Particle Swarm Optimization Trained Class Association Rule Mining: Application to Phishing Detection. - Kshitij Tayal; Vadlamani Ravi (ICIA, 2016)

Cognitive-Biometric Recognition From Language Usage: A Feasibility Study. - Neeti Pokhriyal; Kshitij Tayal; Ifeoma Nwogu; Venu Govindaraju (IEEE Trans. Inf. Forensics Secur., 2017)

An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. - Daniel Garijo; Deborah Khider; Varun Ratnakar; Yolanda Gil; Ewa Deelman; Rafael Ferreira da Silva; Craig A. Knoblock; Yao-Yi Chiang; Minh Pham 004; Jay Pujara; Binh Vu; Dan Feldman; et al. (IUI Companion, 2019)

Sequence Alignment on Directed Graphs. - Vaddadi Naga Sai Kavya; Kshitij Tayal; Rajgopal Srinivasan; Naveen Sivadasan (J. Comput. Biol., 2019)

Model-agnostic Methods for Text Classification with Inherent Noise. - Kshitij Tayal; Rahul Ghosh; Vipin Kumar 001 (COLING (Industry), 2020)

Regularized Graph Convolutional Networks for Short Text Classification. - Kshitij Tayal; Nikhil Rao 001; Saurabh Agarwal; Xiaowei Jia; Karthik Subbian; Vipin Kumar 001 (COLING (Industry), 2020)

Inverse Problems, Deep Learning, and Symmetry Breaking. - Kshitij Tayal; Chieh-Hsin Lai; Vipin Kumar 001; Ju Sun (CoRR, 2020)

Phase Retrieval using Single-Instance Deep Generative Prior. - Kshitij Tayal; Raunak Manekar; Zhong Zhuang; David Yang; Vipin Kumar 001; Felix Hofmann; Ju Sun (CoRR, 2021)

Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. - Yolanda Gil; Daniel Garijo; Deborah Khider; Craig A. Knoblock; Varun Ratnakar; Maximiliano Osorio; Hernán Vargas; Minh Pham 004; Jay Pujara; Basel Shbita; Binh Vu; Yao-Yi Chiang; et al. (ACM Trans. Interact. Intell. Syst., 2021)

Meta-Transfer Learning: An application to Streamflow modeling in River-streams. - Rahul Ghosh; Bangyan Li; Kshitij Tayal; Vipin Kumar 001; Xiaowei Jia (ICDM, 2022)

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. - Rahul Ghosh; Arvind Renganathan; Kshitij Tayal; Xiang Li; Ankush Khandelwal; Xiaowei Jia; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (KDD, 2022)

Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. - Kshitij Tayal; Xiaowei Jia; Rahul Ghosh; Jared Willard; Jordan S. Read; Vipin Kumar 001 (SDM, 2022)

Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. - Kshitij Tayal; Arvind Renganathan; Rahul Ghosh; Xiaowei Jia; Vipin Kumar 001 (ICDM, 2023)

ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. - Kshitij Tayal; Arvind Renganathan; Xiaowei Jia; Vipin Kumar 001; Dan Lu (ICDM, 2024)

Hierarchical Conditional Multi-Task Learning for Streamflow Modeling. - Shaoming Xu; Arvind Renganathan; Ankush Khandelwal; Rahul Ghosh; Xiang Li; Licheng Liu; Kshitij Tayal; Peter Harrington; Xiaowei Jia; Zhenong Jin; John Nieber; Vipin Kumar 001 (CoRR, 2024)