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ORCIDKesheng Wu
K. John Wu
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- affiliation: Lawrence Berkeley National Lab, Berkeley, CA, USA
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2020 – today
- 2024
[j38]Robin Frehner
, Kesheng Wu, Alexander Sim, Jinoh Kim, Kurt Stockinger:
Detecting Anomalies in Time Series Using Kernel Density Approaches. IEEE Access 12: 33420-33439 (2024)- [j37]Xiaoxia Zhang, Mengsheng Ye, Yun Zhang, Qun Liu, Guoyin Wang, Kesheng Wu:
Mg-SubAgg: Multi-granularity Subgraph Aggregation with topology for GNN. Inf. Sci. 677: 120892 (2024) - [j36]Xiaoxia Zhang, Shang Shi, Haichao Sun, Degang Chen, Guoyin Wang, Kesheng Wu:
ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection. Neural Networks 171: 383-395 (2024) - [c155]Lixi Zhou, Qi Lin, Kanchan Chowdhury, Saif Masood, Alexandre E. Eichenberger, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Jia Zou:
Serving Deep Learning Models from Relational Databases. EDBT 2024: 717-724 - [c154]Keegan Sanchez, Alex Gavin, Suren Byna, Kesheng Wu, Xuechen Zhang:
A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory. Euro-Par (2) 2024: 182-195 - [c153]Marco Schreyer, Timur Sattarov, Alexander Sim, Kesheng Wu:
Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data. ICAIF 2024: 617-625 - [c152]Bin Dong, Kesheng Wu, Suren Byna:
The Art of Sparsity: Mastering High-Dimensional Tensor Storage. IPDPS (Workshops) 2024: 439-446 - [c151]Dong Kyu Sung, Yongseok Son, Alex Sim, Kesheng Wu, Suren Byna, Houjun Tang, Hyeonsang Eom, Changjong Kim, Sunggon Kim:
A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis. IPDPS 2024: 506-518 - 2023
- [j35]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son:
Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis. J. Big Data 10(1): 65 (2023) - [j34]Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering. Sensors 23(4): 1789 (2023) - [j33]Robin Shao, Alex Sim, Kesheng Wu, Jinoh Kim:
Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows. Sensors 23(12): 5485 (2023) - [j32]Hung-Chia Yang, Ling Jin, Alina Lazar, Annika Todd-Blick, Alex Sim, Kesheng Wu, Qianmiao Chen, C. Anna Spurlock:
Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective. Syst. 11(6): 314 (2023) - [c150]Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou:
Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data. IEEE Big Data 2023: 1824-1834 - [c149]Carolina Minami Oguchi, Dipak Ghosal, Alex Sim, Kesheng Wu:
Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption. IEEE Big Data 2023: 3803-3812 - [c148]Ziyue Deng, Alex Sim, Kesheng Wu, Chin Guok, Damian Hazen, Inder Monga, Fabio Andrijauskas, Frank Würthwein, Derek Weitzel:
Analyzing Transatlantic Network Traffic over Scientific Data Caches. SNTA@HPDC 2023: 19-22 - [c147]Caitlin Sim, Kesheng Wu, Alex Sim, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Harvey B. Newman, Justas Balcas:
Effectiveness and predictability of in-network storage cache for Scientific Workflows. ICNC 2023: 226-230 - [c146]Joshua Chung, Marcos López de Prado, Horst D. Simon, Kesheng Wu:
Data Driven Dimensionality Reduction to Improve Modeling Performance✱. SSDBM 2023: 5:1-5:16 - [i23]Ziyue Deng, Alex Sim, Kesheng Wu, Chin Guok, Damian Hazen, Inder Monga, Fabio Andrijauskas, Frank Würthwein, Derek Weitzel:
Analyzing Transatlantic Network Traffic over Scientific Data Caches. CoRR abs/2305.00856 (2023) - [i22]Caitlin Sim, Kesheng Wu, Alex Sim, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Harvey B. Newman, Justas Balcas:
Effectiveness and predictability of in-network storage cache for scientific workflows. CoRR abs/2307.11069 (2023) - [i21]Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou:
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data. CoRR abs/2309.01957 (2023) - [i20]Alexandre E. Eichenberger, Qi Lin, Saif Masood, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Lixi Zhou, Jia Zou:
Serving Deep Learning Model in Relational Databases. CoRR abs/2310.04696 (2023) - [i19]Junmin Gu, Paul Lin, Kesheng Wu, Seung-Hoe Ku, Choong-Seock Chang, Randy Michael Churchill, Jong Choi, Norbert Podhorszki, Scott Klasky:
Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting. CoRR abs/2311.01288 (2023) - 2022
- [j31]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son:
Design and implementation of dynamic I/O control scheme for large scale distributed file systems. Clust. Comput. 25(6): 4423-4438 (2022) - [j30]Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu:
Enhancing IoT anomaly detection performance for federated learning. Digit. Commun. Networks 8(3): 314-323 (2022) - [j29]Bin Dong, Alex Popescu, Verónica Rodríguez Tribaldos, Suren Byna, Jonathan Ajo-Franklin, Kesheng Wu:
Real-time and post-hoc compression for data from Distributed Acoustic Sensing. Comput. Geosci. 166: 105181 (2022) - [j28]Xiaoxia Zhang, Degang Chen, Hong Yu, Guoyin Wang, Houjun Tang, Kesheng Wu:
Improving nonnegative matrix factorization with advanced graph regularization. Inf. Sci. 597: 125-143 (2022) - [j27]Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33(4): 878-890 (2022) - [c145]Kewei Wang, Sunwoo Lee, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-Keng Liao:
Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. CCGRID 2022: 404-413 - [c144]Robin Shao, Jinoh Kim, Alex Sim, Kesheng Wu:
Predicting Slow Network Transfers in Scientific Computing. SNTA@HPDC 2022: 13-20 - [c143]Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey B. Newman:
Access Trends of In-network Cache for Scientific Data. SNTA@HPDC 2022: 21-28 - [c142]Julian Bellavita, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila:
Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches. SNTA@HPDC 2022: 43-50 - [c141]Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim:
Adaptive Optimization for Sparse Data on Heterogeneous GPUs. IPDPS Workshops 2022: 1088-1097 - [c140]Junmin Gu, Greg Eisenhauer, Scott Klasky, Norbert Podhorszki, Ruonan Wang, Kesheng Wu:
Exploring Large All-Flash Storage System with Scientific Simulation. SSDBM 2022: 23:1-23:4 - [i18]Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey B. Newman:
Access Trends of In-network Cache for Scientific Data. CoRR abs/2205.05563 (2022) - [i17]Julian Bellavita, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila:
Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches. CoRR abs/2205.05598 (2022) - [i16]Jeeyung Kim, Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu:
Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow. CoRR abs/2205.09703 (2022) - [i15]Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Feature Engineering and Classification Models for Partial Discharge in Power Transformers. CoRR abs/2210.12216 (2022) - 2021
- [b1]Bin Dong, Kesheng Wu, Suren Byna:
User-Defined Tensor Data Analysis, 2. Springer Briefs in Computer Science, Springer 2021, ISBN 978-3-030-70749-1, pp. 1-84 - [j26]Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu:
Network traffic performance analysis from passive measurements using gradient boosting machine learning. Int. J. Big Data Intell. 8(1): 13-30 (2021) - [j25]Donghun Koo, Jaehwan Lee, Jialin Liu, Eun-Kyu Byun, Jae-Hyuck Kwak, Glenn K. Lockwood, Soonwook Hwang, Katie Antypas, Kesheng Wu, Hyeonsang Eom:
An empirical study of I/O separation for burst buffers in HPC systems. J. Parallel Distributed Comput. 148: 96-108 (2021) - [c139]Alina Lazar, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alexander Sim, Kesheng Wu:
Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions. IEEE BigData 2021: 3700-3704 - [c138]Sunwoo Lee, Qiao Kang, Kewei Wang, Jan Balewski, Alex Sim, Ankit Agrawal, Alok N. Choudhary, Peter Nugent, Kesheng Wu, Wei-keng Liao:
Asynchronous I/O Strategy for Large-Scale Deep Learning Applications. HiPC 2021: 322-331 - [c137]Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Hanul Sung, Hyeonsang Eom:
An In-Depth I/O Pattern Analysis in HPC Systems. HiPC 2021: 400-405 - [c136]Elizabeth Copps, Huiyi Zhang, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Edgar Fajardo Hernandez:
Analyzing Scientific Data Sharing Patterns for In-network Data Caching. SNTA@HPDC 2021: 9-16 - [c135]Alina Lazar, Alex Sim, Kesheng Wu:
GPU-based Classification for Wireless Intrusion Detection. SNTA@HPDC 2021: 27-31 - [c134]Yumeng Wang, Kesheng Wu, Alex Sim, Shinjae Yoo, Shigeki Misawa:
Access Patterns to Disk Cache for Large Scientific Archive. SNTA@HPDC 2021: 37-40 - [c133]Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim:
Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures. IPDPS Workshops 2021: 6-15 - [i14]Ling Jin, C. Anna Spurlock, Sam Borgeson, Alina Lazar, Daniel Fredman, Annika Todd, Alexander Sim, Kesheng Wu:
Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data. CoRR abs/2102.11027 (2021) - [i13]Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm:
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning. CoRR abs/2104.12602 (2021) - [i12]Elizabeth Copps, Huiyi Zhang, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Edgar Fajardo Hernandez:
Analyzing scientific data sharing patterns for in-network data caching. CoRR abs/2105.00964 (2021) - [i11]Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR abs/2107.07108 (2021) - [i10]Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim:
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers. CoRR abs/2110.07029 (2021) - 2020
- [j24]Ling Jin, Alina Lazar, James Sears, Annika Todd-Blick, Alexander Sim, Kesheng Wu, Hung-Chia Yang, C. Anna Spurlock:
Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes. IEEE Access 8: 190964-190980 (2020) - [j23]Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky:
