| 2026 | SIGCSE | Promoting Quantum-based Machine Learning through Multifaceted Activities. | Yong Shi, Dan C. Lo, Valentina Nino, Hongmei Chi, Kun Suo, Tu Nguyen |
| 2025 | EuroPar | A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering. | Nobel Dhar, Bobin Deng, Md. Romyull Islam, Xinyue Zhang, Kazi Fahim Ahmad Nasif, Kun Suo |
| 2025 | IPCCC | Assessing and Visualizing Completeness, Co-Coverage, and Scalability in Multivariate Time-Series Data. | Long Vu, Madeline Frank, Honghui Xu, Sisi Chen, Tu N. Nguyen, Selena He, Bobin Deng, Kun Suo |
| 2025 | ICTAI | AccelMD: A Self-Adaptive AI-Enabled Framework for Accelerating Molecular Dynamics Simulations. | Kazi Fahim Ahmad Nasif, Bobin Deng, Lingtao Chen, Yixin Xie, Shaolei Teng, Jiang Li, Liang Zhao, Syed Md Shamsul Alam, Nobel Dhar, Kun Suo, Dan Chia-Tien Lo |
| 2025 | MASS | Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges. | Md. Romyull Islam, Bobin Deng, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi, Kun Suo |
| 2025 | SIGCSE | Three-stage Learning with Portable Online Hands-on Labware for Quantum-based Machine Learning Development. | Yong Shi, Dan C. Lo, Hongmei Chi, Andrew Polisetty, Kun Suo, Tu Nguyen |
| 2025 | SOFTCOM | Minimizing Cost in Bistatic Radar Placement for Belt Coverage. | Ethan Hunt, Bing-Hong Liu, Tu N. Nguyen, Yong Shi, Kun Suo |
| 2024 | ECCV | FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion. | Xiaofeng Wu, Velibor Bojkovic, Bin Gu, Kun Suo, Kai Zou |
| 2024 | IPCCC | Activation Sparsity Opportunities for Compressing General Large Language Models. | Nobel Dhar, Bobin Deng, Md. Romyull Islam, Kazi Fahim Ahmad Nasif, Liang Zhao, Kun Suo |
| 2024 | IPCCC | Characterizing and Understanding the Performance of Small Language Models on Edge Devices. | Md. Romyull Islam, Nobel Dhar, Bobin Deng, Tu N. Nguyen, Selena He, Kun Suo |
| 2022 | IPCCC | Energy Efficiency on Edge Computing: Challenges and Vision. | Tyler Holmes, Charlie McLarty, Yong Shi, Patrick Bobbie, Kun Suo |
| 2022 | IPCCC | Keep Clear of the Edges : An Empirical Study of Artificial Intelligence Workload Performance and Resource Footprint on Edge Devices. | Kun Suo, Tu N. Nguyen, Yong Shi, Jing Selena He, Chih-Cheng Hung |
| 2022 | MOBICOM | 5G network slicing and drone-assisted applications: a deep reinforcement learning approach. | Linh Le, Tu N. Nguyen, Kun Suo, Jing (Selena) He |
| 2021 | CLUSTER | Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing. | Kun Suo, Junggab Son, Dazhao Cheng, Wei Chen, Sabur Baidya |
| 2021 | EuroSys | Parallelizing packet processing in container overlay networks. | Jiaxin Lei, Manish Munikar, Kun Suo, Hui Lu, Jia Rao |
| 2021 | SAC | Quantifying context switch overhead of artificial intelligence workloads on the cloud and edges. | Kun Suo, Yong Shi, Chih-Cheng Hung, Patrick Bobbie |
| 2020 | CLUSTER | Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. | Wei Rang, Donglin Yang, Dazhao Cheng, Kun Suo, Wei Chen |
| 2020 | SIGCOMM | Tackling Cold Start in Serverless Computing with Container Runtime Reusing. | Kun Suo, Yong Shi, Xiaohua Xu, Dazhao Cheng, Wei Chen |
| 2019 | GPC | CNTC: A Container Aware Network Traffic Control Framework. | Lin Gu, Junjian Guan, Song Wu, Hai Jin, Jia Rao, Kun Suo, Deze Zeng |
| 2019 | HPDC | Adaptive Resource Views for Containers. | Hang Huang, Jia Rao, Song Wu, Hai Jin, Kun Suo, Xiaofeng Wu |
| 2019 | HPDC | Preemptive Multi-Queue Fair Queuing. | Yong Zhao, Kun Suo, Xiaofeng Wu, Jia Rao, Song Wu, Hai Jin |
| 2018 | EuroSys | Characterizing and optimizing hotspot parallel garbage collection on multicore systems. | Kun Suo, Jia Rao, Hong Jiang, Witawas Srisa-an |
| 2018 | ICDCS | vNetTracer: Efficient and Programmable Packet Tracing in Virtualized Networks. | Kun Suo, Yong Zhao, Wei Chen, Jia Rao |
| 2018 | INFOCOM | Demo/poster abstract: Efficient and flexible packet tracing for virtualized networks using eBPF. | Kun Suo, Yong Zhao, Wei Chen, Jia Rao |
| 2018 | INFOCOM | An Analysis and Empirical Study of Container Networks. | Kun Suo, Yong Zhao, Wei Chen, Jia Rao |
| 2017 | CLOUD | Preserving I/O prioritization in virtualized OSes. | Kun Suo, Yong Zhao, Jia Rao, Luwei Cheng, Xiaobo Zhou, Francis C. M. Lau |
| 2017 | Middleware | Scheduler activations for interference-resilient SMP virtual machine scheduling. | Yong Zhao, Kun Suo, Luwei Cheng, Jia Rao |