Kaushiki Nag
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
7
Active years
2024–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Segment and Matte Anything in a Unified Model. | Zezhong Fan, Xiaohan Li, Topojoy Biswas, Kaushiki Nag, Kannan Achan |
| 2026 | WWW | Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction. | Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Krpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan |
| 2026 | WWW | Triple Modality Fusion: Aligning Visual, Textual, and Graph Data for LLM-based Multi-Behavior Recommender Systems. | Luyi Ma, Xiaohan Li, Zezhong Fan, Kai Zhao, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2026 | SIGIR | CASE: Cadence-Aware Set Encoding for Large-Scale Next Basket Repurchase Recommendation. | Yanan Cao, Ashish Ranjan, Sinduja Subramaniam, Evren Krpeoglu, Kaushiki Nag, Kannan Achan |
| 2025 | CIKM | FUTURE: Flexible Unlearning for Tree Ensemble. | Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri |
| 2025 | CIKM | FROG: Fair Removal on Graph. | Ziheng Chen, Jiali Cheng, Hadi Amiri, Kaushiki Nag, Lu Lin, Sijia Liu, Gabriele Tolomei, Xiangguo Sun |
| 2025 | RecSys | 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 H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2024 | ECAI | Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. | Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan |
| 2024 | KDD | 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 |
| 2024 | WWW | Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. | Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan |
| 2024 | SIGIR | LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. | Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Krpeoglu, Sushant Kumar, Kannan Achan |