconfounded Representation Learning 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Zaixi Zhang,Qi Liu,Zhicai Wang,(unknown),Qingyong Hu	15
8	An equivariant generative framework for molecular graph-structure Co-design 2023 ·Chemical Science ·Zaixi Zhang,Qi Liu,Chee‐Kong Lee,Chang‐Yu Hsieh,Enhong Chen	13
9	Differentiable Optimized Product Quantization and Beyond 2023 ·(unknown),Defu Lian,Jin Zhang,Zaixi Zhang,(unknown),Hao Wang,Enhong Chen	3
10	Sparse Attention-Based Neural Networks for Code Classification 2023 ·(unknown),Zaixi Zhang,(unknown)	1
11	ProtGNN: Towards Self-Explaining Graph Neural Networks 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Zaixi Zhang,Qi Liu,Hao Wang,Chengqiang Lu,Chee‐Kong Lee	69
12	FLCert: Provably Secure Federated Learning Against Poisoning Attacks 2022 ·IEEE Transactions on Information Forensics and Security ·(unknown),Zaixi Zhang,(unknown),Neil Zhenqiang Gong	48
13	Model Inversion Attacks Against Graph Neural Networks 2022 ·IEEE Transactions on Knowledge and Data Engineering ·Zaixi Zhang,Qi Liu,Zhenya Huang,Hao Wang,Chee‐Kong Lee,Enhong Chen	29
14	FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clientsbreakdown → 2022 ·Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·Zaixi Zhang,Xiaoyu Cao,Jinyuan Jia,Neil Zhenqiang Gong	168
15	Backdoor Attacks to Graph Neural Networks 2021 ·Zaixi Zhang,Jinyuan Jia,Binghui Wang,Neil Zhenqiang Gong	102
16	GraphMI: Extracting Private Graph Data from Graph Neural Networks 2021 ·Zaixi Zhang,Qi Liu,Zhenya Huang,Hao Wang,Chengqiang Lu,Chuanren Liu,Enhong Chen	34

About Zaixi Zhang

Zaixi Zhang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Media Technology, having authored 16 papers that have together received 587 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Advanced Graph Neural Networks (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Artificial Intelligence (505 citations), Information Systems (81 citations) and Computer Networks and Communications (82 citations). Zaixi Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Neil Zhenqiang Gong, Xiaoyu Cao, Jinyuan Jia, Jinyuan Jia, Binghui Wang, Chee‐Kong Lee, Chengqiang Lu, Qi Liu, Hao Wang and Xiaoyu Cao. Their work appears in journals such as Chemical Science, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Information Forensics and Security.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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