Kesheng Wu - RankMe

230 papers A* 3A 19B 43C 13Misc 11Journal 65Unranked 72

Year	Rank	Type	Title / Venue / Authors
2026	Misc	`conf`	BBRv3 Startup Behavior: Analysis and Fairness Enhancements. ICNC Imtiaz Mahmud, Kesheng Wu, Alex Sim, Anirban Mandal, Ewa Deelman
2026	Misc	`conf`	Predicting Dataset Popularity for Improved Distributed Content Caching in Scientific Workflows. ICNC Malavikha Sudarshan, Alex Sim, Kesheng Wu
2026	Misc	`conf`	Time-series Forecasting for Network Utilization in Large-Scale Scientific Workflows. ICNC Veronica Yakubovich, Ivy Sim, Phillip Kim, Nick Monozon, Jinny Chung, Alex Sim, Kesheng Wu
2026	Misc	`conf`	Validating TCP Behavior in DISTRI: A Comparison of Simulated and Real-World Network Performance for Distributed Computing. ICNC Imtiaz Mahmud, Kesheng Wu, Alex Sim, Anirban Mandal, Ewa Deelman
2025	—	`conf`	Achieving Deterministic and Reliable Large-Scale Data Transfers in a Scientific Network. MILCOM Carolina Minami Oguchi, Vijeth Kumbarahally Lakshminarayana, Alex Sim, Kesheng Wu, Dipak Ghosal
2025	—	`conf`	Conditional Recurrent Neural Networks for Enhancing Throughput Prediction and Slow File Transfers Detection in Large Science Workflows. CCNC Boyu Fan, Alex Sim, Kesheng Wu, Jinoh Kim
2025	J	`jnl`	HPC I/O innovations in the exascale era. Int. J. High Perform. Comput. Appl. Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Junmin Gu, Vicente Bolea, Liz Dulac, Dmitry Ganyushin, William F. Godoy, Qing Liu, Caitlin Ross, Lipeng Wan, Scott Wittenburg, Kesheng Wu
2025	Misc	`conf`	Improving Slow Transfer Predictions: Generative Methods Compared. ICNC Jacob Taegon Kim, Alex Sim, Kesheng Wu, Jinoh Kim
2025	J	`jnl`	Improving Slow Transfer Predictions: Generative Methods Compared. CoRR Jacob Taegon Kim, Alex Sim, Kesheng Wu, Jinoh Kim
2025	J	`jnl`	Multi-Resolution Model Fusion for Accelerating the Convolutional Neural Network Training. CoRR Kewei Wang, Claire Songhyun Lee, Sunwoo Lee, Vishu Gupta, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-keng Liao
2025	J	`jnl`	Regen: An object layout regenerator on large-scale production HPC systems. Future Gener. Comput. Syst. Dong Kyu Sung, Sunggon Kim, Sangjin Lee, Houjun Tang, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son
2025	J	`jnl`	SWARM: Reimagining scientific workflow management systems in a distributed world. Int. J. High Perform. Comput. Appl. Prasanna Balaprakash, Krishnan Raghavan, Franck Cappello, Ewa Deelman, Anirban Mandal, Hongwei Jin, Imtiaz Mahmud, Komal Thareja, Shixun Wu, Pawel Zuk, Mariam Kiran, Zizhong Chen, Sheng Di, Kesheng Wu
2025	J	`jnl`	ScaleQsim: Highly Scalable Quantum Circuit Simulation Framework for Exascale HPC Systems. Proc. ACM Meas. Anal. Comput. Syst. Changjong Kim, Ehan Sohn, Seunghwan Kim, Alex Sim, Kesheng Wu, Houjun Tang, Yongseok Son, Sunggon Kim
2024	—	`conf`	A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory. Euro-Par (2) Keegan Sanchez, Alex Gavin, Suren Byna, Kesheng Wu, Xuechen Zhang
2024	—	`conf`	A Study of a Deterministic Networking Framework for Latency Critical Large Scientific Data Transfers. SC Workshops Vijeth Kumbarahally Lakshminarayana, Carolina Minami Oguchi, Alex Sim, Kesheng Wu, Dipak Ghosal
2024	A	`conf`	A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis. IPDPS Dong Kyu Sung, Yongseok Son, Alex Sim, Kesheng Wu, Suren Byna, Houjun Tang, Hyeonsang Eom, Changjong Kim, Sunggon Kim
2024	J	`jnl`	ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection. Neural Networks Xiaoxia Zhang, Shang Shi, Haichao Sun, Degang Chen, Guoyin Wang, Kesheng Wu
2024	B	`conf`	DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure. IEEE Big Data Imtiaz Mahmud, Pawel Zuk, Cong Wang, Mariam Kiran, Kesheng Wu, Komal Thareja, Krishnan Raghavan, Anirban Mandal, Ewa Deelman
2024	J	`jnl`	Detecting Anomalies in Time Series Using Kernel Density Approaches. IEEE Access Robin Frehner, Kesheng Wu, Alexander Sim, Jinoh Kim, Kurt Stockinger
2024	B	`ed.`	IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024 IEEE Big Data Wei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
2024	—	`conf`	Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data. ICAIF Marco Schreyer, Timur Sattarov, Alexander Sim, Kesheng Wu
2024	J	`jnl`	Mg-SubAgg: Multi-granularity Subgraph Aggregation with topology for GNN. Inf. Sci. Xiaoxia Zhang, Mengsheng Ye, Yun Zhang, Qun Liu, Guoyin Wang, Kesheng Wu
2024	B	`conf`	Serving Deep Learning Models from Relational Databases. EDBT 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
2024	B	`conf`	TensorSearch: Parallel Similarity Search on Tensors. IEEE Big Data Bin Dong, Avinash Nayak, Verónica Rodríguez Tribaldos, Kesheng Wu, Jonathan Ajo-Franklin, Qile Zhang, Fan Guo, Suren Byna, Patrick Dobson, Alexander Sim
2024	—	`conf`	The Art of Sparsity: Mastering High-Dimensional Tensor Storage. IPDPS (Workshops) Bin Dong, Kesheng Wu, Suren Byna
2023	—	`conf`	Analyzing Transatlantic Network Traffic over Scientific Data Caches. SNTA@HPDC Ziyue Deng, Alex Sim, Kesheng Wu, Chin Guok, Damian Hazen, Inder Monga, Fabio Andrijauskas, Frank Würthwein, Derek Weitzel
2023	J	`jnl`	Analyzing Transatlantic Network Traffic over Scientific Data Caches. CoRR Ziyue Deng, Alex Sim, Kesheng Wu, Chin Guok, Damian Hazen, Inder Monga, Fabio Andrijauskas, Frank Würthwein, Derek Weitzel
2023	B	`conf`	Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data. IEEE Big Data Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou
2023	J	`jnl`	Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data. CoRR Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou
2023	B	`conf`	Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption. IEEE Big Data Carolina Minami Oguchi, Dipak Ghosal, Alex Sim, Kesheng Wu
2023	B	`conf`	Data Driven Dimensionality Reduction to Improve Modeling Performance✱. SSDBM Joshua Chung, Marcos López de Prado, Horst D. Simon, Kesheng Wu
2023	J	`jnl`	Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis. J. Big Data Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son
2023	Misc	`conf`	Effectiveness and predictability of in-network storage cache for Scientific Workflows. ICNC Caitlin Sim, Kesheng Wu, Alex Sim, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Harvey B. Newman, Justas Balcas
2023	J	`jnl`	Effectiveness and predictability of in-network storage cache for scientific workflows. CoRR Caitlin Sim, Kesheng Wu, Alex Sim, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Harvey B. Newman, Justas Balcas
2023	J	`jnl`	Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective. Syst. Hung-Chia Yang, Ling Jin, Alina Lazar, Annika Todd-Blick, Alex Sim, Kesheng Wu, Qianmiao Chen, C. Anna Spurlock
2023	J	`jnl`	Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows. Sensors Robin Shao, Alex Sim, Kesheng Wu, Jinoh Kim
2023	J	`jnl`	Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering. Sensors Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo
2023	J	`jnl`	Serving Deep Learning Model in Relational Databases. CoRR Alexandre E. Eichenberger, Qi Lin, Saif Masood, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Lixi Zhou, Jia Zou
2023	J	`jnl`	Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting. CoRR Junmin Gu, Paul Lin, Kesheng Wu, Seung-Hoe Ku, Choong-Seock Chang, Randy Michael Churchill, Jong Choi, Norbert Podhorszki, Scott Klasky
2022	—	`conf`	Access Trends of In-network Cache for Scientific Data. SNTA@HPDC Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey B. Newman
2022	J	`jnl`	Access Trends of In-network Cache for Scientific Data. CoRR Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey B. Newman
2022	—	`conf`	Adaptive Optimization for Sparse Data on Heterogeneous GPUs. IPDPS Workshops Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim
2022	J	`jnl`	Design and implementation of dynamic I/O control scheme for large scale distributed file systems. Clust. Comput. Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son
2022	B	`conf`	Exploring Large All-Flash Storage System with Scientific Simulation. SSDBM Junmin Gu, Greg Eisenhauer, Scott Klasky, Norbert Podhorszki, Ruonan Wang, Kesheng Wu
2022	J	`jnl`	Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow. CoRR Jeeyung Kim, Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu
2022	J	`jnl`	Feature Engineering and Classification Models for Partial Discharge in Power Transformers. CoRR Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo
2022	J	`jnl`	Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 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
2022	J	`jnl`	Improving nonnegative matrix factorization with advanced graph regularization. Inf. Sci. Xiaoxia Zhang, Degang Chen, Hong Yu, Guoyin Wang, Houjun Tang, Kesheng Wu
2022	—	`conf`	Predicting Slow Network Transfers in Scientific Computing. SNTA@HPDC Robin Shao, Jinoh Kim, Alex Sim, Kesheng Wu
2022	J	`jnl`	Real-time and post-hoc compression for data from Distributed Acoustic Sensing. Comput. Geosci. Bin Dong, Alex Popescu, Verónica Rodríguez Tribaldos, Suren Byna, Jonathan Ajo-Franklin, Kesheng Wu
2022	—	`conf`	Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches. SNTA@HPDC Julian Bellavita, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila
2022	J	`jnl`	Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches. CoRR Julian Bellavita, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila
2022	B	`conf`	Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. CCGRID Kewei Wang, Sunwoo Lee, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-keng Liao
2021	—	`conf`	Access Patterns to Disk Cache for Large Scientific Archive. SNTA@HPDC Yumeng Wang, Kesheng Wu, Alex Sim, Shinjae Yoo, Shigeki Misawa
2021	J	`jnl`	Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers. CoRR Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim
2021	—	`conf`	Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures. IPDPS Workshops Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim
2021	Misc	`conf`	An In-Depth I/O Pattern Analysis in HPC Systems. HiPC Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Hanul Sung, Hyeonsang Eom
2021	J	`jnl`	An empirical study of I/O separation for burst buffers in HPC systems. J. Parallel Distributed Comput. Donghun Koo, Jaehwan Lee, Jialin Liu, Eun-Kyu Byun, Jae-Hyuck Kwak, Glenn K. Lockwood, Soonwook Hwang, Katie Antypas, Kesheng Wu, Hyeonsang Eom
2021	—	`conf`	Analyzing Scientific Data Sharing Patterns for In-network Data Caching. SNTA@HPDC Elizabeth Copps, Huiyi Zhang, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Edgar Fajardo Hernandez
2021	J	`jnl`	Analyzing scientific data sharing patterns for in-network data caching. CoRR Elizabeth Copps, Huiyi Zhang, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Edgar Fajardo Hernandez
2021	Misc	`conf`	Asynchronous I/O Strategy for Large-Scale Deep Learning Applications. HiPC Sunwoo Lee, Qiao Kang, Kewei Wang, Jan Balewski, Alex Sim, Ankit Agrawal, Alok N. Choudhary, Peter Nugent, Kesheng Wu, Wei-keng Liao
2021	—	`conf`	GPU-based Classification for Wireless Intrusion Detection. SNTA@HPDC Alina Lazar, Alex Sim, Kesheng Wu
2021	J	`jnl`	Improving Botnet Detection with Recurrent Neural Network and Transfer Learning. CoRR Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm
2021	J	`jnl`	Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR 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
2021	J	`jnl`	Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data. CoRR Ling Jin, C. Anna Spurlock, Sam Borgeson, Alina Lazar, Daniel Fredman, Annika Todd, Alexander Sim, Kesheng Wu
2021	J	`jnl`	Network traffic performance analysis from passive measurements using gradient boosting machine learning. Int. J. Big Data Intell. Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
2021	—	`conf`	Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions. IEEE BigData Alina Lazar, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alexander Sim, Kesheng Wu
2021	—	`book`	User-Defined Tensor Data Analysis, 2 Bin Dong, Kesheng Wu, Suren Byna
2020	B	`conf`	A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers. Networking Gaurav R. Ghosal, Dipak Ghosal, Alex Sim, Aditya V. Thakur, Kesheng Wu
2020	J	`jnl`	ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 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
2020	B	`conf`	Botnet Detection Using Recurrent Variational Autoencoder. GLOBECOM Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu
2020	J	`jnl`	Botnet Detection Using Recurrent Variational Autoencoder. CoRR Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu
2020	J	`jnl`	Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes. IEEE Access Ling Jin, Alina Lazar, James Sears, Annika Todd-Blick, Alexander Sim, Kesheng Wu, Hung-Chia Yang, C. Anna Spurlock
2020	A	`conf`	DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection. IPDPS Bin Dong, Verónica Rodríguez Tribaldos, Xin Xing, Suren Byna, Jonathan Ajo-Franklin, Kesheng Wu
2020	—	`conf`	Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data. IEEE BigData Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu
2020	J	`jnl`	Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data. CoRR Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu
2020	J	`jnl`	Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research. CoRR Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu
2020	—	`conf`	Effective Missing Value Imputation Methods for Building Monitoring Data. IEEE BigData Brian Cho, Teresa Dayrit, Yuan Gao, Zhe Wang, Tianzhen Hong, Alex Sim, Kesheng Wu
2020	J	`jnl`	Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. 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
2020	—	`conf`	Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection. SNTA@HPDC Shilpa Bhandari, Avinash K. Kukreja, Alina Lazar, Alex Sim, Kesheng Wu
2020	—	`conf`	HPC Workload Characterization Using Feature Selection and Clustering. SNTA@HPDC Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Sunggon Kim, Hyeonsang Eom
2020	B	`conf`	Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow. CCGRID Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu
2020	A	`conf`	Towards HPC I/O Performance Prediction through Large-scale Log Analysis. HPDC Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son, Hyeonsang Eom
2020	—	`conf`	Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder. SNTA@HPDC Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm
2019	B	`conf`	A Reinforcement Learning Based Network Scheduler for Deadline-Driven Data Transfers. GLOBECOM Dipak Ghosal, Sambit Shukla, Alex Sim, Aditya V. Thakur, Kesheng Wu
2019	—	`conf`	Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads. IEEE BigData Devarshi Ghoshal, Kesheng Wu, Eric Pouyoul, Erich Strohmaier
2019	—	`conf`	Automatic Detection of Network Traffic Anomalies and Changes. SNTA@HPDC Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
2019	—	`conf`	Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters. FMEC Sambit Shukla, Dipak Ghosal, Kesheng Wu, Alex Sim, Matthew K. Farrens
2019	B	`conf`	DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems. CCGRID Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Teng Wang, Yongseok Son, Hyeonsang Eom
2019	—	`conf`	Enabling SQL-Query Processing for Ethereum-based Blockchain Systems. WIMS Jongbeen Han, Heemin Kim, Hyeonsang Eom, Jonathan Coignard, Kesheng Wu, Yongseok Son
2019	J	`jnl`	Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization. ACM J. Data Inf. Qual. Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, Annika Todd
2019	—	`conf`	Federated Wireless Network Intrusion Detection. IEEE BigData Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
2019	—	`conf`	HDF5 as a vehicle for in transit data movement. ISAV@SC Junmin Gu, Burlen Loring, Kesheng Wu, E. Wes Bethel
2019	J	`jnl`	IDEALEM: Statistical Similarity Based Data Reduction. CoRR Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu
2019	J	`jnl`	Incremental nonnegative matrix factorization based on correlation and graph regularization for matrix completion. Int. J. Mach. Learn. Cybern. Xiaoxia Zhang, Degang Chen, Kesheng Wu
2019	—	`conf`	Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use. IEEE BigData Alina Lazar, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alexander Sim, Kesheng Wu
2019	J	`jnl`	Parallel membership queries on very large scientific data sets using bitmap indexes. Concurr. Comput. Pract. Exp. Beytullah Yildiz, Kesheng Wu, Suren Byna, Arie Shoshani
2019	—	`conf`	Performance Prediction for Data Transfers in LCLS Workflow. SNTA@HPDC Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu
2019	C	`conf`	SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis. ISC Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang
2019	—	`conf`	Similarity-based Compression with Multidimensional Pattern Matching. SNTA@HPDC Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu
2019	—	`conf`	Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. IEEE BigData Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H. Beckman, Zhengchun Liu, Wei-keng Liao
2019	J	`jnl`	Special issue on scientific and statistical data management. Distributed Parallel Databases Kesheng Wu, Florin Rusu
2019	B	`conf`	Terabyte-scale Particle Data Analysis: An ArrayUDF Case Study. SSDBM Bin Dong, Patrick Kilian, Xiaocan Li, Fan Guo, Suren Byna, Kesheng Wu
2019	—	`conf`	Understanding Data Similarity in Large-Scale Scientific Datasets. IEEE BigData Payton Linton, William Melodia, Alina Lazar, Deborah A. Agarwal, Ludovico Bianchi, Devarshi Ghoshal, Gilberto Zonta Pastorello, Lavanya Ramakrishnan, Kesheng Wu
2019	—	`conf`	Understanding Parallel I/O Performance Trends Under Various HPC Configurations. SNTA@HPDC Hanul Sung, Jiwoo Bang, Alexander Sim, Kesheng Wu, Hyeonsang Eom
2018	—	`conf`	ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage. IEEE BigData Bin Dong, Teng Wang, Houjun Tang, Quincey Koziol, Kesheng Wu, Suren Byna
2018	A*	`conf`	ArrayBridge: Interweaving Declarative Array Processing in SciDB with Imperative HDF5-Based Programs. ICDE Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, Prabhat, Kesheng Wu, Paul Brown
2018	—	`conf`	Auto-Tuned Publisher in a Pub/Sub System: Design and Performance Evaluation. ICAC Sowmya Balasubramanian, Dipak Ghosal, Kamala Narayanan Balasubramanian Sharath, Eric Pouyoul, Alex Sim, Kesheng Wu, Brian Tierney
