Conservative, Non-conservative and Average Pairwise Statistical Significance of Local Sequence Alignment. - Ankit Agrawal 001; Xiaoqiu Huang 001 (BIBM, 2008)

Pairwise statistical significance of local sequence alignment using multiple parameter sets. - Ankit Agrawal 001; Xiaoqiu Huang 001 (DTMBIO, 2008)

Pairwise DNA Alignment with Sequence Specific Transition-Transversion Ratio Using Multiple Parameter Sets. - Ankit Agrawal 001; Xiaoqiu Huang 001 (ICIT, 2008)

Pairwise Statistical Significance of Local Sequence Alignment Using Substitution Matrices with Sequence-Pair-Specific Distance. - Ankit Agrawal 001; Xiaoqiu Huang 001 (ICIT, 2008)

DNAlignTT: Pairwise DNA alignment with sequence specific transition-transversion ratio. - Ankit Agrawal 001; Xiaoqiu Huang 001 (EIT, 2008)

A new heuristic for multiple sequence alignment. - Ankit Agrawal 001; S. K. Khaitan (EIT, 2008)

An adaptive fuzzy thresholding algorithm for exon prediction. - Ankit Agrawal 001; Ankush Mittal; Rahul Jain 012; Raghav Takkar (EIT, 2008)

Pairwise Statistical Significance Versus Database Statistical Significance for Local Alignment of Protein Sequences. - Ankit Agrawal 001; Volker Brendel; Xiaoqiu Huang 001 (ISBRA, 2008)

Estimating Pairwise Statistical Significance of Protein Local Alignments Using a Clustering-Classification Approach Based on Amino Acid Composition. - Ankit Agrawal 001; Arka P. Ghosh; Xiaoqiu Huang 001 (ISBRA, 2008)

Pairwise statistical significance and empirical determination of effective gap opening penalties for protein local sequence alignment. - Ankit Agrawal 001; Volker Brendel; Xiaoqiu Huang 001 (Int. J. Comput. Biol. Drug Des., 2008)

PSIBLAST_PairwiseStatSig: reordering PSI-BLAST hits using pairwise statistical significance. - Ankit Agrawal 001; Xiaoqiu Huang 001 (Bioinform., 2009)

Pairwise statistical significance of local sequence alignment using multiple parameter sets and empirical justification of parameter set change penalty. - Ankit Agrawal 001; Xiaoqiu Huang 001 (BMC Bioinform., 2009)

Derived distribution points heuristic for fast pairwise statistical significance estimation. - Ankit Agrawal 001; Alok N. Choudhary; Xiaoqiu Huang 001 (BCB, 2010)

Non-Conservative Pairwise Statistical Significance of Local Sequence Alignment Using Position-Specific Substitution Matrices. - Ankit Agrawal 001; Alok N. Choudhary; Xiaoqiu Huang 001 (BIOCOMP, 2010)

Efficient Pairwise Statistical Significance Estimation using FPGAs. - Daniel Honbo; Ankit Agrawal 001; Alok N. Choudhary (BIOCOMP, 2010)

MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment. - Ankit Agrawal 001; Sanchit Misra; Daniel Honbo; Alok N. Choudhary (HPDC, 2010)

Fuzzy-adaptive-thresholding-based exon prediction. - Ankit Agrawal 001; Ankush Mittal; Rahul Jain 012; Raghav Takkar (Int. J. Comput. Biol. Drug Des., 2010)

Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery. - Ankit Agrawal 001; Sanchit Misra; Alok N. Choudhary; Karl Bilimoria (ICCABS, 2011)

Poster: A lung cancer mortality risk calculator based on SEER data. - Ankit Agrawal 001; Sanchit Misra; Ramanathan Narayanan; Lalith Polepeddi; Alok N. Choudhary (ICCABS, 2011)

Efficient pairwise statistical significance estimation for local sequence alignment using GPU. - Yuhong Zhang; Sanchit Misra; Daniel Honbo; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (ICCABS, 2011)

Identifying HotSpots in Lung Cancer Data Using Association Rule Mining. - Ankit Agrawal 001; Alok N. Choudhary (ICDM Workshops, 2011)

Learning to Group Web Text Incorporating Prior Information. - Yu Cheng 001; Kunpeng Zhang 001; Yusheng Xie; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (ICDM Workshops, 2011)

Community Dynamics and Analysis of Decadal Trends in Climate Data. - William Hendrix; Isaac K. Tetteh; Ankit Agrawal 001; Fredrick H. M. Semazzi; Wei-keng Liao; Alok N. Choudhary (ICDM Workshops, 2011)

Twitter Trending Topic Classification. - Kathy Lee; Diana Palsetia; Ramanathan Narayanan; Md. Mostofa Ali Patwary; Ankit Agrawal 001; Alok N. Choudhary (ICDM Workshops, 2011)

Poll: A Citation Text Based System for Identifying High-Impact Contributions of an Article. - Lalith Polepeddi; Ankit Agrawal 001; Alok N. Choudhary (ICDM Workshops, 2011)

SES: Sentiment Elicitation System for Social Media Data. - Kunpeng Zhang 001; Yu Cheng 001; Yusheng Xie; Daniel Honbo; Ankit Agrawal 001; Diana Palsetia; Kathy Lee; Wei-keng Liao; Alok N. Choudhary (ICDM Workshops, 2011)

Predicting Node Failure in High Performance Computing Systems from Failure and Usage Logs. - Nithin Nakka; Ankit Agrawal 001; Alok N. Choudhary (IPDPS Workshops, 2011)

A lung cancer outcome calculator using ensemble data mining on SEER data. - Ankit Agrawal 001; Sanchit Misra; Ramanathan Narayanan; Lalith Polepeddi; Alok N. Choudhary (BIOKDD, 2011)

Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing. - Sanchit Misra; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (Bioinform., 2011)

Parallel pairwise statistical significance estimation of local sequence alignment using Message Passing Interface library. - Ankit Agrawal 001; Sanchit Misra; Daniel Honbo; Alok N. Choudhary (Concurr. Comput. Pract. Exp., 2011)

Association Rule Mining Based HotSpot Analysis on SEER Lung Cancer Data. - Ankit Agrawal 001; Alok N. Choudhary (Int. J. Knowl. Discov. Bioinform., 2011)

Pairwise Statistical Significance of Local Sequence Alignment Using Sequence-Specific and Position-Specific Substitution Matrices. - Ankit Agrawal 001; Xiaoqiu Huang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

On active learning in hierarchical classification. - Yu Cheng 001; Kunpeng Zhang 001; Yusheng Xie; Ankit Agrawal 001; Alok N. Choudhary (CIKM, 2012)

Probabilistic macro behavioral targeting. - Yusheng Xie; Yu Cheng 001; Daniel Honbo; Kunpeng Zhang 001; Ankit Agrawal 001; Alok N. Choudhary; Yi Gao; Jiangtao Gou (DUBMMSM, 2012)

Parallel hierarchical clustering on shared memory platforms. - William Hendrix; Md. Mostofa Ali Patwary; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (HiPC, 2012)

High Performance Big Data Clustering. - Ankit Agrawal 001; Md. Mostofa Ali Patwary; William Hendrix; Wei-keng Liao; Alok N. Choudhary (High Performance Computing Workshop (1), 2012)

CluChunk: clustering large scale user-generated content incorporating chunklet information. - Yu Cheng 001; Yusheng Xie; Kunpeng Zhang 001; Ankit Agrawal 001; Alok N. Choudhary (BigMine, 2012)

VOXSUP: a social engagement framework. - Yusheng Xie; Daniel Honbo; Alok N. Choudhary; Kunpeng Zhang 001; Yu Cheng 001; Ankit Agrawal 001 (KDD, 2012)

A new scalable parallel DBSCAN algorithm using the disjoint-set data structure. - Md. Mostofa Ali Patwary; Diana Palsetia; Ankit Agrawal 001; Wei-keng Liao; Fredrik Manne; Alok N. Choudhary (SC, 2012)

Sentiment identification by incorporating syntax, semantics and context information. - Kunpeng Zhang 001; Yusheng Xie; Yu Cheng 001; Daniel Honbo; Doug Downey; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (SIGIR, 2012)

Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU's power. - Yuhong Zhang; Sanchit Misra; Ankit Agrawal 001; Md. Mostofa Ali Patwary; Wei-keng Liao; Zhiguang Qin; Alok N. Choudhary (BMC Bioinform., 2012)

Lung cancer survival prediction using ensemble data mining on SEER data. - Ankit Agrawal 001; Sanchit Misra; Ramanathan Narayanan; Lalith Polepeddi; Alok N. Choudhary (Sci. Program., 2012)

A probabilistic graphical model for brand reputation assessment in social networks. - Kunpeng Zhang 001; Doug Downey; Zhengzhang Chen; Yusheng Xie; Yu Cheng 001; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (ASONAM, 2013)

Lung transplant outcome prediction using UNOS data. - Ankit Agrawal 001; Reda Al-Bahrani; Mark J. Russo; Jaishankar Raman; Alok N. Choudhary (IEEE BigData, 2013)

Colon cancer survival prediction using ensemble data mining on SEER data. - Reda Al-Bahrani; Ankit Agrawal 001; Alok N. Choudhary (IEEE BigData, 2013)

Elver: Recommending Facebook pages in cold start situation without content features. - Yusheng Xie; Zhengzhang Chen; Kunpeng Zhang 001; Chen Jin; Yu Cheng 001; Ankit Agrawal 001; Alok N. Choudhary (IEEE BigData, 2013)

Feedback-driven multiclass active learning for data streams. - Yu Cheng 001; Zhengzhang Chen; Lu Liu 005; Jiang Wang; Ankit Agrawal 001; Alok N. Choudhary (CIKM, 2013)

Bootstrapping active name disambiguation with crowdsourcing. - Yu Cheng 001; Zhengzhang Chen; Jiang Wang; Ankit Agrawal 001; Alok N. Choudhary (CIKM, 2013)

Mining diabetes complication and treatment patterns for clinical decision support. - Lu Liu 005; Jie Tang 001; Yu Cheng 001; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (CIKM, 2013)

Random walk-based graphical sampling in unbalanced heterogeneous bipartite social graphs. - Yusheng Xie; Zhengzhang Chen; Ankit Agrawal 001; Alok N. Choudhary; Lu Liu 005 (CIKM, 2013)

Forecast Oriented Classification of Spatio-Temporal Extreme Events. - Zhengzhang Chen; Yusheng Xie; Yu Cheng 001; Kunpeng Zhang 001; Ankit Agrawal 001; Wei-keng Liao; Nagiza F. Samatova; Alok N. Choudhary (IJCAI, 2013)

JobMiner: a real-time system for mining job-related patterns from social media. - Yu Cheng 001; Yusheng Xie; Zhengzhang Chen; Ankit Agrawal 001; Alok N. Choudhary; Songtao Guo (KDD, 2013)

Solving combinatorial optimization problems using relaxed linear programming: a high performance computing perspective. - Chen Jin; Qiang Fu 021; Huahua Wang; Ankit Agrawal 001; William Hendrix; Wei-keng Liao; Md. Mostofa Ali Patwary; Arindam Banerjee 001; Alok N. Choudhary (BigMine, 2013)

Real-time disease surveillance using Twitter data: demonstration on flu and cancer. - Kathy Lee; Ankit Agrawal 001; Alok N. Choudhary (KDD, 2013)

A scalable algorithm for single-linkage hierarchical clustering on distributed-memory architectures. - William Hendrix; Diana Palsetia; Md. Mostofa Ali Patwary; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (LDAV, 2013)

Scalable parallel OPTICS data clustering using graph algorithmic techniques. - Md. Mostofa Ali Patwary; Diana Palsetia; Ankit Agrawal 001; Wei-keng Liao; Fredrik Manne; Alok N. Choudhary (SC, 2013)

Graphical Modeling of Macro Behavioral Targeting in Social Networks. - Ankit Agrawal 001; Zhengzhang Chen; Yu Cheng 001; Alok N. Choudhary; Haotian Liu; Md. Mostofa Ali Patwary; Yusheng Xie; Kunpeng Zhang 001 (SDM, 2013)

