Aman

Aman Ahuja

Ph.D. Student in Computer Science

Virginia Tech

About Me

I am a Ph.D. Student in the Department of Computer Science at Virginia Tech. My advisor is Dr. Edward A. Fox.

I received my Bachelor's degree in Information Systems from Birla Institute of Technology & Science, India. As a part of my undergraduate studies, I also worked as a Visiting Scholar at Carnegie Mellon University under Dr. Kathleen Carley.

Research

My research interests lie in the field of Machine Learning, with emphasis on Document Understanding, Search and Retrieval, and Question-Answering. My Ph.D. research focuses on improving the accessibility of long PDF documents, such as books and dissertations. I also worked as an Applied Scientist Intern at Amazon Search, where I worked on neural ranking models for product search.

Publications

Conference and Workshop Papers

  • Aman Ahuja, Kevin Dinh, Brian Dinh, William A Ingram and Edward A. Fox, "A New Annotation Method and Dataset for Layout Analysis of Long Documents", In Companion Proceedings of the ACM Web Conference, April 2023. PDF
  • Aman Ahuja, Alan Devera and Edward A. Fox, "Parsing Electronic Theses and Dissertations Using Object Detection", In Proceedings of the first Workshop on Information Extraction from Scientific Publications (WIESP @ AACL-IJCNLP), November 2022. PDF
  • Ming Zhu, Aman Ahuja, Da-Cheng Juan, Wei Wei and Chandan K. Reddy, "Question Answering with Long Multiple-Span Answers", In Findings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020. PDF
  • Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian and Chandan K. Reddy, "Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms", In Proceedings of the Thirteenth ACM International Conference on Web Search and Data Mining (WSDM '20), Houston, TX, February 2020. PDF Blog News
  • Ming Zhu, Aman Ahuja, Wei Wei and Chandan K. Reddy, "A Hierarchical Attention Retrieval Model for Healthcare Question Answering", In Proceedings of the ACM International Conference on World Wide Web (The Web Conference), San Francisco, CA, May 2019. PDF
  • Xuan Zhang, Zhilei Qiao, Aman Ahuja, Weiguo Fan, Edward A. Fox and Chandan K. Reddy, "Discovering Product Defects and Solutions from Online User Generated Contents", In Proceedings of the ACM International Conference on World Wide Web (The Web Conference), San Francisco, CA, May 2019. PDF
  • Aman Ahuja, Ashish Baghudana, Wei Lu, Edward A. Fox, and Chandan K. Reddy, "Spatio-Temporal Event Detection from Multiple Data Sources", In Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Macau, China, April 2019. PDF
  • Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun and Chandan K. Reddy, "A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews", In Proceedings of the ACM International Conference on World Wide Web (The Web Conference), Lyon, France, April 2018. PDF
  • Aman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley and Chandan K. Reddy, "A Probabilistic Geographical Aspect-Opinion Model for Geo-tagged Microblogs", In Proceedings of the IEEE International Conference on Data Mining (ICDM), New Orleans, LA, November 2017. PDF
  • Aman Ahuja, Wei Wei and Kathleen M. Carley, "Microblog Sentiment Topic Model", In Proceedings of the IEEE International Conference on Data Mining Workshops (ICDMW), Barcelona, Spain, December 2016. PDF

Technical Reports

  • Aman Ahuja, Wei Wei and Kathleen M. Carley, "Topic Modeling in Large Scale Social Network Data", CMU-ISR-15-108 Technical Report , Institute for Software Research, School of Computer Science, Carnegie Mellon University. PDF
Google Scholar

Academic Service

Program Committee Reviewer ACL, EMNLP, AAAI

Organizing Committee Member EANCS Workshop (EMNLP 2021)

Journal Reviewer TKDE