Customizable Vehicle Tracking with Intelligent Prediction System. - Dhanasekar Sundararaman; Gowtham Ravichandran; R. Jagadeesh; Sasirekha Selvakumar; I. Joe Louis Paul; Sankaranarayanan Swamynathan (I3E, 2017)

Twigraph: Discovering and Visualizing Influential Words Between Twitter Profiles. - Dhanasekar Sundararaman; Sudharshan Srinivasan (SocInfo (2), 2017)

How much is my car worth? A methodology for predicting used cars prices using Random Forest. - Nabarun Pal; Priya Arora; Dhanasekar Sundararaman; Puneet Kohli; Sai Sumanth Palakurthy (CoRR, 2017)

An analysis of non-immigrant work visas in the USA using Machine Learning. - Dhanasekar Sundararaman; Nabarun Pal; Aashish Kumar Misraa (CoRR, 2017)

YouTree: A Visualization Paradigm of Statistically and Textually Similar Videos. - Dhanasekar Sundararaman; Vishwanath Seshagiri; Balaji Ramesh; Priya Arora (ICCMS, 2018)

TweetIT: analyzing topics for Twitter users to garner maximum attention. - Dhanasekar Sundararaman; Priya Arora; Vishwanath Seshagiri (ICMLSC, 2018)

Learning Compressed Sentence Representations for On-Device Text Processing. - Dinghan Shen; Pengyu Cheng; Dhanasekar Sundararaman; Xinyuan Zhang 001; Qian Yang 003; Meng Tang; Asli Celikyilmaz; Lawrence Carin (ACL (1), 2019)

Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Shijing Si; Dinghan Shen; Dong Wang 037; Lawrence Carin (CoRR, 2019)

Methods for Numeracy-Preserving Word Embeddings. - Dhanasekar Sundararaman; Shijing Si; Vivek Subramanian; Guoyin Wang 002; Devamanyu Hazarika; Lawrence Carin (EMNLP (1), 2020)

Syntactic Knowledge-Infused Transformer and BERT Models. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Shijing Si; Dinghan Shen; Dong Wang 037; Lawrence Carin (CIKM Workshops, 2021)

Learning Task Sampling Policy for Multitask Learning. - Dhanasekar Sundararaman; Henry Tsai; Kuang-Huei Lee; Iulia Turc; Lawrence Carin (EMNLP (Findings), 2021)

Improving Downstream Task Performance by Treating Numbers as Entities. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Liyan Xu; Lawrence Carin (CIKM, 2022)

How do lexical semantics affect translation? An empirical study. - Vivek Subramanian; Dhanasekar Sundararaman (CoRR, 2022)

Number Entity Recognition. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Liyan Xu; Lawrence Carin (CoRR, 2022)

Exploring Gender Bias in Retrieval Models. - Dhanasekar Sundararaman; Vivek Subramanian (CoRR, 2022)

Pseudo-OOD training for robust language models. - Dhanasekar Sundararaman; Nikhil Mehta 002; Lawrence Carin (CoRR, 2022)

Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities. - Shounak Datta; Dhanasekar Sundararaman (CoRR, 2025)