Kaushiki Nag

34 papers A* 4A 4B 5Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction.
WWW
Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Körpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan
2026 J jnl
Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction.
CoRR
Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Körpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan
2026 A* conf
Segment and Matte Anything in a Unified Model.
AAAI
Zezhong Fan, Xiaohan Li, Topojoy Biswas, Kaushiki Nag, Kannan Achan
2026 J jnl
Segment and Matte Anything in a Unified Model.
CoRR
Zezhong Fan, Xiaohan Li, Topojoy Biswas, Kaushiki Nag, Kannan Achan
2025 A conf
FROG: Fair Removal on Graph.
CIKM
Ziheng Chen, Jiali Cheng, Hadi Amiri, Kaushiki Nag, Lu Lin, Sijia Liu, Gabriele Tolomei, Xiangguo Sun
2025 J jnl
FROG: Fair Removal on Graphs.
CoRR
Ziheng Chen, Jiali Cheng, Gabriele Tolomei, Sijia Liu, Hadi Amiri, Yu Wang, Kaushiki Nag, Lu Lin
2025 A conf
FUTURE: Flexible Unlearning for Tree Ensemble.
CIKM
Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri
2025 J jnl
FUTURE: Flexible Unlearning for Tree Ensemble.
CoRR
Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri
2025 A conf
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
RecSys
Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
CoRR
Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning.
CoRR
Zezhong Fan, Xiaohan Li, Luyi Ma, Kai Zhao, Liang Peng, Topojoy Biswas, Evren Körpeoglu, Kaushiki Nag, Kannan Achan
2025 B conf
Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data.
IEEE Big Data
Lalitesh Morishetti, Abhay Kumar, Jonathan Scott, Kaushiki Nag, Gunjan Sharma, Shanu Vashishtha, Rahul Sridhar, Rohit Chatter, Kannan Achan
2025 J jnl
Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data.
CoRR
Lalitesh Morishetti, Abhay Kumar, Jonathan Scott, Kaushiki Nag, Gunjan Sharma, Shanu Vashishtha, Rahul Sridhar, Rohit Chatter, Kannan Achan
2025 — conf
Prompt-Tuning for Recommendation Unlearning.
CAI
Jin Huang, Zezhong Fan, Lalitesh Morishetti, Yuchan Guo, Kaushiki Nag, Hongshik Ahn, Ziheng Chen, Gabriele Tolomei
2025 J jnl
Spatial Reasoning in Foundation Models: Benchmarking Object-Centric Spatial Understanding.
CoRR
Vahid Mirjalili, Ramin Giahi, Sriram Kollipara, Akshay Kekuda, Kehui Yao, Kai Zhao, Jianpeng Xu, Kaushiki Nag, Sinduja Subramaniam, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2024 A* conf
Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners.
KDD
Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan
2024 J jnl
Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners.
CoRR
Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan
2024 J jnl
Debiasing Machine Unlearning with Counterfactual Examples.
CoRR
Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei
2024 B conf
Improving Sequential Recommender Systems with Online and In-store User Behavior.
IEEE Big Data
Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2024 J jnl
Improving Sequential Recommender Systems with Online and In-store User Behavior.
CoRR
Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason Cho, Sushant Kumar, Kannan Achan
2024 A* conf
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
SIGIR
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 J jnl
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
CoRR
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 A conf
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers.
ECAI
Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan
2024 J jnl
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers.
CoRR
Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan
2024 B conf
Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning.
IEEE Big Data
Xiaohan Li, Zezhong Fan, Luyi Ma, Kaushiki Nag, Kannan Achan
2024 — conf
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding.
WWW (Companion Volume)
Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan
2024 J jnl
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding.
CoRR
Zezhong Fan, Xiaohan Li, Chenhao Fang, Topojoy Biswas, Kaushiki Nag, Jianpeng Xu, Kannan Achan
2024 J jnl
Relation labeling in product knowledge graphs with large language models for e-commerce.
Int. J. Mach. Learn. Cybern.
Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 J jnl
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations.
CoRR
Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan
2023 J jnl
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.
CoRR
Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
Seller-side Outcome Fairness in Online Marketplaces.
CoRR
Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan
2022 B conf
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders.
IEEE Big Data
Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan
2022 J jnl
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders.
CoRR
Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan
2022 B conf
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.
IEEE Big Data
Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan