| 2024 | ProtoFedLA: Prototype Guided Personalized Federated Learning Based on Localized Aggregation across Heterogeneous Clients. | Peiyan Jia, Delong Zhang, Lei Zhang, Daojun Han, Juntao Zhang, Yulong Sang |
| 2024 | Efficient Federated Learning Mechanism Based on Layer-wise Model Pruning. | Zhijie Jiang, Zhe Zhang, Yanchao Zhao |
| 2024 | RLPS: Reinforcement Learning based Periodic Strategy for 40/100Gbps Energy Efficient Ethernet. | Wanchun Jiang, Zhuang Tian, Renfu Yao, Xunyong Tan, Kai Wang, Jiawei Huang, Jianxin Wang |
| 2024 | A Task Transmission Path Selection Algorithm Based Object Identification and Intent-Driven in Uncertain Environments. | Lei Hu, Yang Zhang, Shukui Zhang, Wubing Pan, Yingying Wang |
| 2024 | GALA-GNN: Optimization for Training GNNs of Large-scale Graphs on Heterogeneous Platforms. | Junfeng Hu, Yi Zou, Xianfeng Song, Yiqiu Liu |
| 2024 | Learning-Based Hierarchical Adaptive Congestion Control with Low Training Overhead. | Jinbin Hu, Zikai Zhou, Shuying Rao, Yujie Peng, Bowen Bao, Chang Ruan |
| 2024 | DAR: Deadline-Aware Rerouting for Mix-flows in Datacenter Networks. | Jinbin Hu, Rui Zhi, Shuying Rao, Ying Liu, Jin Wang |
| 2024 | SparkTH: NUMA-Aware and I/O-Efficient Spark for ARM-Based Many-Core Supercomputing System. | Nan Hu, Minguang Xiao, Zhiguang Chen, Yutong Lu |
| 2024 | A Mixed Augmentations Method for Multivariate Time Series Contrastive Learning. | Weigang Huo, Yuting Wang, Lishou Ye |
| 2024 | NASFLY: On-Device Split Federated Learning with Neural Architecture Search. | Chao Huo, Juncheng Jia, Tao Deng, Mianxiong Dong, Zhanwei Yu, Di Yuan |
| 2024 | Improving Availability and Scalability for RDMA Load Balancing with In-network Reordering. | Jinbin Hu, Ruiqian Li, Shuying Rao, Jin Wang |
| 2024 | Leveraging SmartNIC for Ring AllReduce Offloading. | Lihuan Hui, Wang Yang, Yanbo Wang |
| 2024 | PSC Sketch: Finding Periodic Spread Changers in High-Speed Data Streams. | Ang Hu, Guoju Gao, Yu-e Sun, He Huang, Yihuai Wang, Yang Du, Xiaoyu Wang |
| 2024 | HLIHP: An Efficient Hierarchical Learned Index with High-Precision Correction. | Kunting Huang, Xujian Zhao, Peiquan Jin, Bo Li, Yin Long, Tao Liu |
| 2024 | Sound-based Bee Colony State Analysis Using Compact MFCC Patterns. | Weihai Huang, Weize Yang, Zhicong Luo, Jun Qi, Tingting Zhang, Xiangzeng Kong |
| 2024 | A Rotating Target Detection Algorithm for Ships in SAR Images Based on LAOBB-YOLOv8n. | Min Huang, Shuaihui Wang, Shuaili Luo, Qiuhong Sun, Xiaokang Zhou |
| 2024 | TabSec: A Collaborative Framework for Novel Insider Threat Detection. | Zilin Huang, Xiangyan Tang, Hongyu Li, Xinyi Cao, Jieren Cheng, Wenxuan Tu, Logan Bo-Yee Liu |
| 2024 | Knowledge Tracing Based on Semantic Enhancement of Exercise Relevance. | Yueyang Huang, Kun Liang, Huitao Zhang, Xilong Chang, Chao Wang, Xiankun Zhang |
| 2024 | Envision: Application Level Fairness for Cooperative Edge-AI Services with Deep Reinforcement Learning. | Jiale Huang, Long Chen, Shaojie Zheng, Jigang Wu |
| 2024 | Deep Reinforcement Learning Helps: Making Loading Cost-aware Joint Cooperative Edge-AI Service Deployment and Request Routing Practical. | Yulin Huang, Long Chen, Jiale Huang, Jigang Wu |
| 2024 | MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices. | Kan Hu, Linfeng Wen, Minxian Xu, Kejiang Ye |
| 2024 | Protein Function Prediction Based on the Pretrained Language Model ESM2 and Graph Convolutional Networks. | Lijuan Hou, Hanyan Qin, Xiankun Zhang, Yiying Zhang |
| 2024 | Qualitative QoS-aware Scheduling of Moldable Parallel Jobs on HPC Clusters | Zhengxiong Hou, Yubing Liu, Hong Shen, Jiyuan Liu, Jianhua Gu |
| 2024 | Parallel Assembly Sequence Planning Based on Sparrow Search Algorithms. | Haichen He, Weibin Liu, Yinan Zhang, Shasha Song, Yue Cheng, Ziheng Liu, Weiwei Xing |
| 2024 | HSDP: Accelerating Large-scale Model Training via Efficient Sharded Data Parallelism. | Yanqi Hao, Zhiquan Lai, Wei Wang, Shengwei Li, Weijie Liu, Keshi Ge, Dongsheng Li |