[EuroSys 2024]
Improving Resource and Energy Efficiency for Cloud 3D through Excessive Rendering Reduction
Tianyi Liu, Jerry Lucas, Sen He, Tongping Liu, Xiaoyin Wang, and Wei Wang
European Conference on Computer Systems

[SIGCSE 2024 Poster]
Python Programming Education with Semantics-oriented Screen Reading for K-12 Students with Vision Impairments
God’salvation F. Oguibe, Lauryn M. Castro, Katherine Cantrell, Kathy B. Ewoldt, Leslie Cockerill Neely, and Wei Wang
ACM Technical Symposium on Computer Science Education, Posters

[CHASE 2023]
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning
Yuntong Zhang, Jingye Xu, Mimi Xie, Dakai Zhu, Houbing Song, and Wei Wang
IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, 2023

[ISMM 2023]
NUMAlloc: A Faster NUMA Memory Allocator
Hanmei Yang, Xin Zhao, Jin Zhou, Wei Wang, Sandip Kundu, Bo Wu, Hui Guan, and Tongping Liu
ACM SIGPLAN International Symposium on Memory Management, 2023

[AI2ASE 2023]
Polar Sea-Ice Classification using Color-based Segmentation and Auto-labeling of Sentinel-2 Imagery to Train an Efficient Deep Learning Model
Jurdana Masuma Iqrah, Younghyun Koo, Wei Wang, Hongjie Xie, and Sushil Prasad
Annual AAAI Workshop on AI to Accelerate Science and Engineering, 2023

[SIGCSE 2023]
Virtual Summer Camp for High School Students with Disabilities – An Experience Report
Wei Wang, Kathy Ewoldt, Mimi Xie, Alberto Mestas-Nunez, Sean Soderman, and Jeffrey Wang
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, 2023

[ECCV 2022]
A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D
Tianyi Liu, Sen He, Vinodh Kumaran Jayakumar, Wei Wang
European Conference on Computer Vision, 2022

[IC2E 2022]
CloudBruno: A Low-Overhead Online Workload Prediction Framework for Cloud Computing
Vinodh Kumaran Jayakumar, Shivani Arbat, In Kee Kim, Wei Wang
IEEE International Conference on Cloud Engineering, 2022

[EDGE 2022]
EdgeFaaSBench: Benchmarking Edge Devices Using Serverless
Kaustubh Rajendra Rajput, Chinmay Dilip Kulkarni, Byungjin Cho, Wei Wang, In Kee Kim
IEEE International Conference on Edge Computing, 2022

[CCGrid 2022]
KneeScale: Efficient Resource Scaling for Serverless Computing at the Edge
Xue Li, Peng Kang, Jordan Molone, Wei Wang and Palden Lama
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, 2022

[AAAI/IAAI 2022]
Wasserstein Adversarial Transformer for Cloud Workload Prediction
Shivani Arbat, Vinodh K. Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim
Proceedings of the AAAI Conference on Artificial Intelligence, 36(11)

[ASE 2021]
Performance Testing for Cloud Computing with Dependent Data Bootstrapping
Sen He, Tianyi Liu, Palden Lama, Jaewoo Lee, In Kee Kim, Wei Wang
IEEE/ACM International Conference on Automated Software Engineering, 2021

[CLOUD 2021 Short Paper]
An Empirical Analysis of VM Startup Times in Public IaaS Clouds
Jianwei Hao, Ting Jiang, Wei Wang, In Kee Kim
IEEE International Conference on Cloud Computing, Short Paper, 2021

[ICS 2021]
NumaPerf: Predictive NUMA Profiling
Xin Zhao, Jin Zhou, Hui Guan, Wei Wang, Xu Liu, Tongping Liu
International Conference on Supercomputing, 2021

[TCC 2021]
Online Performance Modeling and Prediction for Single-VM Applications in Multi-Tenant Clouds
Hamidreza Moradi, Wei Wang, and Dakai Zhu
IEEE Transactions on Cloud Computing

[MICRO 2020]
A Benchmarking Framework for Interactive 3D Applications in the Cloud
Tianyi Liu, Sen He, Sunzhou Huang, Danny Tsang, Lingjia Tang, Jason Mars, Wei Wang
IEEE/ACM International Symposium on Microarchitecture

[HPCC 2020]
DiHi: Distributed and Hierarchical Performance Modeling of Multi-VM Cloud Running Applications
Hamidreza Moradi, Wei Wang, and Dakai Zhu
Proceedings of IEEE International Conference on High Performance Computing and Communications, 2020.

[TCC 2020]
Forecasting Cloud Application Workloads with CloudInsight for Predictive Resource Management
In Kee Kim, Wei Wang, Yanjun Qi and Marty Humphrey
IEEE Transactions on Cloud Computing

[TCC 2020]
Guaranteeing Performance SLAs of Cloud Applications under Resource Storms
In Kee Kim, Jinho Hwang, Wei Wang, and Marty Humphrey
IEEE Transactions on Cloud Computing

[IPDPS 2020]
A Self-Optimized Generic Workload Prediction Framework for Cloud Computing
Vinodh K. Jayakumar, Jaewoo Lee, In Kee Kim, Wei Wang
Proceedings of 34th IEEE International Parallel and Distributed Processing Symposium, 2020.

[IC2E 2020]
uPredict: A User-Level Profiler-Based Predictive Framework in Multi-Tenant Clouds
Hamidreza Moradi, Wei Wang, Amanda Fernandez and Dakai Zhu
Proceedings of IEEE International Conference on Cloud Engineering, 2020.

