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ORCIDAlok N. Choudhary
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- affiliation: Northwestern University, Evanston, IL, USA
- affiliation (former): Syracuse University, NY, USA
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2020 – today
- 2024
[c370]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- 2023
- [j129]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) - [j128]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) - [c369]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 - [c368]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 - [c367]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 - [c366]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 - [c365]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 - [c364]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
- [j127]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) - [j126]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) - [c363]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 - [c362]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 - [c361]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 - [c360]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 - [i17]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) - [i16]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
- [j125]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) - [c359]Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Supporting Data Compression in PnetCDF. IEEE BigData 2021: 86-97 - [c358]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 - [c357]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 - [c356]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 - [i15]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
- [j124]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) - [j123]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) - [c355]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 - [c354]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 - [c353]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 - [c352]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 - [i14]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
- [j122]Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary:
Survivability prediction of colon cancer patients using neural networks. Health Informatics J. 25(3) (2019) - [j121]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) - [c351]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 - [c350]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 - [c349]Ankit Agrawal, Abhinav Saboo, Wei Xiong, Gregory B. Olson, Alok N. Choudhary:
Martensite Start Temperature Predictor for Steels Using Ensemble Data Mining. DSAA 2019: 521-530 - [c348]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 - [c347]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 - [c346]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 - [c345]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 - [c344]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 - [c343]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 - [i13]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) - [i12]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) - [i11]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) - [i10]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
- [j120]Mark Asch, Terry Moore, Rosa M. Badia, Micah Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra, Anshu Dubey, Geoffrey C. Fox, H. Fu, Sergi Girona, William Gropp, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, G. Varoquaux, Jean-Pierre Vilotte, Robert W. Wisniewski, Z. Xu, Igor Zacharov:
Big data and extreme-scale computing. Int. J. High Perform. Comput. Appl. 32(4): 435-479 (2018) - [j119]Al'ona Furmanchuk, James E. Saal, Jeff W. Doak, Gregory B. Olson, Alok N. Choudhary, Ankit Agrawal:
Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach. J. Comput. Chem. 39(4): 191-202 (2018) - [c342]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 - [c341]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 - [c340]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 - [c339]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 - [c338]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 - [i9]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
- [j118]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) - [j117]Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Goce Trajcevski, Ankit Agrawal, Alok N. Choudhary:
SILVERBACK+: scalable association mining via fast list intersection for columnar social data. Knowl. Inf. Syst. 50(3): 969-997 (2017) - [j116]Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
Legislative prediction with dual uncertainty minimization from heterogeneous information. Stat. Anal. Data Min. 10(2): 107-120 (2017) - [j115]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) - [c337]Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary:
Distinguish Polarity in Bag-of-Words Visualization. AAAI 2017: 3344-3350 - [c336]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 - [c335]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 - [c334]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 - [c333]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 - [c332]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 - [c331]Kathy Lee, Ankit Agrawal, Alok N. Choudhary:
Forecasting Influenza Levels Using Real-Time Social Media Streams. ICHI 2017: 409-414 - [c330]Kathy Lee, Sadid A. Hasan, Oladimeji Farri, Alok N. Choudhary, Ankit Agrawal:
Medical Concept Normalization for Online User-Generated Texts. ICHI 2017: 462-469 - [i8]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
- [j114]Tiantian Zhu, Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary:
Beating the Artificial Chaos: Fighting OSN Spam Using Its Own Templates. IEEE/ACM Trans. Netw. 24(6): 3856-3869 (2016) - [c329]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 - [c328]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 - [c327]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 - [c326]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 - [c325]Ankit Agrawal, Alok N. Choudhary:
A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor. CIKM 2016: 2497-2500 - [c324]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 - [c323]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 - [c322]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 - [c321]Ankit Agrawal, Jason Scott Mathias, David Baker, Alok N. Choudhary:
Identifying hotspots in five year survival electronic health records of older adults. ICCABS 2016: 1-6 - [c320]Amar Krishna, Ankit Agrawal, Alok N. Choudhary:
Predicting the Outcome of Startups: Less Failure, More Success. ICDM Workshops 2016: 798-805 - [c319]Ankit Agrawal, Bryce Meredig, Chris Wolverton, Alok N. Choudhary:
A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining. ICDM Workshops 2016: 1276-1279 - [c318]Ankit Agrawal, Jason Scott Mathias, David Baker, Alok N. Choudhary:
Five Year Life Expectancy Calculator for Older Adults. ICDM Workshops 2016: 1280-1283 - [c317]Reda Al-Bahrani, Margaret K. Danilovich, Ankit Agrawal, Alok N. Choudhary:
Towards Informal Caregiver Identification in Social Media. ICHI 2016: 414 - [c316]Dianwei Han, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A Novel Scalable DBSCAN Algorithm with Spark. IPDPS Workshops 2016: 1393-1402 - [c315]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 - [i7]Siddharth Gupta, Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary:
A New Parallel Algorithm for Two-Pass Connected Component Labeling. CoRR abs/1606.05973 (2016) - 2015
- [j113]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) - [j112]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) - [c314]Yusheng Xie, Pranjal Daga, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary:
Reducing infrequent-token perplexity via variational corpora. ACL (2) 2015: 609-615 - [c313]Kathy Lee, Ankit Agrawal, Alok N. Choudhary:
Mining Social Media Streams to Improve Public Health Allergy Surveillance. ASONAM 2015: 815-822 - [c312]Chen Jin, Ruoqian Liu, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
A Scalable Hierarchical Clustering Algorithm Using Spark. BigDataService 2015: 418-426 - [c311]Chen Jin, Qiang Fu, Huahua Wang, William Hendrix, Zhengzhang Chen, Ankit Agrawal, Arindam Banerjee, Alok N. Choudhary:
Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective. CCGRID 2015: 565-575 - [c310]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 - [c309]Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang:
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections. ICCV 2015: 2857-2865 - [c308]Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information. SDM 2015: 361-369 - [c307]Chen Jin, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
Incremental, distributed single-linkage hierarchical clustering algorithm using mapreduce. SpringSim (HPS) 2015: 83-92 - [i6]Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang:
Fast Neural Networks with Circulant Projections. CoRR abs/1502.03436 (2015) - 2014
- [j111]Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Daniel Honbo, Ankit Agrawal, Alok N. Choudhary:
MuSES: Multilingual Sentiment Elicitation System for Social Media Data. IEEE Intell. Syst. 29(4): 34-42 (2014) - [j110]Kunpeng Zhang, Yusheng Xie, Yi Yang, Aaron Sun, Hengchang Liu, Alok N. Choudhary:
Incorporating conditional random fields and active learning to improve sentiment identification. Neural Networks 58: 60-67 (2014) - [j109]Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary:
Excavating social circles via user interests. Soc. Netw. Anal. Min. 4(1): 170 (2014) - [j108]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) - [c306]Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary:
Spam ain't as diverse as it seems: throttling OSN spam with templates underneath. ACSAC 2014: 76-85 - [c305]Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Ankit Agrawal, Alok N. Choudhary:
Indexing bipartite memberships in web graphs. ASONAM 2014: 166-173 - [c304]Diana Palsetia, Md. Mostofa Ali Patwary, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
Clique guided community detection. IEEE BigData 2014: 500-509 - [c303]Yu Cheng, Quanfu Fan, Sharath Pankanti, Alok N. Choudhary:
Temporal Sequence Modeling for Video Event Detection. CVPR 2014: 2235-2242 - [c302]Alok N. Choudhary, John C. S. Lui, Keith W. Ross:
Keynote speakers: Big data science and social networks - Accelerating insights and building value. ICCCN 2014: 1-3 - [c301]Yusheng Xie<