Alok N. Choudhary

ORCID

Publication Activity (10 Years)

Years Active: 1987-2023
Publications (10 Years): 82

Top Venues

Publications

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) (2023)
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)
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)
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) (2023)
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)
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)
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)
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)
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)
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 (2022)
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)
Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James Kowalkowski, Quincey Koziol, Robert Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis. CoRR (2022)
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)
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 (2022)
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 (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)
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 (2021)
Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
Supporting Data Compression in PnetCDF. IEEE BigData (2021)
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)
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)
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)
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) (2021)
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)
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)
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) (2020)
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) (2020)
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 (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)
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)
Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary
Survivability prediction of colon cancer patients using neural networks. Health Informatics J. 25 (3) (2019)
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)
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 (2019)
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)
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)
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)
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 (2019)
Ankit Agrawal, Abhinav Saboo, Wei Xiong, Gregory B. Olson, Alok N. Choudhary
Martensite Start Temperature Predictor for Steels Using Ensemble Data Mining. DSAA (2019)
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)
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)
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)
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)
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 (2019)
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 (2019)
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 (2019)
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) (2018)
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) (2018)
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 (2018)
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)
Dianwei Han, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation. IEEE BigData (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)
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)
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)
Reda Al-Bahrani, Margaret K. Danilovich, Wei-Keng Liao, Alok N. Choudhary, Ankit Agrawal
Analyzing Informal Caregiving Expression in Social Media. ICDM Workshops (2017)
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)
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) (2017)
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)
Kathy Lee, Ankit Agrawal, Alok N. Choudhary
Forecasting Influenza Levels Using Real-Time Social Media Streams. ICHI (2017)
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)
Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary
Distinguish Polarity in Bag-of-Words Visualization. AAAI (2017)
Kathy Lee, Sadid A. Hasan, Oladimeji Farri, Alok N. Choudhary, Ankit Agrawal
Medical Concept Normalization for Online User-Generated Texts. ICHI (2017)
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)
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 (2017)
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)
Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary
Legislative prediction with dual uncertainty minimization from heterogeneous information. Stat. Anal. Data Min. 10 (2) (2017)
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) (2017)
Ankit Agrawal, Alok N. Choudhary
A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor. CIKM (2016)
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)
Ankit Agrawal, Jason Scott Mathias, David Baker, Alok N. Choudhary
Identifying hotspots in five year survival electronic health records of older adults. ICCABS (2016)
Amar Krishna, Ankit Agrawal, Alok N. Choudhary
Predicting the Outcome of Startups: Less Failure, More Success. ICDM Workshops (2016)
Dianwei Han, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
A Novel Scalable DBSCAN Algorithm with Spark. IPDPS Workshops (2016)
Ankit Agrawal, Bryce Meredig, Chris Wolverton, Alok N. Choudhary
A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining. ICDM Workshops (2016)
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)
Ankit Agrawal, Jason Scott Mathias, David Baker, Alok N. Choudhary
Five Year Life Expectancy Calculator for Older Adults. ICDM Workshops (2016)
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) (2016)
Reda Al-Bahrani, Margaret K. Danilovich, Ankit Agrawal, Alok N. Choudhary
Towards Informal Caregiver Identification in Social Media. ICHI (2016)
Esteban Rangel, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, William Hendrix
AGORAS: A Fast Algorithm for Estimating Medoids in Large Datasets. ICCS (2016)
Esteban Rangel, Nan Li, Salman Habib, Tom Peterka, Ankit Agrawal, Wei-Keng Liao, Alok N. Choudhary
Parallel DTFE Surface Density Field Reconstruction. CLUSTER (2016)
Qiao Kang, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary
A Filtering-based Clustering Algorithm for Improving Spatio-temporal Kriging Interpolation Accuracy. CIKM (2016)
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)
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)
Siddharth Gupta, Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary
A New Parallel Algorithm for Two-Pass Connected Component Labeling. CoRR (2016)
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)
Yusheng Xie, Pranjal Daga, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary
Reducing infrequent-token perplexity via variational corpora. ACL (2) (2015)
Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary
Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information. SDM (2015)
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)
Chen Jin, Ruoqian Liu, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary
A Scalable Hierarchical Clustering Algorithm Using Spark. BigDataService (2015)
Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang
Fast Neural Networks with Circulant Projections. CoRR (2015)
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) (2015)
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) (2015)
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)
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)
Kathy Lee, Ankit Agrawal, Alok N. Choudhary
Mining Social Media Streams to Improve Public Health Allergy Surveillance. ASONAM (2015)
Chen Jin, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary
Incremental, distributed single-linkage hierarchical clustering algorithm using mapreduce. SpringSim (HPS) (2015)
Diana Palsetia, Md. Mostofa Ali Patwary, William Hendrix, Ankit Agrawal, Alok N. Choudhary
Clique guided community detection. IEEE BigData (2014)
Yusheng Xie, Diana Palsetia, Goce Trajcevski, Ankit Agrawal, Alok N. Choudhary
SILVERBACK: Scalable association mining for temporal data in columnar probabilistic databases. ICDE (2014)
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 (2014)
Yu Cheng, Quanfu Fan, Sharath Pankanti, Alok N. Choudhary
Temporal Sequence Modeling for Video Event Detection. CVPR (2014)
Yu Cheng, Alok N. Choudhary, Jun Wang, Sharath Pankanti, Huan Liu
Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data. ICDM Workshops (2014)
Yu Cheng, Ankit Agrawal, Alok N. Choudhary, Huan Liu, Tao Zhang
Social Role Identification via Dual Uncertainty Minimization Regularization. ICDM (2014)
Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary
Excavating social circles via user interests. Soc. Netw. Anal. Min. 4 (1) (2014)

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Publication Activity (10 Years)

Top Topics

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Alok N. Choudhary