PPaperPicks

Kaushiki Nag

11 papers at tracked venues · 7 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Kannan Achan
×9
Evren Körpeoglu
×5
Lalitesh Morishetti
×5
Jianpeng Xu
×5
Sushant Kumar
×5
Zezhong Fan
×4
Xiaohan Li
×4
Kai Zhao
×3
Luyi Ma
×3
Yanan Cao
×2
Ashish Ranjan
×2
Sinduja Subramaniam
×2

Papers

  1. CASE: Cadence-Aware Set Encoding for Large-Scale Next Basket Repurchase Recommendation
    SIGIR 2026 ·
    Yanan Cao
    ,
    Ashish Ranjan
    ,
    Sinduja Subramaniam
    ,
    Evren Körpeoglu
    , Kaushiki Nag,
    Kannan Achan
  2. Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction
    WWW 2026 ·
    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
  3. Segment and Matte Anything in a Unified Model
    AAAI 2026 ·
    Zezhong Fan
    ,
    Xiaohan Li
    ,
    Topojoy Biswas
    , Kaushiki Nag,
    Kannan Achan
  4. Triple Modality Fusion: Aligning Visual, Textual, and Graph Data for LLM-based Multi-Behavior Recommender Systems
    WWW 2026 ·
    Luyi Ma
    ,
    Xiaohan Li
    ,
    Zezhong Fan
    ,
    Kai Zhao
    ,
    Jianpeng Xu
    ,
    Jason Cho
    ,
    Praveenkumar Kanumala
    , Kaushiki Nag,
    Evren Körpeoglu
    ,
    Sushant Kumar
    ,
    Kannan Achan
  5. FROG: Fair Removal on Graph
    CIKM 2025 ·
    Ziheng Chen
    ,
    Jiali Cheng
    ,
    Hadi Amiri
    , Kaushiki Nag,
    Lu Lin
    ,
    Sijia Liu
    ,
    Gabriele Tolomei
    ,
    Xiangguo Sun
  6. FUTURE: Flexible Unlearning for Tree Ensemble
    CIKM 2025 ·
    Ziheng Chen
    ,
    Jin Huang
    ,
    Jiali Cheng
    ,
    Yuchan Guo
    ,
    Mengjie Wang
    ,
    Lalitesh Morishetti
    , Kaushiki Nag,
    Hadi Amiri
  7. GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization
    RecSys 2025 ·
    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
  8. Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners
    SIGKDD 2024 ·
    Shanu Vashishtha
    ,
    Abhinav Prakash
    ,
    Lalitesh Morishetti
    , Kaushiki Nag,
    Yokila Arora
    ,
    Sushant Kumar
    ,
    Kannan Achan
  9. LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction
    SIGIR 2024 ·
    Chenhao Fang
    ,
    Xiaohan Li
    ,
    Zezhong Fan
    ,
    Jianpeng Xu
    , Kaushiki Nag,
    Evren Körpeoglu
    ,
    Sushant Kumar
    ,
    Kannan Achan
  10. Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers
    ECAI 2024 ·
    Shanu Vashishtha
    ,
    Abhay Kumar
    ,
    Lalitesh Morishetti
    , Kaushiki Nag,
    Kannan Achan
  11. Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding
    WWW 2024 ·
    Zezhong Fan
    ,
    Xiaohan Li
    , Kaushiki Nag,
    Chenhao Fang
    ,
    Topojoy Biswas
    ,
    Jianpeng Xu
    ,
    Kannan Achan