Indexing bipartite memberships in web graphs. - Yusheng Xie; Zhengzhang Chen; Diana Palsetia; Ankit Agrawal 001; Alok N. Choudhary (ASONAM, 2014)

Clique guided community detection. - Diana Palsetia; Md. Mostofa Ali Patwary; William Hendrix; Ankit Agrawal 001; Alok N. Choudhary (IEEE BigData, 2014)

SILVERBACK: Scalable association mining for temporal data in columnar probabilistic databases. - Yusheng Xie; Diana Palsetia; Goce Trajcevski; Ankit Agrawal 001; Alok N. Choudhary (ICDE, 2014)

Social Role Identification via Dual Uncertainty Minimization Regularization. - Yu Cheng 001; Ankit Agrawal 001; Alok N. Choudhary; Huan Liu 001; Tao Zhang 006 (ICDM, 2014)

Estimating Online User Location Distribution without GPS Location. - Yusheng Xie; Yu Cheng 001; Ankit Agrawal 001; Alok N. Choudhary (ICDM Workshops, 2014)

A New Parallel Algorithm for Two-Pass Connected Component Labeling. - Siddharth Gupta 002; Diana Palsetia; Md. Mostofa Ali Patwary; Ankit Agrawal 001; Alok N. Choudhary (IPDPS Workshops, 2014)

Enhancing Financial Decision-Making Using Social Behavior Modeling. - Ruoqian Liu; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (SNAKDD, 2014)

NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing. - Zhengzhang Chen; Seung Woo Son 001; William Hendrix; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (SC, 2014)

MuSES: Multilingual Sentiment Elicitation System for Social Media Data. - Yusheng Xie; Zhengzhang Chen; Kunpeng Zhang 001; Yu Cheng 001; Daniel Honbo; Ankit Agrawal 001; Alok N. Choudhary (IEEE Intell. Syst., 2014)

Excavating social circles via user interests. - Diana Palsetia; Md. Mostofa Ali Patwary; Ankit Agrawal 001; Alok N. Choudhary (Soc. Netw. Anal. Min., 2014)

Data Compression for the Exascale Computing Era - Survey. - Seung Woo Son 001; Zhengzhang Chen; William Hendrix; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (Supercomput. Front. Innov., 2014)

Reducing infrequent-token perplexity via variational corpora. - Yusheng Xie; Pranjal Daga; Yu Cheng 001; Kunpeng Zhang 001; Ankit Agrawal 001; Alok N. Choudhary (ACL (2), 2015)

Mining Social Media Streams to Improve Public Health Allergy Surveillance. - Kathy Lee; Ankit Agrawal 001; Alok N. Choudhary (ASONAM, 2015)

A Scalable Hierarchical Clustering Algorithm Using Spark. - Chen Jin; Ruoqian Liu; Zhengzhang Chen; William Hendrix; Ankit Agrawal 001; Alok N. Choudhary (BigDataService, 2015)

Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective. - Chen Jin; Qiang Fu 021; Huahua Wang; William Hendrix; Zhengzhang Chen; Ankit Agrawal 001; Arindam Banerjee 001; Alok N. Choudhary (CCGRID, 2015)

Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization. - Ruoqian Liu; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary; Zhengzhang Chen (IC3, 2015)

All your Google and Facebook logins are belong to us: A case for single sign-off. - Vaibhav Rastogi; Ankit Agrawal 001 (IC3, 2015)

Incremental, distributed single-linkage hierarchical clustering algorithm using mapreduce. - Chen Jin; Zhengzhang Chen; William Hendrix; Ankit Agrawal 001; Alok N. Choudhary (SpringSim (HPS), 2015)

Qualitative Decision Methods for Multi-Attribute Decision Making. - Ankit Agrawal 001 (CoRR, 2015)

Evaluation of K-means data clustering algorithm on Intel Xeon Phi. - Sunwoo Lee 001; Wei-keng Liao; Ankit Agrawal 001; Nikos Hardavellas; Alok N. Choudhary (IEEE BigData, 2016)

Materials discovery: Understanding polycrystals from large-scale electron patterns. - Ruoqian Liu; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary; Marc De Graef (IEEE BigData, 2016)

PinterNet: A thematic label curation tool for large image datasets. - Ruoqian Liu; Diana Palsetia; Arindam Paul; Reda Al-Bahrani; Dipendra Jha; Wei-keng Liao; Ankit Agrawal 001; Alok N. Choudhary (IEEE BigData, 2016)

A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor. - Ankit Agrawal 001; Alok N. Choudhary (CIKM, 2016)

A Filtering-based Clustering Algorithm for Improving Spatio-temporal Kriging Interpolation Accuracy. - Qiao Kang; Wei-keng Liao; Ankit Agrawal 001; Alok N. Choudhary (CIKM, 2016)

Parallel DTFE Surface Density Field Reconstruction. - Esteban Rangel; Nan Li 022; Salman Habib 002; Tom Peterka; Ankit Agrawal 001; Wei-Keng Liao; Alok N. Choudhary (CLUSTER, 2016)

Parallel Implementation of Lossy Data Compression for Temporal Data Sets. - Zheng Yuan; William Hendrix; Seung Woo Son 001; Christoph Federrath; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (HiPC, 2016)

AGORAS: A Fast Algorithm for Estimating Medoids in Large Datasets. - Esteban Rangel; Wei-keng Liao; Ankit Agrawal 001; Alok N. Choudhary; William Hendrix (ICCS, 2016)

Identifying hotspots in five year survival electronic health records of older adults. - Ankit Agrawal 001; Jason Scott Mathias; David Baker 003; Alok N. Choudhary (ICCABS, 2016)

Five Year Life Expectancy Calculator for Older Adults. - Ankit Agrawal 001; Jason Scott Mathias; David Baker 003; Alok N. Choudhary (ICDM Workshops, 2016)

A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining. - Ankit Agrawal 001; Bryce Meredig; Chris Wolverton; Alok N. Choudhary (ICDM Workshops, 2016)

Predicting the Outcome of Startups: Less Failure, More Success. - Amar Krishna; Ankit Agrawal 001; Alok N. Choudhary (ICDM Workshops, 2016)

Towards Informal Caregiver Identification in Social Media. - Reda Al-Bahrani; Margaret K. Danilovich; Ankit Agrawal 001; Alok N. Choudhary (ICHI, 2016)

A Novel Scalable DBSCAN Algorithm with Spark. - Dianwei Han; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (IPDPS Workshops, 2016)

Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication. - Diana Palsetia; William Hendrix; Sunwoo Lee 001; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (ISC, 2016)

Distinguish Polarity in Bag-of-Words Visualization. - Yusheng Xie; Zhengzhang Chen; Ankit Agrawal 001; Alok N. Choudhary (AAAI, 2017)

Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication. - Sunwoo Lee 001; Dipendra Jha; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (HiPC, 2017)

Building Halo Merger Trees from the Q Continuum Simulation. - Esteban Rangel; Nicholas Frontiere; Salman Habib 002; Katrin Heitmann; Wei-keng Liao; Ankit Agrawal 001; Alok N. Choudhary (HiPC, 2017)

Analyzing Informal Caregiving Expression in Social Media. - Reda Al-Bahrani; Margaret K. Danilovich; Wei-Keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (ICDM Workshops, 2017)

A Hybrid Training Algorithm for Recurrent Neural Network Using Particle Swarm Optimization-Based Preprocessing and Temporal Error Aggregation. - Qiao Kang; Wei-Keng Liao; Ankit Agrawal 001; Alok N. Choudhary (ICDM Workshops, 2017)

Towards Identifying Informal Caregivers of Alzheimer's and Dementia Patients in Social Media. - Reda Al-Bahrani; Margaret K. Danilovich; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (ICHI, 2017)

Forecasting Influenza Levels Using Real-Time Social Media Streams. - Kathy Lee; Ankit Agrawal 001; Alok N. Choudhary (ICHI, 2017)

Medical Concept Normalization for Online User-Generated Texts. - Kathy Lee; Sadid A. Hasan; Oladimeji Farri; Alok N. Choudhary; Ankit Agrawal 001 (ICHI, 2017)

SILVERBACK+: scalable association mining via fast list intersection for columnar social data. - Yusheng Xie; Zhengzhang Chen; Diana Palsetia; Goce Trajcevski; Ankit Agrawal 001; Alok N. Choudhary (Knowl. Inf. Syst., 2017)

Legislative prediction with dual uncertainty minimization from heterogeneous information. - Yu Cheng 001; Ankit Agrawal 001; Huan Liu 001; Alok N. Choudhary (Stat. Anal. Data Min., 2017)

Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation. - Dianwei Han; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (IEEE BigData, 2018)

Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. - Rajkumar Kettimuthu; Zhengchun Liu; Ian T. Foster; Peter H. Beckman; Alex Sim; Kesheng Wu; Wei-keng Liao; Qiao Kang; Ankit Agrawal 001; Alok N. Choudhary (AI-Science@HPDC, 2018)

Full-Duplex Inter-Group All-to-All Broadcast Algorithms with Optimal Bandwidth. - Qiao Kang; Jesper Larsson Träff; Reda Al-Bahrani; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (EuroMPI, 2018)

Integration of Burst Buffer in High-level Parallel I/O Library for Exa-scale Computing Era. - Kaiyuan Hou; Reda Al-Bahrani; Esteban Rangel; Ankit Agrawal 001; Robert Latham; Robert B. Ross; Alok N. Choudhary; Wei-keng Liao (PDSW-DISCS@SC, 2018)

CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations. - Arindam Paul; Dipendra Jha; Reda Al-Bahrani; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (CoRR, 2018)

Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach. - Al'ona Furmanchuk; James E. Saal; Jeff W. Doak; Gregory B. Olson; Alok N. Choudhary; Ankit Agrawal 001 (J. Comput. Chem., 2018)

Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. - Qiao Kang; Ankit Agrawal 001; Alok N. Choudhary; Alex Sim; Kesheng Wu; Rajkumar Kettimuthu; Peter H. Beckman; Zhengchun Liu; Wei-keng Liao (IEEE BigData, 2019)

Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time. - Sunwoo Lee 001; Qiao Kang; Sandeep Madireddy; Prasanna Balaprakash; Ankit Agrawal 001; Alok N. Choudhary; Richard Archibald; Wei-keng Liao (IEEE BigData, 2019)

Martensite Start Temperature Predictor for Steels Using Ensemble Data Mining. - Ankit Agrawal 001; Abhinav Saboo; Wei Xiong; Gregory B. Olson; Alok N. Choudhary (DSAA, 2019)

A Real-Time Iterative Machine Learning Approach for Temperature Profile Prediction in Additive Manufacturing Processes. - Arindam Paul; Mojtaba Mozaffar; Zijiang Yang 008; Wei-keng Liao; Alok N. Choudhary; Jian Cao; Ankit Agrawal 001 (DSAA, 2019)

Data-Driven Insights from Predictive Analytics on Heterogeneous Experimental Data of Industrial Magnetic Materials. - Zijiang Yang 008; Tetsushi Watari; Daisuke Ichigozaki; Kei Morohoshi; Yoshinori Suga; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (ICDM Workshops, 2019)

Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns. - Dipendra Jha; Aaron Gilad Kusne; Reda Al-Bahrani; Nam Nguyen; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (IJCNN, 2019)

Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening. - Arindam Paul; Dipendra Jha; Reda Al-Bahrani; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (IJCNN, 2019)

Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics. - Zijiang Yang 008; Reda Al-Bahrani; Andrew C. E. Reid; Stefanos Papanikolaou; Surya R. Kalidindi; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (IJCNN, 2019)

IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. - Dipendra Jha; Logan T. Ward; Zijiang Yang 008; Christopher Wolverton; Ian T. Foster; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (KDD, 2019)

Improving MPI Collective I/O Performance With Intra-node Request Aggregation. - Qiao Kang; Sunwoo Lee 001; Kaiyuan Hou; Robert B. Ross; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (CoRR, 2019)

Survivability prediction of colon cancer patients using neural networks. - Reda Al-Bahrani; Ankit Agrawal 001; Alok N. Choudhary (Health Informatics J., 2019)

Scalable Algorithms for MPI Intergroup Allgather and Allgatherv. - Qiao Kang; Jesper Larsson Träff; Reda Al-Bahrani; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (Parallel Comput., 2019)

Communication-Efficient Local Stochastic Gradient Descent for Scalable Deep Learning. - Sunwoo Lee 001; Qiao Kang; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (IEEE BigData, 2020)

Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow. - Qiao Kang; Alex Sim; Peter Nugent; Sunwoo Lee 001; Wei-keng Liao; Ankit Agrawal 001; Alok N. Choudhary; Kesheng Wu (CCGRID, 2020)

Heterogeneous Feature Fusion Based Machine Learning on Shallow-Wide and Heterogeneous-Sparse Industrial Datasets. - Zijiang Yang 008; Tetsushi Watari; Daisuke Ichigozaki; Akita Mitsutoshi; Hiroaki Takahashi; Yoshinori Suga; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (ICPR Workshops (4), 2020)

Improving all-to-many personalized communication in two-phase I/O. - Qiao Kang; Robert B. Ross; Robert Latham; Sunwoo Lee 001; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (SC, 2020)

Improving MPI Collective I/O for High Volume Non-Contiguous Requests With Intra-Node Aggregation. - Qiao Kang; Sunwoo Lee 001; Kaiyuan Hou; Robert B. Ross; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (IEEE Trans. Parallel Distributed Syst., 2020)

Supporting Data Compression in PnetCDF. - Kaiyuan Hou; Qiao Kang; Sunwoo Lee 001; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (IEEE BigData, 2021)

Asynchronous I/O Strategy for Large-Scale Deep Learning Applications. - Sunwoo Lee 001; Qiao Kang; Kewei Wang 002; Jan Balewski; Alex Sim; Ankit Agrawal 001; Alok N. Choudhary; Peter Nugent; Kesheng Wu; Wei-keng Liao (HiPC, 2021)

SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network. - Reda Al-Bahrani; Dipendra Jha; Qiao Kang; Sunwoo Lee 001; Zijiang Yang 008; Wei-Keng Liao; Ankit Agrawal 001; Alok N. Choudhary (ICPRAM, 2021)

Enhancing Phase Mapping for High-throughput X-ray Diffraction Experiments using Fuzzy Clustering. - 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 001 (ICPRAM, 2021)

A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design. - Zijiang Yang 008; Dipendra Jha; Arindam Paul; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (CoRR, 2021)

Harnessing Psycho-lingual and Crowd-Sourced Dictionaries for Predicting Taboos in Written Emotional Disclosure in Anonymous Confession Boards. - Arindam Paul; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (J. Heal. Informatics Res., 2021)

Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. - Kewei Wang 002; Sunwoo Lee 001; Jan Balewski; Alex Sim; Peter Nugent; Ankit Agrawal 001; Alok N. Choudhary; Kesheng Wu; Wei-Keng Liao (CCGRID, 2022)

Which Deep Learning Framework Should I Use: A Comparative Study For Deep Regression Modeling. - Vishu Gupta; Wei-Keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (CSCI, 2022)

To Shuffle or Not To Shuffle: Mini-Batch Shuffling Strategies for Multi-class Imbalanced Classification. - Yuwei Mao; Vishu Gupta; Kewei Wang 002; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (CSCI, 2022)

Machine Learning for Materials Science (MLMS). - Avadhut Sardeshmukh; Sreedhar Reddy; Gautham B. P.; Ankit Agrawal 001 (KDD, 2022)

BRNet: Branched Residual Network for Fast and Accurate Predictive Modeling of Materials Properties. - Vishu Gupta; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (SDM, 2022)

A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis. - Sunwoo Lee 001; Kaiyuan Hou; Kewei Wang 002; Saba Sehrish; Marc F. Paterno; James Kowalkowski; Quincey Koziol; Robert B. Ross; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (CoRR, 2022)

An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations. - 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 001 (CoRR, 2022)

Improving scalability of parallel CNN training by adaptively adjusting parameter update frequency. - Sunwoo Lee 001; Qiao Kang; Reda Al-Bahrani; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (J. Parallel Distributed Comput., 2022)

A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. - Sunwoo Lee 001; Kaiyuan Hou; Kewei Wang 002; Saba Sehrish; Marc F. Paterno; James B. Kowalkowski; Quincey Koziol; Robert B. Ross; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (Parallel Comput., 2022)

A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. - Claire Songhyun Lee; V. Hewes; Giuseppe Cerati; Jim Kowalkowski; Adam Aurisano; Ankit Agrawal 001; Alok N. Choudhary; Wei-Keng Liao (CCGrid, 2023)

Physics-based Data-Augmented Deep Learning for Enhanced Autogenous Shrinkage Prediction on Experimental Dataset. - Vishu Gupta; Yuhui Lyu; Derick Suarez; Yuwei Mao; Wei-Keng Liao; Alok N. Choudhary; Wing Kam Liu; Gianluca Cusatis; Ankit Agrawal 001 (IC3, 2023)

A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction. - Yuwei Mao; Mahmudul Hasan 016; Claire Songhyun Lee; Muhammed Nur Talha Kilic; Vishu Gupta; Wei-Keng Liao; Alok N. Choudhary; Pinar Acar; Ankit Agrawal 001 (ICMLA, 2023)

Pre-Activation based Representation Learning to Enhance Predictive Analytics on Small Materials Data. - Vishu Gupta; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (IJCNN, 2023)

AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations. - Yuwei Mao; Shahriyar Keshavarz; Vishu Gupta; Andrew C. E. Reid; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (IJCNN, 2023)

I/O in WRF: A Case Study in Modern Parallel I/O Techniques. - Zanhua Huang; Kaiyuan Hou; Ankit Agrawal 001; Alok N. Choudhary; Robert B. Ross; Wei-Keng Liao (SC, 2023)

A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures. - 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; et al. (J. Intell. Manuf., 2023)

MPpredictor: An Artificial Intelligence-Driven Web Tool for Composition-Based Material Property Prediction. - Vishu Gupta; Kamal Choudhary; Yuwei Mao; Kewei Wang 002; Francesca Tavazza; Carelyn Campbell; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (J. Chem. Inf. Model., 2023)

Automated Nanoparticle Image Processing Pipeline for AI-Driven Materials Characterization. - Alexandra L. Day; Carolin B. Wahl; Roberto dos Reis; Wei-keng Liao; Vinayak P. Dravid; Alok N. Choudhary; Ankit Agrawal 001 (CIKM, 2024)

Combining Transfer Learning and Representation Learning to Improve Predictive Analytics on Small Materials Data. - Vishu Gupta; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (ICMLA, 2024)

Enhancing Deep Neural Network Classification Performance Through Novel Weight Initialization: t-SNE Supported Walsh Matrix Approach. - Muhammed Nur Talha Kilic; Vishu Gupta; Yuwei Mao; Kewei Wang 002; Alec Peltekian; Alok N. Choudhary; Wei-keng Liao; Ankit Agrawal 001 (ICMLA, 2024)

Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder. - Muhammed Nur Talha Kilic; Yuwei Mao; Vishu Gupta; Alok N. Choudhary; Wei-keng Liao; Ankit Agrawal 001 (ICMLA, 2024)

Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing. - Kewei Wang 002; Yuwei Mao; Mahmudul Hasan 016; Md Maruf Billah; Muhammed Nur Talha Kilic; Vishu Gupta; Wei-Keng Liao; Alok N. Choudhary; Pinar Acar; Ankit Agrawal 001 (ICMLA, 2024)

Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks. - Vishu Gupta; Youjia Li; Alec Peltekian; Muhammed Nur Talha Kilic; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (J. Cheminformatics, 2024)

Towards Space Group Determination from EBSD Patterns: The Role of Deep Learning and High-throughput Dynamical Simulations. - Alfred Yan; Muhammed Nur Talha Kilic; Gert Nolze; Ankit Agrawal 001; Alok N. Choudhary; Roberto dos Reis; Vinayak P. Dravid (CoRR, 2025)

Parallel Data Object Creation: Towards Scalable Metadata Management in High-Performance I/O Library. - Youjia Li; Robert Latham; Robert B. Ross; Ankit Agrawal 001; Alok N. Choudhary; Wei-Keng Liao (CoRR, 2025)