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ORCIDEvren Körpeoglu
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2020 – today
- 2024
[j6]Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Relation labeling in product knowledge graphs with large language models for e-commerce. Int. J. Mach. Learn. Cybern. 15(12): 5725-5743 (2024)- [c20]Mansi Ranjit Mane
, Djordje Gligorijevic, Dingxian Wang, Behzad Shahrasbi, Topojoy Biswas, Evren Körpeoglu, Marios Savvides:
Workshop on Generative AI for E-commerce. CIKM 2024: 5592-5595 - [c19]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: 2910-2914 - [i20]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 abs/2402.05941 (2024) - [i19]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 abs/2403.00863 (2024) - [i18]Najmeh Forouzandehmehr, Nima Farrokhsiar, Ramin Giahi, Evren Körpeoglu, Kannan Achan:
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference. CoRR abs/2409.12150 (2024) - 2023
- [c18]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: 1-7 - [c17]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. IEEE Big Data 2023: 3144-3148 - [c16]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. IEEE Big Data 2023: 4318-4324 - [c15]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: 1484-1492 - [i17]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 abs/2305.09858 (2023) - [i16]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 abs/2310.17732 (2023) - [i15]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 abs/2312.00909 (2023) - [i14]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 abs/2312.16351 (2023) - 2022
- [c14]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. IEEE Big Data 2022: 3945-3951 - [c13]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 - [i13]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 abs/2202.05456 (2022) - [i12]Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang:
Causal Structure Learning with Recommendation System. CoRR abs/2210.10256 (2022) - 2021
- [c12]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: 469-479 - [c11]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. ICLR 2021 - [c10]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. ICML 2021: 11514-11524 - [c9]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: 2409-2419 - [c8]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Towards the D-Optimal Online Experiment Design for Recommender Selection. KDD 2021: 3817-3825 - [c7]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. WSDM 2021: 256-264 - [i11]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. CoRR abs/2102.12029 (2021) - [i10]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. CoRR abs/2103.15213 (2021) - [i9]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Towards the D-Optimal Online Experiment Design for Recommender Selection. CoRR abs/2110.12132 (2021) - [i8]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. CoRR abs/2110.12141 (2021) - 2020
- [c6]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Inductive representation learning on temporal graphs. ICLR 2020 - [c5]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Adversarial Counterfactual Learning and Evaluation for Recommender System. NeurIPS 2020 - [c4]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Product Knowledge Graph Embedding for E-commerce. WSDM 2020: 672-680 - [c3]Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Knowledge-aware Complementary Product Representation Learning. WSDM 2020: 681-689 - [i7]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Inductive Representation Learning on Temporal Graphs. CoRR abs/2002.07962 (2020) - [i6]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Adversarial Counterfactual Learning and Evaluation for Recommender System. CoRR abs/2012.02295 (2020) - [i5]Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He:
GAN-based Recommendation with Positive-Unlabeled Sampling. CoRR abs/2012.06901 (2020)
2010 – 2019
- 2019
- [c2]Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Generative Graph Convolutional Network for Growing Graphs. ICASSP 2019: 3167-3171 - [c1]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Self-attention with Functional Time Representation Learning. NeurIPS 2019: 15889-15899 - [i4]Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Generative Graph Convolutional Network for Growing Graphs. CoRR abs/1903.02640 (2019) - [i3]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation. CoRR abs/1904.12574 (2019) - [i2]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Product Knowledge Graph Embedding for E-commerce. CoRR abs/1911.12481 (2019) - [i1]Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan:
Self-attention with Functional Time Representation Learning. CoRR abs/1911.12864 (2019) - 2018
- [j5]Kemal Güler, Evren Körpeoglu, Alper Sen:
Newsvendor competition under asymmetric cost information. Eur. J. Oper. Res. 271(2): 561-576 (2018) - 2017
- [j4]Kemal Güler, Evren Körpeoglu, Alper Sen:
Design and analysis of mechanisms for decentralized joint replenishment. Eur. J. Oper. Res. 259(3): 992-1002 (2017) - 2014
- [j3]Alper Sen, Hande Yaman, Kemal Güler, Evren Körpeoglu:
Multi-period supplier selection under price uncertainty. J. Oper. Res. Soc. 65(11): 1636-1648 (2014) - 2013
- [j2]Evren Körpeoglu, Alper Sen, Kemal Güler:
Non-cooperative joint replenishment under asymmetric information. Eur. J. Oper. Res. 227(3): 434-443 (2013) - 2012
- [j1]Evren Körpeoglu, Alper Sen, Kemal Güler:
A private contributions game for joint replenishment. Math. Methods Oper. Res. 75(1): 67-82 (2012)
Coauthor Index
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last updated on 2024-12-02 22:27 CET by the dblp team
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