2018	J	`jnl`	Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE. Int. J. Comput. Sci. Eng. Weijie Zhao, Florin Rusu, Kesheng Wu, Peter Nugent
2018	J	`jnl`	Consensus Ensemble System for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Alex Sim, Kesheng Wu
2018	—	`conf`	Detecting Anomalies in the LCLS Workflow. IEEE BigData Tal Shachaf, Alexander Sim, Kesheng Wu, Wilko Kroeger
2018	J	`jnl`	Distributed Caching for Complex Querying of Raw Arrays. CoRR Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent
2018	B	`conf`	Distributed caching for processing raw arrays. SSDBM Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent
2018	—	`conf`	Efficient Online Hyperparameter Learning for Traffic Flow Prediction. ITSC Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu
2018	J	`jnl`	Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction. CoRR Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu
2018	—	`conf`	Identifying Anomalous File Transfer Events in LCLS Workflow. AI-Science@HPDC Mengying Yang, Xinyu Liu, Wilko Kroeger, Alex Sim, Kesheng Wu
2018	A	`conf`	Modeling Data Transfers: Change Point and Anomaly Detection. ICDCS Cecilia Dao, Xinyu Liu, Alex Sim, Craig Tull, Kesheng Wu
2018	—	`conf`	Predicting Network Traffic Using TCP Anomalies. IEEE BigData Alina Lazar, Kesheng Wu, Alex Sim
2018	J	`jnl`	Predicting baseline for analysis of electricity pricing. Int. J. Big Data Intell. Taehoon Kim, Jaesik Choi, Dongeun Lee, Alex Sim, C. Anna Spurlock, Annika Todd, Kesheng Wu
2018	—	`conf`	Querying Large Scientific Data Sets with Adaptable IO System ADIOS. SCFA Junmin Gu, Scott Klasky, Norbert Podhorszki, Ji Qiang, Kesheng Wu
2018	—	`conf`	Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. AI-Science@HPDC Rajkumar Kettimuthu, Zhengchun Liu, Ian T. Foster, Peter H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok N. Choudhary
2017	—	`conf`	Accurate signal timing from high frequency streaming data. IEEE BigData Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo
2017	B	`conf`	Apply Block Index Technique to Scientific Data Analysis and I/O Systems. CCGrid Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Norbert Podhorszki, Junmin Gu, Yuan Tian, Scott Klasky, Kesheng Wu
2017	J	`jnl`	ArrayBridge: Interweaving declarative array processing with high-performance computing. CoRR Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, Prabhat, Kesheng Wu, Paul Brown
2017	A	`conf`	ArrayUDF: User-Defined Scientific Data Analysis on Arrays. HPDC Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu
2017	—	`conf`	Comparison of Clustering Techniques for Residential Energy Behavior Using Smart Meter Data. AAAI Workshops Ling Jin, Doris Lee, Alex Sim, Sam Borgeson, Kesheng Wu, C. Anna Spurlock, Annika Todd
2017	—	`conf`	Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data. DASC/PiCom/DataCom/CyberSciTech Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo
2017	—	`conf`	Data quality challenges with missing values and mixed types in joint sequence analysis. IEEE BigData Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim
2017	B	`conf`	Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns. DCC Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu
2017	C	`conf`	Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers. BDCAT Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo
2017	B	`conf`	Improving Statistical Similarity Based Data Reduction for Non-Stationary Data. SSDBM Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu
2017	—	`conf`	Incremental View Maintenance over Array Data. SIGMOD Conference Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent
2017	A	`conf`	Optimizing the query performance of block index through data analysis and I/O modeling. SC Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Shyng Hao, Bin Dong, Scott Klasky, Kesheng Wu
2017	B	`conf`	Parallel Variable Selection for Effective Performance Prediction. CCGrid Jonathan Wang, Wucherl Yoo, Alex Sim, Peter Nugent, Kesheng Wu
2017	C	`conf`	UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data. ICMLA Shashanka Ubaru, Kesheng Wu, Kristofer E. Bouchard
2016	J	`jnl`	A science data gateway for environmental management. Concurr. Comput. Pract. Exp. 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
2016	—	`conf`	AMR-aware in situ indexing and scalable querying. SpringSim (HPS) Xiaocheng Zou, David A. Boyuka II, Dhara Desai, Daniel F. Martin, Surendra Byna, Kesheng Wu
2016	B	`conf`	AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications. CCGrid Wenzhao Zhang, Houjun Tang, Steve Harenberg, Surendra Byna, Xiaocheng Zou, Dharshi Devendran, Daniel F. Martin, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F. Samatova
2016	Misc	`conf`	Data Elevator: Low-Contention Data Movement in Hierarchical Storage System. HiPC Bin Dong, Suren Byna, Kesheng Wu, Prabhat, Hans Johansen, Jeffrey N. Johnson, Noel Keen
2016	—	`conf`	Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications. IEEE BigData Wenzhao Zhang, Houjun Tang, Stephen Ranshous, Surendra Byna, Daniel F. Martin, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F. Samatova
2016	B	`conf`	In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses. ICPP 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
2016	B	`conf`	Indexing Blocks to Reduce Space and Time Requirements for Searching Large Data Files. CCGrid Tzu-Hsien Wu, Hao Shyng, Jerry Chi-Yuan Chou, Bin Dong, Kesheng Wu
2016	—	`conf`	MPO: A System to Document and Analyze Distributed Heterogeneous Workflows. IPAW Kesheng Wu, Elizabeth N. Coviello, S. M. Flanagan, Martin Greenwald, Xia Lee, Alexandru Romosan, David P. Schissel, Arie Shoshani, Josh Stillerman, John C. Wright
2016	B	`conf`	Novel Data Reduction Based on Statistical Similarity. SSDBM Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu
2016	A	`conf`	SDS-Sort: Scalable Dynamic Skew-aware Parallel Sorting. HPDC Bin Dong, Surendra Byna, Kesheng Wu
2016	—	`conf`	Similarity Join over Array Data. SIGMOD Conference Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu
2016	J	`jnl`	Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer. IEEE J. Sel. Top. Signal Process. Gili Rosenberg, Poya Haghnegahdar, Phil Goddard, Peter Carr, Kesheng Wu, Marcos López de Prado
2016	B	`conf`	Usage Pattern-Driven Dynamic Data Layout Reorganization. CCGrid Houjun Tang, Surendra Byna, Steve Harenberg, Xiaocheng Zou, Wenzhao Zhang, Kesheng Wu, Bin Dong, Oliver Rübel, Kristofer E. Bouchard, Scott Klasky, Nagiza F. Samatova
2016	—	`conf`	Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops 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
2015	—	`conf`	Extracting Baseline Electricity Usage Using Gradient Tree Boosting. SmartCity Taehoon Kim, Dongeun Lee, Jaesik Choi, Anna Spurlock, Alex Sim, Annika Todd, Kesheng Wu
2015	—	`conf`	Heavy-tailed distribution of parallel I/O system response time. PDSW@SC Bin Dong, Surendra Byna, Kesheng Wu
2015	B	`conf`	In-memory Query System for Scientific Dataseis. ICPADS Hsuan-Te Chiu, Jerry Chi-Yuan Chou, Venkat Vishwanath, Kesheng Wu
2015	C	`conf`	PATHA: Performance Analysis Tool for HPC Applications. IPCCC Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu
2015	B	`conf`	Parallel In Situ Detection of Connected Components in Adaptive Mesh Refinement Data. CCGRID 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
2015	—	`conf`	Security for the scientific data services framework. IEEE BigData Jinoh Kim, Bin Dong, Surendra Byna, Kesheng Wu
2015	J	`jnl`	Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer. CoRR Gili Rosenberg, Poya Haghnegahdar, Phil Goddard, Peter Carr, Kesheng Wu, Marcos López de Prado
2015	—	`conf`	Solving the optimal trading trajectory problem using a quantum annealer. WHPCF@SC Gili Rosenberg, Poya Haghnegahdar, Phil Goddard, Peter Carr, Kesheng Wu, Marcos López de Prado
2015	—	`conf`	Spatially clustered join on heterogeneous scientific data sets. IEEE BigData Bin Dong, Surendra Byna, Kesheng Wu
2015	J	`jnl`	Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data. CoRR Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky
2014	—	`conf`	Exploring irregular time series through non-uniform fast Fourier transform. WHPCF@SC Jung Heon Song, Marcos López de Prado, Horst D. Simon, Kesheng Wu
2014	J	`jnl`	Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurr. Comput. Pract. Exp. 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
2014	—	`conf`	Implementing the Palomar Transient Factory Real-Time Detection Pipeline in GLADE: Results and Observations. DNIS Florin Rusu, Peter Nugent, Kesheng Wu
2014	—	`conf`	Model-Driven Data Layout Selection for Improving Read Performance. IPDPS Workshops Jialin Liu, Surendra Byna, Bin Dong, Kesheng Wu, Yong Chen
2014	—	`conf`	Parallel data analysis directly on scientific file formats. SIGMOD Conference Spyros Blanas, Kesheng Wu, Surendra Byna, Bin Dong, Arie Shoshani
2014	C	`conf`	Parallel query evaluation as a Scientific Data Service. CLUSTER Bin Dong, Surendra Byna, Kesheng Wu
2014	B	`conf`	Simplifying index file structure to improve I/O performance of parallel indexing. ICPADS Hsuan-Te Chiu, Jerry Chi-Yuan Chou, Venkat Vishwanath, Surendra Byna, Kesheng Wu
