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2020 – today
- 2025
[j7]Luyi Ma, Shengwei Tang, Anjana Ganesh, Jiao Chen, Aashika Padmanabhan, Malay Patel
, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
ROSI: A hybrid solution for omni-channel feature integration in E-commerce. Data Knowl. Eng. 160: 102465 (2025)- [c23]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:
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. RecSys 2025: 135-144 - [c22]Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Körpeoglu, Kannan Achan:
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. RecSys 2025: 482-491 - [c21]Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Topojoy Biswas, Evren Körpeoglu, Marios Savvides, Yongfeng Zhang, Julian J. McAuley:
The Second Workshop on Generative AI for E-commerce. RecSys 2025: 1404-1408 - [i29]Jiao Chen, Kehui Yao, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
CARTS: Collaborative Agents for Recommendation Textual Summarization. CoRR abs/2506.17765 (2025) - [i28]Najmeh Forouzandehmehr, Reza Yousefi Maragheh, Sriram Kollipara, Kai Zhao, Topojoy Biswas, Evren Körpeoglu, Kannan Achan:
CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design. CoRR abs/2506.21934 (2025) - [i27]Yanan Cao, Omid Memarrast, Shiqin Cai, Sinduja Subramaniam, Evren Körpeoglu, Kannan Achan:
S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe. CoRR abs/2507.09101 (2025) - [i26]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:
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. CoRR abs/2507.14758 (2025) - [i25]Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Körpeoglu, Kannan Achan:
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. CoRR abs/2507.17080 (2025) - [i24]Akshay Kekuda, Murali Mohana Krishna Dandu, Rimita Lahiri, Shiqin Cai, Sinduja Subramaniam, Evren Körpeoglu, Kannan Achan:
Grocery to General Merchandise: A Cross-Pollination Recommender using LLMs and Real-Time Cart Context. CoRR abs/2509.02890 (2025) - [i23]Vahid Mirjalili, Ramin Giahi, Sriram Kollipara, Akshay Kekuda, Kehui Yao, Kai Zhao, Jianpeng Xu, Kaushiki Nag, Sinduja Subramaniam, Topojoy Biswas, Evren Körpeoglu, Kannan Achan:
Spatial Reasoning in Foundation Models: Benchmarking Object-Centric Spatial Understanding. CoRR abs/2509.21922 (2025) - [i22]Zezhong Fan, Xiaohan Li, Luyi Ma, Kai Zhao, Liang Peng, Topojoy Biswas, Evren Körpeoglu, Kaushiki Nag, Kannan Achan:
LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning. CoRR abs/2509.22720 (2025) - [i21]Tao Zhang, Kehui Yao, Luyi Ma, Jiao Chen, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
No-Human in the Loop: Agentic Evaluation at Scale for Recommendation. CoRR abs/2511.03051 (2025) - 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 2025-11-29 01:09 CET by the dblp team
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