Kun Suo - RankMe

57 papers A* 1A 6B 2C 8Misc 2Journal 12Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Promoting Quantum-based Machine Learning through Multifaceted Activities. SIGCSE (2) Yong Shi, Dan C. Lo, Valentina Nino, Hongmei Chi, Kun Suo, Tu Nguyen
2025	—	`conf`	A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering. Euro-Par (1) Nobel Dhar, Bobin Deng, Md. Romyull Islam, Xinyue Zhang, Kazi Fahim Ahmad Nasif, Kun Suo
2025	J	`jnl`	A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering. CoRR Nobel Dhar, Bobin Deng, Md. Romyull Islam, Xinyue Zhang, Kazi Fahim Ahmad Nasif, Kun Suo
2025	B	`conf`	AccelMD: A Self-Adaptive AI-Enabled Framework for Accelerating Molecular Dynamics Simulations. ICTAI 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	C	`conf`	Assessing and Visualizing Completeness, Co-Coverage, and Scalability in Multivariate Time-Series Data. IPCCC Long Vu, Madeline Frank, Honghui Xu, Sisi Chen, Tu N. Nguyen, Selena He, Bobin Deng, Kun Suo
2025	B	`conf`	Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges. MASS Md. Romyull Islam, Bobin Deng, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi, Kun Suo
2025	J	`jnl`	Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges. CoRR Md Romyull Islam, Bobin Deng, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi, Kun Suo
2025	Misc	`conf`	Minimizing Cost in Bistatic Radar Placement for Belt Coverage. SoftCOM Ethan Hunt, Bing-Hong Liu, Tu N. Nguyen, Yong Shi, Kun Suo
2025	—	`conf`	Three-stage Learning with Portable Online Hands-on Labware for Quantum-based Machine Learning Development. SIGCSE (2) Yong Shi, Dan C. Lo, Hongmei Chi, Andrew Polisetty, Kun Suo, Tu Nguyen
2024	—	`conf`	A Hardware-in-the-Loop Wireless System Design: Benchmarking NFV Network Services. CAMAD Dillon J. Horton, Thai T. Vu, Tu N. Nguyen, Kun Suo, Ahyoung Lee, Selena He, Yong Shi
2024	—	`conf`	A Systematic Investigation of Hardware and Software in Electric Vehicular Platform. ACM Southeast Regional Conference Kun Suo, Long Vu, Md. Romyull Islam, Nobel Dhar, Tu N. Nguyen, Selena He, Xiaofeng Wu
2024	C	`conf`	Activation Sparsity Opportunities for Compressing General Large Language Models. IPCCC Nobel Dhar, Bobin Deng, Md. Romyull Islam, Kazi Fahim Ahmad Nasif, Liang Zhao, Kun Suo
2024	J	`jnl`	Activation Sparsity Opportunities for Compressing General Large Language Models. CoRR Nobel Dhar, Bobin Deng, Md. Romyull Islam, Kazi Fahim Ahmad Nasif, Liang Zhao, Kun Suo
2024	—	`conf`	An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices. ACM Southeast Regional Conference Nobel Dhar, Bobin Deng, Dan C. Lo, Xiaofeng Wu, Liang Zhao, Kun Suo
2024	—	`conf`	Building a Resilient and Sustainable Grid: A Study of Challenges and Opportunities in AI for Smart Virtual Power Plants. ACM Southeast Regional Conference Md. Romyull Islam, Long Vu, Nobel Dhar, Bobin Deng, Kun Suo
2024	C	`conf`	Characterizing and Understanding the Performance of Small Language Models on Edge Devices. IPCCC Md. Romyull Islam, Nobel Dhar, Bobin Deng, Tu N. Nguyen, Selena He, Kun Suo
2024	—	`conf`	Enhancing Genomic Datasets with cGANs: A Study on Synthetic DNA Sequences for Non-Human Species. ICECET Nishat Tasnim, Yong Shi, Kun Suo, Xinyue Zhang