2013	J	`jnl`	A big data approach to analyzing market volatility. Algorithmic Finance Kesheng Wu, E. Wes Bethel, Ming Gu, David Leinweber, Oliver Rübel
2013	B	`conf`	Accelerating gene context analysis using bitmaps. SSDBM Alexandru Romosan, Arie Shoshani, Kesheng Wu, Victor M. Markowitz, Konstantinos Mavrommatis
2013	C	`conf`	Expediting scientific data analysis with reorganization of data. CLUSTER Bin Dong, Surendra Byna, Kesheng Wu
2013	—	`conf`	Fast Change Point Detection for electricity market analysis. IEEE BigData William Gu, Jaesik Choi, Ming Gu, Horst D. Simon, Kesheng Wu
2013	B	`conf`	Optimizing fastquery performance on lustre file system. SSDBM Kuan-Wu Lin, Surendra Byna, Jerry Chi-Yuan Chou, Kesheng Wu
2013	—	`conf`	SDS: a framework for scientific data services. PDSW@SC Bin Dong, Surendra Byna, Kesheng Wu
2012	—	`conf`	Efficient Attribute-Based Data Access in Astronomy Analysis. SC Companion Benson Ma, Arie Shoshani, Alexander Sim, Kesheng Wu, Yong-Ik Byun, Jaegyoon Hahm, Min-Su Shin
2012	B	`conf`	Minimizing Index Size by Reordering Rows and Columns. SSDBM Elaheh Pourabbas, Arie Shoshani, Kesheng Wu
2012	A	`conf`	Parallel I/O, analysis, and visualization of a trillion particle simulation. SC 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
2012	—	`ch.`	Query-Driven Visualization and Analysis. High Performance Visualization Oliver Rübel, E. Wes Bethel, Kesheng Wu
2012	Misc	`conf`	TECA: A Parallel Toolkit for Extreme Climate Analysis. ICCS Prabhat, Oliver Rübel, Surendra Byna, Kesheng Wu, Fuyu Li, Michael F. Wehner, Wes Bethel
2011	—	`conf`	A Communication-Avoiding Thick-Restart Lanczos Method on a Distributed-Memory System. Euro-Par Workshops (1) Ichitaro Yamazaki, Kesheng Wu
2011	B	`conf`	FastQuery: A General Indexing and Querying System for Scientific Data. SSDBM Jerry Chi-Yuan Chou, Kesheng Wu, Prabhat
2011	C	`conf`	FastQuery: A Parallel Indexing System for Scientific Data. CLUSTER Jerry Chi-Yuan Chou, Kesheng Wu, Prabhat
2011	—	`conf`	Federal market information technology in the post flash crash era: roles for supercomputing. WHPCF@SC E. Wes Bethel, David Leinweber, Oliver Rübel, Kesheng Wu
2011	B	`conf`	Massive-Scale RDF Processing Using Compressed Bitmap Indexes. SSDBM Kamesh Madduri, Kesheng Wu
2011	—	`conf`	Parallel in situ indexing for data-intensive computing. LDAV Jinoh Kim, Hasan Abbasi, Luis Chacón, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, Kesheng Wu
2011	A	`conf`	Parallel index and query for large scale data analysis. SC Jerry Chi-Yuan Chou, Mark Howison, Brian Austin, Kesheng Wu, Ji Qiang, E. Wes Bethel, Arie Shoshani, Oliver Rübel, Prabhat, Robert D. Ryne
2010	J	`jnl`	Adaptive Projection Subspace Dimension for the Thick-Restart Lanczos Method. ACM Trans. Math. Softw. Ichitaro Yamazaki, Zhaojun Bai, Horst D. Simon, Lin-Wang Wang, Kesheng Wu
2010	J	`jnl`	Analyses of multi-level and multi-component compressed bitmap indexes. ACM Trans. Database Syst. Kesheng Wu, Arie Shoshani, Kurt Stockinger
2010	C	`conf`	Finding Tropical Cyclones on a Cloud Computing Cluster: Using Parallel Virtualization for Large-Scale Climate Simulation Analysis. CloudCom Daren Hasenkamp, Alexander Sim, Michael F. Wehner, Kesheng Wu
2010	C	`conf`	Multi-level bitmap indexes for flash memory storage. IDEAS Kesheng Wu, Kamesh Madduri, Shane Canon
2009	—	`ch.`	Accelerating Queries on Very Large Datasets. Scientific Data Management Ekow J. Otoo, Kesheng Wu
2009	B	`conf`	Data Parallel Bin-Based Indexing for Answering Queries on Multi-core Architectures. SSDBM Luke J. Gosink, Kesheng Wu, E. Wes Bethel, John D. Owens, Kenneth I. Joy
2009	A	`conf`	Efficient joins with compressed bitmap indexes. CIKM Kamesh Madduri, Kesheng Wu
2009	A	`conf`	Efficiently Extracting Operational Profiles from Execution Logs Using Suffix Arrays. ISSRE Meiyappan Nagappan, Kesheng Wu, Mladen A. Vouk
2009	J	`jnl`	Fast connected-component labeling. Pattern Recognit. Lifeng He, Yuyan Chao, Kenji Suzuki, Kesheng Wu
2009	B	`conf`	Finding Regions of Interest in Large Scientific Datasets. SSDBM Rishi Rakesh Sinha, Marianne Winslett, Kesheng Wu
2009	J	`jnl`	Optimizing two-pass connected-component labeling algorithms. Pattern Anal. Appl. Kesheng Wu, Ekow J. Otoo, Kenji Suzuki
2009	—	`ch.`	Using Bitmap Index for Joint Queries on Structured and Text Data. New Trends in Data Warehousing and Data Analysis Kurt Stockinger, John Cieslewicz, Kesheng Wu, Doron Rotem, Arie Shoshani
2008	A*	`conf`	Adaptive Bitmap Indexes for Space-Constrained Systems. ICDE Rishi Rakesh Sinha, Marianne Winslett, Kesheng Wu, Kurt Stockinger, Arie Shoshani
