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| 2025 | A Gittins Policy for Optimizing Tail Latency. | Amit Harlev, George Yu, Ziv Scully |
| 2025 | DiskAdapt: Hard Disk Failure Prediction based on Pre-Training and Fine-Tuning. | Rongjia Han, Kunzheng Lv, Peishun Liu, Yashi Huang, Quanjie Dou, Tian Yin, Hengtao Wang, Yibao Song |
| 2025 | ScaleOPT: A Scalable Optimal Page Replacement Policy Simulator. | HyungSeok Han, Sangjin Lee, Yongseok Son |
| 2025 | Beyond App Markets: Demystifying Underground Mobile App Distribution Via Telegram. | Yanhui Guo, Dong Wang, Liu Wang, Yongsheng Fang, Chao Wang, Minghui Yang, Tianming Liu, Haoyu Wang |
| 2025 | Steady-State Convergence of the Continuous-Time Routing System with General Distributions in Heavy Traffic. | Jin Guang, Yaosheng Xu, Jian Gang Dai |
| 2025 | PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures. | Christina Giannoula, Peiming Yang, Ivan Fernandez, Jiacheng Yang, Sankeerth Durvasula, Yu Xin Li, Mohammad Sadrosadati, Juan Gmez-Luna, Onur Mutlu, Gennady Pekhimenko |
| 2025 | PipeCo: Pipelining Cold Start of Deep Learning Inference Services on Serverless Platforms. | Jiaang Duan, Shiyou Qian, Hanwen Hu, Dingyu Yang, Jian Cao, Guangtao Xue |
| 2025 | Using Lock-Free Design for Throughput-Optimized Cache Eviction. | Chao Dong, Fang Wang, Hong Jiang, Dan Feng |
| 2025 | On the Distribution of Sojourn Times in Tandem Queues. | Florin Ciucu, Sima Mehri |
| 2025 | Improving Multiresource Job Scheduling with Markovian Service Rate Policies. | Zhongrui Chen, Isaac Grosof, Benjamin Berg |
| 2025 | Exploiting Kubernetes Autoscaling for Economic Denial of Sustainability. | Jonathan Chamberlain, Jilin Zheng, Zeying Zhu, Zaoxing Liu, David Starobinski |
| 2025 | Optimal Scheduling in a Quantum Switch: Capacity and Throughput Optimality. | Sanidhay Bhambay, Thirupathaiah Vasantam, Neil Walton |
| 2025 | Untitled record | Rushi Jayeshkumar Babaria, Minzhao Lyu, Gustavo Batista, Vijay Sivaraman |
| 2025 | Quantum Computing in the RAN with Qu4Fec: Closing Gaps Towards Quantum-based FEC Processors. | Nikolaos Apostolakis, Marta Sierra-Obea, Marco Gramaglia, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Fiore, Albert Banchs, Xavier Costa-Prez |
| 2025 | Two Choice Behavioral Game Dynamics with Myopic-Rational and Herding Players. | Khushboo Agarwal, Konstantin Avrachenkov, Raghupati Vyas, Veeraruna Kavitha |
| 2025 | NetJIT: Bridging the Gap from Traffic Prediction to Preknowledge for Distributed Machine Learning. | Xin Ai, Zijian Li, Yuanyi Zhu, Zixuan Chen, Sen Liu, Yang Xu |
| 2025 | Learning-Augmented Decentralized Online Convex Optimization in Networks. | Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren |
| 2025 | Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks. | Yan Dai, Longbo Huang |
| 2025 | Combinatorial Logistic Bandits. | Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C. S. Lui |
| 2025 | Application-driven Reexamination of Datacenter Microbursts. | Mohammad Hosseini, Sina Darabi, Hannaneh B. Pasandi, Mohammad Nakhjiri, Patrick Eugster |
| 2024 | Network Fairness Ambivalence: When Does Social Network Capital Mitigate or Amplify Unfairness? | Yiguang Zhang, Reetahan Mukhopadhyay, Augustin Chaintreau |
| 2024 | Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA. | Yixuan Zhang, Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2024 | Machine Learning Systems are Bloated and Vulnerable. | Huaifeng Zhang, Mohannad Alhanahnah, Fahmi Abdulqadir Ahmed, Dyako Fatih, Philipp Leitner, Ahmed Ali-Eldin |
| 2024 | Strongly Tail-Optimal Scheduling in the Light-Tailed M/G/1. | George Yu, Ziv Scully |