2024	—	`conf`	FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion. ECCV (69) Xiaofeng Wu, Velibor Bojkovic, Bin Gu, Kun Suo, Kai Zou
2024	J	`jnl`	FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion. CoRR Xiaofeng Wu, Velibor Bojkovic, Bin Gu, Kun Suo, Kai Zou
2024	J	`jnl`	Fixed-point Encoding and Architecture Exploration for Residue Number Systems. ACM Trans. Archit. Code Optim. Bobin Deng, Bhargava Nadendla, Kun Suo, Yixin Xie, Dan Chia-Tien Lo
2024	—	`conf`	Improving Energy Efficiency and Reliability by Optimizing Gateway Placement in Dense LoRaWAN Networks. WF-IoT Jui Mhatre, Ahyoung Lee, Hoseon Lee, Tu N. Nguyen, Kun Suo
2024	J	`jnl`	Incendio: Priority-Based Scheduling for Alleviating Cold Start in Serverless Computing. IEEE Trans. Computers Xinquan Cai, Qianlong Sang, Chuang Hu, Yili Gong, Kun Suo, Xiaobo Zhou, Dazhao Cheng
2024	—	`conf`	Living on the Electric Vehicle and Cloud Era: A Study of Cyber Vulnerabilities, Potential Impacts, and Possible Strategies. ACM Southeast Regional Conference Long Vu, Kun Suo, Md. Romyull Islam, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi
2024	J	`jnl`	QoS-Aware Power Management via Scheduling and Governing Co-Optimization on Mobile Devices. IEEE Trans. Mob. Comput. Qianlong Sang, Jinqi Yan, Rui Xie, Chuang Hu, Kun Suo, Dazhao Cheng
2024	J	`jnl`	vKernel: Enhancing Container Isolation via Private Code and Data. IEEE Trans. Computers Hang Huang, Honglei Wang, Jia Rao, Song Wu, Hao Fan, Chen Yu, Hai Jin, Kun Suo, Lisong Pan
2023	J	`jnl`	Adapt Burstable Containers to Variable CPU Resources. IEEE Trans. Computers Hang Huang, Yuqing Zhao, Jia Rao, Song Wu, Hai Jin, Duoqiang Wang, Kun Suo, Lisong Pan
2023	J	`jnl`	An empirical analysis of image augmentation against model inversion attack in federated learning. Clust. Comput. Seunghyeon Shin, Mallika Boyapati, Kun Suo, Kyungtae Kang, Junggab Son
2023	J	`jnl`	Characterizing and optimizing Kernel resource isolation for containers. Future Gener. Comput. Syst. Kun Wang, Song Wu, Kun Suo, Yijie Liu, Hang Huang, Zhuo Huang, Hai Jin
2023	—	`conf`	Quantum Machine Learning for Security Data Analysis. AIIoT Dhanunjai Bandi, Yong Shi, Hossain Shahriar, Dan C. Lo, Kun Suo, Hongmei Chi, Kai Qian
2023	—	`conf`	Robust Efficient License Plate and Character Detection System Based on Simplified CNN. ACM Southeast Regional Conference Selena He, Tu N. Nguyen, Kun Suo
2022	—	`conf`	5G network slicing and drone-assisted applications: a deep reinforcement learning approach. DroneCom@MobiCom Linh Le, Tu N. Nguyen, Kun Suo, Jing (Selena) He
2022	J	`jnl`	Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement Learning Approach. CoRR Linh Le, Tu N. Nguyen, Kun Suo, Jing He
2022	C	`conf`	Energy Efficiency on Edge Computing: Challenges and Vision. IPCCC Tyler Holmes, Charlie McLarty, Yong Shi, Patrick Bobbie, Kun Suo
2022	C	`conf`	Keep Clear of the Edges : An Empirical Study of Artificial Intelligence Workload Performance and Resource Footprint on Edge Devices. IPCCC Kun Suo, Tu N. Nguyen, Yong Shi, Jing Selena He, Chih-Cheng Hung
2021	—	`conf`	A study of state-of-the-art energy saving on edges. ACM Southeast Conference Kousalya Banka, Kun Suo, Yong Shi, Sabur Baidya
