Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. - Xiaohan Li 001; Zheng Liu 017; Luyi Ma; Kaushiki Nag; Stephen D. Guo; Philip S. Yu; Kannan Achan (IEEE Big Data, 2022)

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. - Reza Yousefi Maragheh; Ramin Giahi; Jianpeng Xu; Lalitesh Morishetti; Shanu Vashishtha; Kaushiki Nag; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (IEEE Big Data, 2022)

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. - Jiao Chen 005; Luyi Ma; Xiaohan Li 001; Nikhil Thakurdesai; Jianpeng Xu; Jason H. D. Cho; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (CoRR, 2023)

Seller-side Outcome Fairness in Online Marketplaces. - Zikun Ye; Reza Yousefi Maragheh; Lalitesh Morishetti; Shanu Vashishtha; Jason Cho 001; Kaushiki Nag; Sushant Kumar; Kannan Achan (CoRR, 2023)

Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning. - Xiaohan Li 001; Zezhong Fan; Luyi Ma; Kaushiki Nag; Kannan Achan (IEEE Big Data, 2024)

Improving Sequential Recommender Systems with Online and In-store User Behavior. - Luyi Ma; Aashika Padmanabhan; Anjana Ganesh; Shengwei Tang; Jiao Chen 005; Xiaohan Li 001; Lalitesh Morishetti; Kaushiki Nag; Malay Patel; Jason H. D. Cho; Sushant Kumar; Kannan Achan (IEEE Big Data, 2024)

Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. - Shanu Vashishtha; Abhay Kumar; Lalitesh Morishetti; Kaushiki Nag; Kannan Achan (ECAI, 2024)

Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners. - Shanu Vashishtha; Abhinav Prakash; Lalitesh Morishetti; Kaushiki Nag; Yokila Arora; Sushant Kumar; Kannan Achan (KDD, 2024)

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. - Chenhao Fang; Xiaohan Li 001; Zezhong Fan; Jianpeng Xu; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (SIGIR, 2024)

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. - Zezhong Fan; Xiaohan Li 001; Kaushiki Nag; Chenhao Fang; Topojoy Biswas; Jianpeng Xu; Kannan Achan (WWW (Companion Volume), 2024)

Debiasing Machine Unlearning with Counterfactual Examples. - Ziheng Chen 002; Jia Wang 009; Jun Zhuang; Abbavaram Gowtham Reddy; Fabrizio Silvestri; Jin Huang 010; Kaushiki Nag; Kun Kuang; Xin Ning 001; Gabriele Tolomei (CoRR, 2024)

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations. - Luyi Ma; Xiaohan Li 001; Zezhong Fan; Jianpeng Xu; Jason H. D. Cho; Praveenkumar Kanumala; Kaushiki Nag; Sushant Kumar; Kannan Achan (CoRR, 2024)

Relation labeling in product knowledge graphs with large language models for e-commerce. - Jiao Chen 005; Luyi Ma; Xiaohan Li 001; Jianpeng Xu; Jason H. D. Cho; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (Int. J. Mach. Learn. Cybern., 2024)

FROG: Fair Removal on Graphs. - Ziheng Chen 002; Jiali Cheng; Gabriele Tolomei; Sijia Liu; Hadi Amiri; Yu Wang; Kaushiki Nag; Lu Lin (CoRR, 2025)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. - Luyi Ma; Wanjia Zhang; Kai Zhao; Abhishek Kulkarni; Lalitesh Morishetti; Anjana Ganesh; Ashish Ranjan; Aashika Padmanabhan; Jianpeng Xu; Jason Cho 001; Praveenkumar Kanumala; Kaushiki Nag; et al. (CoRR, 2025)

Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data. - Lalitesh Morishetti; Abhay Kumar; Jonathan Scott; Kaushiki Nag; Gunjan Sharma; Shanu Vashishtha; Rahul Sridhar; Rohit Chatter; Kannan Achan (CoRR, 2025)