Time Capsule: Tracing Packet Latency across Different Layers in Virtualized Systems. - Kun Suo; Jia Rao; Luwei Cheng; Francis C. M. Lau 001 (APSys, 2016)

Preserving I/O prioritization in virtualized OSes. - Kun Suo; Yong Zhao; Jia Rao; Luwei Cheng; Xiaobo Zhou 002; Francis C. M. Lau 001 (SoCC, 2017)

Scheduler activations for interference-resilient SMP virtual machine scheduling. - Yong Zhao; Kun Suo; Luwei Cheng; Jia Rao (Middleware, 2017)

Characterizing and optimizing hotspot parallel garbage collection on multicore systems. - Kun Suo; Jia Rao; Hong Jiang 001; Witawas Srisa-an (EuroSys, 2018)

A Side-channel Attack on HotSpot Heap Management. - Xiaofeng Wu 002; Kun Suo; Yong Zhao; Jia Rao (HotCloud, 2018)

vNetTracer: Efficient and Programmable Packet Tracing in Virtualized Networks. - Kun Suo; Yong Zhao; Wei Chen 038; Jia Rao (ICDCS, 2018)

Demo/poster abstract: Efficient and flexible packet tracing for virtualized networks using eBPF. - Kun Suo; Yong Zhao; Wei Chen 038; Jia Rao (INFOCOM Workshops, 2018)

An Analysis and Empirical Study of Container Networks. - Kun Suo; Yong Zhao; Wei Chen 038; Jia Rao (INFOCOM, 2018)

CNTC: A Container Aware Network Traffic Control Framework. - Lin Gu 002; Junjian Guan; Song Wu 001; Hai Jin 001; Jia Rao; Kun Suo; Deze Zeng (GPC, 2019)

Tackling Parallelization Challenges of Kernel Network Stack for Container Overlay Networks. - Jiaxin Lei; Kun Suo; Hui Lu 001; Jia Rao (HotCloud, 2019)

Adaptive Resource Views for Containers. - Hang Huang; Jia Rao; Song Wu 001; Hai Jin 001; Kun Suo; Xiaofeng Wu 002 (HPDC, 2019)

Preemptive Multi-Queue Fair Queuing. - Yong Zhao; Kun Suo; Xiaofeng Wu 002; Jia Rao; Song Wu 001; Hai Jin 001 (HPDC, 2019)

Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. - Wei Rang; Donglin Yang; Dazhao Cheng; Kun Suo; Wei Chen 038 (CLUSTER, 2020)

Tackling Cold Start in Serverless Computing with Container Runtime Reusing. - Kun Suo; Yong Shi 002; Xiaohua Xu 002; Dazhao Cheng; Wei Chen 038 (NAI@SIGCOMM, 2020)

IoT Bonet and Network Intrusion Detection using Dimensionality Reduction and Supervised Machine Learning. - Madhuri Gurunathrao Desai; Yong Shi 002; Kun Suo (UEMCON, 2020)

A study of state-of-the-art energy saving on edges. - Kousalya Banka; Kun Suo; Yong Shi 002; Sabur Baidya (ACM Southeast Conference, 2021)

An empirical study of thermal attacks on edge platforms. - Justin Duchatellier; Tyler Holmes; Kun Suo; Yong Shi 002 (ACM Southeast Conference, 2021)

Characterizing networking performance and interrupt overhead of container overlay networks. - Kun Suo; Yong Shi 002; Ahyoung Lee; Sabur Baidya (ACM Southeast Conference, 2021)

Outlier Prediction Using Random Forest Classifier. - Divya Pramasani Mohandoss; Yong Shi 002; Kun Suo (CCWC, 2021)

Towards Optimizing Task Scheduling Process in Cloud Environment. - Yong Shi 002; Kun Suo; Jameson Hodge; Divya Pramasani Mohandoss; Steven Kemp (CCWC, 2021)

Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing. - Kun Suo; Junggab Son; Dazhao Cheng; Wei Chen 038; Sabur Baidya (CLUSTER, 2021)

Parallelizing packet processing in container overlay networks. - Jiaxin Lei; Manish Munikar; Kun Suo; Hui Lu 001; Jia Rao (EuroSys, 2021)

Quantifying context switch overhead of artificial intelligence workloads on the cloud and edges. - Kun Suo; Yong Shi 002; Chih-Cheng Hung; Patrick Bobbie (SAC, 2021)

Energy Efficiency on Edge Computing: Challenges and Vision. - Tyler Holmes; Charlie McLarty; Yong Shi 002; Patrick Bobbie; Kun Suo (IPCCC, 2022)

Keep Clear of the Edges : An Empirical Study of Artificial Intelligence Workload Performance and Resource Footprint on Edge Devices. - Kun Suo; Tu N. Nguyen 001; Yong Shi 002; Jing Selena He; Chih-Cheng Hung (IPCCC, 2022)

5G network slicing and drone-assisted applications: a deep reinforcement learning approach. - Linh Le; Tu N. Nguyen 001; Kun Suo; Jing (Selena) He (DroneCom@MobiCom, 2022)

Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement Learning Approach. - Linh Le; Tu N. Nguyen 001; Kun Suo; Jing He 001 (CoRR, 2022)

Robust Efficient License Plate and Character Detection System Based on Simplified CNN. - Selena He; Tu N. Nguyen 001; Kun Suo (ACM Southeast Regional Conference, 2023)

Quantum Machine Learning for Security Data Analysis. - Dhanunjai Bandi; Yong Shi 002; Hossain Shahriar; Dan C. Lo; Kun Suo; Hongmei Chi; Kai Qian (AIIoT, 2023)

An empirical analysis of image augmentation against model inversion attack in federated learning. - Seunghyeon Shin; Mallika Boyapati; Kun Suo; Kyungtae Kang; Junggab Son (Clust. Comput., 2023)

Adapt Burstable Containers to Variable CPU Resources. - Hang Huang; Yuqing Zhao; Jia Rao; Song Wu 001; Hai Jin 001; Duoqiang Wang; Kun Suo; Lisong Pan (IEEE Trans. Computers, 2023)

Characterizing and optimizing Kernel resource isolation for containers. - Kun Wang 005; Song Wu 001; Kun Suo; Yijie Liu; Hang Huang; Zhuo Huang; Hai Jin 001 (Future Gener. Comput. Syst., 2023)

An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices. - Nobel Dhar; Bobin Deng; Dan C. Lo; Xiaofeng Wu 002; Liang Zhao 024; Kun Suo (ACM Southeast Regional Conference, 2024)

Building a Resilient and Sustainable Grid: A Study of Challenges and Opportunities in AI for Smart Virtual Power Plants. - Md. Romyull Islam; Long Vu; Nobel Dhar; Bobin Deng; Kun Suo (ACM Southeast Regional Conference, 2024)

A Systematic Investigation of Hardware and Software in Electric Vehicular Platform. - Kun Suo; Long Vu; Md. Romyull Islam; Nobel Dhar; Tu N. Nguyen 001; Selena He; Xiaofeng Wu 002 (ACM Southeast Regional Conference, 2024)

Living on the Electric Vehicle and Cloud Era: A Study of Cyber Vulnerabilities, Potential Impacts, and Possible Strategies. - Long Vu; Kun Suo; Md. Romyull Islam; Nobel Dhar; Tu N. Nguyen 001; Selena He; Yong Shi 002 (ACM Southeast Regional Conference, 2024)

A Hardware-in-the-Loop Wireless System Design: Benchmarking NFV Network Services. - Dillon J. Horton; Thai T. Vu; Tu N. Nguyen 001; Kun Suo; Ahyoung Lee; Selena He; Yong Shi 002 (CAMAD, 2024)

FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion. - Xiaofeng Wu 002; Velibor Bojkovic; Bin Gu 001; Kun Suo; Kai Zou (ECCV (69), 2024)

Enhancing Genomic Datasets with cGANs: A Study on Synthetic DNA Sequences for Non-Human Species. - Nishat Tasnim; Yong Shi 002; Kun Suo; Xinyue Zhang 001 (ICECET, 2024)

Activation Sparsity Opportunities for Compressing General Large Language Models. - Nobel Dhar; Bobin Deng; Md. Romyull Islam; Kazi Fahim Ahmad Nasif; Liang Zhao 024; Kun Suo (IPCCC, 2024)

Characterizing and Understanding the Performance of Small Language Models on Edge Devices. - Md. Romyull Islam; Nobel Dhar; Bobin Deng; Tu N. Nguyen 001; Selena He; Kun Suo (IPCCC, 2024)

Improving Energy Efficiency and Reliability by Optimizing Gateway Placement in Dense LoRaWAN Networks. - Jui Mhatre; Ahyoung Lee; Hoseon Lee; Tu N. Nguyen 001; Kun Suo (WF-IoT, 2024)

Incendio: Priority-Based Scheduling for Alleviating Cold Start in Serverless Computing. - Xinquan Cai; Qianlong Sang; Chuang Hu; Yili Gong; Kun Suo; Xiaobo Zhou 002; Dazhao Cheng (IEEE Trans. Computers, 2024)

vKernel: Enhancing Container Isolation via Private Code and Data. - Hang Huang; Honglei Wang; Jia Rao; Song Wu 001; Hao Fan 006; Chen Yu 003; Hai Jin 001; Kun Suo; Lisong Pan (IEEE Trans. Computers, 2024)

Fixed-point Encoding and Architecture Exploration for Residue Number Systems. - Bobin Deng; Bhargava Nadendla; Kun Suo; Chloe Yixin Xie; Dan Chia-Tien Lo (ACM Trans. Archit. Code Optim., 2024)

QoS-Aware Power Management via Scheduling and Governing Co-Optimization on Mobile Devices. - Qianlong Sang; Jinqi Yan; Rui Xie; Chuang Hu; Kun Suo; Dazhao Cheng (IEEE Trans. Mob. Comput., 2024)

A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering. - Nobel Dhar; Bobin Deng; Md. Romyull Islam; Xinyue Zhang 001; Kazi Fahim Ahmad Nasif; Kun Suo (Euro-Par (1), 2025)

Three-stage Learning with Portable Online Hands-on Labware for Quantum-based Machine Learning Development. - Yong Shi 002; Dan C. Lo; Hongmei Chi; Andrew Polisetty; Kun Suo; Tu Nguyen 001 (SIGCSE (2), 2025)