最新的论文专利详情请见：https://zach82.github.io/

 1.Jianan Zhang, Zaipeng Xie*, Hongxing Li, Xuanyao Jie, Yunfei Wang, and Bowen Li. “SQMG: An Optimized Stochastic Quantization Method Using Multivariate Gaussians for Distributed Learning.” Accepted by the 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan. (CCF-C)

2.Yingjian Song, Bingnan Li, Dan Luo, Zaipeng Xie, Bradley G Phillips, Yuan Ke, Wenzhan Song. “Engagement-Free and Contactless Bed Occupancy and Vital Signs Monitoring,” in IEEE Internet of Things Journal, vol. 11, no. 5, pp. 7935-7947, 1 March 1, 2024; (SCI JCR Q1)

3.Tian Gao, Zhiyuan Yuanzhou, Bohai Ji, Zaipeng Xie. “Vision‐based fatigue crack automatic perception and geometric updating of finite element model for welded joint in steel structures.” Computer‐Aided Civil and Infrastructure Engineering (2024); (SCI JCR Q1)

4.Zaipeng Xie*, Cheng Ji, Chentai Qiao, WenZhan Song, Zewen Li, Yufeng Zhang, and Yujing Zhang. “MioDSC: Mutual Information Oriented Deep Skill Chaining for Multi-Agent Reinforcement Learning.”  CAAI Transactions on Intelligence Technology. 1–17 (2024). https://doi.org/10.1049/cit2.12322; (SCI JCR Q2)

5.Zaipeng Xie*, Ziang Liu, Peng Chen, and Jianan Zhang. “Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds.” In Proceedings of the 30th International Conference on Neural Information Processing (ICONIP), Nov.20-23, 2023, Changsha, China. (CCF-C)

6.Zaipeng Xie*, Jianan Zhang, Yida Zhang, Chenghong Xu, Peng Chen, Zhihao Qu, and WenZhan Song. “An Efficient Fault Tolerance Strategy for Multi-task MapReduce Models Using Coded Distributed Computing.” In Proceedings of the 23rd International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 20-22 October 2023, Tianjin, China. (CCF-C)

7.Zaipeng Xie*, Wenhao Fang, Bingzhe Yu, Yang Ding, Yanling Pan, and WenZhan Song. “AMTL-Loc: Efficient WiFi Indoor Localization with Reduced Fingerprint Collection.” In Proceedings of 2023 IEEE Global Communications Conference (GLOBECOM), 4–8 December 2023, Kuala Lumpur, Malaysia. (CCF-C)

8.Jin Lu, Zaipeng Xie*, Jiayu Chen, Maohua Li, Chenghong Xu, and Hongli Cao. “GC-SALM: Multi-Task Runoff Prediction Using Spatial-Temporal Attention Graph Convolution Networks.” In Proceedings of the 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). October 1-4, 2023, Hyatt Maui, Hawaii, USA. (CCF-C)

9.Zaipeng Xie*, Yufeng Zhang, Chentai Qiao, and Sitong Shen. “IPERS: Individual Prioritized Experience Replay with Subgoals for Sparse Reward Multi-Agent Reinforcement Learning.” In Proceedings of the 26th European Conference on Artificial Intelligence ECAI 2023 (ECAI), 2-5 October 2023, Kraków, Poland. (CCF-B) 

10.Wenzhong Wang, Zaipeng Xie*, Bingzhe Yu, Zhihao Qu, Yufeng Zhang, and Hongli Cao. “Federated Learning with Common Representation Learning Criterion and Personalized Predictor.” In Proceedings of the 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). October 1-4, 2023, Hyatt Maui, Hawaii, USA. (CCF-C) 

11.Zaipeng Xie* , Cheng Ji, Lifeng Xu, Mingyao Xia, and Hongli Cao. Towards an Optimized Distributed Message Queue System for AIoT Edge Computing: A Reinforcement Learning Approach. Sensors. 2023; 23(12):5447. (SCI JCR Q2) 

12.Zaipeng Xie*, Chenyu Yuan, Likun Li, and Jiahao Wu. “Energy-Efficient Stochastic Computing for Convolutional Neural Networks by Using Kernel-wise Parallelism.” in Proceedings of the 56th IEEE International Symposium on Circuits and Systems (ISCAS), May 21-25, 2023, Monterey, California, USA. (CCF-C) 

13.Zaipeng Xie*, Junchen Jiang, Ruifeng Chen, Zhihao Qu, and Hanxiang Liu. “FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation.” in Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems (ICPADS), January 10-12, 2023. (CCF-C). 

14.Zaipeng Xie*, Yao Liu, Zhihao Qu, Bin Tang, and Weiyi Zhao. “FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning.” in Wireless Algorithms, Systems, and Applications: 17th International Conference (WASA), November 24–26, 2022. (CCF-C) 

15.Zaipeng Xie*, Yufeng Zhang, Pengfei Shao, and Weiyi Zhao. “QDN: An Efficient Value Decomposition Method for Cooperative Multi-agent Deep Reinforcement Learning.” in Proceedings of the 34th International Conference on Tool with Artificial Intelligence (ICTAI), October 31-November 2, 2022. (CCF-C)  

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