| 2021 | Neuro-DCF: Design of Wireless MAC via Multi-Agent Reinforcement Learning Approach. | Sangwoo Moon, Sumyeong Ahn, Kyunghwan Son, Jinwoo Park, Yung Yi |
| 2021 | Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication. | Sen Lin, Mehmet Dedeoglu, Junshan Zhang |
| 2021 | Task Offloading with Uncertain Processing Cycles. | Shaoran Li, Chengzhang Li, Yan Huang, Brian Jalaian, Y. Thomas Hou, Wenjing Lou |
| 2021 | MultiAuth: Enable Multi-User Authentication with Single Commodity WiFi Device. | Hao Kong, Li Lu, Jiadi Yu, Yingying Chen, Xiangyu Xu, Feilong Tang, Yi-Chao Chen |
| 2021 | Joint Update Rate Adaptation in Multiplayer Cloud-Edge Gaming Services: Spatial Geometry and Performance Tradeoffs. | Saadallah Kassir, Gustavo de Veciana, Nannan Wang, Xi Wang, Paparao Palacharla |
| 2021 | Real-Time Deep Video Analytics on Mobile Devices. | Jian He, Ghufran Baig, Lili Qiu |
| 2021 | Beyond Scaling: Calculable Error Bounds of the Power-of-Two-Choices Mean-Field Model in Heavy-Traffic. | Hairi, Xin Liu, Lei Ying |
| 2021 | Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework. | Yifan Guo, Lixing Yu, Qianlong Wang, Tianxi Ji, Yuguang Fang, Jin Wei-Kocsis, Pan Li |
| 2021 | Learning-NUM: Network Utility Maximization with Unknown Utility Functions and Queueing Delay. | Xinzhe Fu, Eytan H. Modiano |
| 2021 | Job Dispatching Policies for Queueing Systems with Unknown Service Rates. | Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai |
| 2021 | User Distributions in Shard-based Blockchain Network: Queueing Modeling, Game Analysis, and Protocol Design. | Canhui Chen, Qian Ma, Xu Chen, Jianwei Huang |
| 2021 | DeepLoRa: Fingerprinting LoRa Devices at Scale Through Deep Learning and Data Augmentation. | Amani Al-Shawabka, Philip Pietraski, Sudhir B. Pattar, Francesco Restuccia, Tommaso Melodia |
| 2020 | Portal: transparent cross-technology opportunistic forwarding for low-power wireless networks. | Xiaolong Zheng, Dan Xia, Xiuzhen Guo, Liang Liu, Yuan He, Huadong Ma |
| 2020 | Online scheduling of heterogeneous distributed machine learning jobs. | Qin Zhang, Ruiting Zhou, Chuan Wu, Lei Jiao, Zongpeng Li |
| 2020 | Online dispatching and scheduling of jobs with heterogeneous utilities in edge computing. | Chi Zhang, Haisheng Tan, Haoqiang Huang, Zhenhua Han, Shaofeng H.-C. Jiang, Nikolaos M. Freris, Xiang-Yang Li |
| 2020 | Truthful mobile crowd sensing with interdependent valuations. | Meng Zhang, Brian Swenson, Jianwei Huang, H. Vincent Poor |
| 2020 | Why queue up?: fast parallel search of RFID tags for multiple users. | Shigeng Zhang, Xuan Liu, Song Guo, Albert Y. Zomaya, Jianxin Wang |
| 2020 | Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. | Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu |
| 2020 | Robust resource provisioning in time-varying edge networks. | Ruozhou Yu, Guoliang Xue, Yinxin Wan, Jian Tang, Dejun Yang, Yusheng Ji |
| 2020 | Learning to price vehicle service with unknown demand. | Haoran Yu, Ermin Wei, Randall A. Berry |
| 2020 | Iterative learning of graph connectivity from partially-observed cascade samples. | Jiin Woo, Jungseul Ok, Yung Yi |
| 2020 | Tensor completion-based 5G positioning with partial channel measurements. | Fuxi Wen, Tommy Svensson |
| 2020 | Towards compression-resistant privacy-preserving photo sharing on social networks. | Zhibo Wang, Hengchang Guo, Zhifei Zhang, Mengkai Song, Siyan Zheng, Qian Wang, Ben Niu |
| 2020 | Vehicular knowledge networking and application to risk reasoning. | Seyhan Ucar, Takamasa Higuchi, Chang-Heng Wang, Duncan Deveaux, Jrme Hrri, Onur Altintas |
| 2020 | Online control of random access with splitting. | Waqas Tariq Toor, Jun-Bae Seo, Hu Jin |