Evren Körpeoglu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 40

Top Topics

Customer Preferences

Theoretical Perspectives

Prospect Theory

Top Venues

Eur. J. Oper. Res.

Publications

Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. CoRR (2024)
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. SIGIR (2024)
Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. CoRR (2024)
Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. CoRR (2023)
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. CoRR (2023)
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. ICDM (Workshops) (2023)
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. CoRR (2023)
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
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models. BigData (2023)
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. BigData (2023)
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
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models. CoRR (2023)
Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. IEEE Big Data (2023)
Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang
Causal Structure Learning with Recommendation System. CoRR (2022)
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. CoRR (2022)
Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. Big Data (2022)
Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. ICLR (2022)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. CoRR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. WSDM (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. CoRR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. ICLR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Towards the D-Optimal Online Experiment Design for Recommender Selection. CoRR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. ICML (2021)
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. KDD (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. CoRR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Towards the D-Optimal Online Experiment Design for Recommender Selection. KDD (2021)
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. IEEE BigData (2021)
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
GAN-based Recommendation with Positive-Unlabeled Sampling. CoRR (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Adversarial Counterfactual Learning and Evaluation for Recommender System. CoRR (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Adversarial Counterfactual Learning and Evaluation for Recommender System. NeurIPS (2020)
Da Xu, Chuanwei Ruan, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Knowledge-aware Complementary Product Representation Learning. WSDM (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Product Knowledge Graph Embedding for E-commerce. WSDM (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Inductive representation learning on temporal graphs. ICLR (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Inductive Representation Learning on Temporal Graphs. CoRR (2020)
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Generative Graph Convolutional Network for Growing Graphs. ICASSP (2019)
Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan
Self-attention with Functional Time Representation Learning. CoRR (2019)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Self-attention with Functional Time Representation Learning. NeurIPS (2019)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation. CoRR (2019)
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Generative Graph Convolutional Network for Growing Graphs. CoRR (2019)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Product Knowledge Graph Embedding for E-commerce. CoRR (2019)
Kemal Güler, Evren Körpeoglu, Alper Sen
Newsvendor competition under asymmetric cost information. Eur. J. Oper. Res. 271 (2) (2018)
Kemal Güler, Evren Körpeoglu, Alper Sen
Design and analysis of mechanisms for decentralized joint replenishment. Eur. J. Oper. Res. 259 (3) (2017)
Alper Sen, Hande Yaman, Kemal Güler, Evren Körpeoglu
Multi-period supplier selection under price uncertainty. J. Oper. Res. Soc. 65 (11) (2014)
Evren Körpeoglu, Alper Sen, Kemal Güler
Non-cooperative joint replenishment under asymmetric information. Eur. J. Oper. Res. 227 (3) (2013)
Evren Körpeoglu, Alper Sen, Kemal Güler
A private contributions game for joint replenishment. Math. Methods Oper. Res. 75 (1) (2012)