| 2023 | Reinforcement Learning-based Traffic Engineering for QoS Provisioning and Load Balancing. | Minghao Ye, Yang Hu, Junjie Zhang, Zehua Guo, H. Jonathan Chao |
| 2023 | A Data-Driven Framework for TCP to Achieve Flexible QoS Control in Mobile Data Networks. | Jiaqi Yao, Ke Liu, Ting Liang, Theophilus A. Benson, Jack Y. B. Lee, Vaneet Aggarwal, Yungang Bao, Mingyu Chen |
| 2023 | Ambient Backscatter with a Single Commodity AP. | Yifan Yang, Wei Gong, Yu Yang |
| 2023 | Enabling Reliable and Efficient Performance Monitoring and Troubleshooting in Datacenter Networks. | Qinglin Xun, Weichao Li, Haorui Guo, Qianyi Huang, Jianer Zhou, Jingpu Duan, Yi Wang, Jinbei Zhang |
| 2023 | Distributed Model Interpretation for Vertical Federated Learning with Feature Discrepancy. | Rui Xing, Zhenzhe Zheng, Qinya Li, Fan Wu, Guihai Chen |
| 2023 | Data-Driven Similarity-based Worker Recruitment Towards Multi-task Data Inference for Sparse Mobile Crowdsensing. | En Wang, Zijie Tian, Yongjian Yang, Wenbin Liu, Baoju Li, Nan Jiang, Jie Wu |
| 2023 | People Counting with Carry-on RFID Tags. | Xuan Wang, Jia Liu, Xi Yu, Xingyu Chen, Yujie Yu, Zhihong Zhao |
| 2023 | Proactive Auto-scaling For Delay-sensitive Service Providers Over Public Clouds. | Weimeng Wang, Lei Liu, Zhongmin Yan |
| 2023 | MARS: Fault Localization in Programmable Networking Systems with Low-cost In-Band Network Telemetry. | Benran Wang, Hongyang Chen, Pengfei Chen, Zilong He, Guangba Yu |
| 2023 | Federated Learning with Adaptive Weighted Model Aggregation. | Rebekah Wang |
| 2023 | BackLip: Passphrase-Independent Lip-reading User Authentication with Backscatter Signals. | Ye Tian, Hao Zhou, Haohua Du, Chenren Xu, Jiahui Hou, Dong Ren, Xiang-Yang Li |
| 2023 | Biglog: Unsupervised Large-scale Pre-training for a Unified Log Representation. | Shimin Tao, Yilun Liu, Weibin Meng, Zuomin Ren, Hao Yang, Xun Chen, Liang Zhang, Yuming Xie, Chang Su, Xiaosong Oiao, Weinan Tian, Yichen Zhu, Tao Han, Ying Qin, Yun Li |
| 2023 | Which Doors Are Open: Reinforcement Learning-based Internet-wide Port Scanning. | Guanglei Song, Lin He, Tianyun Zhao, Yirui Luo, Yichao Wu, Linna Fan, Chenglong Li, Zhiliang Wang, Jiahai Yang |
| 2023 | OSCA: Online User-managed Server Selection and Configuration Adaptation for Interactive MAR. | Xiaohang Shi, Sheng Zhang, Ke Cheng, Yu Chen, Andong Zhu, Sanglu Lu |
| 2023 | AIoT-Empowered Smart Grid Energy Management with Distributed Control and Non-Intrusive Load Monitoring. | Linfeng Shen, Feng Wang, Miao Zhang, Jiangchuan Liu, Gaoyang Liu, Xiaoyi Fan |
| 2023 | A Holistic QoS View of Crowdsourced Edge Cloud Platform. | Shihao Shen, Yicheng Feng, Mengwei Xu, Cheng Zhang, Xiaofei Wang, Wenyu Wang, Victor C. M. Leung |
| 2023 | On-demand Edge Inference Scheduling with Accuracy and Deadline Guarantee. | Yechao She, Minming Li, Yang Jin, Meng Xu, Jianping Wang, Bin Liu |
| 2023 | spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud. | Ruitao Shang, Fei Xu, Zhuoyan Bai, Li Chen, Zhi Zhou, Fangming Liu |
| 2023 | Triple:The Interpretable Deep Learning Anomaly Detection Framework based on Trace-Metric-Log of Microservice. | Rui Ren, Yang Wang, Fengrui Liu, Zhenyu Li, Gaogang Xie |
| 2023 | Grace: Interpretable Root Cause Analysis by Graph Convolutional Network for Microservices. | Rui Ren, Yang Wang, Fengrui Liu, Zhenyu Li, Gareth Tyson, Tianhao Miao, Gaogang Xie |
| 2023 | FTM-RCA: A Fast Two-Stage Multi-dimensional Root-Cause Analysis of Network Anomalies. | Yeqing Meng, Qianli Zhang, Xiangyu Tang, Wanhao Zhang, Jilong Wang |
| 2023 | Rusen: Rule Semantics Enabler toward Fast TCAM Update for Commodity SDN Switches. | Hao Mei, Ruoshi Sun, Ruyi Yao, Chuhao Chen, Cong Luo, Zixuan Chen, Jiahui Li, Sen Liu, Yang Xu |
| 2023 | STABack: Making Dynamic Backscattering Stable for Fast and Accurate Object Tracking. | Yachen Mao, Panlong Yang, Shanyue Wang, Yubo Yan |
| 2023 | TAG: An Efficient Storage System Towards Transactional and Analytical Processing on Property Graphs. | Mingxiang Lu, Min Lyu, Yinlong Xu |
| 2023 | AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning. | Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen |