Evren Körpeoglu

64 papers A* 10A 7B 4Misc 1Journal 39Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Campaign-2-PT-RAG: LLM-Guided Semantic Product Type Attribution for Scalable Campaign Ranking.
CoRR
Yiming Che, Mansi Ranjit Mane, Keerthi Gopalakrishnan, Parisa Kaghazgaran, Murali Mohana Krishna Dandu, Archana Venkatachalapathy, Sinduja Subramaniam, Yokila Arora, Evren Körpeoglu, Sushant Kumar, Kannan Achan
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
2025 J jnl
CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design.
CoRR
Najmeh Forouzandehmehr, Reza Yousefi Maragheh, Sriram Kollipara, Kai Zhao, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2025 J jnl
CARTS: Collaborative Agents for Recommendation Textual Summarization.
CoRR
Jiao Chen, Kehui Yao, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
Causal Structure Learning for Recommender System.
Trans. Recomm. Syst.
Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang
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
Grocery to General Merchandise: A Cross-Pollination Recommender using LLMs and Real-Time Cart Context.
CoRR
Akshay Kekuda, Murali Mohana Krishna Dandu, Rimita Lahiri, Shiqin Cai, Sinduja Subramaniam, Evren Körpeoglu, 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 J jnl
No-Human in the Loop: Agentic Evaluation at Scale for Recommendation.
CoRR
Tao Zhang, Kehui Yao, Luyi Ma, Jiao Chen, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
ROSI: A hybrid solution for omni-channel feature integration in E-commerce.
Data Knowl. Eng.
Luyi Ma, Shengwei Tang, Anjana Ganesh, Jiao Chen, Aashika Padmanabhan, Malay Patel, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe.
CoRR
Yanan Cao, Omid Memarrast, Shiqin Cai, Sinduja Subramaniam, Evren Körpeoglu, Kannan Achan
2025 — conf
S2SRec2: Set‑to‑Set Recommendation for Basket Completion with Recipe.
eCom@SIGIR
Yanan Cao, Omid Memarrast, Shiqin Cai, Sinduja Subramaniam, Evren Körpeoglu, Kannan Achan
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
2025 A conf
The Second Workshop on Generative AI for E-commerce.
RecSys
Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Topojoy Biswas, Evren Körpeoglu, Marios Savvides, Yongfeng Zhang, Julian J. McAuley
2025 A conf
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings.
RecSys
Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2025 J jnl
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings.
CoRR
Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2024 J jnl
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs.
CoRR
Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan
2024 J jnl
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference.
CoRR
Najmeh Forouzandehmehr, Nima Farrokhsiar, Ramin Giahi, Evren Körpeoglu, 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 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 A conf
Workshop on Generative AI for E-commerce.
CIKM
Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Behzad Shahrasbi, Topojoy Biswas, Evren Körpeoglu, Marios Savvides
2023 B conf
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs.
IEEE Big Data
Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan
2023 — conf
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.
ICDM (Workshops)
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.
CoRR
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason Cho, Evren Körpeoglu, 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
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models.
CoRR
Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 B conf
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models.
IEEE Big Data
Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 B conf
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.
IEEE Big Data
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.
CoRR
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2022 J jnl
Causal Structure Learning with Recommendation System.
CoRR
Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang
2022 A* conf
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation.
ICLR
Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2022 J jnl
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.
CoRR
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, 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
2021 A* conf
A Temporal Kernel Approach for Deep Learning with Continuous-time Information.
ICLR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
A Temporal Kernel Approach for Deep Learning with Continuous-time Information.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 — conf
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.
IEEE BigData
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A* conf
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.
KDD
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
2021 A* conf
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.
ICML
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A conf
Theoretical Understandings of Product Embedding for E-commerce Machine Learning.
WSDM
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
Theoretical Understandings of Product Embedding for E-commerce Machine Learning.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A* conf
Towards the D-Optimal Online Experiment Design for Recommender Selection.
KDD
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
Towards the D-Optimal Online Experiment Design for Recommender Selection.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 A* conf
Adversarial Counterfactual Learning and Evaluation for Recommender System.
NeurIPS
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 J jnl
Adversarial Counterfactual Learning and Evaluation for Recommender System.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 J jnl
GAN-based Recommendation with Positive-Unlabeled Sampling.
CoRR
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
2020 J jnl
Inductive Representation Learning on Temporal Graphs.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 A* conf
Inductive representation learning on temporal graphs.
ICLR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 A conf
Knowledge-aware Complementary Product Representation Learning.
WSDM
Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 A conf
Product Knowledge Graph Embedding for E-commerce.
WSDM
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 Misc conf
Generative Graph Convolutional Network for Growing Graphs.
ICASSP
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Generative Graph Convolutional Network for Growing Graphs.
CoRR
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Product Knowledge Graph Embedding for E-commerce.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 A* conf
Self-attention with Functional Time Representation Learning.
NeurIPS
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Self-attention with Functional Time Representation Learning.
CoRR
Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan
2018 J jnl
Newsvendor competition under asymmetric cost information.
Eur. J. Oper. Res.
Kemal Güler, Evren Körpeoglu, Alper Sen
2017 J jnl
Design and analysis of mechanisms for decentralized joint replenishment.
Eur. J. Oper. Res.
Kemal Güler, Evren Körpeoglu, Alper Sen
2014 J jnl
Multi-period supplier selection under price uncertainty.
J. Oper. Res. Soc.
Alper Sen, Hande Yaman, Kemal Güler, Evren Körpeoglu
2013 J jnl
Non-cooperative joint replenishment under asymmetric information.
Eur. J. Oper. Res.
Evren Körpeoglu, Alper Sen, Kemal Güler
2012 J jnl
A private contributions game for joint replenishment.
Math. Methods Oper. Res.
Evren Körpeoglu, Alper Sen, Kemal Güler