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2020 – today
- 2024
[j34]Jean Luca Bez
, Houjun Tang, M. Scot Breitenfeld, Huihuo Zheng, Wei-Keng Liao, Kaiyuan Hou, Zanhua Huang, Suren Byna:
h5bench: A unified benchmark suite for evaluating HDF5 I/O performance on pre-exascale platforms. Concurr. Comput. Pract. Exp. 36(16) (2024)- [c114]Alexandra L. Day, Carolin B. Wahl, Roberto dos Reis, Wei-keng Liao, Vinayak P. Dravid, Alok N. Choudhary, Ankit Agrawal:
Automated Nanoparticle Image Processing Pipeline for AI-Driven Materials Characterization. CIKM 2024: 4462-4469 - [i15]V. Hewes, Adam Aurisano, Giuseppe Cerati, Jim Kowalkowski, Claire Songhyun Lee, Wei-keng Liao, Daniel Grzenda, Kaushal Gumpula, Xiaohe Zhang:
NuGraph2: A Graph Neural Network for Neutrino Physics Event Reconstruction. CoRR abs/2403.11872 (2024) - 2023
- [j33]Vishu Gupta, Kamal Choudhary, Yuwei Mao, Kewei Wang, Francesca Tavazza, Carelyn Campbell, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
MPpredictor: An Artificial Intelligence-Driven Web Tool for Composition-Based Material Property Prediction. J. Chem. Inf. Model. 63(7): 1865-1871 (2023) - [j32]Yuwei Mao, Hui Lin, Christina Xuan Yu, Roger Frye, Darren Beckett, Kevin Anderson, Lars Jacquemetton, Fred Carter, Zhangyuan Gao, Wei-keng Liao, Alok N. Choudhary, Kornel F. Ehmann, Ankit Agrawal:
A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures. J. Intell. Manuf. 34(1): 315-329 (2023) - [c113]Claire Songhyun Lee, V. Hewes, Giuseppe Cerati, Jim Kowalkowski, Adam Aurisano, Ankit Agrawal, Alok N. Choudhary, Wei-Keng Liao:
A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. CCGrid 2023: 71-81 - [c112]Vishu Gupta, Yuhui Lyu, Derick Suarez, Yuwei Mao, Wei-Keng Liao, Alok N. Choudhary, Wing Kam Liu, Gianluca Cusatis, Ankit Agrawal:
Physics-based Data-Augmented Deep Learning for Enhanced Autogenous Shrinkage Prediction on Experimental Dataset. IC3 2023: 188-197 - [c111]Yuwei Mao, Mahmudul Hasan, Claire Songhyun Lee, Muhammed Nur Talha Kilic, Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Pinar Acar, Ankit Agrawal:
A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction. ICMLA 2023: 890-893 - [c110]Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Pre-Activation based Representation Learning to Enhance Predictive Analytics on Small Materials Data. IJCNN 2023: 1-8 - [c109]Yuwei Mao, Shahriyar Keshavarz, Vishu Gupta, Andrew C. E. Reid, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations. IJCNN 2023: 1-8 - [c108]Zanhua Huang, Kaiyuan Hou, Ankit Agrawal, Alok N. Choudhary, Robert B. Ross, Wei-Keng Liao:
I/O in WRF: A Case Study in Modern Parallel I/O Techniques. SC 2023: 94:1-94:13 - 2022
- [j31]Sunwoo Lee, Qiao Kang, Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving scalability of parallel CNN training by adaptively adjusting parameter update frequency. J. Parallel Distributed Comput. 159: 10-23 (2022) - [j30]Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James B. Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. Parallel Comput. 110: 102877 (2022) - [c107]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 - [c106]Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Ankit Agrawal:
Which Deep Learning Framework Should I Use: A Comparative Study For Deep Regression Modeling. CSCI 2022: 72-77 - [c105]Yuwei Mao, Vishu Gupta, Kewei Wang, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
To Shuffle or Not To Shuffle: Mini-Batch Shuffling Strategies for Multi-class Imbalanced Classification. CSCI 2022: 298-301 - [c104]Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
BRNet: Branched Residual Network for Fast and Accurate Predictive Modeling of Materials Properties. SDM 2022: 343-351 - [i14]Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis. CoRR abs/2205.01168 (2022) - [i13]Dipendra Jha, K. V. L. V. Narayanachari, Ruifeng Zhang, Justin Liao, Denis T. Keane, Wei-keng Liao, Alok N. Choudhary, Yip-Wah Chung, Michael J. Bedzyk, Ankit Agrawal:
