Qiang Guan

173 papers A* 6A 11B 13C 16Misc 14Journal 64Unranked 49
YearRankTypeTitle / Venue / Authors
2026 J jnl
Architectural Foundations for Checkpointing and Restoration in Quantum HPC Systems.
CoRR
Qiang Guan, Qinglei Cao, Xiaoyi Lu, Siyuan Niu
2026 J jnl
End-to-end motion detection via multi-scale spatial-temporal feature fusion for dual-view 3D macaque behavior quantification.
Expert Syst. Appl.
Zhiyuan Chen, Zongli Jiang, Qiang Guan, Xibo Ma
2026 J jnl
Ethics of trustworthy AI in healthcare: Challenges, principles, and practical pathways.
Neurocomputing
Pegah Ahadian, Wei Xu, Dongfang Liu, Qiang Guan
2026 J jnl
Q-Bridge: Code Translation for Quantum Machine Learning via LLMs.
CoRR
Runjia Zeng, Priyabrata Senapati, Ruixiang Tang, Dongfang Liu, Qiang Guan
2026 J jnl
Shifting Uncertainty to Critical Moments: Towards Reliable Uncertainty Quantification for VLA Model.
CoRR
Yanchuan Tang, Taowen Wang, Yuefei Chen, Boxuan Zhang, Qiang Guan, Ruixiang Tang
2026 J jnl
TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching.
CoRR
Runjia Zeng, Qifan Wang, Qiang Guan, Ruixiang Tang, Lifu Huang, Zhenting Wang, Xueling Zhang, Cheng Han, Dongfang Liu
2025 — conf
A Digital Twin of Scalable Quantum Clouds.
SIGSIM-PADS
Waylon Luo, Betis Baheri, Travis S. Humble, Jiapeng Zhao, Tong Zhan, Rajan Maharjan, Qiang Guan
2025 J jnl
A Hybrid Quantum-AI Framework for Protein Structure Prediction on NISQ Devices.
CoRR
Yuqi Zhang, Yuxin Yang, Feixiong Chen, Cheng-Chang Lu, Nima Saeidi, Samuel L. Volchenboum, Junhan Zhao, Siwei Chen, Weiwen Jiang, Qiang Guan
2025 — conf
A Simulation Framework for Workload Management in Hybrid Quantum-HPC Cloud System.
SC Workshops
Waylon Luo, Cheng-Chang Lu, Tong Zhan, Qiang Guan
2025 — conf
AI-Augmented Parameter Initialization for QAOA.
DSN-W
Jai Nana, Xinpeng Li, Ning Xie, Shusen Pu, Yifan Yu, Qiang Guan, Xiaotian Han, Shuai Xu, Vipin Chaudhary
2025 B conf
ALYMPICS: LLM Agents Meet Game Theory.
COLING
Shaoguang Mao, Yuzhe Cai, Yan Xia, Wenshan Wu, Xun Wang, Fengyi Wang, Qiang Guan, Tao Ge, Furu Wei
2025 B conf
Adaptive Job Scheduling in Quantum Clouds Using Reinforcement Learning.
ICPP
Waylon Luo, Jiapeng Zhao, Tong Zhan, Qiang Guan
2025 J jnl
Adaptive Job Scheduling in Quantum Clouds Using Reinforcement Learning.
CoRR
Waylon Luo, Jiapeng Zhao, Tong Zhan, Qiang Guan
2025 A* conf
Can Large Language Models Understand Intermediate Representations in Compilers?
ICML
Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan
2025 J jnl
Can Large Language Models Understand Intermediate Representations?
CoRR
Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan
2025 J jnl
EVLP:Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuning.
CoRR
Xinyan Cai, Shiguang Wu, Dafeng Chi, Yuzheng Zhuang, Xingyue Quan, Jianye Hao, Qiang Guan
2025 — conf
Intuit: Explain Quantum Computing Concepts via AR-based Analogy.
CHI Extended Abstracts
Manusha Karunathilaka, Shaolun Ruan, Linping Yuan, Jiannan Li, Zhiding Liang, Kavinda Athapaththu, Qiang Guan, Yong Wang
2025 J jnl
Intuit: Explain Quantum Computing Concepts via AR-based Analogy.
CoRR
Manusha Karunathilaka, Shaolun Ruan, Linping Yuan, Jiannan Li, Zhiding Liang, Kavinda Athapaththu, Qiang Guan, Yong Wang
2025 C conf
KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling.
IPCCC
Guilin Zhang, Wulan Guo, Ziqi Tan, Qiang Guan, Hailong Jiang
2025 J jnl
KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling.
CoRR
Guilin Zhang, Wulan Guo, Ziqi Tan, Qiang Guan, Hailong Jiang
2025 B conf
OAAgent: Multimodal LLM Agent for Predicting Knee Osteoarthritis Progression.
CHASE
Pegah Ahadian, Mingrui Yang, Eva Powlison, Xiaojuan Li, Wei Xu, Qiang Guan
2025 J jnl
Prediction of Protein Three-dimensional Structures via a Hardware-Executable Quantum Computing Framework.
CoRR
Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng-Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng
2025 J jnl
QDockBank: A Dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers.
CoRR
Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu, Weiwen Jiang, Feixiong Cheng, Bo Fang, Qiang Guan
2025 A conf
QDockBank: A dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers.
SC
Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu, Weiwen Jiang, Feixiong Cheng, Bo Fang, Qiang Guan
2025 — conf
Quantum Circuit Optimization for Protein Structure Prediction.
DSN-W
Xinpeng Li, Vinooth Rao Kulkarni, Jai Nana, Shusen Pu, Ning Xie, Qiang Guan, Ruihao Li, Shulei Zhang, Shuai Xu, Daniel Blankenberg, Vipin Chaudhary
2025 J jnl
Readout-Side Bypass for Residual Hybrid Quantum-Classical Models.
CoRR
Guilin Zhang, Wulan Guo, Ziqi Tan, Hongyang He, Qiang Guan, Hailong Jiang
2025 J jnl
Static Analysis and Transformation for Quantum Programming Languages [Focus: Quantum Software and Its Engineering].
IEEE Softw.
Joshua A. C. Behler, Ali F. Al-Ramadan, Betis Baheri, Michael L. Collard, Qiang Guan, Jonathan I. Maletic
2025 J jnl
Towards Explainable Quantum AI: Informing the Encoder Selection of Quantum Neural Networks via Visualization.
CoRR
Shaolun Ruan, Feng Liang, Rohan Ramakrishna, Chao Ren, Rudai Yan, Qiang Guan, Jiannan Li, Yong Wang
2025 C conf
UQ-VarQA: Benchmarking and Characterizing NISQ Computers Through Uncertainty Quantification of Variational Quantum Algorithms.
ICCD
Priyabrata Senapati, Shengye Zhu, Bo Peng, Bo Fang, Qiang Guan
2025 — conf
Visualization of Noisy and Less Noisy Computational Basis States in Quantum Computing.
QSW
Priyabrata Senapati, Qiang Guan, David Pugmire, Cheng Chang Lu, Tushar M. Athawale
2024 — conf
A Deep Multimodal Representation Learning Framework for Accurate Molecular Properties Prediction.
ACM Great Lakes Symposium on VLSI
Yuxin Yang, Zixu Wang, Pegah Ahadian, Abby Jerger, Jeremy Zucker, Song Feng, Feixiong Cheng, Qiang Guan
2024 B conf
A Lightweight Convolutional Neural Network for Personalized Blood Pressure Estimation Based on Photoplethysmography.
IJCNN
Jin Zhao, Qi Zhang, Caijie Qin, Tao Lu, Zhaoyi Ning, Qiang Guan, Xibo Ma
2024 J jnl
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits.
IEEE Trans. Dependable Secur. Comput.
Daniel Oliveira, Edoardo Giusto, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech
2024 — conf
AI Trustworthy Challenges in Drug Discovery.
TAI4H
Pegah Ahadian, Qiang Guan
2024 — conf
AMD: Automatic Multi-step Distillation of Large-Scale Vision Models.
ECCV (65)
Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu
2024 J jnl
AMD: Automatic Multi-step Distillation of Large-scale Vision Models.
CoRR
Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu
2024 B conf
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations.
IEEE Big Data
Pegah Ahadian, Wei Xu, Sherry Wang, Qiang Guan
2024 J jnl
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations.
CoRR
Pegah Ahadian, Wei Xu, Sherry Wang, Qiang Guan
2024 J jnl
An HPC-Container Based Continuous Integration Tool for Detecting Scaling and Performance Issues in HPC Applications.
IEEE Trans. Serv. Comput.
Jake Tronge, Jieyang Chen, Patricia Grubel, Tim Randles, Rusty Davis, Quincy Wofford, Steven Anaya, Qiang Guan
2024 J jnl
Approaches to Simultaneously Solving Variational Quantum Eigensolver Problems.
CoRR
Adam Hutchings, Eric Yarnot, Xinpeng Li, Qiang Guan, Ning Xie, Shuai Xu, Vipin Chaudhary
2024 A* conf
Diffusion-Inspired Truncated Sampler for Text-Video Retrieval.
NeurIPS
Jiamian Wang, Pichao Wang, Dongfang Liu, Qiang Guan, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao
2024 Misc conf
Efficient Circuit Wire Cutting Based on Commuting Groups.
QCE
Xinpeng Li, Vinooth Kulkarni, Daniel T. Chen, Qiang Guan, Weiwen Jiang, Ning Xie, Shuai Xu, Vipin Chaudhary
2024 J jnl
Efficient Circuit Wire Cutting Based on Commuting Groups.
CoRR
Xinpeng Li, Vinooth Kulkarni, Daniel T. Chen, Qiang Guan, Weiwen Jiang, Ning Xie, Shuai Xu, Vipin Chaudhary
2024 B conf
HAppA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded.
SRDS
Hailong Jiang, Jianfeng Zhu, Bo Fang, Kevin J. Barker, Chao Chen, Ruoming Jin, Qiang Guan
2024 — conf
Investigating Resilience of Loops in HPC Programs: A Semantic Approach with LLMs.
HPEC
Hailong Jiang, Jianfeng Zhu, Bo Fang, Chao Chen, Qiang Guan
2024 — conf
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis.
ACM Southeast Regional Conference
Pegah Ahadian, Yunhe Feng, Karl W. Kosko, Richard E. Ferdig, Qiang Guan
2024 J jnl
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis.
CoRR
Pegah Ahadian, Yunhe Feng, Karl W. Kosko, Richard E. Ferdig, Qiang Guan
2024 Misc conf
PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications.
QCE
Priyabrata Senapati, Samuel Yen-Chi Chen, Bo Fang, Tushar M. Athawale, Ang Li, Weiwen Jiang, Cheng Chang Lu, Qiang Guan
2024 A* conf
Prototypical Transformer As Unified Motion Learners.
ICML
Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu
2024 J jnl
Prototypical Transformer as Unified Motion Learners.
CoRR
Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer M. Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu
2024 J jnl
QuantumEyes: Towards Better Interpretability of Quantum Circuits.
IEEE Trans. Vis. Comput. Graph.
Shaolun Ruan, Qiang Guan, Paul Griffin, Ying Mao, Yong Wang
2024 — conf
Radiance Field Learners As UAV First-Person Viewers.
ECCV (61)
Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu
2024 J jnl
Radiance Field Learners As UAV First-Person Viewers.
CoRR
Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu
2024 — conf
SNNPG: Using Spiking Neural Networks to Detect Attacks in the Power Grid.
ICONS
Kendric Hood, Ang Li, Qiang Guan
2024 Misc conf
Supporting Static Program Analysis and Transformation of Quantum-Based Languages.
QCE
Joshua A. C. Behler, Ali F. Al-Ramadan, Betis Baheri, Qiang Guan, Jonathan I. Maletic
2024 J jnl
VIOLET: Visual Analytics for Explainable Quantum Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Griffin, Xiaolin Wen, Yanna Lin, Yong Wang
2024 J jnl
Which One Changes More? A Novel Radial Visualization for State Change Comparison.
CoRR
Shaolun Ruan, Yong Wang, Qiang Guan
2023 J jnl
: A isualization pproah for Noie Awarenss in Quatum Computing.
IEEE Trans. Vis. Comput. Graph.
Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
2023 A* conf
Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network.
DAC
Zhirui Hu, Youzuo Lin, Qiang Guan, Weiwen Jiang
2023 — conf
Carbon Emissions of Quantum Circuit Simulation: More than You Would Think.
IGSC
Jinyang Li, Qiang Guan, Dingwen Tao, Weiwen Jiang
2023 — conf
Continuous Exploration via Multiple Perspectives in Sparse Reward Environment.
PRCV (3)
Zhongpeng Chen, Qiang Guan
2023 C conf
Deep Learning-based Student Learning Behavior Understanding Framework in Real Classroom Scene.