[HPCC 2019]
Adaptive Performance Modeling and Prediction of Applications in Multi-Tenant Clouds
Hamidreza Moradi, Wei Wang, and Dakai Zhu
Proceedings of IEEE International Conference on High Performance Computing and Communications, 2019.
[IGSC 2019]
Energy-Oriented Designs of an Augmented-Reality Application on a VUZIX Blade Smart Glass
Corridon McKelvey, Richard Dreyer, Donnel Zhu, Wei Wang and John Quarles
Proceedings of IEEE International Green and Sustainable Computing Conference, 2019. Best Paper Presentation Award.

[CLOUD 2018]
CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads
In Kee Kim, Wei Wang, Yanjun Qi and Marty Humphrey
Proceedings of IEEE International Conference on Cloud Computing, Regular Paper Track, 2018

[CLOUD 2018]
Flexible VM Provisioning for Time-Sensitive Applications with Multiple Execution Options
Rehana Begam, Hamidreza Moradi, Wei Wang, and Dakai Zhu
Proceedings of IEEE International Conference on Cloud Computing, Regular Paper Track, 2018

[ISPDC 2018]
Orchestra: Guaranteeing Performance SLAs for CloudApplications by Avoiding Resource Storms
In Kee Kim, Jinho Hwang, Wei Wang, and Marty Humphrey
Proceedings of IEEE International Symposium on Parallel and Distributed Computing, 2018

[PLDI 2018]
iReplayer: In-situ and Identical Record-and-Replay for Multithreaded Applications
Hongyu Liu, Sam Silvestro, Wei Wang, Chen Tian, and Tongping Liu
ACM SIGPLAN Conference on Programming Language Design and Implementation, June, 2018

[ICST 2018]
Testing Cloud Applications under Cloud-Uncertainty Performance Effect
Wei Wang, Ningjing Tian, Sunzhou Huang, Sen He, Abhijeet Srivastava, Mary Lou Soffa, and Lori Pollock
Proceedings of IEEE Conference on Software Testing, Validation and Verification, April, 2018

[HPCC 2017]
Virtual Machine Provisioning for Applications with Multiple Deadlines in Resource-Constrained Clouds
Rehana Begam, Wei Wang, and Dakai Zhu
Proceedings of IEEE International Conference on High Performance Computing and Communications, 2017

[TCC 2017]
TIMER-Cloud: Time-Sensitive VM Provisioning in Resource-Constrained Clouds
Rehana Begam, Wei Wang, and Dakai Zhu
IEEE Transactions on Cloud Computing, Nov, 2017

[CLOUD 2016]
Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling
In Kee Kim, Wei Wang, Yanjun Qi and Marty Humphrey
Proceedings of IEEE International Conference on Cloud Computing, Research Track, 2016, Acceptance rate 15%.

[HPCA 2016]
Predicting the Memory Bandwidth and Optimal Core Allocations for Multi-threaded Applications on Large-scale NUMA Machines
Wei Wang, Jack Davidson and Mary Lou Soffa
Proceedings of the 22nd IEEE International Symposium on High Performance Computer Architecture, Barcelona, Spain, 2106, Acceptance rate 22%.

[CLOUD 2015]
PICS: A Public IaaS Cloud Simulator
In Kee Kim, Wei Wang, and Marty Humphrey
IEEE International Conference on Cloud Computing, Research Track, New York, USA, 2015, Acceptance rate 17%.

[HPCA 2014]
DraMon:Predicting Memory Bandwidth Usage of Multi-threaded Programs with High Accuracy and Low Overhead
Wei Wang, Tanima Dey, Jack Davidson and Mary Lou Soffa
Proceedings of the 20th IEEE International Symposium on High Performance Computer Architecture, Orlando, FL, USA, (2014), Acceptance Rate 25.6%.

[TACO/HiPEAC 2014]
ReSense: Mapping Dynamic Workloads of Co-located Multi-threaded Applications using Resource Sensitivity
Tanima Dey, Wei Wang, Jack Davidson and Mary Lou Soffa
HiPEAC, ACM Transactions on Architecture and Code Optimization (TACO), Vienna, Austria, 2014

[ASPLOS 2013]
ReQoS: Reactive Static/Dynamic Compilation for QoS in Warehouse Scale Computers
Lingjia Tang, Jason Mars, Wei Wang, Tanima Dey, and Mary Lou Soffa
Proceedings of the 18th International Conference on Architectural Support for Programming Languages and Operating Systems, Houston, TX, USA, 2013, Acceptance Rate 23%.

[ISPASS 2012]
Performance Analysis of Thread Mappings with a Holistic View of the Hardware Resources
Wei Wang, Tanima Dey, Jason Mars, Lingjia Tang, Jack Davidson, and Mary Lou Soffa
Proceedings of IEEE International Symposium on Performance Analysis of Systems and Software, New Brunswick, NJ, USA, 2012

[VEE 2012]
REEact: A Customizable Virtual Execution Manager for Multicore Platforms
Wei Wang, Tanima Dey, Ryan Moore, Mahmut Aktasoglu, Bruce Childers, Jack Davidson, Mary Jane Irwin, Mahmut Kandemir, and Mary Lou Soffa
Proceedings of the 8th ACM SIGPLAN/SIGOPS conference on Virtual Execution Environments, London, UK, 2012

[ISPASS 2011]
Characterizing Multi-threaded Applications Based on Shared-resource Contention
Tanima Dey, Wei Wang, Jack Davidson, and Mary Lou Soffa
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, Austin, TX, USA, 2011