2021	—	`conf`	An empirical study of thermal attacks on edge platforms. ACM Southeast Conference Justin Duchatellier, Tyler Holmes, Kun Suo, Yong Shi
2021	—	`conf`	Characterizing networking performance and interrupt overhead of container overlay networks. ACM Southeast Conference Kun Suo, Yong Shi, Ahyoung Lee, Sabur Baidya
2021	—	`conf`	Outlier Prediction Using Random Forest Classifier. CCWC Divya Pramasani Mohandoss, Yong Shi, Kun Suo
2021	A	`conf`	Parallelizing packet processing in container overlay networks. EuroSys Jiaxin Lei, Manish Munikar, Kun Suo, Hui Lu, Jia Rao
2021	Misc	`conf`	Quantifying context switch overhead of artificial intelligence workloads on the cloud and edges. SAC Kun Suo, Yong Shi, Chih-Cheng Hung, Patrick Bobbie
2021	C	`conf`	Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing. CLUSTER Kun Suo, Junggab Son, Dazhao Cheng, Wei Chen, Sabur Baidya
2021	—	`conf`	Towards Optimizing Task Scheduling Process in Cloud Environment. CCWC Yong Shi, Kun Suo, Jameson Hodge, Divya Pramasani Mohandoss, Steven Kemp
2020	C	`conf`	Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. CLUSTER Wei Rang, Donglin Yang, Dazhao Cheng, Kun Suo, Wei Chen
2020	—	`conf`	IoT Bonet and Network Intrusion Detection using Dimensionality Reduction and Supervised Machine Learning. UEMCON Madhuri Gurunathrao Desai, Yong Shi, Kun Suo
2020	—	`conf`	Tackling Cold Start in Serverless Computing with Container Runtime Reusing. NAI@SIGCOMM Kun Suo, Yong Shi, XiaoHua Xu, Dazhao Cheng, Wei Chen
2019	A	`conf`	Adaptive Resource Views for Containers. HPDC Hang Huang, Jia Rao, Song Wu, Hai Jin, Kun Suo, Xiaofeng Wu
2019	C	`conf`	CNTC: A Container Aware Network Traffic Control Framework. GPC Lin Gu, Junjian Guan, Song Wu, Hai Jin, Jia Rao, Kun Suo, Deze Zeng
2019	A	`conf`	Preemptive Multi-Queue Fair Queuing. HPDC Yong Zhao, Kun Suo, Xiaofeng Wu, Jia Rao, Song Wu, Hai Jin
2019	—	`conf`	Tackling Parallelization Challenges of Kernel Network Stack for Container Overlay Networks. HotCloud Jiaxin Lei, Kun Suo, Hui Lu, Jia Rao
2018	—	`conf`	A Side-channel Attack on HotSpot Heap Management. HotCloud Xiaofeng Wu, Kun Suo, Yong Zhao, Jia Rao
2018	A*	`conf`	An Analysis and Empirical Study of Container Networks. INFOCOM Kun Suo, Yong Zhao, Wei Chen, Jia Rao
2018	A	`conf`	Characterizing and optimizing hotspot parallel garbage collection on multicore systems. EuroSys Kun Suo, Jia Rao, Hong Jiang, Witawas Srisa-an
2018	—	`conf`	Demo/poster abstract: Efficient and flexible packet tracing for virtualized networks using eBPF. INFOCOM Workshops Kun Suo, Yong Zhao, Wei Chen, Jia Rao
2018	A	`conf`	vNetTracer: Efficient and Programmable Packet Tracing in Virtualized Networks. ICDCS Kun Suo, Yong Zhao, Wei Chen, Jia Rao
2017	—	`conf`	Preserving I/O prioritization in virtualized OSes. SoCC Kun Suo, Yong Zhao, Jia Rao, Luwei Cheng, Xiaobo Zhou, Francis C. M. Lau
2017	A	`conf`	Scheduler activations for interference-resilient SMP virtual machine scheduling. Middleware Yong Zhao, Kun Suo, Luwei Cheng, Jia Rao
2016	—	`conf`	Time Capsule: Tracing Packet Latency across Different Layers in Virtualized Systems. APSys Kun Suo, Jia Rao, Luwei Cheng, Francis C. M. Lau