| 2025 | CCGRID | ECO-KVS: Energy-Aware Compaction Offloading Mechanism for LSM-Tree Based Key-Value Stores in Edge Federation. | Jeeseob Kim, Hongsu Byun, Seungjae Lee, Myoungjoon Kim, Youngjae Kim, Zaipeng Xie, Sungyong Park |
| 2025 | CHASE | Blood Pressure Estimation from Vibration Signals via Coarse-to-Fine Contrastive Learning, Feature Selection and Synthesis. | Yida Zhang, Jiayu Chen, Yingjian Song, Zixuan Zeng, Xiang Zhang, Qin Lu, Bradley G. Phillips, Zaipeng Xie, Wenzhan Song |
| 2025 | CSCWD | FedM2M: Robust Federated Voiceprint Recognition via Memory-Momentum Meta-Learning. | Zaipeng Xie, Zhong Huang, Zishu Zhou, Yiming Zhao, Clment Pechnyk |
| 2025 | ECAI | ADAPT: Auction-Based Dynamic Prioritization for Multi-Agent Coordination. | Zaipeng Xie, Chentai Qiao, Nuo Yang, Yiming Zhao |
| 2025 | ECAI | GraphSem: Robust Multi-Agent Reinforcement Learning via Semantic-Graph Communication. | Zaipeng Xie, Yaowu Wang, Sitong Shen, Jianan Zhang |
| 2025 | ICIP | Learned Video Compression with Spatial Correlation Priors and Hierarchical Temporal Attention. | Qian Huang, Wenchao Shan, Qian Xu, Zaipeng Xie, Yiming Wang |
| 2025 | ICIP | Neighbor-Aware Feature-Driven Motion Compensation for Learned Video Compression. | Hao Lu, Qian Huang, Ziyang Yin, Zaipeng Xie, Yiming Wang |
| 2025 | ICRA | AERAS: Adaptive Experience Replay with Attention-Based Sequence Embedding for Improved Multi-Agent Reinforcement Learning. | Zaipeng Xie, Sitong Shen, Yaowu Wang, Wenhao Fang, WenZhan Song |
| 2024 | ACML | FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity. | Zaipeng Xie, Likun Li, Xiangbin Chen, Hao Yu, Qian Huang |
| 2024 | ICPR | Improving Adaptive Runoff Forecasts in Data-Scarce Watersheds Through Personalized Federated Learning. | Zaipeng Xie, Xiangqin Zhang, Yunfei Wang, Xuanyao Jie, Wenhao Fang, Yanping Cai |
| 2024 | IJCNN | SQMG: An Optimized Stochastic Quantization Method Using Multivariate Gaussians for Distributed Learning. | Jianan Zhang, Zaipeng Xie, Hongxing Li, Xuanyao Jie, Yunfei Wang, Bowen Li |
| 2023 | ECAI | IPERS: Individual Prioritized Experience Replay with Subgoals for Sparse Reward Multi-Agent Reinforcement Learning. | Zaipeng Xie, Yufeng Zhang, Chentai Qiao, Sitong Shen |
| 2023 | GLOBECOM | AMTL-Loc: Efficient WiFi Indoor Localization with Reduced Fingerprint Collection. | Zaipeng Xie, Wenhao Fang, Bingzhe Yu, Yang Ding, Yanling Pan, Wen-Zhan Song |
| 2023 | ICA3PP | An Efficient Fault Tolerance Strategy for Multi-task MapReduce Models Using Coded Distributed Computing. | Zaipeng Xie, Jianan Zhang, Yida Zhang, Chenghong Xu, Peng Chen, Zhihao Qu, WenZhan Song |
| 2023 | ICONIP | Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds. | Zaipeng Xie, Ziang Liu, Peng Chen, Jianan Zhang |
| 2023 | ISCAS | Energy-Efficient Stochastic Computing for Convolutional Neural Networks by Using Kernel-wise Parallelism. | Zaipeng Xie, Chenyu Yuan, Likun Li, Jiahao Wu |
| 2023 | SMC | GC-SALM: Multi-Task Runoff Prediction Using Spatial-Temporal Attention Graph Convolution Networks. | Jin Lu, Zaipeng Xie, Jiayu Chen, Maohua Li, Chenghong Xu, Hongli Cao |
| 2023 | SMC | Federated Learning with Common Representation Learning Criterion and Personalized Predictor. | Wenzhong Wang, Zaipeng Xie, Bingzhe Yu, Zhihao Qu, Yufeng Zhang, Hongli Cao |
| 2022 | ICPADS | FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation. | Zaipeng Xie, Junchen Jiang, Ruifeng Chen, Zhihao Qu, Hanxiang Liu |
| 2022 | ICTAI | QDN: An Efficient Value Decomposition Method for Cooperative Multi-agent Deep Reinforcement Learning. | Zaipeng Xie, Yufeng Zhang, Pengfei Shao, Weiyi Zhao |