| 2022 | Deterministic Self-Adjusting Tree Networks Using Rotor Walks. | Chen Avin, Marcin Bienkowski, Iosif Salem, Robert Sama, Stefan Schmid, Pawel Schmidt |
| 2022 | Supporting Massive DLRM Inference through Software Defined Memory. | Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Jens Axboe, Valmiki Rampersad, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Dheevatsa Mudigere, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Krishnakumar Nair, Maxim Naumov, Chris Petersen, Mikhail Smelyanskiy, Vijay Rao |
| 2022 | On the Optimality of the Greedy Garbage Collection Strategy for SSDs. | Ernst Althaus, Petra Berenbrink, Andr Brinkmann, Rebecca Steiner |
| 2022 | DeepIIoT: An Explainable Deep Learning Based Intrusion Detection System for Industrial IOT. | Mohammed M. Alani, Ernesto Damiani, Uttam Ghosh |
| 2022 | Edge computing system with multi-LIDAR sensor network for robustness of autonomous personal-mobility. | Kuon Akiyama, Ryoichi Shinkuma, Chotaro Yamamoto, Mai Saito, Toshio Ito, Koichi Nihei, Takanori Iwai |
| 2022 | Machine Learning for Aggregate Computing: a Research Roadmap. | Gianluca Aguzzi, Roberto Casadei, Mirko Viroli |
| 2022 | QUIC Employment: Comparing the Response Time of Facebook and Twitter. | Nicola Adami, Mirko Franco, Francesco Penna, Claudio E. Palazzi |
| 2021 | GTCP: Hybrid Congestion Control for Cross-Datacenter Networks. | Shaojun Zou, Jiawei Huang, Jingling Liu, Tao Zhang, Ning Jiang, Jianxin Wang |
| 2021 | A Truthful Procurement Auction for Incentivizing Heterogeneous Clients in Federated Learning. | Ruiting Zhou, Jinlong Pang, Zhibo Wang, John C. S. Lui, Zongpeng Li |
| 2021 | Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. | Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su |
| 2021 | A Multi-Tenant Framework for Cloud Container Services. | Chao Zheng, Qinghui Zhuang, Fei Guo |
| 2021 | Joint Order Dispatch and Repositioning for Urban Vehicle Sharing Systems via Robust Optimization. | Yiran Zhao, Guiyun Fan, Haiming Jin, Wenze Ma, Baoxiang He, Xinbing Wang |
| 2021 | Statistical Tail-Latency Bounded QoS Provisioning for Parallel and Distributed Data Centers. | Xi Zhang, Qixuan Zhu |
| 2021 | FreeLauncher: Lossless Failure Recovery of Parameter Servers with Ultralight Replication. | Yangyang Zhang, Jianxin Li, Yiming Zhang, Lijie Wang, Ling Liu |
| 2021 | An Efficient and Balanced Graph Partition Algorithm for the Subgraph-Centric Programming Model on Large-scale Power-law Graphs. | Shuai Zhang, Zite Jiang, Xingzhong Hou, Zhen Guan, Mengting Yuan, Haihang You |
| 2021 | BiCord: Bidirectional Coordination among Coexisting Wireless Devices. | Zihao Yu, Pengyu Li, Carlo Alberto Boano, Yuan He, Meng Jin, Xiuzhen Guo, Xiaolong Zheng |
| 2021 | Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning. | Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li |
| 2021 | Federated Model Search via Reinforcement Learning. | Dixi Yao, Lingdong Wang, Jiayu Xu, Liyao Xiang, Shuo Shao, Yingqi Chen, Yanjun Tong |
| 2021 | StripeMerge: Efficient Wide-Stripe Generation for Large-Scale Erasure-Coded Storage. | Qiaori Yao, Yuchong Hu, Liangfeng Cheng, Patrick P. C. Lee, Dan Feng, Weichun Wang, Wei Chen |
| 2021 | Poster: Quadratic-Time Algorithms for Optimal Min-Max Barrier Coverage with Mobile Sensors on the Plane. | Pei Yao, Longkun Guo, Jiguo Yu |
| 2021 | Towards Efficient Inference: Adaptively Cooperate in Heterogeneous IoT Edge Cluster. | Xiang Yang, Qi Qi, Jingyu Wang, Song Guo, Jianxin Liao |
| 2021 | RF-Prism: Versatile RFID-based Sensing through Phase Disentangling. | Songzhen Yang, Meng Jin, Yuan He, Yunhao Liu |
| 2021 | Online Learning Algorithms for Offloading Augmented Reality Requests with Uncertain Demands in MECs. | Zichuan Xu, Dongqi Liu, Weifa Liang, Wenzheng Xu, Haipeng Dai, Qiufen Xia, Pan Zhou |
| 2021 | Cooperative Charging as Service: Scheduling for Mobile Wireless Rechargeable Sensor Networks. | Jia Xu, Suyi Hu, Sixu Wu, Kaijun Zhou, Haipeng Dai, Lijie Xu |
| 2021 | GRACE: A Compressed Communication Framework for Distributed Machine Learning. | Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis |