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ORCIDQiang Guan
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- Guan-qiang Cao
- Guan-Qiang Gao (aka: Guanqiang Gao)
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2020 – today
- 2024
[j21]Daniel Oliveira
, Edoardo Giusto, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech:
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits. IEEE Trans. Dependable Secur. Comput. 21(4): 2631-2644 (2024)- [j20]Jake Tronge, Jieyang Chen, Patricia Grubel, Tim Randles, Rusty Davis, Quincy Wofford, Steven Anaya, Qiang Guan:
An HPC-Container Based Continuous Integration Tool for Detecting Scaling and Performance Issues in HPC Applications. IEEE Trans. Serv. Comput. 17(1): 156-168 (2024) - [j19]Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Griffin, Xiaolin Wen, Yanna Lin, Yong Wang:
VIOLET: Visual Analytics for Explainable Quantum Neural Networks. IEEE Trans. Vis. Comput. Graph. 30(6): 2862-2874 (2024) - [j18]Shaolun Ruan, Qiang Guan, Paul Griffin, Ying Mao, Yong Wang:
QuantumEyes: Towards Better Interpretability of Quantum Circuits. IEEE Trans. Vis. Comput. Graph. 30(9): 6321-6333 (2024) - [c86]Pegah Ahadian, Yunhe Feng, Karl W. Kosko, Richard E. Ferdig, Qiang Guan:
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis. ACM Southeast Regional Conference 2024: 284-290 - [c85]Yuxin Yang, Zixu Wang, Pegah Ahadian, Abby Jerger, Jeremy Zucker, Song Feng, Feixiong Cheng, Qiang Guan:
A Deep Multimodal Representation Learning Framework for Accurate Molecular Properties Prediction. ACM Great Lakes Symposium on VLSI 2024: 760-765 - [c84]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:
Prototypical Transformer As Unified Motion Learners. ICML 2024 - [c83]Jin Zhao, Qi Zhang, Caijie Qin, Tao Lu, Zhaoyi Ning, Qiang Guan, Xibo Ma:
A Lightweight Convolutional Neural Network for Personalized Blood Pressure Estimation Based on Photoplethysmography. IJCNN 2024: 1-10 - [c82]Pegah Ahadian, Qiang Guan:
AI Trustworthy Challenges in Drug Discovery. TAI4H 2024: 1-12 - [i23]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:
Prototypical Transformer as Unified Motion Learners. CoRR abs/2406.01559 (2024) - [i22]Shaolun Ruan, Yong Wang, Qiang Guan:
Which One Changes More? A Novel Radial Visualization for State Change Comparison. CoRR abs/2406.13721 (2024) - [i21]Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu:
AMD: Automatic Multi-step Distillation of Large-scale Vision Models. CoRR abs/2407.04208 (2024) - [i20]Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu:
Radiance Field Learners As UAV First-Person Viewers. CoRR abs/2408.05533 (2024) - 2023
- [j17]Shaolun Ruan, Ribo Yuan, Qiang Guan, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Yong Wang:
VENUS: A Geometrical Representation for Quantum State Visualization. Comput. Graph. Forum 42(3): 247-258 (2023) - [j16]Ying Mao, Vaishali Sharma, Wenjia Zheng, Long Cheng, Qiang Guan, Ang Li:
Elastic Resource Management for Deep Learning Applications in a Container Cluster. IEEE Trans. Cloud Comput. 11(2): 2204-2216 (2023) - [j15]Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan:
: A isualization pproah for Noie Awarenss in Quatum Computing. IEEE Trans. Vis. Comput. Graph. 29(1): 462-472 (2023) - [c81]Zhirui Hu, Youzuo Lin, Qiang Guan, Weiwen Jiang:
Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network. DAC 2023: 1-6 - [c80]Edoardo Giusto, Emanuele Dri, Bartolomeo Montrucchio, Betis Baheri, Qiang Guan, Devesh Tiwari, Paolo Rech:
Quantum Computing Reliability: Problems, Tools, and Potential Solutions. DSN-S 2023: 2-3 - [c79]Yuxin Yang, Zhengyong Ren, Chris Lenart, Ashton Corsello, Karl W. Kosko, Simon Su, Qiang Guan:
Deep Learning-based Student Learning Behavior Understanding Framework in Real Classroom Scene. ICMLA 2023: 437-444 - [c78]Jinyang Li, Qiang Guan, Dingwen Tao, Weiwen Jiang:
Carbon Emissions of Quantum Circuit Simulation: More than You Would Think. IGSC 2023: 11-13 - [c77]Daniel T. Chen, Ethan H. Hansen, Xinpeng Li, Vinooth Kulkarni, Vipin Chaudhary, Bin Ren, Qiang Guan, Sanmukh Kuppannagari, Ji Liu, Shuai Xu:
Efficient Quantum Circuit Cutting by Neglecting Basis Elements. IPDPS Workshops 2023: 517-523 - [c76]Chris Lenart, Pegah Ahadian, Yuxin Yang, Simon Suo, Ashton Corsello, Karl W. Kosko, Qiang Guan:
Gaze Analysis System for Immersive 360° Video for Preservice Teacher Education. ACM Multimedia 2023: 8608-8616 - [c75]Yuzhe Cai, Shaoguang Mao, Chenshuo Wang, Tao Ge, Wenshan Wu, Yan Xia, Chanjin Zheng, Qiang Guan:
Enhancing Detailed Feedback to Chinese Writing Learners Using a Soft-Label Driven Approach and Tag-Aware Ranking Model. NLPCC (1) 2023: 576-587 - [c74]Zhongpeng Chen, Qiang Guan:
Continuous Exploration via Multiple Perspectives in Sparse Reward Environment. PRCV (3) 2023: 57-68 - [c73]Hailong Jiang, Shaolun Ruan, Bo Fang, Yong Wang, Qiang Guan:
Visilience: An Interactive Visualization Framework for Resilience Analysis using Control-Flow Graph. PRDC 2023: 250-256 - [c72]Daniel T. Chen, Ethan H. Hansen, Xinpeng Li, Aaron Orenstein, Vinooth Kulkarni, Vipin Chaudhary, Qiang Guan, Ji Liu, Yang Zhang, Shuai Xu:
Online Detection of Golden Circuit Cutting Points. QCE 2023: 26-31 - [c71]Nicola Dilillo, Edoardo Giusto, Emanuele Dri, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech:
Understanding the Effect of Transpilation in the Reliability of Quantum Circuits. QCE 2023: 232-235 - [c70]Priyabrata Senapati, Zhepeng Wang, Weiwen Jiang, Travis S. Humble, Bo Fang, Shuai Xu, Qiang Guan:
Towards Redefining the Reproducibility in Quantum Computing: A Data Analysis Approach on NISQ Devices. QCE 2023: 468-474 - [c69]Zhirui Hu, Robert Wolle, Mingzhen Tian, Qiang Guan, Travis S. Humble, Weiwen Jiang:
Toward Consistent High-Fidelity Quantum Learning on Unstable Devices via Efficient In-Situ Calibration. QCE 2023: 848-858 - [c68]Kendric Hood, Qiang Guan:
Machine Learning Applied to Single-Molecule Activity Prediction. SC Workshops 2023: 66-72 - [c67]Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao:
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation. SC Workshops 2023: 1452-1453 - [d1]Daniel Oliveira, Edoardo Giusto, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech:
Dataset for A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits. IEEE DataPort, 2023
- [i19]Shaolun Ruan, Ribo Yuan, Yong Wang, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Qiang Guan:
VENUS: A Geometrical Representation for Quantum State Visualization. CoRR abs/2303.08366 (2023) - [i18]Keer Yang, Guanqun Zhang, Chuan Bi, Qiang Guan, Hailu Xu, Shuai Xu:
Improving CNN-base Stock Trading By Considering Data Heterogeneity and Burst. CoRR abs/2303.09407 (2023) - [i17]Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao:
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation. CoRR abs/2309.16979 (2023) - [i16]Shaolun Ruan, Qiang Guan, Paul Griffin, Ying Mao, Yong Wang:
QuantumEyes: Towards Better Interpretability of Quantum Circuits. CoRR abs/2311.07980 (2023) - [i15]Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Griffin, Xiaolin Wen, Yanna Lin, Yong Wang:
VIOLET: Visual Analytics for Explainable Quantum Neural Networks. CoRR abs/2312.15276 (2023) - 2022
- [j14]Shuai Feng, Dongxue Zhao, Qiang Guan, Jinpeng Li, Ziyang Liu, Zhongyu Jin, Guangming Li, Tongyu Xu:
A deep convolutional neural network-based wavelength selection method for spectral characteristics of rice blast disease. Comput. Electron. Agric. 199: 107199 (2022) - [j13]Qiang Guan, Kai Song, Shuai Feng, Fenghua Yu, Tongyu Xu:
Detection of Peanut Leaf Spot Disease Based on Leaf-, Plant-, and Field-Scale Hyperspectral Reflectance. Remote. Sens. 14(19): 4988 (2022) - [j12]Guihong Liu, Qiang Guan, Yincai Tang, Yunhuei Tzeng:
Interval Modeling for Gamma Process Degradation Model. Symmetry 14(5): 954 (2022) - [j11]Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin:
Making Invisible Visible: Data-Driven Seismic Inversion With Spatio-Temporally Constrained Data Augmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c66]Rebecca A. Meehan, Manisha Kumari, Qiang Guan, Sanda Katila, Joel Davidson, Nichole Egbert:
STREAM: Prototype Development of a Digital Language Identifier. HEALTHINF 2022: 664-670 - [c65]Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu, Qiang Guan:
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems. DATE 2022: 108-111 - [c64]Daniel Oliveira, Edoardo Giusto, Emanuele Dri, Nadir Casciola, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech:
QuFI: a Quantum Fault Injector to Measure the Reliability of Qubits and Quantum Circuits. DSN 2022: 137-149 - [c63]Zhengyong Ren, Yuxin Yang, Kambiz Ghazinour, Sara Bayramzadeh, Qiang Guan:
Demo: A Multi-Perspective Video Streaming System with Privacy Preservation in Trauma Room. SEC 2022: 310-312 - [c62]Betis Baheri, Qiang Guan, Vipin Chaudhary, Ang Li:
Quantum Noise in the Flow of Time: A Temporal Study of the Noise in Quantum Computers. IOLTS 2022: 1-5 - [c61]Betis Baheri, Jacob Tronge, Bo Fang, Ang Li, Vipin Chaudhary, Qiang Guan:
MARS: Malleable Actor-Critic Reinforcement Learning Scheduler. IPCCC 2022: 217-226 - [c60]Ang Li, Qiang Guan:
International Workshop on Quantum Classical Cooperative Computing (QCCC 2022). IPDPS Workshops 2022: 598 - [c59]Betis Baheri, Qiang Guan, Shuai Xu, Vipin Chaudhary:
SQCC: Smart Quantum Circuit Cutting. IPDPS Workshops 2022: 614-615 - [c58]Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Shuai Xu, Caiwen Ding:
QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity. MLSys 2022 - [c57]Daniel Chen, Betis Baheri, Vipin Chaudhary, Qiang Guan, Ning Xie, Shuai Xu:
Approximate Quantum Circuit Reconstruction. QCE 2022: 509-515 - [c56]Betis Baheri, Zixuan Xu, Vipin Chaudhary, Ying Mao, Bo Fang, Shuai Xu, Qiang Guan:
Pinpointing the System Reliability Degradation in NISQ Machines. QCE 2022: 646-652 - [c55]Zhengyong Ren, Kambiz Ghazinour, Qiang Guan, Sara Bayramzadeh, Yuxin Yang:
A Privacy Preserving Video Surveillance System for Trauma Rooms. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1716-1721 - [i14]Shaolun Ruan, Yong Wang, Qiang Guan:
Visilence: An Interactive Visualization Tool for Error Resilience Analysis. CoRR abs/2201.00336 (2022) - [i13]Daniel Oliveira, Edoardo Giusto, Emanuele Dri, Nadir Casciola, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech:
QuFI: a Quantum Fault Injector to Measure the Reliability of Qubits and Quantum Circuits. CoRR abs/2203.07183 (2022) - [i12]Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan:
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing. CoRR abs/2207.14135 (2022) - 2021
- [c54]Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao:
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. CLUSTER 2021: 409-420 - [c53]Betis Baheri, Daniel Chen, Bo Fang, Samuel Alexander Stein, Vipin Chaudhary, Ying Mao, Shuai Xu, Ang Li, Qiang Guan:
TQEA: Temporal Quantum Error Analysis. DSN (Supplements) 2021: 65-67 - [c52]Chris Lenart, Yuxin Yang, Zhiqing Gu, Cheng-Chang Lu, Karl W. Kosko, Richard E. Ferdig, Qiang Guan:
GazeXR: A General Eye-Tracking System Enabling Invariable Gaze Data in Virtual Environment. HCI (9) 2021: 47-58 - [c51]Jacob Tronge, Patricia Grubel, Timothy Randles, Quincy Wofford, Rusty Davis, Steven Anaya, Qiang Guan:
BEE Orchestrator: Running Complex Scientific Workflows on Multiple Systems. HiPC 2021: 376-381 - [c50]Samuel Alexander Stein, Ryan L'Abbate, Wenrui Mu, Yue Liu, Betis Baheri, Ying Mao, Qiang Guan, Ang Li, Bo Fang:
A Hybrid System for Learning Classical Data in Quantum States. IPCCC 2021: 1-7 - [c49]Zhaochen Gu, Sihai Tang, Beilei Jiang, Song Huang, Qiang Guan, Song Fu:
Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning. IPDPS Workshops 2021: 288-297 - [c48]Jake Tronge, Jieyang Chen, Patricia Grubel, Tim Randles, Rusty Davis, Quincy Wofford, Steven Anaya, Qiang Guan:
BeeSwarm: Enabling Parallel Scaling Performance Measurement in Continuous Integration for HPC Applications. ASE 2021: 1136-1140 - [c47]Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu:
QuGAN: A Quantum State Fidelity based Generative Adversarial Network. QCE 2021: 71-81 - [c46]Shaolun Ruan, Yong Wang, Qiang Guan:
Intercept Graph: An Interactive Radial Visualization for Comparison of State Changes. IEEE VIS (Short Papers) 2021: 111-115 - [i11]Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao:
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. CoRR abs/2105.12929 (2021) - [i10]Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin:
Making Invisible Visible: Data-Driven Seismic Inversion with Physics-Informed Data Augmentation. CoRR abs/2106.11892 (2021) - [i9]Shaolun Ruan, Yong Wang, Qiang Guan:
Intercept Graph: An Interactive Radial Visualization for Comparison of State Changes. CoRR abs/2109.10893 (2021) - [i8]Daniel Oliveira, Edoardo Giusto, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech:
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits. CoRR abs/2111.07085 (2021) - [i7]Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu, Qiang Guan:
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems. CoRR abs/2112.15300 (2021) - 2020
- [c45]Qiang Guan, Xunchao Hu, Terence Grove, Bo Fang, Hailong Jiang, Heng Yin, Nathan DeBardeleben:
Chaser: An Enhanced Fault Injection Tool for Tracing Soft Errors in MPI Applications. DSN 2020: 355-363 - [c44]Matthew E. Miller, Yuxin Yang, Karl W. Kosko, Richard E. Ferdig, Cheng-Chang Lu, Qiang Guan:
Empeiría*: Powering Future Education Training Systems with Device Agnostic Web-VR Apps. HCI (11) 2020: 287-300 - [c43]Ao Li, Xin Liu, Qiang Guan, Deyun Chen, Guanglu Sun:
A View-Invariant Feature Learning Model for Cross-View Security Authentication in Mobile Smart Devices. INFOCOM Workshops 2020: 103-108 - [c42]Yuxin Yang, Ben Gremillion, Xitong Zhang, Youzuo Lin, Brendt Wohlberg, Qiang Guan:
How Good Is Your Scientific Data Generative Model? MLHPC/AI4S@SC 2020: 96-102 - [i6]Betis Baheri, Qiang Guan:
MARS: Multi-Scalable Actor-Critic Reinforcement Learning Scheduler. CoRR abs/2005.01584 (2020) - [i5]Jieyang Chen, Qiang Guan, Li-Ta Lo, Patricia Grubel, Tim Randles:
BeeSwarm: Enabling Scalability Tests in Continuous Integration. CoRR abs/2007.10491 (2020)
2010 – 2019
- 2019
- [c41]Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen:
TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs. ICS 2019: 106-116 - [c40]Chao Chen, Greg Eisenhauer, Santosh Pande, Qiang Guan:
CARE: compiler-assisted recovery from soft failures. SC 2019: 58:1-58:23 - [i4]Li Tan, Marc Charest, Nathan DeBardeleben, Qiang Guan, Ben Bergen:
Soft Error Resilience and Failure Recovery for Continuum Dynamics Applications. CoRR abs/1911.02114 (2019) - 2018
- [j10]Li Tan, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Michael Lang:
Using virtualization to quantify power conservation via near-threshold voltage reduction for inherently resilient applications. Parallel Comput. 73: 3-15 (2018) - [c39]Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen, James Paul Ahrens:
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. IEEE BigData 2018: 1737-1746 - [c38]Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, Zhengyong Ren, James Paul Ahrens, Trilce Estrada:
In situ TensorView: In situ Visualization of Convolutional Neural Networks. IEEE BigData 2018: 1899-1904 - [c37]Hsing-bung Chen, Qiang Guan, Song Fu:
UNS: A Portable, Mobile, and Exchangeable Namespace for Supporting Fetch-from-Anywhere Big Data Eco-Systems. DASC/PiCom/DataCom/CyberSciTech 2018: 889-896 - [c36]Simon Su, Vincent Perry, Qiang Guan, Andrew Durkee, Alexis R. Neigel, Sue Kase:
Sensor Data Fusion Framework to Improve Holographic Object Registration Accuracy for a Shared Augmented Reality Mission Planning Scenario. HCI (9) 2018: 202-214 - [c35]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:
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems. ICDCS 2018: 1029-1038 - [c34]Kai Wu, Wenqian Dong, Qiang Guan, Nathan DeBardeleben, Dong Li:
Modeling Application Resilience in Large-scale Parallel Execution. ICPP 2018: 61:1-61:10 - [c33]Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen:
Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs. SC 2018: 68:1-68:12 - [i3]Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, James P. Ahrens, Trilce Estrada:
In situ TensorView: In situ Visualization of Convolutional Neural Networks. CoRR abs/1806.07382 (2018) - [i2]Kai Wu, Qiang Guan, Nathan DeBardeleben, Dong Li:
Characterization and Comparison of Application Resilience for Serial and Parallel Executions. CoRR abs/1808.01093 (2018) - 2017
- [j9]Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu:
Addressing statistical significance of fault injection: empirical studies of the soft error susceptibility. Int. J. High Perform. Comput. Netw. 10(4/5): 436-452 (2017) - [c32]Taniya Siddiqua, Vilas Sridharan, Steven E. Raasch, Nathan DeBardeleben, Kurt B. Ferreira, Scott Levy, Elisabeth Baseman, Qiang Guan:
Lifetime memory reliability data from the field. DFT 2017: 1-6 - [c31]Li Tan, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Michael Lang:
RSVP: Soft Error Resilient Power Savings at Near-Threshold Voltage Using Register Vulnerability. DSN Workshops 2017: 91-98 - [c30]Ryan Slechta, Laura Monroe, Nathan DeBardeleben, Qiang Guan, Joanne Wendelberger, Sarah Michalak:
Resilience Analysis of Top K Selection Algorithms. EDCC 2017: 42-49 - [c29]Bo Fang, Qiang Guan, Nathan DeBardeleben, Karthik Pattabiraman, Matei Ripeanu:
LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures. HPDC 2017: 117-130 - [c28]Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Zizhong Chen:
Silent Data Corruption Resilient Two-sided Matrix Factorizations. PPoPP 2017: 415-427 - [i1]Jieyang Chen, Qiang Guan, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Zizhong Chen, James Paul Ahrens:
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. CoRR abs/1712.06790 (2017) - 2016
- [c27]Bo Fang, Panruo Wu, Qiang Guan, Nathan DeBardeleben, Laura Monroe, Sean Blanchard, Zhizong Chen, Karthik Pattabiraman, Matei Ripeanu:
SDC is in the Eye of the Beholder: A Survey and Preliminary Study. DSN Workshops 2016: 72-76 - [c26]Elisabeth Baseman, Nathan DeBardeleben, Kurt B. Ferreira, Scott Levy, Steven Raasch, Vilas Sridharan, Taniya Siddiqua, Qiang Guan:
Improving DRAM Fault Characterization through Machine Learning. DSN Workshops 2016: 250-253 - [c25]Laura Monroe, William M. Jones, Scott R. Lavigne, Claude H. Davis IV, Qiang Guan, Nathan DeBardeleben:
On the Inherent Resilience of Integer Operations. Euro-Par Workshops 2016: 648-659 - [c24]Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen:
Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra. HPDC 2016: 31-42 - [c23]Qiang Guan, Nathan DeBardeleben, Panruo Wu, Stephan J. Eidenbenz, Sean Blanchard, Laura Monroe, Elisabeth Baseman, Li Tan:
Design, Use and Evaluation of P-FSEFI: A Parallel Soft Error Fault Injection Framework for Emulating Soft Errors in Parallel Applications. SimuTools 2016: 9-17 - 2015
- [c22]Qiang Guan, Nathan DeBardeleben, Brian Atkinson, Robert W. Robey, William M. Jones:
Towards Building Resilient Scientific Applications: Resilience Analysis on the Impact of Soft Error and Transient Error Tolerance with the CLAMR Hydrodynamics Mini-App. CLUSTER 2015: 176-179 - [c21]Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu:
Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection. FTXS@HPDC 2015: 35-40 - [c20]Song Huang, Song Fu, Nathan DeBardeleben, Qiang Guan, Cheng-Zhong Xu:
Differentiated Failure Remediation with Action Selection for Resilient Computing. PRDC 2015: 199-208 - 2014
- [j8]Qiang Guan, Yincai Tang, Jiayu Fu, Ancha Xu:
Optimal Multiple Constant-Stress Accelerated Life Tests for Generalized Exponential Distribution. Commun. Stat. Simul. Comput. 43(8): 1852-1865 (2014) - [j7]Ancha Xu, Yincai Tang, Qiang Guan:
Bayesian Analysis of Masked Data in Step-stress Accelerated Life Testing. Commun. Stat. Simul. Comput. 43(8): 2016-2030 (2014) - [c19]Qinglai Wei, Derong Liu, Guang Shi, Yu Liu, Qiang Guan:
Optimal self-learning battery control in smart residential grids by iterative Q-learning algorithm. ADPRL 2014: 1-7 - [c18]Li Bu, Dongbin Zhao, Yu Liu, Qiang Guan:
A hierarchical classification algorithm for evaluating energy consumption behaviors. IJCNN 2014: 1461-1466 - [c17]Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu:
F-SEFI: A Fine-Grained Soft Error Fault Injection Tool for Profiling Application Vulnerability. IPDPS 2014: 1245-1254 - [c16]Brian Atkinson, Nathan DeBardeleben, Qiang Guan, Robert W. Robey, William M. Jones:
Fault Injection Experiments with the CLAMR Hydrodynamics Mini-App. ISSRE Workshops 2014: 6-9 - 2013
- [j6]Qiang Guan, Yincai Tang, Ancha Xu:
Objective Bayesian analysis for bivariate Marshall-Olkin exponential distribution. Comput. Stat. Data Anal. 64: 299-313 (2013) - [c15]Qiang Guan, Song Fu:
Wavelet-based multi-scale anomaly identification in cloud computing systems. GLOBECOM 2013: 1379-1384 - [c14]Na Li, Qiang Guan:
Deadline-Aware Event Scheduling for Complex Event Processing Systems. IDEAL 2013: 101-109 - [c13]Qiang Guan, Song Fu, Nathan DeBardeleben, Sean Blanchard:
Exploring Time and Frequency Domains for Accurate and Automated Anomaly Detection in Cloud Computing Systems. PRDC 2013: 196-205 - [c12]Qiang Guan, Song Fu:
Adaptive Anomaly Identification by Exploring Metric Subspace in Cloud Computing Infrastructures. SRDS 2013: 205-214 - 2012
- [j5]Zhiyuan Zhu, Jie Tan, He Ren, Wancheng Ni, Qiang Guan:
RFID application in manufacturing: A case study on a pilot RFID project in household appliance production. Int. J. Comput. Integr. Manuf. 25(1): 3-10 (2012) - [j4]Qiang Guan, Ziming Zhang, Song Fu:
Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems. J. Commun. 7(1): 52-61 (2012) - [c11]Ziming Zhang, Qiang Guan, Song Fu:
An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures. IPCCC 2012: 51-60 - [c10]Husanbir Singh Pannu, Jianguo Liu, Qiang Guan, Song Fu:
AFD: Adaptive failure detection system for cloud computing infrastructures. IPCCC 2012: 71-80 - [c9]Qiang Guan, Chi-Chen Chiu, Ziming Zhang, Song Fu:
Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds. NAS 2012: 207-216 - [c8]Qiang Guan, Chi-Chen Chiu, Song Fu:
CDA: A Cloud Dependability Analysis Framework for Characterizing System Dependability in Cloud Computing Infrastructures. PRDC 2012: 11-20 - 2011
- [c7]Qiang Guan, Ziming Zhang, Song Fu:
Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems. ARES 2011: 83-90 - [c6]Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, Song Fu:
Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience. Euro-Par Workshops (2) 2011: 282-291 - [c5]Qiang Guan, Ziming Zhang, Song Fu:
Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing. ICCCN 2011: 1-6 - 2010
- [c4]Derek Smith, Qiang Guan, Song Fu:
An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems. COMPSAC Workshops 2010: 376-381 - [c3]Qiang Guan, Derek Smith, Song Fu:
Anomaly detection in large-scale coalition clusters for dependability assurance. HiPC 2010: 1-10 - [c2]Qiang Guan, Song Fu:
auto-AID: A data mining framework for autonomic anomaly identification in networked computer systems. IPCCC 2010: 73-80
2000 – 2009
- 2008
- [j3]Ping Wei, Qiang Guan, Wensheng Yu, Long Wang:
Easily testable necessary and sufficient algebraic criteria for delay-independent stability of a class of neutral differential systems. Syst. Control. Lett. 57(2): 165-174 (2008) - 2007
- [j2]Qiang Guan, Long Wang, Bican Xia, Lu Yang, Wensheng Yu, Zhenbing Zeng:
Solution to the Generalized Champagne Problem on simultaneous stabilization of linear systems. Sci. China Ser. F Inf. Sci. 50(5): 719-731 (2007) - [j1]Cheng-Ri Piao, Qiang Guan, Jun Rim Choi, Seung Soo Han:
Robust Digital Image Watermarking Algorithm Using RBF Neural Networks in DWT domain. Int. J. Fuzzy Log. Intell. Syst. 7(2): 143-147 (2007) - 2006
- [c1]Qiang Guan, Yu Liu, Yiping Yang, Wensheng Yu:
Genetic Approach for Network Planning in the RFID Systems. ISDA (2) 2006: 567-572
Coauthor Index
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