| 2026 | AAAI | DAWN: Distributed LLM Multi-Agent Workflow Synthesis. | Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang |
| 2026 | ACL | Bloom-Eval: A Hierarchical Evaluation Benchmark for Automatic Survey Generation Based on Bloom's Taxonomy. | Fei Zhang, Zhe Zhao, Haibin Wen, Tianshuo Wei, Zaixi Zhang, Chao Yang, Ye Wei |
| 2025 | ICDE | GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning. | Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao |
| 2024 | AAAI | Binding-Adaptive Diffusion Models for Structure-Based Drug Design. | Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang |
| 2024 | ICML | What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. | Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen |
| 2023 | AAAI | Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. | Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang |
| 2023 | CVPR | Backdoor Defense via Deconfounded Representation Learning. | Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu |
| 2023 | ICLR | Molecule Generation For Target Protein Binding with Structural Motifs. | Zaixi Zhang, Yaosen Min, Shuxin Zheng, Qi Liu |
| 2023 | ICML | Learning Subpocket Prototypes for Generalizable Structure-based Drug Design. | Zaixi Zhang, Qi Liu |
| 2023 | WWW | Differentiable Optimized Product Quantization and Beyond. | Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen |
| 2023 | SP | FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. | Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong |
| 2022 | AAAI | ProtGNN: Towards Self-Explaining Graph Neural Networks. | Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee |
| 2022 | KDD | FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. | Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong |
| 2021 | IJCAI | GraphMI: Extracting Private Graph Data from Graph Neural Networks. | Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen |
| 2021 | SACMAT | Backdoor Attacks to Graph Neural Networks. | Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong |