Kesheng Wu

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 129

Top Venues

Publications

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 (2024)
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)
Bin Dong, Kesheng Wu, Suren Byna
The Art of Sparsity: Mastering High-Dimensional Tensor Storage. IPDPS (Workshops) (2024)
Robin Frehner, Kesheng Wu, Alexander Sim, Jinoh Kim, Kurt Stockinger
Detecting Anomalies in Time Series Using Kernel Density Approaches. IEEE Access 12 (2024)
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 (2024)
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)
Joshua Chung, Marcos López de Prado, Horst D. Simon, Kesheng Wu
Data Driven Dimensionality Reduction to Improve Modeling Performance✱. SSDBM (2023)
Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo
Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering. Sensors 23 (4) (2023)
Carolina Minami Oguchi, Dipak Ghosal, Alex Sim, Kesheng Wu
Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption. BigData (2023)
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 (2023)
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) (2023)
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)
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 (2023)
Robin Shao, Alex Sim, Kesheng Wu, Jinoh Kim
Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows. Sensors 23 (12) (2023)
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 (2023)
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 (2023)
Caitlin Sim, Kesheng Wu, Alex Sim, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Harvey Newman, Justas Balcas
Effectiveness and predictability of in-network storage cache for Scientific Workflows. ICNC (2023)
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 (2023)
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. BigData (2023)
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) (2023)
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) (2022)
Xiaoxia Zhang, Degang Chen, Hong Yu, Guoyin Wang, Houjun Tang, Kesheng Wu
Improving nonnegative matrix factorization with advanced graph regularization. Inf. Sci. 597 (2022)
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)
Junmin Gu, Greg Eisenhauer, Scott Klasky, Norbert Podhorszki, Ruonan Wang, Kesheng Wu
Exploring Large All-Flash Storage System with Scientific Simulation. SSDBM (2022)
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 (2022)
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 (2022)
Robin Shao, Jinoh Kim, Alex Sim, Kesheng Wu
Predicting Slow Network Transfers in Scientific Computing. SNTA@HPDC (2022)
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) (2022)
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 (2022)
Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey Newman
Access Trends of In-network Cache for Scientific Data. CoRR (2022)
Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim
Adaptive Optimization for Sparse Data on Heterogeneous GPUs. IPDPS Workshops (2022)
Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey Newman
Access Trends of In-network Cache for Scientific Data. SNTA@HPDC (2022)
Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo
Feature Engineering and Classification Models for Partial Discharge in Power Transformers. CoRR (2022)
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)
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)
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)
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 (2021)
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) (2021)
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 (2021)
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)
Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers. CoRR (2021)
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning. CoRR (2021)
Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim
Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures. IPDPS Workshops (2021)
Alina Lazar, Alex Sim, Kesheng Wu
GPU-based Classification for Wireless Intrusion Detection. SNTA@HPDC (2021)
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 (2021)
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)
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 (2021)
Yumeng Wang, Kesheng Wu, Alex Sim, Shinjae Yoo, Shigeki Misawa
Access Patterns to Disk Cache for Large Scientific Archive. SNTA@HPDC (2021)
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) (2020)
Shilpa Bhandari, Avinash K. Kukreja, Alina Lazar, Alex Sim, Kesheng Wu
Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection. SNTA@HPDC (2020)
Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu
Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data. CoRR (2020)
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)
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu
Botnet Detection Using Recurrent Variational Autoencoder. GLOBECOM (2020)
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)
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 (2020)
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu
Botnet Detection Using Recurrent Variational Autoencoder. CoRR (2020)
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)
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)
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm
Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder. SNTA@HPDC (2020)
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)
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 (2020)
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)
Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu
Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data. IEEE BigData (2020)
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 (2020)
Bin Dong, Patrick Kilian, Xiaocan Li, Fan Guo, Suren Byna, Kesheng Wu
Terabyte-scale Particle Data Analysis: An ArrayUDF Case Study. SSDBM (2019)
Junmin Gu, Burlen Loring, Kesheng Wu, E. Wes Bethel
HDF5 as a vehicle for in transit data movement. ISAV@SC (2019)
Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu
Performance Prediction for Data Transfers in LCLS Workflow. SNTA@HPDC (2019)
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
Automatic Detection of Network Traffic Anomalies and Changes. SNTA@HPDC (2019)
Dipak Ghosal, Sambit Shukla, Alex Sim, Aditya V. Thakur, Kesheng Wu
A Reinforcement Learning Based Network Scheduler for Deadline-Driven Data Transfers. GLOBECOM (2019)
Jongbeen Han, Heemin Kim, Hyeonsang Eom, Jonathan Coignard, Kesheng Wu, Yongseok Son
Enabling SQL-Query Processing for Ethereum-based Blockchain Systems. WIMS (2019)
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) (2019)
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)
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) (2019)
Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
Federated Wireless Network Intrusion Detection. IEEE BigData (2019)
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)
Kesheng Wu, Florin Rusu
Special issue on scientific and statistical data management. Distributed Parallel Databases 37 (1) (2019)
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)
Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang
SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis. ISC (2019)
Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu
IDEALEM: Statistical Similarity Based Data Reduction. CoRR (2019)
Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu
Similarity-based Compression with Multidimensional Pattern Matching. SNTA@HPDC (2019)
Devarshi Ghoshal, Kesheng Wu, Eric Pouyoul, Erich Strohmaier
Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads. IEEE BigData (2019)
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)
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)
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)
Hanul Sung, Jiwoo Bang, Alexander Sim, Kesheng Wu, Hyeonsang Eom
Understanding Parallel I/O Performance Trends Under Various HPC Configurations. SNTA@HPDC (2019)
Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu
Efficient Online Hyperparameter Learning for Traffic Flow Prediction. ITSC (2018)
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)
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) (2018)
Alina Lazar, Kesheng Wu, Alex Sim
Predicting Network Traffic Using TCP Anomalies. IEEE BigData (2018)
Cecilia Dao, Xinyu Liu, Alex Sim, Craig Tull, Kesheng Wu
Modeling Data Transfers: Change Point and Anomaly Detection. ICDCS (2018)
Mengying Yang, Xinyu Liu, Wilko Kroeger, Alex Sim, Kesheng Wu
Identifying Anomalous File Transfer Events in LCLS Workflow. AI-Science@HPDC (2018)
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)
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)
Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent
Distributed Caching for Complex Querying of Raw Arrays. CoRR (2018)
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) (2018)
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) (2018)
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 (2018)
Tal Shachaf, Alexander Sim, Kesheng Wu, Wilko Kroeger
Detecting Anomalies in the LCLS Workflow. IEEE BigData (2018)
Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent
Distributed caching for processing raw arrays. SSDBM (2018)
Junmin Gu, Scott Klasky, Norbert Podhorszki, Ji Qiang, Kesheng Wu
Querying Large Scientific Data Sets with Adaptable IO System ADIOS. SCFA (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kesheng Wu