Sorting Matrix Architecture for Continuous Data Sequences. - Meiting Xue; Huan Zhang 004; Weijun Li 001; Feng Yu 003 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

High-Throughput Parallel SRAM-Based Hash Join Architecture on FPGA. - Wen-Qi Wu; Meiting Xue; Tian-Qi Zhu; Zhen-Guo Ma; Feng Yu 003 (IEEE Trans. Circuits Syst., 2020)

FPGA-Accelerated Hash Join Operation for Relational Databases. - Meiting Xue; Qianjian Xing; Chen Feng; Feng Yu 003; Zhen-Guo Ma (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

High-Parallelism Hash-Merge Architecture for Accelerating Join Operation on FPGA. - Wen-Qi Wu; Meiting Xue; Qianjian Xing; Feng Yu 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Aware: Adaptive Distributed Training with Computation, Communication and Position Awareness for Deep Learning Model. - Yan Zeng; Guangzheng Yi; Yuyu Yin; Jiyang Wu; Meiting Xue; Jilin Zhang; Jian Wan 001; Yunquan Zhang (HPCC/DSS/SmartCity/DependSys, 2022)

AreaHash: A Balanced and fully scalable consistency hashing algorithm. - Yan Zeng; Jinbo Zhang; Meiting Xue; Jian Wan 001; Jilin Zhang; Li Zhou 008 (HPCC/DSS/SmartCity/DependSys, 2022)

Resource Efficient Top-K Sorter on FPGA. - Binhao He; Meiting Xue; Shubiao Liu; Feng Yu 003; Weijie Chen 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

A Synchronous Parallel Method with Parameters Communication Prediction for Distributed Machine Learning. - Yanguo Zeng; Meiting Xue; Peiran Xu 003; Yukun Shi; Kaisheng Zeng; Jilin Zhang; Lupeng Yue (CollaborateCom (3), 2023)

Personalized Federated Learning for Fast Convergence and Local Adaption: A Double Gradient Descent Method. - Zhidu Li; Songyang He; Xu Li; Meiting Xue (HPCC/DSS/SmartCity/DependSys, 2023)

FedAG:A Federated Learning Method Based on Data Importance Weighted Aggregation. - Mengchu Xu; Yan Zeng; Meiting Xue; Jilin Zhang; Jian Wan 001; Mingyao Zhou; Yilin Wen 004; Yukun Shi (ICCC, 2023)

An Auto-Parallel Method for Deep Learning Models Based on Genetic Algorithm. - Yan Zeng; Chengchuang Huang; Yijie Ni; Chunbao Zhou; Jilin Zhang; Jue Wang; Mingyao Zhou; Meiting Xue; Yunquan Zhang (ICPADS, 2023)

Reliable Long-Term Energy Load Trend Prediction Model for Smart Grid Using Hierarchical Decomposition Self-Attention Network. - Xianghao Zhan; Liang Kou; Meiting Xue; Jilin Zhang; Li Zhou 008 (IEEE Trans. Reliab., 2023)

Dual Cuckoo Filter with a Low False Positive Rate for Deep Packet Inspection. - Yixuan Zhang; Meiting Xue; Huan Zhang 004; Shubiao Liu; Bei Zhao (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

DynamicKV: Data Storage Strategy Based on Partition Merging of Log-Structured Merge Tree. - Jiawei Huang; Meiting Xue; Chenpu Li; Huan Zhang; Bei Zhao (ICCVIT, 2024)

High-Parallelism and Pipelined Architecture for Accelerating Sort-Merge Join on FPGA. - Meiting Xue; Wenqi Wu; Jinfeng Luo; Yixuan Zhang; Bei Zhao (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

A novel device placement approach based on position-aware subgraph neural networks. - Meng Han; Yan Zeng; Jilin Zhang; Yongjian Ren; Meiting Xue; Mingyao Zhou (Neurocomputing, 2024)

Fishing Vessel Type Recognition Based on Semantic Feature Vector. - Junfeng Yuan; Qianqian Zhang; Jilin Zhang; Youhuizi Li; Zhen Liu; Meiting Xue; Yan Zeng (Int. J. Data Warehous. Min., 2024)

FedPIA: Parameter Importance-Based Optimized Federated Learning to Efficiently Process Non-IID Data on Consumer Electronic Devices. - Yan Zeng; Yuyu Yin; Jilin Zhang; Meiting Xue; Honghao Gao (IEEE Trans. Consumer Electron., 2024)

Fine-Tuned Personality Federated Learning for Graph Data. - Meiting Xue; Zian Zhou; Pengfei Jiao; Huijun Tang (IEEE Trans. Big Data, 2024)

A Federated Active Learning Based on Prototype-Based Hierarchical Clustering. - Zelin Fan; Meiting Xue; Yukun Shi; Yan Zeng; Jilin Zhang; Li Zhou 008; Yongjian Ren (ICIC (10), 2025)

Vertical federated learning based on data subset representation for healthcare application. - Yukun Shi; Jilin Zhang; Meiting Xue; Yan Zeng; Gangyong Jia; Qihong Yu; Miaoqi Li (Comput. Methods Programs Biomed., 2025)