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ORCIDAnkit Agrawal 0001
Person information
- affiliation: Northwestern University, Evanston, IL, USA
- affiliation (PhD 2009): Iowa State University, Ames, IA, USA
Other persons with the same name
- Ankit Agrawal 0002
![[0000-0003-1467-1596]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1467-1596")
— Saint Louis University, Department of Computer Science, MO, USA (and 1 more) - Ankit Agrawal 0003 — Birla Institute of Technology and Science, Department of Computer Science and Information System, Pilani Campus, India
- Ankit Agrawal 0004 — IBM India Research Laboratory, Bangalore, India
- Ankit Agrawal 0005 — Kaiserslautern University of Technology, Germany
- Ankit Agrawal 0006 — National Institute of Technology Raipur, Department of Computer Science and Engineering, India
- Ankit Agrawal 0007 — Jaypee Institute of Information Technology, Noida, India
- Ankit Agrawal 0008 — GLA University, Department of CEA, Mathura, India
- Ankit Agrawal 0009 — Amity University Noida, Department of Information Technology ASET, India
- Ankit Agrawal 0010 — MIT Academy of Engineering, Pune, India
- Ankit Agrawal 0011 — Indian Institute of Technology, Bombay, India
- Ankit Agrawal 0012 — Saarland University, Saarbrücken, Germany
- Ankit Agrawal 0013 — Microsoft
- Ankit Agrawal 0014 — Manipal Institute of Technology, Manipal Academy of Higher Education, Department of Information and Communication Technology, India
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2020 – today
- 2024
[c119]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
- [j24]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) - [j23]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) - [c118]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 - [c117]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 - [c116]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 - [c115]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 - [c114]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 - [c113]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
- [j22]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) - [j21]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) - [c112]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 - [c111]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 - [c110]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 - [c109]Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Ankit Agrawal:
Machine Learning for Materials Science (MLMS). KDD 2022: 4902-4903 - [c108]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 - [i12]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) - [i11]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
- [j20]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) - [c107]Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Supporting Data Compression in PnetCDF. IEEE BigData 2021: 86-97 - [c106]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 - [c105]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 - [c104]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 - [i10]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
- [j19]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) - [c103]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 - [c102]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 - [c101]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 - [c100]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 - [i9]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
- [j18]Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary:
Survivability prediction of colon cancer patients using neural networks. Health Informatics J. 25(3) (2019) - [j17]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) - [c99]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 - [c98]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 - [c97]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 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]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 - [c91]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 - [i8]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) - [i7]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) - [i6]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) - [i5]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
- [j16]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) - [c90]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 - [c89]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 - [c88]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 - [c87]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 - [i4]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
- [j15]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) - [j14]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) - [c86]Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary:
Distinguish Polarity in Bag-of-Words Visualization. AAAI 2017: 3344-3350 - [c85]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 - [c84]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 - [c83]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 - [c82]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 - [c81]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 - [c80]Kathy Lee, Ankit Agrawal, Alok N. Choudhary:
Forecasting Influenza Levels Using Real-Time Social Media Streams. ICHI 2017: 409-414 - [c79]Kathy Lee, Sadid A. Hasan, Oladimeji Farri, Alok N. Choudhary, Ankit Agrawal:
Medical Concept Normalization for Online User-Generated Texts. ICHI 2017: 462-469 - [i3]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
- [c78]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 - [c77]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 - [c76]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 - [c75]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 - [c74]Ankit Agrawal, Alok N. Choudhary:
A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor. CIKM 2016: 2497-2500 - [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]Amar Krishna, Ankit Agrawal, Alok N. Choudhary:
Predicting the Outcome of Startups: Less Failure, More Success. ICDM Workshops 2016: 798-805 - [c68]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 - [c67]Ankit Agrawal, Jason Scott Mathias, David Baker, Alok N. Choudhary:
Five Year Life Expectancy Calculator for Older Adults. ICDM Workshops 2016: 1280-1283 - [c66]Reda Al-Bahrani, Margaret K. Danilovich, Ankit Agrawal, Alok N. Choudhary:
Towards Informal Caregiver Identification in Social Media. ICHI 2016: 414 - [c65]Dianwei Han, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A Novel Scalable DBSCAN Algorithm with Spark. IPDPS Workshops 2016: 1393-1402 - [c64]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 - [i2]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
- [c63]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 - [c62]Kathy Lee, Ankit Agrawal, Alok N. Choudhary:
Mining Social Media Streams to Improve Public Health Allergy Surveillance. ASONAM 2015: 815-822 - [c61]Chen Jin, Ruoqian Liu, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
A Scalable Hierarchical Clustering Algorithm Using Spark. BigDataService 2015: 418-426 - [c60]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 - [c59]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 - [c58]Vaibhav Rastogi, Ankit Agrawal:
All your Google and Facebook logins are belong to us: A case for single sign-off. IC3 2015: 416-421 - [c57]Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information. SDM 2015: 361-369 - [c56]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 - [i1]Ankit Agrawal:
Qualitative Decision Methods for Multi-Attribute Decision Making. CoRR abs/1508.00879 (2015) - 2014
- [j13]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) - [j12]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) - [j11]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) - [c55]Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Ankit Agrawal, Alok N. Choudhary:
Indexing bipartite memberships in web graphs. ASONAM 2014: 166-173 - [c54]Diana Palsetia, Md. Mostofa Ali Patwary, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
Clique guided community detection. IEEE BigData 2014: 500-509 - [c53]Yusheng Xie, Diana Palsetia, Goce Trajcevski, Ankit Agrawal, Alok N. Choudhary:
SILVERBACK: Scalable association mining for temporal data in columnar probabilistic databases. ICDE 2014: 1072-1083 - [c52]Yu Cheng, Ankit Agrawal, Alok N. Choudhary, Huan Liu, Tao Zhang:
Social Role Identification via Dual Uncertainty Minimization Regularization. ICDM 2014: 767-772 - [c51]Yusheng Xie, Yu Cheng, Ankit Agrawal, Alok N. Choudhary:
Estimating Online User Location Distribution without GPS Location. ICDM Workshops 2014: 936-943 - [c50]Siddharth Gupta, Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary:
A New Parallel Algorithm for Two-Pass Connected Component Labeling. IPDPS Workshops 2014: 1355-1362 - [c49]Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Enhancing Financial Decision-Making Using Social Behavior Modeling. SNAKDD 2014: 13:1-13:5 - [c48]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 - 2013
- [c47]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 - [c46]Ankit Agrawal, Reda Al-Bahrani, Mark J. Russo, Jaishankar Raman, Alok N. Choudhary:
Lung transplant outcome prediction using UNOS data. IEEE BigData 2013: 1-8 - [c45]Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary:
Colon cancer survival prediction using ensemble data mining on SEER data. IEEE BigData 2013: 9-16 - [c44]Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Chen Jin, Yu Cheng, Ankit Agrawal, Alok N. Choudhary:
Elver: Recommending Facebook pages in cold start situation without content features. IEEE BigData 2013: 475-479 - [c43]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 - [c42]Yu Cheng, Zhengzhang Chen, Jiang Wang, Ankit Agrawal, Alok N. Choudhary:
Bootstrapping active name disambiguation with crowdsourcing. CIKM 2013: 1213-1216 - [c41]Yu Cheng, Zhengzhang Chen, Lu Liu, Jiang Wang, Ankit Agrawal, Alok N. Choudhary:
Feedback-driven multiclass active learning for data streams. CIKM 2013: 1311-1320 - [c40]Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Lu Liu:
Random walk-based graphical sampling in unbalanced heterogeneous bipartite social graphs. CIKM 2013: 1473-1476 - [c39]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 - [c38]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 - [c37]Yu Cheng, Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Songtao Guo:
JobMiner: a real-time system for mining job-related patterns from social media. KDD 2013: 1450-1453 - [c36]Kathy Lee, Ankit Agrawal, Alok N. Choudhary:
Real-time disease surveillance using Twitter data: demonstration on flu and cancer. KDD 2013: 1474-1477 - [c35]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 - [c34]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 - [c33]Ankit Agrawal, Zhengzhang Chen, Yu Cheng, Alok N. Choudhary, Haotian Liu, Md. Mostofa Ali Patwary, Yusheng Xie, Kunpeng Zhang:
Graphical Modeling of Macro Behavioral Targeting in Social Networks. SDM 2013: 740-748 - 2012
- [j10]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) - [j9]Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary:
Lung cancer survival prediction using ensemble data mining on SEER data. Sci. Program. 20(1): 29-42 (2012) - [c32]Yusheng Xie, Yu Cheng, Daniel Honbo, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary, Yi Gao, Jiangtao Gou:
Probabilistic macro behavioral targeting. DUBMMSM 2012: 7-10 - [c31]Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Alok N. Choudhary:
On active learning in hierarchical classification. CIKM 2012: 2467-2470 - [c30]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 - [c29]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 - [c28]Yu Cheng, Yusheng Xie, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary:
CluChunk: clustering large scale user-generated content incorporating chunklet information. BigMine 2012: 12-19 - [c27]Yusheng Xie, Daniel Honbo, Alok N. Choudhary, Kunpeng Zhang, Yu Cheng, Ankit Agrawal:
VOXSUP: a social engagement framework. KDD 2012: 1556-1559 - [c26]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 - [c25]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 - 2011
- [j8]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) - [j7]Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N. Choudhary:
Parallel pairwise statistical significance estimation of local sequence alignment using Message Passing Interface library. Concurr. Comput. Pract. Exp. 23(17): 2269-2279 (2011) - [j6]Ankit Agrawal, Alok N. Choudhary:
Association Rule Mining Based HotSpot Analysis on SEER Lung Cancer Data. Int. J. Knowl. Discov. Bioinform. 2(2): 34-54 (2011) - [j5]Ankit Agrawal, Xiaoqiu Huang:
Pairwise Statistical Significance of Local Sequence Alignment Using Sequence-Specific and Position-Specific Substitution Matrices. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 194-205 (2011) - [c24]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 - [c23]Ankit Agrawal, Sanchit Misra, Alok N. Choudhary, Karl Bilimoria:
Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery. ICCABS 2011: 232 - [c22]Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary:
Poster: A lung cancer mortality risk calculator based on SEER data. ICCABS 2011: 233 - [c21]William Hendrix, Isaac K. Tetteh, Ankit Agrawal, Fredrick H. M. Semazzi, Wei-keng Liao, Alok N. Choudhary:
Community Dynamics and Analysis of Decadal Trends in Climate Data. ICDM Workshops 2011: 9-14 - [c20]Kunpeng Zhang, Yu Cheng, Yusheng Xie, Daniel Honbo, Ankit Agrawal, Diana Palsetia, Kathy Lee, Wei-keng Liao, Alok N. Choudhary:
SES: Sentiment Elicitation System for Social Media Data. ICDM Workshops 2011: 129-136 - [c19]Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Learning to Group Web Text Incorporating Prior Information. ICDM Workshops 2011: 212-219 - [c18]Kathy Lee, Diana Palsetia, Ramanathan Narayanan, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary:
Twitter Trending Topic Classification. ICDM Workshops 2011: 251-258 - [c17]Lalith Polepeddi, Ankit Agrawal, Alok N. Choudhary:
Poll: A Citation Text Based System for Identifying High-Impact Contributions of an Article. ICDM Workshops 2011: 965-968 - [c16]Ankit Agrawal, Alok N. Choudhary:
Identifying HotSpots in Lung Cancer Data Using Association Rule Mining. ICDM Workshops 2011: 995-1002 - [c15]Nithin Nakka, Ankit Agrawal, Alok N. Choudhary:
Predicting Node Failure in High Performance Computing Systems from Failure and Usage Logs. IPDPS Workshops 2011: 1557-1566 - [c14]Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary:
A lung cancer outcome calculator using ensemble data mining on SEER data. BIOKDD 2011: 5:1-5:9 - 2010
- [j4]Ankit Agrawal, Ankush Mittal, Rahul Jain, Raghav Takkar:
Fuzzy-adaptive-thresholding-based exon prediction. Int. J. Comput. Biol. Drug Des. 3(4): 311-333 (2010) - [c13]Ankit Agrawal, Alok N. Choudhary, Xiaoqiu Huang:
Derived distribution points heuristic for fast pairwise statistical significance estimation. BCB 2010: 312-321 - [c12]Ankit Agrawal, Alok N. Choudhary, Xiaoqiu Huang:
Non-Conservative Pairwise Statistical Significance of Local Sequence Alignment Using Position-Specific Substitution Matrices. BIOCOMP 2010: 262-268 - [c11]Daniel Honbo, Ankit Agrawal, Alok N. Choudhary:
Efficient Pairwise Statistical Significance Estimation using FPGAs. BIOCOMP 2010: 571-577 - [c10]Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N. Choudhary:
MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment. HPDC 2010: 470-476
2000 – 2009
- 2009
- [j3]Ankit Agrawal, Xiaoqiu Huang:
PSIBLAST_PairwiseStatSig: reordering PSI-BLAST hits using pairwise statistical significance. Bioinform. 25(8): 1082-1083 (2009) - [j2]Ankit Agrawal, Xiaoqiu Huang:
Pairwise statistical significance of local sequence alignment using multiple parameter sets and empirical justification of parameter set change penalty. BMC Bioinform. 10(S-3) (2009) - 2008
- [j1]Ankit Agrawal, Volker Brendel, Xiaoqiu Huang:
Pairwise statistical significance and empirical determination of effective gap opening penalties for protein local sequence alignment. Int. J. Comput. Biol. Drug Des. 1(4): 347-367 (2008) - [c9]Ankit Agrawal, Xiaoqiu Huang:
Conservative, Non-conservative and Average Pairwise Statistical Significance of Local Sequence Alignment. BIBM 2008: 433-436 - [c8]Ankit Agrawal, Xiaoqiu Huang:
Pairwise statistical significance of local sequence alignment using multiple parameter sets. DTMBIO 2008: 53-60 - [c7]Ankit Agrawal, Xiaoqiu Huang:
Pairwise DNA Alignment with Sequence Specific Transition-Transversion Ratio Using Multiple Parameter Sets. ICIT 2008: 89-93 - [c6]Ankit Agrawal, Xiaoqiu Huang:
Pairwise Statistical Significance of Local Sequence Alignment Using Substitution Matrices with Sequence-Pair-Specific Distance. ICIT 2008: 94-99 - [c5]Ankit Agrawal, Ankush Mittal, Rahul Jain, Raghav Takkar:
An adaptive fuzzy thresholding algorithm for exon prediction. EIT 2008: 211-214 - [c4]Ankit Agrawal, S. K. Khaitan:
A new heuristic for multiple sequence alignment. EIT 2008: 215-217 - [c3]Ankit Agrawal, Xiaoqiu Huang:
DNAlignTT: Pairwise DNA alignment with sequence specific transition-transversion ratio. EIT 2008: 453-455 - [c2]Ankit Agrawal, Volker Brendel, Xiaoqiu Huang:
Pairwise Statistical Significance Versus Database Statistical Significance for Local Alignment of Protein Sequences. ISBRA 2008: 50-61 - [c1]Ankit Agrawal, Arka P. Ghosh, Xiaoqiu Huang:
Estimating Pairwise Statistical Significance of Protein Local Alignments Using a Clustering-Classification Approach Based on Amino Acid Composition. ISBRA 2008: 62-73
Coauthor Index
[c119] [j24] [j23] [c118] [c117] [c116] [c115] [c114] [c113] [j22] [j21] [c112] [c111] [c110] [c108] [i12] [i11] [j20] [c107] [c106] [c105] [c104] [i10] [j19] [c103] [c102] [c101] [c100] [i9] [j18] [j17] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [i8] [i7] [i6] [i5] [j16] [c90] [c89] [c88] [c87] [i4] [j15] [j14] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [i3] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [i2] [c63] [c62] [c61] [c60] [c59] [c57] [c56] [j13] [j12] [j11] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [j10] [j9] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [j8] [j7] [j6] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10]
Wei-keng Liao
aka: Wei-Keng Liao
aka: Wei-Keng Liao
[c119] [j24] [j23] [c118] [c117] [c116] [c115] [c114] [c113] [j22] [j21] [c112] [c111] [c110] [c108] [i12] [i11] [j20] [c107] [c106] [c105] [c104] [i10] [j19] [c103] [c102] [c101] [c100] [i9] [j17] [c99] [c98] [c96] [c95] [c94] [c93] [c92] [c91] [i8] [i7] [i6] [i5] [c90] [c89] [c88] [c87] [i4] [c85] [c84] [c83] [c82] [c81] [i3] [c78] [c77] [c76] [c75] [c73] [c72] [c71] [c65] [c64] [c59] [j11] [c49] [c48] [c47] [c43] [c39] [c38] [c35] [c34] [j10] [c30] [c29] [c26] [c25] [j8] [c24] [c21] [c20] [c19]
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