An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations. CoRR abs/2211.04011 (2022) - 2021
- [j29]Arindam Paul, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Harnessing Psycho-lingual and Crowd-Sourced Dictionaries for Predicting Taboos in Written Emotional Disclosure in Anonymous Confession Boards. J. Heal. Informatics Res. 5(3): 319-341 (2021) - [j28]Sandeep Madireddy, Ji Hwan Park, Sunwoo Lee, Prasanna Balaprakash, Shinjae Yoo, Wei-keng Liao, Cory D. Hauck, M. Paul Laiu, Richard Archibald:
In situ compression artifact removal in scientific data using deep transfer learning and experience replay. Mach. Learn. Sci. Technol. 2(2): 25010 (2021) - [c103]Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Supporting Data Compression in PnetCDF. IEEE BigData 2021: 86-97 - [c102]Qiao Kang, M. Scot Breitenfeld, Kaiyuan Hou, Wei-keng Liao, Robert B. Ross, Suren Byna:
Optimizing Performance of Parallel I/O Accesses to Non-contiguous Blocks in Multiple Array Variables. IEEE BigData 2021: 98-108 - [c101]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 - [c100]Reda Al-Bahrani, Dipendra Jha, Qiao Kang, Sunwoo Lee, Zijiang Yang, Wei-Keng Liao, Ankit Agrawal, Alok N. Choudhary:
SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network. ICPRAM 2021: 349-356 - [c99]Dipendra Jha, K. V. L. V. Narayanachari, Ruifeng Zhang, Denis T. Keane, Wei-keng Liao, Alok N. Choudhary, Yip-Wah Chung, Michael J. Bedzyk, Ankit Agrawal:
Enhancing Phase Mapping for High-throughput X-ray Diffraction Experiments using Fuzzy Clustering. ICPRAM 2021: 507-514 - [i12]Zijiang Yang, Dipendra Jha, Arindam Paul, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design. CoRR abs/2101.10553 (2021) - 2020
- [j27]Jianwei Liao, Zhibing Sha, Zhigang Cai, Zhiming Liu, Kenli Li, Wei-Keng Liao, Alok N. Choudhary, Yutaka Ishikawa:
Toward Efficient Block Replication Management in Distributed Storage. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(3): 13:1-13:27 (2020) - [j26]Qiao Kang, Sunwoo Lee, Kaiyuan Hou, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving MPI Collective I/O for High Volume Non-Contiguous Requests With Intra-Node Aggregation. IEEE Trans. Parallel Distributed Syst. 31(11): 2682-2695 (2020) - [c98]Sunwoo Lee, Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Communication-Efficient Local Stochastic Gradient Descent for Scalable Deep Learning. IEEE BigData 2020: 718-727 - [c97]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 - [c96]Zijiang Yang, Tetsushi Watari, Daisuke Ichigozaki, Akita Mitsutoshi, Hiroaki Takahashi, Yoshinori Suga, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Heterogeneous Feature Fusion Based Machine Learning on Shallow-Wide and Heterogeneous-Sparse Industrial Datasets. ICPR Workshops (4) 2020: 566-577 - [c95]Qiao Kang, Robert B. Ross, Robert Latham, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving all-to-many personalized communication in two-phase I/O. SC 2020: 10 - [i11]Esteban Rangel, Nicholas Frontiere, Salman Habib, Katrin Heitmann, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
Building Halo Merger Trees from the Q Continuum Simulation. CoRR abs/2008.08519 (2020)
2010 – 2019
- 2019
- [j25]Qiao Kang, Jesper Larsson Träff, Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Scalable Algorithms for MPI Intergroup Allgather and Allgatherv. Parallel Comput. 85: 220-230 (2019) - [c94]Sunwoo Lee, Qiao Kang, Sandeep Madireddy, Prasanna Balaprakash, Ankit Agrawal, Alok N. Choudhary, Richard Archibald, Wei-keng Liao:
Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time. IEEE BigData 2019: 830-839 - [c93]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 - [c92]Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok N. Choudhary, Jian Cao, Ankit Agrawal:
A Real-Time Iterative Machine Learning Approach for Temperature Profile Prediction in Additive Manufacturing Processes. DSAA 2019: 541-550 - [c91]Zijiang Yang, Tetsushi Watari, Daisuke Ichigozaki, Kei Morohoshi, Yoshinori Suga, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Data-Driven Insights from Predictive Analytics on Heterogeneous Experimental Data of Industrial Magnetic Materials. ICDM Workshops 2019: 806-813 - [c90]Dipendra Jha, Aaron Gilad Kusne, Reda Al-Bahrani, Nam Nguyen, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns. IJCNN 2019: 1-8 - [c89]Arindam Paul, Dipendra Jha, Reda Al-Bahrani, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening. IJCNN 2019: 1-8 - [c88]Zijiang Yang, Reda Al-Bahrani, Andrew C. E. Reid, Stefanos Papanikolaou, Surya R. Kalidindi, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics. IJCNN 2019: 1-8 - [c87]Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. KDD 2019: 2385-2393 - [i10]Arindam Paul, Dipendra Jha, Reda Al-Bahrani, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening. CoRR abs/1903.03178 (2019) - [i9]Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. CoRR abs/1907.03222 (2019) - [i8]Qiao Kang, Sunwoo Lee, Kaiyuan Hou, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving MPI Collective I/O Performance With Intra-node Request Aggregation. CoRR abs/1907.12656 (2019) - [i7]Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok N. Choudhary, Jian Cao, Ankit Agrawal:
A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes. CoRR abs/1907.12953 (2019) - 2018
- [c86]Dianwei Han, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation. IEEE BigData 2018: 305-312 - [c85]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 - [c84]Qiao Kang, Jesper Larsson Träff, Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Full-Duplex Inter-Group All-to-All Broadcast Algorithms with Optimal Bandwidth. EuroMPI 2018: 1:1-1:10 - [c83]Kaiyuan Hou, Reda Al-Bahrani, Esteban Rangel, Ankit Agrawal, Robert Latham, Robert B. Ross, Alok N. Choudhary, Wei-keng Liao:
Integration of Burst Buffer in High-level Parallel I/O Library for Exa-scale Computing Era. PDSW-DISCS@SC 2018: 1-12 - [c82]Tatiana V. Martsinkevich, Balazs Gerofi, Guo-Yuan Lien, Seiya Nishizawa, Wei-keng Liao, Takemasa Miyoshi, Hirofumi Tomita, Yutaka Ishikawa, Alok N. Choudhary:
DTF: An I/O Arbitration Framework for Multi-component Data Processing Workflows. ISC 2018: 63-80 - [i6]Arindam Paul, Dipendra Jha, Reda Al-Bahrani, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations. CoRR abs/1811.08283 (2018) - 2017
- [j24]Jianwei Liao, Balazs Gerofi, Guo-Yuan Lien, Takemasa Miyoshi, Seiya Nishizawa, Hirofumi Tomita, Wei-Keng Liao, Alok N. Choudhary, Yutaka Ishikawa:
A flexible I/O arbitration framework for netCDF-based big data processing workflows on high-end supercomputers. Concurr. Comput. Pract. Exp. 29(15) (2017) - [j23]Seung Woo Son, Saba Sehrish, Wei-keng Liao, Ron A. Oldfield, Alok N. Choudhary:
Reducing I/O variability using dynamic I/O path characterization in petascale storage systems. J. Supercomput. 73(5): 2069-2097 (2017) - [c81]Sunwoo Lee, Dipendra Jha, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication. HiPC 2017: 183-192 - [c80]Esteban Rangel, Nicholas Frontiere, Salman Habib, Katrin Heitmann, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
Building Halo Merger Trees from the Q Continuum Simulation. HiPC 2017: 398-407 - [c79]Reda Al-Bahrani, Margaret K. Danilovich, Wei-Keng Liao, Alok N. Choudhary, Ankit Agrawal:
Analyzing Informal Caregiving Expression in Social Media. ICDM Workshops 2017: 342-349 - [c78]Qiao Kang, Wei-Keng Liao, Ankit Agrawal, Alok N. Choudhary:
A Hybrid Training Algorithm for Recurrent Neural Network Using Particle Swarm Optimization-Based Preprocessing and Temporal Error Aggregation. ICDM Workshops 2017: 812-817 - [c77]Reda Al-Bahrani, Margaret K. Danilovich, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Towards Identifying Informal Caregivers of Alzheimer's and Dementia Patients in Social Media. ICHI 2017: 324 - [i5]Zheng Yuan, William Hendrix, Seung Woo Son, Christoph Federrath, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel Implementation of Lossy Data Compression for Temporal Data Sets. CoRR abs/1703.02438 (2017) - 2016
- [c76]Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Nikos Hardavellas, Alok N. Choudhary:
Evaluation of K-means data clustering algorithm on Intel Xeon Phi. IEEE BigData 2016: 2251-2260 - [c75]Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary, Marc De Graef:
Materials discovery: Understanding polycrystals from large-scale electron patterns. IEEE BigData 2016: 2261-2269 - [c74]Ruoqian Liu, Diana Palsetia, Arindam Paul, Reda Al-Bahrani, Dipendra Jha, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
PinterNet: A thematic label curation tool for large image datasets. IEEE BigData 2016: 2353-2362 - [c73]Qiao Kang, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
A Filtering-based Clustering Algorithm for Improving Spatio-temporal Kriging Interpolation Accuracy. CIKM 2016: 2209-2214 - [c72]Esteban Rangel, Nan Li, Salman Habib, Tom Peterka, Ankit Agrawal, Wei-Keng Liao, Alok N. Choudhary:
Parallel DTFE Surface Density Field Reconstruction. CLUSTER 2016: 30-39 - [c71]Zheng Yuan, William Hendrix, Seung Woo Son, Christoph Federrath, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel Implementation of Lossy Data Compression for Temporal Data Sets. HiPC 2016: 62-71 - [c70]Esteban Rangel, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, William Hendrix:
AGORAS: A Fast Algorithm for Estimating Medoids in Large Datasets. ICCS 2016: 1159-1169 - [c69]Dianwei Han, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A Novel Scalable DBSCAN Algorithm with Spark. IPDPS Workshops 2016: 1393-1402 - [c68]Diana Palsetia, William Hendrix, Sunwoo Lee, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication. ISC 2016: 98-115 - 2015
- [j22]Bharath Pattabiraman, Md. Mostofa Ali Patwary, Assefaw Hadish Gebremedhin, Wei-keng Liao, Alok N. Choudhary:
Fast Algorithms for the Maximum Clique Problem on Massive Graphs with Applications to Overlapping Community Detection. Internet Math. 11(4-5): 421-448 (2015) - [j21]Seong Jo Kim, Yuanrui Zhang, Seung Woo Son, Mahmut T. Kandemir, Wei-keng Liao, Rajeev Thakur, Alok N. Choudhary:
IOPro: a parallel I/O profiling and visualization framework for high-performance storage systems. J. Supercomput. 71(3): 840-870 (2015) - [c67]Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary, Zhengzhang Chen:
Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization. IC3 2015: 13-18 - 2014
- [j20]Seung Woo Son, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Data Compression for the Exascale Computing Era - Survey. Supercomput. Front. Innov. 1(2): 76-88 (2014) - [j19]Luobin Yang, Steve C. Chiu, Wei-keng Liao, Michael A. Thomas:
High performance data clustering: a comparative analysis of performance for GPU, RASC, MPI, and OpenMP implementations. J. Supercomput. 70(1): 284-300 (2014) - [c66]Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Enhancing Financial Decision-Making Using Social Behavior Modeling. SNAKDD 2014: 13:1-13:5 - [c65]Zhengzhang Chen, Seung Woo Son, William Hendrix, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing. SC 2014: 733-744 - [i4]Bharath Pattabiraman, Md. Mostofa Ali Patwary, Assefaw Hadish Gebremedhin, Wei-keng Liao, Alok N. Choudhary:
Fast Algorithms for the Maximum Clique Problem on Massive Graphs with Applications to Overlapping Community Detection. CoRR abs/1411.7460 (2014) - 2013
- [c64]Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A probabilistic graphical model for brand reputation assessment in social networks. ASONAM 2013: 223-230 - [c63]Lu Liu, Jie Tang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Mining diabetes complication and treatment patterns for clinical decision support. CIKM 2013: 279-288 - [c62]Seung Woo Son, Saba Sehrish, Wei-keng Liao, Ron A. Oldfield, Alok N. Choudhary:
Dynamic file striping and data layout transformation on parallel system with fluctuating I/O workload. CLUSTER 2013: 1-8 - [c61]Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza F. Samatova, Alok N. Choudhary:
Forecast Oriented Classification of Spatio-Temporal Extreme Events. IJCAI 2013: 2952-2954 - [c60]Chen Jin, Qiang Fu, Huahua Wang, Ankit Agrawal, William Hendrix, Wei-keng Liao, Md. Mostofa Ali Patwary, Arindam Banerjee, Alok N. Choudhary:
Solving combinatorial optimization problems using relaxed linear programming: a high performance computing perspective. BigMine 2013: 39-46 - [c59]William Hendrix, Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A scalable algorithm for single-linkage hierarchical clustering on distributed-memory architectures. LDAV 2013: 7-13 - [c58]Saba Sehrish, Seung Woo Son, Wei-keng Liao, Alok N. Choudhary, Karen Schuchardt:
Improving collective I/O performance by pipelining request aggregation and file access. EuroMPI 2013: 37-42 - [c57]Md. Mostofa Ali Patwary, Diana Palsetia, Ankit Agrawal, Wei-keng Liao, Fredrik Manne, Alok N. Choudhary:
Scalable parallel OPTICS data clustering using graph algorithmic techniques. SC 2013: 49:1-49:12 - [c56]Bharath Pattabiraman, Md. Mostofa Ali Patwary, Assefaw Hadish Gebremedhin, Wei-keng Liao, Alok N. Choudhary:
Fast Algorithms for the Maximum Clique Problem on Massive Sparse Graphs. WAW 2013: 156-169 - 2012
- [j18]Yuhong Zhang, Sanchit Misra, Ankit Agrawal, Md. Mostofa Ali Patwary, Wei-keng Liao, Zhiguang Qin, Alok N. Choudhary:
Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU's power. BMC Bioinform. 13(S-5): S3 (2012) - [j17]Alok N. Choudhary, William Hendrix, Kathy Lee, Diana Palsetia, Wei-keng Liao:
Social media evolution of the Egyptian revolution. Commun. ACM 55(5): 74-80 (2012) - [j16]Arifa Nisar, Wei-keng Liao, Alok N. Choudhary:
Delegation-Based I/O Mechanism for High Performance Computing Systems. IEEE Trans. Parallel Distributed Syst. 23(2): 271-279 (2012) - [c55]Sriram Lakshminarasimhan, Prabhat Kumar, Wei-keng Liao, Alok N. Choudhary, Vipin Kumar, Nagiza F. Samatova:
On the path to sustainable, scalable, and energy-efficient data analytics: Challenges, promises, and future directions. IGCC 2012: 1-6 - [c54]William Hendrix, Md. Mostofa Ali Patwary, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel hierarchical clustering on shared memory platforms. HiPC 2012: 1-9 - [c53]Ankit Agrawal, Md. Mostofa Ali Patwary, William Hendrix, Wei-keng Liao, Alok N. Choudhary:
High Performance Big Data Clustering. High Performance Computing Workshop (1) 2012: 192-211 - [c52]Seong Jo Kim, Seung Woo Son, Wei-keng Liao, Mahmut T. Kandemir, Rajeev Thakur, Alok N. Choudhary:
IOPin: Runtime Profiling of Parallel I/O in HPC Systems. SC Companion 2012: 18-23 - [c51]Md. Mostofa Ali Patwary, Diana Palsetia, Ankit Agrawal, Wei-keng Liao, Fredrik Manne, Alok N. Choudhary:
A new scalable parallel DBSCAN algorithm using the disjoint-set data structure. SC 2012: 62 - [c50]Kunpeng Zhang, Yusheng Xie, Yu Cheng, Daniel Honbo, Doug Downey, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Sentiment identification by incorporating syntax, semantics and context information. SIGIR 2012: 1143-1144 - [i3]Bharath Pattabiraman, Md. Mostofa Ali Patwary, Assefaw Hadish Gebremedhin, Wei-keng Liao, Alok N. Choudhary:
Fast Algorithms for the Maximum Clique Problem on Massive Sparse Graphs. CoRR abs/1209.5818 (2012) - 2011
- [j15]Sanchit Misra, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing. Bioinform. 27(2): 189-195 (2011) - [j14]Wei-keng Liao:
Design and Evaluation of MPI File Domain Partitioning Methods under Extent-Based File Locking Protocol. IEEE Trans. Parallel Distributed Syst. 22(2): 260-272 (2011) - [c49]Kunpeng Zhang, Yu Cheng, Wei-keng Liao, Alok N. Choudhary:
Mining millions of reviews: a technique to rank products based on importance of reviews. ICEC 2011: 12:1-12:8 - [c48]Kui Gao, Chen Jin, Alok N. Choudhary, Wei-keng Liao:
Supporting computational data model representation with high-performance I/O in parallel netCDF. HiPC 2011: 1-10 - [c47]Yuhong Zhang, Sanchit Misra, Daniel Honbo, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Efficient pairwise statistical significance estimation for local sequence alignment using GPU. ICCABS 2011: 226-231 - [c46]