| 2023 | FaaSCom: Mitigate Cold Start Problem in FaaS via Function Community. | Hairui Guo, Jialun Li, Yang Xu, Yujie Long, Jieying Zhou, Weigang Wu |
| 2023 | SA_TRSM: A Shape-Aware Auto-Tuning Framework for Small-Scale Irregular-Shaped TRSM. | Rongyuan Guo, Haipeng Jia, Yunquan Zhang, Mingsen Deng, Cunyang Wei, Wenbin Chang, Xiang Zhao |
| 2023 | dBFC: Destination-based Backpressure Flow Control for Incast. | Zewei Guan, Wenxin Li, Xin He, Song Zhang, Keqiu Li |
| 2023 | Latency, Energy and Carbon Aware Collaborative Resource Allocation with Consolidation and QoS Degradation Strategies in Edge Computing. | Wedan Emmanuel Gnibga, Anne Blavette, Anne-Ccile Orgerie |
| 2023 | TPTO: A Transformer-PPO based Task Offloading Solution for Edge Computing Environments. | Niloofar Gholipour, Marcos Dias de Assuno, Pranav Agarwal, Julien Gascon-Samson, Rajkumar Buyya |
| 2023 | PPCE: Privacy-Preserving Contribution Evaluation for Fairness-Aware Federated Learning. | Ke Geng, Lingling Wang, Zhengyin Zhang, Zhongkai Lu, Mei Huang |
| 2023 | Variational Graph Autoencoder Based on High-Order Attention Mechanism. | Liang Ge, Yiping Lin, Haifeng Li, Junwei Xie |
| 2023 | ISUAM: Intelligent and Safe UAM with Deep Reinforcement Learning. | Cristiano P. Garcia, Weigang Li, Nina S. T. Hirata, Clovis Neumann |
| 2023 | Automatic Deep Learning Operator Fusion on Sunway SW26010 Many-Core Processor. | Wei Gao, Wenxiang Zhang, Wenzhao Wu, Yanjie Zhen, Wenlai Zhao, Guangwen Yang |
| 2023 | Optimal Station Placement and Assignment for Electric Vehicle Battery Swapping. | Yichao Gao, Tao Wu, Xiaochen Fan, Xianrui Pan, Panlong Yang |
| 2023 | Practical Earphone Eavesdropping with Built-in Motion Sensors. | Mengzhen Gao, Helei Cui, Yanze Xie, Yaxing Chen, Zhiwen Yu, Bin Guo, Xingliang Yuan |
| 2023 | PGUD: Personalized Graph Universal Defense. | Zeming Gan, Linlin Su, Xianxian Li, Jinyan Wang |
| 2023 | FedMPM: A Personalized Federated Learning With Mixed Multi-Stage Private Models. | Yuqi Gan, Peng Han, Yuanyuan Li, Xin Huang |
| 2023 | Prospect Theory-Based Federated Learning Incentive Mechanism for Industrial IoT. | Fang Fu, Yan Wang, Zhicai Zhang, Yaqin Li |
| 2023 | Characterize and Optimize Dense Linear Solver on Multi-core CPUs. | Xiao Fu, Xing Su, Dezun Dong, Weiling Yang |
| 2023 | Parallel-Driven Edge Computing Task Offloading for Profit Maximization Based on DDPG. | Lequn Fu, Houming Qiu, Kun Zhu |
| 2023 | Hierarchical Scheduling of Hybrid DNN Tasks in Embedded Real-Time Systems. | Jiaxin Feng, Kun Zhu, Tong Zhang |
| 2023 | Intermittent fault diagnosability of a class of hypercube-family networks under the PMC model. | Hao Feng, Jiong Wu, Lin Chen |
| 2023 | Data-Quality-Driven Federated Learning for Optimizing Communication Costs. | Xuehong Fan, Nanzhong Wu, Shukan Liu, Xianzhang Chen, Duo Liu, Yujuan Tan, Ao Ren |
| 2023 | Accelerating Federated Learning with Adaptive Extra Local Updates upon Edge Networks. | Yitao Fan, Mingtao Ji, Zhuzhong Qian |
| 2023 | Reputation-Based Streamlet: An Enhanced BFT Consensus Algorithm for Improved Performance and Scalability. | Bo Fang, Dancheng Zhao, Taotao Wang, Hao Wang, Shengli Zhang, Qing Yang |
| 2023 | Profit-driven Optimization of Server Deployment and Service Placement in Multi-User Mobile Edge Computing. | Juan Fang, Shen Wu, Shuaibing Lu |
| 2023 | DPBC-VCP: A Network-On-Chip Prioritization Mechanism Combined with VCP for CPU-GPU Heterogeneous Systems. | Juan Fang, Haoyu Cheng, Zhichao Wei, Huijing Yang |
| 2023 | PORTEND: A Joint Performance Model for Partitioned Early-Exiting DNNs. | Maryam Ebrahimi, Alexandre da Silva Veith, Moshe Gabel, Eyal de Lara |
| 2023 | ISAA: Boost Repair Process by Constructing the Degree Constrained Optimal Repair Tree for Erasure-coded Systems. | Xianzhi Du, Bing Zhu, Zhihang Deng, Kenneth W. Shum, Weiping Wang |