2008	B	`conf`	Breaking the Curse of Cardinality on Bitmap Indexes. SSDBM Kesheng Wu, Kurt Stockinger, Arie Shoshani
2008	A	`conf`	Efficient Operational Profiling of Systems Using Suffix Arrays on Execution Logs. ISSRE Meiyappan Nagappan, Mladen A. Vouk, Kesheng Wu, Alex Sim, Arie Shoshani
2008	A	`conf`	High performance multivariate visual data exploration for extremely large data. SC 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
2007	C	`conf`	Bitmap Index Design Choices and Their Performance Implications. IDEAS Elizabeth J. O'Neil, Patrick E. O'Neil, Kesheng Wu
2007	B	`conf`	Enabling Real-Time Querying of Live and Historical Stream Data. SSDBM Frederick Reiss, Kurt Stockinger, Kesheng Wu, Arie Shoshani, Joseph M. Hellerstein
2006	—	`conf`	Accelerating Network Traffic Analytics Using Query-Driven Visualization. IEEE VAST E. Wes Bethel, Scott Campbell, Eli Dart, Kurt Stockinger, Kesheng Wu
2006	B	`conf`	HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets using Fast Bitmap Indices. SSDBM Luke J. Gosink, John Shalf, Kurt Stockinger, Kesheng Wu, Wes Bethel
2006	A	`conf`	Imaging and visual analysis - Detecting distributed scans using high-performance query-driven visualization. SC Kurt Stockinger, E. Wes Bethel, Scott Campbell, Eli Dart, Kesheng Wu
2006	B	`conf`	Minimizing I/O Costs of Multi-Dimensional Queries with Bitmap Indices. SSDBM Doron Rotem, Kurt Stockinger, Kesheng Wu
2006	J	`jnl`	Optimizing bitmap indices with efficient compression. ACM Trans. Database Syst. Kesheng Wu, Ekow J. Otoo, Arie Shoshani
2005	B	`conf`	DEX: Increasing the Capability of Scientific Data Analysis Pipelines by Using Efficient Bitmap Indices to Accelerate Scientific Visualization. SSDBM Kurt Stockinger, John Shalf, E. Wes Bethel, Kesheng Wu
2005	A	`conf`	Network Traffic Analysis With Query Driven Visualization SC 2005 HPC Analytics Results. SC 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
2005	C	`conf`	Optimizing I/O Costs of Multi-dimensional Queries Using Bitmap Indices. DEXA Doron Rotem, Kurt Stockinger, Kesheng Wu
2005	A	`conf`	Optimizing candidate check costs for bitmap indices. CIKM Doron Rotem, Kurt Stockinger, Kesheng Wu
2005	B	`conf`	Optimizing connected component labeling algorithms. Image Processing Kesheng Wu, Ekow J. Otoo, Arie Shoshani
2005	A	`conf`	Query-Driven Visualization of Large Data Sets. IEEE Visualization Kurt Stockinger, John Shalf, Kesheng Wu, E. Wes Bethel
2004	C	`conf`	Evaluation Strategies for Bitmap Indices with Binning. DEXA Kurt Stockinger, Kesheng Wu, Arie Shoshani
2004	A*	`conf`	On the performance of bitmap indices for high cardinality attributes. VLDB Kesheng Wu, Ekow J. Otoo, Arie Shoshani
2003	B	`conf`	Using Bitmap Index for Interactive Exploration of Large Datasets. SSDBM Kesheng Wu, Wendy S. Koegler, Jacqueline Chen, Arie Shoshani
2002	J	`jnl`	A Block Orthogonalization Procedure with Constant Synchronization Requirements. SIAM J. Sci. Comput. Andreas Stathopoulos, Kesheng Wu
2002	B	`conf`	Compressing Bitmap Indexes for Faster Search Operations. SSDBM Kesheng Wu, Ekow J. Otoo, Arie Shoshani
2002	C	`conf`	Strategies for processing ad hoc queries on large data warehouses. DOLAP Kurt Stockinger, Kesheng Wu, Arie Shoshani
2001	A	`conf`	A Performance Comparison of bitmap indexes. CIKM Kesheng Wu, Ekow J. Otoo, Arie Shoshani
2000	J	`jnl`	Thick-Restart Lanczos Method for Large Symmetric Eigenvalue Problems. SIAM J. Matrix Anal. Appl. Kesheng Wu, Horst D. Simon
1999	Misc	`conf`	An Evaluation of the Parallel Shift-and-Invert Lanczos Method. PDPTA Kesheng Wu, Horst D. Simon
1999	—	`conf`	Parallel Efficiency of the Lanczos Method for Eigenvalue Problems. PP Kesheng Wu, Horst D. Simon
1998	A	`conf`	A new Lanczos method for electronic structure calculations. SC Kesheng Wu, Andrew Canning, Horst D. Simon
1998	J	`jnl`	Dynamic Thick Restarting of the Davidson, and the Implicitly Restarted Arnoldi Methods. SIAM J. Sci. Comput. Andreas Stathopoulos, Yousef Saad, Kesheng Wu
1998	—	`conf`	Thick-Restart Lanczos Method for Symmetric Eigenvalue Problems. IRREGULAR Kesheng Wu, Horst D. Simon
1996	J	`jnl`	DQGMRES: a Direct Quasi-minimal Residual Algorithm Based on Incomplete Orthogonalization. Numer. Linear Algebra Appl. Yousef Saad, Kesheng Wu
1993	—	`conf`	Basic Sparse Computations on Data Parallel Computers. PPSC William R. Ferng, Serge G. Petiton, Kesheng Wu
1993	—	`conf`	Performance of the CM-5 and Message Passing Primitives. PPSC Kesheng Wu, Yousef Saad
1993	—	`conf`	Sparse Matrix Computations on the CM-5. PPSC Yousef Saad, Kesheng Wu, Serge G. Petiton