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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) - [c154]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 - [c153]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 - [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)