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. 43(1): 35-46 (2020) - [j22]William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky:
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12: 100561 (2020) - [c132]Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu:
Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data. IEEE BigData 2020: 1293-1300 - [c131]Brian Cho, Teresa Dayrit, Yuan Gao, Zhe Wang, Tianzhen Hong, Alex Sim, Kesheng Wu:
Effective Missing Value Imputation Methods for Building Monitoring Data. IEEE BigData 2020: 2866-2875 - [c130]Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu:
Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow. CCGRID 2020: 619-628 - [c129]Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu:
Botnet Detection Using Recurrent Variational Autoencoder. GLOBECOM 2020: 1-6 - [c128]Shilpa Bhandari, Avinash K. Kukreja, Alina Lazar, Alex Sim, Kesheng Wu:
Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection. SNTA@HPDC 2020: 19-26 - [c127]Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Sunggon Kim, Hyeonsang Eom:
HPC Workload Characterization Using Feature Selection and Clustering. SNTA@HPDC 2020: 33-40 - [c126]Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm:
Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder. SNTA@HPDC 2020: 41-47 - [c125]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son, Hyeonsang Eom:
Towards HPC I/O Performance Prediction through Large-scale Log Analysis. HPDC 2020: 77-88 - [c124]Bin Dong, Verónica Rodríguez Tribaldos, Xin Xing, Suren Byna, Jonathan Ajo-Franklin, Kesheng Wu:
DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection. IPDPS 2020: 254-263 - [c123]Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu:
Enhancing IoT Anomaly Detection Performance for Federated Learning. MSN 2020: 206-213 - [c122]Gaurav R. Ghosal, Dipak Ghosal, Alex Sim, Aditya V. Thakur, Kesheng Wu:
A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers. Networking 2020: 253-261 - [i9]Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu:
Botnet Detection Using Recurrent Variational Autoencoder. CoRR abs/2004.00234 (2020) - [i8]Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu:
Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research. CoRR abs/2010.07842 (2020) - [i7]Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu:
Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data. CoRR abs/2010.10352 (2020)
2010 – 2019
- 2019
- [j21]Beytullah Yildiz, Kesheng Wu, Suren Byna, Arie Shoshani:
Parallel membership queries on very large scientific data sets using bitmap indexes. Concurr. Comput. Pract. Exp. 31(15) (2019) - [j20]Kesheng Wu, Florin Rusu:
Special issue on scientific and statistical data management. Distributed Parallel Databases 37(1): 1-3 (2019) - [j19]Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, Annika Todd:
Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization. ACM J. Data Inf. Qual. 11(2): 7:1-7:22 (2019) - [j18]Xiaoxia Zhang, Degang Chen, Kesheng Wu:
Incremental nonnegative matrix factorization based on correlation and graph regularization for matrix completion. Int. J. Mach. Learn. Cybern. 10(6): 1259-1268 (2019) - [c121]Devarshi Ghoshal, Kesheng Wu, Eric Pouyoul, Erich Strohmaier:
Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads. IEEE BigData 2019: 3648-3657 - [c120]Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H. Beckman, Zhengchun Liu, Wei-keng Liao:
Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. IEEE BigData 2019: 4381-4389 - [c119]Alina Lazar, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alexander Sim, Kesheng Wu:
Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use. IEEE BigData 2019: 4520-4524 - [c118]Payton Linton, William Melodia, Alina Lazar, Deborah A. Agarwal, Ludovico Bianchi, Devarshi Ghoshal, Gilberto Zonta Pastorello, Lavanya Ramakrishnan, Kesheng Wu:
Understanding Data Similarity in Large-Scale Scientific Datasets. IEEE BigData 2019: 4525-4531 - [c117]Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu:
Federated Wireless Network Intrusion Detection. IEEE BigData 2019: 6004-6006 - [c116]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Teng Wang, Yongseok Son, Hyeonsang Eom:
DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems. CCGRID 2019: 351-360 - [c115]Olivia Del Guercio, Rafael Orozco, Alex Sim, K. John Wu:
Multidimensional Compression with Pattern Matching. DCC 2019: 567 - [c114]Sambit Shukla, Dipak Ghosal, Kesheng Wu, Alex Sim, Matthew K. Farrens:
Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters. FMEC 2019: 121-128 - [c113]Dipak Ghosal, Sambit Shukla, Alex Sim, Aditya V. Thakur, Kesheng Wu:
A Reinforcement Learning Based Network Scheduler for Deadline-Driven Data Transfers. GLOBECOM 2019: 1-6 - [c112]Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu:
Automatic Detection of Network Traffic Anomalies and Changes. SNTA@HPDC 2019: 3-10 - [c111]Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu:
Similarity-based Compression with Multidimensional Pattern Matching. SNTA@HPDC 2019: 19-24 - [c110]Hanul Sung, Jiwoo Bang, Alexander Sim, Kesheng Wu, Hyeonsang Eom:
Understanding Parallel I/O Performance Trends Under Various HPC Configurations. SNTA@HPDC 2019: 29-36 - [c109]Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu:
Performance Prediction for Data Transfers in LCLS Workflow. SNTA@HPDC 2019: 37-44 - [c108]Junmin Gu, Burlen Loring, Kesheng Wu, E. Wes Bethel:
HDF5 as a vehicle for in transit data movement. ISAV@SC 2019: 39-43 - [c107]Bin Dong, Patrick Kilian, Xiaocan Li, Fan Guo, Suren Byna, Kesheng Wu:
Terabyte-scale Particle Data Analysis: An ArrayUDF Case Study. SSDBM 2019: 202-205 - [c106]Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang:
SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis. ISC 2019: 61-80 - [c105]Jongbeen Han, Heemin Kim, Hyeonsang Eom, Jonathan Coignard, Kesheng Wu, Yongseok Son:
Enabling SQL-Query Processing for Ethereum-based Blockchain Systems. WIMS 2019: 9:1-9:7 - [i6]Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu:
IDEALEM: Statistical Similarity Based Data Reduction. CoRR abs/1911.06980 (2019) - 2018
- [j17]Taehoon Kim, Jaesik Choi, Dongeun Lee, Alex Sim, C. Anna Spurlock, Annika Todd, Kesheng Wu:
Predicting baseline for analysis of electricity pricing. Int. J. Big Data Intell. 5(1/2): 3-20 (2018) - [j16]Weijie Zhao, Florin Rusu, Kesheng Wu, Peter Nugent:
Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE. Int. J. Comput. Sci. Eng. 16(4): 337-349 (2018) - [j15]Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Alex Sim, Kesheng Wu:
Consensus Ensemble System for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 19(12): 3903-3914 (2018) - [c104]Bin Dong, Teng Wang, Houjun Tang, Quincey Koziol, Kesheng Wu, Suren Byna:
ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage. IEEE BigData 2018: 211-220 - [c103]Tal Shachaf, Alexander Sim, Kesheng Wu, Wilko Kroeger:
Detecting Anomalies in the LCLS Workflow. IEEE BigData 2018: 3256-3260 - [c102]Alina Lazar, Kesheng Wu, Alex Sim:
Predicting Network Traffic Using TCP Anomalies. IEEE BigData 2018: 5369-5371 - [c101]Rajkumar Kettimuthu, Zhengchun Liu, Ian T. Foster, Peter H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok N. Choudhary:
Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. AI-Science@HPDC 2018: 2:1-2:9 - [c100]Mengying Yang, Xinyu Liu, Wilko Kroeger, Alex Sim, Kesheng Wu:
Identifying Anomalous File Transfer Events in LCLS Workflow. AI-Science@HPDC 2018: 7:1-7:4 - [c99]Sowmya Balasubramanian, Dipak Ghosal, Kamala Narayanan Balasubramanian Sharath, Eric Pouyoul, Alex Sim, Kesheng Wu, Brian Tierney:
Auto-Tuned Publisher in a Pub/Sub System: Design and Performance Evaluation. ICAC 2018: 21-30 - [c98]Cecilia Dao, Xinyu Liu, Alex Sim, Craig Tull, Kesheng Wu:
Modeling Data Transfers: Change Point and Anomaly Detection. ICDCS 2018: 1589-1594 - [c97]Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, Prabhat, Kesheng Wu, Paul Brown:
ArrayBridge: Interweaving Declarative Array Processing in SciDB with Imperative HDF5-Based Programs. ICDE 2018: 977-988 - [c96]Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu:
Efficient Online Hyperparameter Learning for Traffic Flow Prediction. ITSC 2018: 164-169 - [c95]Junmin Gu, Scott Klasky, Norbert Podhorszki, Ji Qiang, Kesheng Wu:
Querying Large Scientific Data Sets with Adaptable IO System ADIOS. SCFA 2018: 51-69 - [c94]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent:
Distributed caching for processing raw arrays. SSDBM 2018: 22:1-22:12 - [i5]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent:
Distributed Caching for Complex Querying of Raw Arrays. CoRR abs/1803.06089 (2018) - [i4]Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu:
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction. CoRR abs/1811.00620 (2018) - 2017
- [c93]Ling Jin, Doris Lee, Alex Sim, Sam Borgeson, Kesheng Wu, C. Anna Spurlock, Annika Todd:
Comparison of Clustering Techniques for Residential Energy Behavior Using Smart Meter Data. AAAI Workshops 2017 - [c92]Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers. BDCAT 2017: 269-270 - [c91]Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim:
Data quality challenges with missing values and mixed types in joint sequence analysis. IEEE BigData 2017: 2620-2627 - [c90]Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Accurate signal timing from high frequency streaming data. IEEE BigData 2017: 4852-4854 - [c89]Jonathan Wang, Wucherl Yoo, Alex Sim, Peter Nugent, Kesheng Wu:
Parallel Variable Selection for Effective Performance Prediction. CCGrid 2017: 208-217 - [c88]Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Norbert Podhorszki, Junmin Gu, Yuan Tian, Scott Klasky, Kesheng Wu:
Apply Block Index Technique to Scientific Data Analysis and I/O Systems. CCGrid 2017: 865-871 - [c87]Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data. DASC/PiCom/DataCom/CyberSciTech 2017: 941-948 - [c86]Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu:
Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns. DCC 2017: 445 - [c85]Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu:
ArrayUDF: User-Defined Scientific Data Analysis on Arrays. HPDC 2017: 53-64 - [c84]Shashanka Ubaru, Kesheng Wu, Kristofer E. Bouchard:
UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data. ICMLA 2017: 241-248 - [c83]Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Shyng Hao, Bin Dong, Scott Klasky, Kesheng Wu:
Optimizing the query performance of block index through data analysis and I/O modeling. SC 2017: 12 - [c82]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent:
Incremental View Maintenance over Array Data. SIGMOD Conference 2017: 139-154 - [c81]Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu:
Improving Statistical Similarity Based Data Reduction for Non-Stationary Data. SSDBM 2017: 37:1-37:6 - [i3]Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, Prabhat, Kesheng Wu, Paul Brown:
ArrayBridge: Interweaving declarative array processing with high-performance computing. CoRR abs/1702.08327 (2017) - 2016
- [j14]Deborah A. Agarwal, Boris Faybishenko, Vicky L. Freedman, Harinarayan Krishnan, Gary Kushner, Carina Lansing, Ellen Porter, Alexandru Romosan, Arie Shoshani, Haruko M. Wainwright, Arthur Weidmer, Kesheng Wu:
A science data gateway for environmental management. Concurr. Comput. Pract. Exp. 28(7): 1994-2004 (2016) - [j13]Gili Rosenberg, Poya Haghnegahdar, Phil Goddard, Peter Carr, Kesheng Wu, Marcos López de Prado:
Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer. IEEE J. Sel. Top. Signal Process. 10(6): 1053-1060 (2016) - [j12]Lingfei Wu, K. John Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky:
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. IEEE Trans. Big Data 2(3): 262-275 (2016) - [c80]Wenzhao Zhang, Houjun Tang, Stephen Ranshous, Surendra Byna, Daniel F. Martin, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F. Samatova:
Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications. IEEE BigData 2016: 1359-1366 - [c79]Wenzhao Zhang, Houjun Tang, Steve Harenberg, Surendra Byna, Xiaocheng Zou, Dharshi Devendran, Daniel F. Martin, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F. Samatova:
AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications. CCGrid 2016: 116-125 - [c78]Houjun Tang, Surendra Byna, Steve Harenberg, Xiaocheng Zou, Wenzhao Zhang, Kesheng Wu, Bin Dong, Oliver Rübel, Kristofer E. Bouchard, Scott Klasky, Nagiza F. Samatova:
Usage Pattern-Driven Dynamic Data Layout Reorganization. CCGrid 2016: 356-365 - [c77]Tzu-Hsien Wu, Hao Shyng, Jerry Chi-Yuan Chou, Bin Dong, Kesheng Wu:
Indexing Blocks to Reduce Space and Time Requirements for Searching Large Data Files. CCGrid 2016: 398-402 - [c76]Bin Dong, Suren Byna, Kesheng Wu, Prabhat, Hans Johansen, Jeffrey N. Johnson, Noel Keen:
Data Elevator: Low-Contention Data Movement in Hierarchical Storage System. HiPC 2016: 152-161 - [c75]Bin Dong, Surendra Byna, Kesheng Wu:
SDS-Sort: Scalable Dynamic Skew-aware Parallel Sorting. HPDC 2016: 57-68 - [c74]Houjun Tang, Suren Byna, Steve Harenberg, Wenzhao Zhang, Xiaocheng Zou, Daniel F. Martin, Bin Dong, Dharshi Devendran, Kesheng Wu, David Trebotich, Scott Klasky, Nagiza F. Samatova:
In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses. ICPP 2016: 406-415 - [c73]Kesheng Wu, Elizabeth N. Coviello, S. M. Flanagan, Martin Greenwald, Xia Lee, Alexandru Romosan, David P. Schissel, Arie Shoshani, Josh Stillerman, John C. Wright:
MPO: A System to Document and Analyze Distributed Heterogeneous Workflows. IPAW 2016: 166-170 - [c72]David Pugmire, James Kress, Jong Youl Choi, Scott Klasky, Tahsin M. Kurç, Michael Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alexander Sim, Junmin Gu, Jonathan Low:
Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops 2016: 1007-1013 - [c71]Utkarsh Ayachit, Andrew C. Bauer, Earl P. N. Duque, Greg Eisenhauer, Nicola J. Ferrier, Junmin Gu, Kenneth E. Jansen, Burlen Loring, Zarija Lukic, Suresh Menon, Dmitriy Morozov, Patrick O'Leary, Reetesh Ranjan, Michel E. Rasquin, Christopher P. Stone, Venkatram Vishwanath, Gunther H. Weber, Brad Whitlock, Matthew Wolf, K. John Wu, E. Wes Bethel:
Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures. SC 2016: 921-932 - [c70]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu:
Similarity Join over Array Data. SIGMOD Conference 2016: 2007-2022 - [c69]Xiaocheng Zou, David A. Boyuka II, Dhara Desai, Daniel F. Martin, Surendra Byna, Kesheng Wu:
AMR-aware in situ indexing and scalable querying. SpringSim (HPS) 2016: 26 - [c68]Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu:
Novel Data Reduction Based on Statistical Similarity. SSDBM 2016: 21:1-21:12 - 2015
- [c67]Bin Dong, Surendra Byna, Kesheng Wu:
Spatially clustered join on heterogeneous scientific data sets. IEEE BigData 2015: 371-380 - [c66]Jinoh Kim, Bin Dong, Surendra Byna, Kesheng Wu:
Security for the scientific data services framework. IEEE BigData 2015: 1871-1875 - [c65]Xiaocheng Zou, Kesheng Wu, David A. Boyuka II, Daniel F. Martin, Surendra Byna, Houjun Tang, Kushal Bansal, Terry J. Ligocki, Hans Johansen, Nagiza F. Samatova:
Parallel In Situ Detection of Connected Components in Adaptive Mesh Refinement Data. CCGRID 2015: 302-312 - [c64]Hsuan-Te Chiu, Jerry Chi-Yuan Chou, Venkat Vishwanath, Kesheng Wu:
In-memory Query System for Scientific Dataseis. ICPADS 2015: 362-371 - [c63]Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu:
PATHA: Performance Analysis Tool for HPC Applications. IPCCC 2015: 1-8 - [c62]Gili Rosenberg, Poya Haghnegahdar, Phil Goddard, Peter Carr, Kesheng Wu, Marcos López de Prado:
Solving the optimal trading trajectory problem using a quantum annealer. WHPCF@SC 2015: 7:1-7:7 - [c61]Bin Dong, Surendra Byna, Kesheng Wu:
Heavy-tailed distribution of parallel I/O system response time. PDSW@SC 2015: 37-42 - [c60]Taehoon Kim, Dongeun Lee, Jaesik Choi, Anna Spurlock, Alex Sim, Annika Todd, Kesheng Wu:
Extracting Baseline Electricity Usage Using Gradient Tree Boosting. SmartCity 2015: 734-741 - [i2]Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky:
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data. CoRR abs/1505.03532 (2015) - [i1]Gili Rosenberg, Poya Haghnegahdar, Phil Goddard, Peter Carr, Kesheng Wu, Marcos López de Prado:
Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer. CoRR abs/1508.06182 (2015) - 2014
- [j11]Qing Liu, Jeremy Logan, Yuan Tian, Hasan Abbasi, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Roselyne Tchoua, Jay F. Lofstead, Ron A. Oldfield, Manish Parashar, Nagiza F. Samatova, Karsten Schwan, Arie Shoshani, Matthew Wolf, Kesheng Wu, Weikuan Yu:
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurr. Comput. Pract. Exp. 26(7): 1453-1473 (2014) - [c59]Bin Dong, Surendra Byna, Kesheng Wu:
Parallel query evaluation as a Scientific Data Service. CLUSTER 2014: 194-202 - [c58]Florin Rusu, Peter Nugent, Kesheng Wu:
Implementing the Palomar Transient Factory Real-Time Detection Pipeline in GLADE: Results and Observations. DNIS 2014: 53-66 - [c57]Hsuan-Te Chiu, Jerry Chi-Yuan Chou, Venkat Vishwanath, Surendra Byna, Kesheng Wu:
Simplifying index file structure to improve I/O performance of parallel indexing. ICPADS 2014: 576-583 - [c56]Jialin Liu, Surendra Byna, Bin Dong, Kesheng Wu, Yong Chen:
Model-Driven Data Layout Selection for Improving Read Performance. IPDPS Workshops 2014: 1708-1716 - [c55]Jung Heon Song, Marcos López de Prado, Horst D. Simon, Kesheng Wu:
Exploring irregular time series through non-uniform fast Fourier transform. WHPCF@SC 2014: 37-44 - [c54]Spyros Blanas, Kesheng Wu, Surendra Byna, Bin Dong, Arie Shoshani:
Parallel data analysis directly on scientific file formats. SIGMOD Conference 2014: 385-396 - 2013
- [j10]Kesheng Wu, E. Wes Bethel, Ming Gu, David Leinweber, Oliver Rübel:
A big data approach to analyzing market volatility. Algorithmic Finance 2(3-4): 241-267 (2013) - [c53]William Gu, Jaesik Choi, Ming Gu, Horst D. Simon, Kesheng Wu:
Fast Change Point Detection for electricity market analysis. IEEE BigData 2013: 50-57 - [c52]Bin Dong, Surendra Byna, Kesheng Wu:
Expediting scientific data analysis with reorganization of data. CLUSTER 2013: 1-8 - [c51]Bin Dong, Surendra Byna, Kesheng Wu:
SDS: a framework for scientific data services. PDSW@SC 2013: 27-32 - [c50]Alexandru Romosan, Arie Shoshani, Kesheng Wu, Victor M. Markowitz, Konstantinos Mavrommatis:
Accelerating gene context analysis using bitmaps. SSDBM 2013: 26:1-26:12 - [c49]Kuan-Wu Lin, Surendra Byna, Jerry Chi-Yuan Chou, Kesheng Wu:
Optimizing fastquery performance on lustre file system. SSDBM 2013: 29:1-29:12 - [c48]E. Wes Bethel, Prabhat, Surendra Byna, Oliver Rübel, K. John Wu, Michael F. Wehner:
Why high performance visual data analytics is both relevant and difficult. Visualization and Data Analysis 2013: 86540B - 2012
- [c47]Surendra Byna, Jerry Chi-Yuan Chou, Oliver Rübel, Prabhat, Homa Karimabadi, William S. Daughton, Vadim Roytershteyn, E. Wes Bethel, Mark Howison, Ke-Jou Hsu, Kuan-Wu Lin, Arie Shoshani, Andrew Uselton, Kesheng Wu:
Parallel I/O, analysis, and visualization of a trillion particle simulation. SC 2012: 59 - [c46]Benson Ma, Arie Shoshani, Alexander Sim, Kesheng Wu, Yong-Ik Byun, Jaegyoon Hahm, Min-Su Shin:
Efficient Attribute-Based Data Access in Astronomy Analysis. SC Companion 2012: 562-571 - [c45]Elaheh Pourabbas, Arie Shoshani, Kesheng Wu:
