| 2023 | GraphIoT: Accurate IoT Identification based on Heterogeneous Graph. | Linna Fan, Lin He, Xiaoqing Sun, Enhuan Dong, Jiahai Yang, Zhiliang Wang, Jinlei Lin, Guanglei Song |
| 2023 | GOAT: Gradient Scheduling with Collaborative In-Network Aggregation for Distributed Training. | Jin Fang, Gongming Zhao, Hongli Xu, Zhuolong Yu, Bingchen Shen, Liguang Xie |
| 2023 | RateSheriff: Multipath Flow-aware and Resource Efficient Rate Limiter Placement for Data Center Networks. | Songshi Dou, Yongchao He, Sen Liu, Wenfei Wu, Zehua Guo |
| 2023 | RPBV: Reputation-Based Probabilistic Batch Verification Scheme for Named Data Networking. | Kunpeng Ding, Jiayu Yang, Jiangping Han, Bobo Wang, Ruidong Li, Kaiping Xue |
| 2023 | Boosting Distributed Machine Learning Training Through Loss-tolerant Transmission Protocol. | Zixuan Chen, Lei Shi, Xuandong Liu, Xin Ai, Sen Liu, Yang Xu |
| 2023 | IRS-Aided Sectorized Base Station Design and 3D Coverage Performance Analysis. | Xintong Chen, Jiangbin Lyu, Liqun Fu |
| 2023 | Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge. | Quan Chen, Song Guo, Wenchao Xu, Jing Li, Tuo Shi, Zhipeng Cai, Hong Gao |
| 2023 | Meta-Learning Based Runtime Adaptation for Industrial Wireless Sensor-Actuator Networks. | Xia Cheng, Mo Sha |
| 2022 | FROD: An Efficient Framework for Optimizing Decision Trees in Packet Classification. | Longlong Zhu, Jiashuo Yu, Jiayi Cai, Jinfeng Pan, Zhigao Li, Zhengyan Zhou, Dong Zhang, Chunming Wu |
| 2022 | When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach. | Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming |
| 2022 | Congestion-Aware Modeling and Analysis of Sponsored Data Plan from End User Perspective. | Yi Zhao, Qi Tan, Xiaohua Xu, Hui Su, Dan Wang, Ke Xu |
| 2022 | Flow Sequence-Based Anonymity Network Traffic Identification with Residual Graph Convolutional Networks. | Ruijie Zhao, Xianwen Deng, Yanhao Wang, Libo Chen, Ming Liu, Zhi Xue, Yijun Wang |
| 2022 | PextCuts: A High-performance Packet Classification Algorithm with Pext CPU Instruction. | Chunyang Zhang, Gaogang Xie, Peng He |
| 2022 | Scorpius: Proactive Code Preparation to Accelerate Function Startup. | Heng Yu, Junxian Shen, Han Zhang, Jilong Wang, Congcong Miao, Mingwei Xu |
| 2022 | A Control-Theoretic and Online Learning Approach to Self-Tuning Queue Management. | Jiancheng Ye, Kechao Cai, Dong Lin, Jiarong Li, Jianfei He, John C. S. Lui |
| 2022 | Online Entanglement Routing in Quantum Networks. | Lan Yang, Yangming Zhao, Hongli Xu, Chunming Qiao |
| 2022 | Accurately Identify Time-decaying Heavy Hitters by Decay-aware Cuckoo Filter along Kicking Path. | Qingjun Xiao, Haotian Wang, Guannan Pan |
| 2022 | DoCile: Taming Denial-of-Capability Attacks in Inter-Domain Communications. | Marc Wyss, Giacomo Giuliari, Markus Legner, Adrian Perrig |
| 2022 | Adaptive Clustered Federated Learning for Clients with Time-Varying Interests. | Ne Wang, Ruiting Zhou, Lina Su, Guang Fang, Zongpeng Li |
| 2022 | HPUCache: Toward High Performance and Resource Utilization in Clustered Cache via Data Copying and Instance Merging. | Qianli Wang, Si Wu, Yongkun Li, Yinlong Xu, Fei Chen, Pengcheng Wang, Lei Han |
| 2022 | DUET: Joint Deployment of Trucks and Drones for Object Monitoring. | Lihao Wang, Weijun Wang, Haipeng Dai, Jiaqi Zheng, Bangbang Ren, Shuyu Shi, Rong Gu |
| 2022 | Improving disk failure detection accuracy via data augmentation. | Wang Wang, Xuehai Tang, Biyu Zhou, Wenjie Xiao, Jizhong Han, Songlin Hu |
| 2022 | Timely-throughput Optimal Scheduling for Wireless Flows with Deep Reinforcement Learning. | Qi Wang, Chentao He, Katia Jaffrs-Runser, Jianhui Huang, Yongjun Xu |
| 2022 | Progressive Construction of k-identifiable Networks. | Yongshuo Wan, Cuiying Feng, Kui Wu, Jianping Wang |
| 2022 | Privacy-Preserving and Robust Federated Deep Metric Learning. | Yulong Tian, Xiaopeng Ke, Zeyi Tao, Shaohua Ding, Fengyuan Xu, Qun Li, Hao Han, Sheng Zhong, Xinyi Fu |