ICMLA
Yuxin Yang, Zhengyong Ren, Chris Lenart, Ashton Corsello, Karl W. Kosko, Simon Su, Qiang Guan
2023 — conf
Efficient Quantum Circuit Cutting by Neglecting Basis Elements.
IPDPS Workshops
Daniel T. Chen, Ethan H. Hansen, Xinpeng Li, Vinooth Kulkarni, Vipin Chaudhary, Bin Ren, Qiang Guan, Sanmukh Kuppannagari, Ji Liu, Shuai Xu
2023 J jnl
Elastic Resource Management for Deep Learning Applications in a Container Cluster.
IEEE Trans. Cloud Comput.
Ying Mao, Vaishali Sharma, Wenjia Zheng, Long Cheng, Qiang Guan, Ang Li
2023 — conf
Enhancing Detailed Feedback to Chinese Writing Learners Using a Soft-Label Driven Approach and Tag-Aware Ranking Model.
NLPCC (1)
Yuzhe Cai, Shaoguang Mao, Chenshuo Wang, Tao Ge, Wenshan Wu, Yan Xia, Chanjin Zheng, Qiang Guan
2023 A* conf
Gaze Analysis System for Immersive 360° Video for Preservice Teacher Education.
ACM Multimedia
Chris Lenart, Pegah Ahadian, Yuxin Yang, Simon Suo, Ashton Corsello, Karl W. Kosko, Qiang Guan
2023 J jnl
Improving CNN-base Stock Trading By Considering Data Heterogeneity and Burst.
CoRR
Keer Yang, Guanqun Zhang, Chuan Bi, Qiang Guan, Hailu Xu, Shuai Xu
2023 — conf
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation.
SC Workshops
Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao
2023 J jnl
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation.
CoRR
Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao
2023 — conf
Machine Learning Applied to Single-Molecule Activity Prediction.
SC Workshops
Kendric Hood, Qiang Guan
2023 Misc conf
Online Detection of Golden Circuit Cutting Points.
QCE
Daniel T. Chen, Ethan H. Hansen, Xinpeng Li, Aaron Orenstein, Vinooth Kulkarni, Vipin Chaudhary, Qiang Guan, Ji Liu, Yang Zhang, Shuai Xu
2023 — conf
Quantum Computing Reliability: Problems, Tools, and Potential Solutions.
DSN-S
Edoardo Giusto, Emanuele Dri, Bartolomeo Montrucchio, Betis Baheri, Qiang Guan, Devesh Tiwari, Paolo Rech
2023 J jnl
QuantumEyes: Towards Better Interpretability of Quantum Circuits.
CoRR
Shaolun Ruan, Qiang Guan, Paul Griffin, Ying Mao, Yong Wang
2023 Misc conf
Toward Consistent High-Fidelity Quantum Learning on Unstable Devices via Efficient In-Situ Calibration.
QCE
Zhirui Hu, Robert Wolle, Mingzhen Tian, Qiang Guan, Travis S. Humble, Weiwen Jiang
2023 Misc conf
Towards Redefining the Reproducibility in Quantum Computing: A Data Analysis Approach on NISQ Devices.
QCE
Priyabrata Senapati, Zhepeng Wang, Weiwen Jiang, Travis S. Humble, Bo Fang, Shuai Xu, Qiang Guan
2023 Misc conf
Understanding the Effect of Transpilation in the Reliability of Quantum Circuits.
QCE
Nicola Dilillo, Edoardo Giusto, Emanuele Dri, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech
2023 J jnl
VENUS: A Geometrical Representation for Quantum State Visualization.
CoRR
Shaolun Ruan, Ribo Yuan, Yong Wang, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Qiang Guan
2023 J jnl
VIOLET: Visual Analytics for Explainable Quantum Neural Networks.
CoRR
Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Griffin, Xiaolin Wen, Yanna Lin, Yong Wang
2023 C conf
Visilience: An Interactive Visualization Framework for Resilience Analysis using Control-Flow Graph.
PRDC
Hailong Jiang, Shaolun Ruan, Bo Fang, Yong Wang, Qiang Guan
2022 — conf
A Privacy Preserving Video Surveillance System for Trauma Rooms.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Zhengyong Ren, Kambiz Ghazinour, Qiang Guan, Sara Bayramzadeh, Yuxin Yang
2022 J jnl
A deep convolutional neural network-based wavelength selection method for spectral characteristics of rice blast disease.
Comput. Electron. Agric.
Shuai Feng, Dongxue Zhao, Qiang Guan, Jinpeng Li, Ziyang Liu, Zhongyu Jin, Guangming Li, Tongyu Xu
2022 Misc conf
Approximate Quantum Circuit Reconstruction.
QCE
Daniel Chen, Betis Baheri, Vipin Chaudhary, Qiang Guan, Ning Xie, Shuai Xu
2022 A conf
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems.
DATE
Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu, Qiang Guan
2022 Misc conf
Demo: A Multi-Perspective Video Streaming System with Privacy Preservation in Trauma Room.
SEC
Zhengyong Ren, Yuxin Yang, Kambiz Ghazinour, Sara Bayramzadeh, Qiang Guan
2022 J jnl
Detection of Peanut Leaf Spot Disease Based on Leaf-, Plant-, and Field-Scale Hyperspectral Reflectance.
Remote. Sens.
Qiang Guan, Kai Song, Shuai Feng, Fenghua Yu, Tongyu Xu
2022 — conf
International Workshop on Quantum Classical Cooperative Computing (QCCC 2022).
IPDPS Workshops
Ang Li, Qiang Guan
2022 J jnl
Interval Modeling for Gamma Process Degradation Model.
Symmetry
Guihong Liu, Qiang Guan, Yincai Tang, Yunhuei Tzeng
2022 C conf
MARS: Malleable Actor-Critic Reinforcement Learning Scheduler.
IPCCC
Betis Baheri, Jacob Tronge, Bo Fang, Ang Li, Vipin Chaudhary, Qiang Guan
2022 J jnl
Making Invisible Visible: Data-Driven Seismic Inversion With Spatio-Temporally Constrained Data Augmentation.
IEEE Trans. Geosci. Remote. Sens.
Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin
2022 Misc conf
Pinpointing the System Reliability Degradation in NISQ Machines.
QCE
Betis Baheri, Zixuan Xu, Vipin Chaudhary, Ying Mao, Bo Fang, Shuai Xu, Qiang Guan
2022 — conf
QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity.
MLSys
Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Shuai Xu, Caiwen Ding
2022 A conf
QuFI: a Quantum Fault Injector to Measure the Reliability of Qubits and Quantum Circuits.
DSN
Daniel Oliveira, Edoardo Giusto, Emanuele Dri, Nadir Casciola, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech
2022 J jnl
QuFI: a Quantum Fault Injector to Measure the Reliability of Qubits and Quantum Circuits.
CoRR
Daniel Oliveira, Edoardo Giusto, Emanuele Dri, Nadir Casciola, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech
2022 C conf
Quantum Noise in the Flow of Time: A Temporal Study of the Noise in Quantum Computers.
IOLTS
Betis Baheri, Qiang Guan, Vipin Chaudhary, Ang Li
2022 — conf
SQCC: Smart Quantum Circuit Cutting.
IPDPS Workshops
Betis Baheri, Qiang Guan, Shuai Xu, Vipin Chaudhary
2022 — conf
STREAM: Prototype Development of a Digital Language Identifier.
HEALTHINF
Rebecca A. Meehan, Manisha Kumari, Qiang Guan, Sanda Katila, Joel Davidson, Nichole Egbert
2022 J jnl
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing.
CoRR
Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
2022 J jnl
Visilence: An Interactive Visualization Tool for Error Resilience Analysis.
CoRR
Shaolun Ruan, Yong Wang, Qiang Guan
2021 C conf
A Hybrid System for Learning Classical Data in Quantum States.
IPCCC
Samuel A. Stein, Ryan L'Abbate, Wenrui Mu, Yue Liu, Betis Baheri, Ying Mao, Qiang Guan, Ang Li, Bo Fang
2021 J jnl
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits.
CoRR
Daniel Oliveira, Edoardo Giusto, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech
2021 Misc conf
BEE Orchestrator: Running Complex Scientific Workflows on Multiple Systems.
HiPC
Jacob Tronge, Patricia Grubel, Timothy Randles, Quincy Wofford, Rusty Davis, Steven Anaya, Qiang Guan
2021 J jnl
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems.
CoRR
Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu, Qiang Guan
2021 A* conf
BeeSwarm: Enabling Parallel Scaling Performance Measurement in Continuous Integration for HPC Applications.
ASE
Jake Tronge, Jieyang Chen, Patricia Grubel, Tim Randles, Rusty Davis, Quincy Wofford, Steven Anaya, Qiang Guan
2021 C conf
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
CLUSTER
Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao
2021 J jnl
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
CoRR
Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao
2021 — conf
Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning.
IPDPS Workshops
Zhaochen Gu, Sihai Tang, Beilei Jiang, Song Huang, Qiang Guan, Song Fu
2021 — conf
GazeXR: A General Eye-Tracking System Enabling Invariable Gaze Data in Virtual Environment.
HCI (9)
Chris Lenart, Yuxin Yang, Zhiqing Gu, Cheng-Chang Lu, Karl W. Kosko, Richard E. Ferdig, Qiang Guan
2021 — conf
Intercept Graph: An Interactive Radial Visualization for Comparison of State Changes.
IEEE VIS (Short Papers)
Shaolun Ruan, Yong Wang, Qiang Guan
2021 J jnl
Intercept Graph: An Interactive Radial Visualization for Comparison of State Changes.
CoRR
Shaolun Ruan, Yong Wang, Qiang Guan
2021 J jnl
Making Invisible Visible: Data-Driven Seismic Inversion with Physics-Informed Data Augmentation.
CoRR
Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin
2021 Misc conf
QuGAN: A Quantum State Fidelity based Generative Adversarial Network.
QCE
Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu
2021 — conf
TQEA: Temporal Quantum Error Analysis.
DSN (Supplements)
Betis Baheri, Daniel Chen, Bo Fang, Samuel A. Stein, Vipin Chaudhary, Ying Mao, Shuai Xu, Ang Li, Qiang Guan
2020 — conf
A View-Invariant Feature Learning Model for Cross-View Security Authentication in Mobile Smart Devices.
INFOCOM Workshops
Ao Li, Xin Liu, Qiang Guan, Deyun Chen, Guanglu Sun
2020 J jnl
BeeSwarm: Enabling Scalability Tests in Continuous Integration.
CoRR
Jieyang Chen, Qiang Guan, Li-Ta Lo, Patricia Grubel, Tim Randles
2020 A conf
Chaser: An Enhanced Fault Injection Tool for Tracing Soft Errors in MPI Applications.
DSN
Qiang Guan, Xunchao Hu, Terence Grove, Bo Fang, Hailong Jiang, Heng Yin, Nathan DeBardeleben
2020 — conf
Empeiría
HCI (11)
Matthew E. Miller, Yuxin Yang, Karl W. Kosko, Richard E. Ferdig, Cheng-Chang Lu, Qiang Guan
2020 — conf
How Good Is Your Scientific Data Generative Model?
MLHPC/AI4S@SC
Yuxin Yang, Ben Gremillion, Xitong Zhang, Youzuo Lin, Brendt Wohlberg, Qiang Guan
2020 J jnl
MARS: Multi-Scalable Actor-Critic Reinforcement Learning Scheduler.
CoRR
Betis Baheri, Qiang Guan
2019 A conf
CARE: compiler-assisted recovery from soft failures.
SC
Chao Chen, Greg Eisenhauer, Santosh Pande, Qiang Guan
2019 J jnl
Soft Error Resilience and Failure Recovery for Continuum Dynamics Applications.
CoRR
Li Tan, Marc Charest, Nathan DeBardeleben, Qiang Guan, Ben Bergen
2019 A conf
TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs.
ICS
Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen
2018 A conf
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems.
ICDCS
Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Patricia Grubel, Tim Randles, Zizhong Chen, James P. Ahrens
2018 — conf
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
IEEE BigData
Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen, James Paul Ahrens
2018 J jnl
Characterization and Comparison of Application Resilience for Serial and Parallel Executions.
CoRR
Kai Wu, Qiang Guan, Nathan DeBardeleben, Dong Li
2018 A conf
Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs.
SC
Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen
2018 — conf
In situ TensorView: In situ Visualization of Convolutional Neural Networks.
IEEE BigData
Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, Zhengyong Ren, James Paul Ahrens, Trilce Estrada
2018 J jnl
In situ TensorView: In situ Visualization of Convolutional Neural Networks.
CoRR
Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, James P. Ahrens, Trilce Estrada
2018 B conf
Modeling Application Resilience in Large-scale Parallel Execution.
ICPP
Kai Wu, Wenqian Dong, Qiang Guan, Nathan DeBardeleben, Dong Li
2018 — conf
Sensor Data Fusion Framework to Improve Holographic Object Registration Accuracy for a Shared Augmented Reality Mission Planning Scenario.
HCI (9)
Simon Su, Vincent Perry, Qiang Guan, Andrew Durkee, Alexis R. Neigel, Sue Kase
2018 — conf
UNS: A Portable, Mobile, and Exchangeable Namespace for Supporting Fetch-from-Anywhere Big Data Eco-Systems.
DASC/PiCom/DataCom/CyberSciTech
Hsing-bung Chen, Qiang Guan, Song Fu
2018 J jnl
Using virtualization to quantify power conservation via near-threshold voltage reduction for inherently resilient applications.
Parallel Comput.
Li Tan, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Michael Lang
2017 J jnl
Addressing statistical significance of fault injection: empirical studies of the soft error susceptibility.
Int. J. High Perform. Comput. Netw.
Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu
2017 J jnl
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
CoRR
Jieyang Chen, Qiang Guan, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Zizhong Chen, James Paul Ahrens
2017 A conf
LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures.
HPDC
Bo Fang, Qiang Guan, Nathan DeBardeleben, Karthik Pattabiraman, Matei Ripeanu
2017 — conf
Lifetime memory reliability data from the field.
DFT
Taniya Siddiqua, Vilas Sridharan, Steven E. Raasch, Nathan DeBardeleben, Kurt B. Ferreira, Scott Levy, Elisabeth Baseman, Qiang Guan
2017 — conf
RSVP: Soft Error Resilient Power Savings at Near-Threshold Voltage Using Register Vulnerability.
DSN Workshops
Li Tan, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Michael Lang
2017 Misc conf
Resilience Analysis of Top K Selection Algorithms.
EDCC
Ryan Slechta, Laura Monroe, Nathan DeBardeleben, Qiang Guan, Joanne Wendelberger, Sarah Michalak
2017 B conf
Silent Data Corruption Resilient Two-sided Matrix Factorizations.
PPoPP
Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Zizhong Chen
2016 — conf
Design, Use and Evaluation of P-FSEFI: A Parallel Soft Error Fault Injection Framework for Emulating Soft Errors in Parallel Applications.
SimuTools
Qiang Guan, Nathan DeBardeleben, Panruo Wu, Stephan J. Eidenbenz, Sean Blanchard, Laura Monroe, Elisabeth Baseman, Li Tan
2016 — conf
Improving DRAM Fault Characterization through Machine Learning.
DSN Workshops
Elisabeth Baseman, Nathan DeBardeleben, Kurt B. Ferreira, Scott Levy, Steven Raasch, Vilas Sridharan, Taniya Siddiqua, Qiang Guan
2016 — conf
On the Inherent Resilience of Integer Operations.
Euro-Par Workshops
Laura Monroe, William M. Jones, Scott R. Lavigne, Claude H. Davis IV, Qiang Guan, Nathan DeBardeleben
2016 — conf
SDC is in the Eye of the Beholder: A Survey and Preliminary Study.
DSN Workshops
Bo Fang, Panruo Wu, Qiang Guan, Nathan DeBardeleben, Laura Monroe, Sean Blanchard, Zhizong Chen, Karthik Pattabiraman, Matei Ripeanu
2016 A conf
Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra.
HPDC
Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen
2015 C conf
Differentiated Failure Remediation with Action Selection for Resilient Computing.
PRDC
Song Huang, Song Fu, Nathan DeBardeleben, Qiang Guan, Cheng-Zhong Xu
2015 — conf
Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection.
FTXS@HPDC
Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu
2015 C conf
Towards Building Resilient Scientific Applications: Resilience Analysis on the Impact of Soft Error and Transient Error Tolerance with the CLAMR Hydrodynamics Mini-App.
CLUSTER
Qiang Guan, Nathan DeBardeleben, Brian Atkinson, Robert W. Robey, William M. Jones
2014 B conf
A hierarchical classification algorithm for evaluating energy consumption behaviors.
IJCNN
Li Bu, Dongbin Zhao, Yu Liu, Qiang Guan
2014 J jnl
Bayesian Analysis of Masked Data in Step-stress Accelerated Life Testing.
Commun. Stat. Simul. Comput.
Ancha Xu, Yincai Tang, Qiang Guan
2014 A conf
F-SEFI: A Fine-Grained Soft Error Fault Injection Tool for Profiling Application Vulnerability.
IPDPS
Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu
2014 — conf
Fault Injection Experiments with the CLAMR Hydrodynamics Mini-App.
ISSRE Workshops
Brian Atkinson, Nathan DeBardeleben, Qiang Guan, Robert W. Robey, William M. Jones
2014 J jnl
Optimal Multiple Constant-Stress Accelerated Life Tests for Generalized Exponential Distribution.
Commun. Stat. Simul. Comput.
Qiang Guan, Yincai Tang, Jiayu Fu, Ancha Xu
2014 — conf
Optimal self-learning battery control in smart residential grids by iterative Q-learning algorithm.
ADPRL
Qinglai Wei, Derong Liu, Guang Shi, Yu Liu, Qiang Guan
2013 B conf
Adaptive Anomaly Identification by Exploring Metric Subspace in Cloud Computing Infrastructures.
SRDS
Qiang Guan, Song Fu
2013 C conf
Deadline-Aware Event Scheduling for Complex Event Processing Systems.
IDEAL
Na Li, Qiang Guan
2013 C conf
Exploring Time and Frequency Domains for Accurate and Automated Anomaly Detection in Cloud Computing Systems.
PRDC
Qiang Guan, Song Fu, Nathan DeBardeleben, Sean Blanchard
2013 J jnl
Objective Bayesian analysis for bivariate Marshall-Olkin exponential distribution.
Comput. Stat. Data Anal.
Qiang Guan, Yincai Tang, Ancha Xu
2013 B conf
Wavelet-based multi-scale anomaly identification in cloud computing systems.
GLOBECOM
Qiang Guan, Song Fu
2012 C conf
AFD: Adaptive failure detection system for cloud computing infrastructures.
IPCCC
Husanbir Singh Pannu, Jianguo Liu, Qiang Guan, Song Fu
2012 C conf
An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures.
IPCCC
Ziming Zhang, Qiang Guan, Song Fu
2012 C conf
CDA: A Cloud Dependability Analysis Framework for Characterizing System Dependability in Cloud Computing Infrastructures.
PRDC
Qiang Guan, Chi-Chen Chiu, Song Fu
2012 — conf
Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds.
NAS
Qiang Guan, Chi-Chen Chiu, Ziming Zhang, Song Fu
2012 J jnl
Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems.
J. Commun.
Qiang Guan, Ziming Zhang, Song Fu
2012 J jnl
RFID application in manufacturing: A case study on a pilot RFID project in household appliance production.
Int. J. Comput. Integr. Manuf.
Zhiyuan Zhu, Jie Tan, He Ren, Wancheng Ni, Qiang Guan
2011 B conf
Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing.
ICCCN
Qiang Guan, Ziming Zhang, Song Fu
2011 — conf
Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience.
Euro-Par Workshops (2)
Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, Song Fu
2011 B conf
Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems.
ARES
Qiang Guan, Ziming Zhang, Song Fu
2010 — conf
An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems.
COMPSAC Workshops
Derek Smith, Qiang Guan, Song Fu
2010 Misc conf
Anomaly detection in large-scale coalition clusters for dependability assurance.
HiPC
Qiang Guan, Derek Smith, Song Fu
2010 C conf
auto-AID: A data mining framework for autonomic anomaly identification in networked computer systems.
IPCCC
Qiang Guan, Song Fu
2008 J jnl
Easily testable necessary and sufficient algebraic criteria for delay-independent stability of a class of neutral differential systems.
Syst. Control. Lett.
Ping Wei, Qiang Guan, Wensheng Yu, Long Wang
2007 J jnl
Robust Digital Image Watermarking Algorithm Using RBF Neural Networks in DWT domain.
Int. J. Fuzzy Log. Intell. Syst.
Cheng-Ri Piao, Qiang Guan, Jun Rim Choi, Seung Soo Han
2007 J jnl
Solution to the Generalized Champagne Problem on simultaneous stabilization of linear systems.
Sci. China Ser. F Inf. Sci.
Qiang Guan, Long Wang, Bican Xia, Lu Yang, Wensheng Yu, Zhenbing Zeng
2006 — conf
Genetic Approach for Network Planning in the RFID Systems.
ISDA (2)
Qiang Guan, Yu Liu, Yiping Yang, Wensheng Yu