Minimizing Index Size by Reordering Rows and Columns. SSDBM 2012: 467-484 - [c44]Prabhat, Oliver Rübel, Surendra Byna, Kesheng Wu, Fuyu Li, Michael F. Wehner, Wes Bethel:
TECA: A Parallel Toolkit for Extreme Climate Analysis. ICCS 2012: 866-876 - [p3]Oliver Rübel, E. Wes Bethel, Kesheng Wu:
Query-Driven Visualization and Analysis. High Performance Visualization 2012 - 2011
- [c43]Weikuan Yu, K. John Wu, Wei-Shinn Ku, Cong Xu, Juan Gao:
BMF: Bitmapped Mass Fingerprinting for Fast Protein Identification. CLUSTER 2011: 17-25 - [c42]Jerry Chi-Yuan Chou, Kesheng Wu, Prabhat:
FastQuery: A Parallel Indexing System for Scientific Data. CLUSTER 2011: 455-464 - [c41]Ichitaro Yamazaki, Kesheng Wu:
A Communication-Avoiding Thick-Restart Lanczos Method on a Distributed-Memory System. Euro-Par Workshops (1) 2011: 345-354 - [c40]Jinoh Kim, Hasan Abbasi, Luis Chacón, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, Kesheng Wu:
Parallel in situ indexing for data-intensive computing. LDAV 2011: 65-72 - [c39]E. Wes Bethel, David Leinweber, Oliver Rübel, Kesheng Wu:
Federal market information technology in the post flash crash era: roles for supercomputing. WHPCF@SC 2011: 23-30 - [c38]Jerry Chi-Yuan Chou, Mark Howison, Brian Austin, Kesheng Wu, Ji Qiang, E. Wes Bethel, Arie Shoshani, Oliver Rübel, Prabhat, Robert D. Ryne:
Parallel index and query for large scale data analysis. SC 2011: 30:1-30:11 - [c37]Kamesh Madduri, Kesheng Wu:
Massive-Scale RDF Processing Using Compressed Bitmap Indexes. SSDBM 2011: 470-479 - [c36]Jerry Chi-Yuan Chou, Kesheng Wu, Prabhat:
FastQuery: A General Indexing and Querying System for Scientific Data. SSDBM 2011: 573-574 - 2010
- [j9]Kesheng Wu, Arie Shoshani, Kurt Stockinger:
Analyses of multi-level and multi-component compressed bitmap indexes. ACM Trans. Database Syst. 35(1): 2:1-2:52 (2010) - [j8]Ichitaro Yamazaki, Zhaojun Bai, Horst D. Simon, Lin-Wang Wang, Kesheng Wu:
Adaptive Projection Subspace Dimension for the Thick-Restart Lanczos Method. ACM Trans. Math. Softw. 37(3): 27:1-27:18 (2010) - [c35]Daren Hasenkamp, Alexander Sim, Michael F. Wehner, Kesheng Wu:
Finding Tropical Cyclones on a Cloud Computing Cluster: Using Parallel Virtualization for Large-Scale Climate Simulation Analysis. CloudCom 2010: 201-208 - [c34]Kesheng Wu, Kamesh Madduri, Shane Canon:
Multi-level bitmap indexes for flash memory storage. IDEAS 2010: 114-116
2000 – 2009
- 2009
- [j7]Kesheng Wu, Ekow J. Otoo, Kenji Suzuki:
Optimizing two-pass connected-component labeling algorithms. Pattern Anal. Appl. 12(2): 117-135 (2009) - [j6]Lifeng He, Yuyan Chao, Kenji Suzuki, Kesheng Wu:
Fast connected-component labeling. Pattern Recognit. 42(9): 1977-1987 (2009) - [c33]Kamesh Madduri, Kesheng Wu:
Efficient joins with compressed bitmap indexes. CIKM 2009: 1017-1026 - [c32]Meiyappan Nagappan, Kesheng Wu, Mladen A. Vouk:
Efficiently Extracting Operational Profiles from Execution Logs Using Suffix Arrays. ISSRE 2009: 41-50 - [c31]Luke J. Gosink, Kesheng Wu, E. Wes Bethel, John D. Owens, Kenneth I. Joy:
Data Parallel Bin-Based Indexing for Answering Queries on Multi-core Architectures. SSDBM 2009: 110-129 - [c30]Rishi Rakesh Sinha, Marianne Winslett, Kesheng Wu:
Finding Regions of Interest in Large Scientific Datasets. SSDBM 2009: 130-147 - [p2]Ekow J. Otoo, Kesheng Wu:
Accelerating Queries on Very Large Datasets. Scientific Data Management 2009 - [p1]Kurt Stockinger, John Cieslewicz, Kesheng Wu, Doron Rotem, Arie Shoshani:
Using Bitmap Index for Joint Queries on Structured and Text Data. New Trends in Data Warehousing and Data Analysis 2009: 1-23 - 2008
- [c29]Rishi Rakesh Sinha, Marianne Winslett, Kesheng Wu, Kurt Stockinger, Arie Shoshani:
Adaptive Bitmap Indexes for Space-Constrained Systems. ICDE 2008: 1418-1420 - [c28]Meiyappan Nagappan, Mladen A. Vouk, Kesheng Wu, Alex Sim, Arie Shoshani:
Efficient Operational Profiling of Systems Using Suffix Arrays on Execution Logs. ISSRE 2008: 313-314 - [c27]Oliver Rübel, Prabhat, Kesheng Wu, Hank Childs, Jeremy S. Meredith, Cameron G. R. Geddes, Estelle Cormier-Michel, Sean Ahern, Gunther H. Weber, Peter Messmer, Hans Hagen, Bernd Hamann, E. Wes Bethel:
High performance multivariate visual data exploration for extremely large data. SC 2008: 51 - [c26]Kesheng Wu, Kurt Stockinger, Arie Shoshani:
Breaking the Curse of Cardinality on Bitmap Indexes. SSDBM 2008: 348-365 - 2007
- [c25]Elizabeth J. O'Neil, Patrick E. O'Neil, Kesheng Wu:
Bitmap Index Design Choices and Their Performance Implications. IDEAS 2007: 72-84 - [c24]Frederick Reiss, Kurt Stockinger, Kesheng Wu, Arie Shoshani, Joseph M. Hellerstein:
Enabling Real-Time Querying of Live and Historical Stream Data. SSDBM 2007: 28 - 2006
- [j5]Kesheng Wu, Ekow J. Otoo, Arie Shoshani:
Optimizing bitmap indices with efficient compression. ACM Trans. Database Syst. 31(1): 1-38 (2006) - [c23]E. Wes Bethel, Scott Campbell, Eli Dart, Kurt Stockinger, Kesheng Wu:
Accelerating Network Traffic Analytics Using Query-Driven Visualization. IEEE VAST 2006: 115-122 - [c22]Kurt Stockinger, E. Wes Bethel, Scott Campbell, Eli Dart, Kesheng Wu:
Imaging and visual analysis - Detecting distributed scans using high-performance query-driven visualization. SC 2006: 82 - [c21]Doron Rotem, Kurt Stockinger, Kesheng Wu:
Minimizing I/O Costs of Multi-Dimensional Queries with Bitmap Indices. SSDBM 2006: 33-44 - [c20]Luke J. Gosink, John Shalf, Kurt Stockinger, Kesheng Wu, Wes Bethel:
HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets using Fast Bitmap Indices. SSDBM 2006: 149-158 - 2005
- [c19]Doron Rotem, Kurt Stockinger, Kesheng Wu:
Optimizing candidate check costs for bitmap indices. CIKM 2005: 648-655 - [c18]Doron Rotem, Kurt Stockinger, Kesheng Wu:
Optimizing I/O Costs of Multi-dimensional Queries Using Bitmap Indices. DEXA 2005: 220-229 - [c17]Kesheng Wu, Ekow J. Otoo, Arie Shoshani:
Optimizing connected component labeling algorithms. Medical Imaging: Image Processing 2005 - [c16]Kurt Stockinger, Kesheng Wu, Scott Campbell, Stephen Lau, Mike Fisk, Eugene M. Gavrilov, Alex Kent, Christopher E. Davis, Richard D. Olinger, Robert J. Young, Jim Prewett, Paul M. Weber, Thomas P. Caudell, E. Wes Bethel, Steve Smith:
Network Traffic Analysis With Query Driven Visualization SC 2005 HPC Analytics Results. SC 2005: 72 - [c15]Kurt Stockinger, John Shalf, E. Wes Bethel, Kesheng Wu:
DEX: Increasing the Capability of Scientific Data Analysis Pipelines by Using Efficient Bitmap Indices to Accelerate Scientific Visualization. SSDBM 2005: 35-44 - [c14]Kurt Stockinger, John Shalf, Kesheng Wu, E. Wes Bethel:
Query-Driven Visualization of Large Data Sets. IEEE Visualization 2005: 167-174 - 2004
- [c13]Kurt Stockinger, Kesheng Wu, Arie Shoshani:
Evaluation Strategies for Bitmap Indices with Binning. DEXA 2004: 120-129 - [c12]Kesheng Wu, Ekow J. Otoo, Arie Shoshani:
On the performance of bitmap indices for high cardinality attributes. VLDB 2004: 24-35 - 2003
- [c11]Kesheng Wu, Wendy S. Koegler, Jacqueline Chen, Arie Shoshani:
Using Bitmap Index for Interactive Exploration of Large Datasets. SSDBM 2003: 65-74 - 2002
- [j4]Andreas Stathopoulos, Kesheng Wu:
A Block Orthogonalization Procedure with Constant Synchronization Requirements. SIAM J. Sci. Comput. 23(6): 2165-2182 (2002) - [c10]Kurt Stockinger, Kesheng Wu, Arie Shoshani:
Strategies for processing ad hoc queries on large data warehouses. DOLAP 2002: 72-79 - [c9]Kesheng Wu, Ekow J. Otoo, Arie Shoshani:
Compressing Bitmap Indexes for Faster Search Operations. SSDBM 2002: 99-108 - 2001
- [c8]Kesheng Wu, Ekow J. Otoo, Arie Shoshani:
A Performance Comparison of bitmap indexes. CIKM 2001: 559-561 - 2000
- [j3]Kesheng Wu, Horst D. Simon:
Thick-Restart Lanczos Method for Large Symmetric Eigenvalue Problems. SIAM J. Matrix Anal. Appl. 22(2): 602-616 (2000)
1990 – 1999
- 1999
- [c7]Kesheng Wu, Horst D. Simon:
An Evaluation of the Parallel Shift-and-Invert Lanczos Method. PDPTA 1999: 2913-2919 - [c6]Kesheng Wu, Horst D. Simon:
Parallel Efficiency of the Lanczos Method for Eigenvalue Problems. PP 1999 - 1998
- [j2]Andreas Stathopoulos, Yousef Saad, Kesheng Wu:
Dynamic Thick Restarting of the Davidson, and the Implicitly Restarted Arnoldi Methods. SIAM J. Sci. Comput. 19(1): 227-245 (1998) - [c5]Kesheng Wu, Horst D. Simon:
Thick-Restart Lanczos Method for Symmetric Eigenvalue Problems. IRREGULAR 1998: 43-55 - [c4]Kesheng Wu, Andrew Canning, Horst D. Simon:
A new Lanczos method for electronic structure calculations. SC 1998: 35 - 1996
- [j1]Yousef Saad, Kesheng Wu:
DQGMRES: a Direct Quasi-minimal Residual Algorithm Based on Incomplete Orthogonalization. Numer. Linear Algebra Appl. 3(4): 329-343 (1996) - 1993
- [c3]Yousef Saad, Kesheng Wu, Serge G. Petiton:
Sparse Matrix Computations on the CM-5. PPSC 1993: 414-420 - [c2]William R. Ferng, Serge G. Petiton, Kesheng Wu:
Basic Sparse Computations on Data Parallel Computers. PPSC 1993: 462-466 - [c1]Kesheng Wu, Yousef Saad:
Performance of the CM-5 and Message Passing Primitives. PPSC 1993: 937-942
Coauthor Index
E. Wes Bethel
aka: Wes Bethel
aka: Wes Bethel
Surendra Byna
aka: Suren Byna
aka: Suren Byna
Jerry Chou 0001
aka: Jerry Chi-Yuan Chou
aka: Jerry Chi-Yuan Chou
Alex Sim
aka: Alexander Sim
aka: Alexander Sim
[j38] [c155] [c153] [c151] [j35] [j34] [j33] [j32] [c150] [c149] [c148] [c147] [i23] [i22] [i21] [i20] [j31] [j30] [c145] [c144] [c143] [c142] [c141] [i18] [i17] [i16] [i15] [j26] [c139] [c138] [c137] [c136] [c135] [c134] [c133] [i14] [i13] [i12] [i10] [j24] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c123] [c122] [i9] [j19] [c120] [c119] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [i6] [j17] [j15] [c103] [c102] [c101] [c100] [c99] [c98] [c93] [c92] [c91] [c90] [c89] [c87] [c86] [c81] [j12] [c72] [c68] [c63] [c60] [i2] [c46] [c35] [c28]
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