A private contributions game for joint replenishment. - Evren Körpeoglu; Alper Sen 002; Kemal Güler (Math. Methods Oper. Res., 2012)

Non-cooperative joint replenishment under asymmetric information. - Evren Körpeoglu; Alper Sen 002; Kemal Güler (Eur. J. Oper. Res., 2013)

Multi-period supplier selection under price uncertainty. - Alper Sen 002; Hande Yaman; Kemal Güler; Evren Körpeoglu (J. Oper. Res. Soc., 2014)

Design and analysis of mechanisms for decentralized joint replenishment. - Kemal Güler; Evren Körpeoglu; Alper Sen 002 (Eur. J. Oper. Res., 2017)

Newsvendor competition under asymmetric cost information. - Kemal Güler; Evren Körpeoglu; Alper Sen 002 (Eur. J. Oper. Res., 2018)

Generative Graph Convolutional Network for Growing Graphs. - Da Xu; Chuanwei Ruan; Kamiya Motwani; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICASSP, 2019)

Self-attention with Functional Time Representation Learning. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (NeurIPS, 2019)

Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (CoRR, 2019)

Inductive representation learning on temporal graphs. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICLR, 2020)

Adversarial Counterfactual Learning and Evaluation for Recommender System. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (NeurIPS, 2020)

Knowledge-aware Complementary Product Representation Learning. - Da Xu; Chuanwei Ruan; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (WSDM, 2020)

Product Knowledge Graph Embedding for E-commerce. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (WSDM, 2020)

GAN-based Recommendation with Positive-Unlabeled Sampling. - Yao Zhou; Jianpeng Xu; Jun Wu 019; Zeinab Taghavi Nasrabadi; Evren Körpeoglu; Kannan Achan; Jingrui He (CoRR, 2020)

NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. - Luyi Ma; Jianpeng Xu; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (IEEE BigData, 2021)

A Temporal Kernel Approach for Deep Learning with Continuous-time Information. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICLR, 2021)

Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICML, 2021)

Towards the D-Optimal Online Experiment Design for Recommender Selection. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (KDD, 2021)

PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. - Yao Zhou; Jianpeng Xu; Jun Wu 019; Zeinab Taghavi Nasrabadi; Evren Körpeoglu; Kannan Achan; Jingrui He (KDD, 2021)

Theoretical Understandings of Product Embedding for E-commerce Machine Learning. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (WSDM, 2021)

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. - Reza Yousefi Maragheh; Ramin Giahi; Jianpeng Xu; Lalitesh Morishetti; Shanu Vashishtha; Kaushiki Nag; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (IEEE Big Data, 2022)

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. - Da Xu; Yuting Ye; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICLR, 2022)

Causal Structure Learning with Recommendation System. - Shuyuan Xu; Da Xu; Evren Körpeoglu; Sushant Kumar; Stephen D. Guo; Kannan Achan; Yongfeng Zhang (CoRR, 2022)

Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. - Najmeh Forouzandehmehr; Yijie Cao; Nikhil Thakurdesai; Ramin Giahi; Luyi Ma; Nima Farrokhsiar; Jianpeng Xu; Evren Körpeoglu; Kannan Achan (IEEE Big Data, 2023)

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. - Luyi Ma; Nikhil Thakurdesai; Jiao Chen 005; Jianpeng Xu; Evren Körpeoglu; Sushant Kumar; Kannan Achan (IEEE Big Data, 2023)

LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models. - 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 (IEEE Big Data, 2023)

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. - Ramin Giahi; Reza Yousefi Maragheh; Nima Farrokhsiar; Jianpeng Xu; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICDM (Workshops), 2023)

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. - Jiao Chen 005; Luyi Ma; Xiaohan Li 001; Nikhil Thakurdesai; Jianpeng Xu; Jason H. D. Cho; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (CoRR, 2023)

Workshop on Generative AI for E-commerce. - Mansi Ranjit Mane; Djordje Gligorijevic; Dingxian Wang; Behzad Shahrasbi; Topojoy Biswas; Evren Körpeoglu; Marios Savvides (CIKM, 2024)

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. - Chenhao Fang; Xiaohan Li 001; Zezhong Fan; Jianpeng Xu; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (SIGIR, 2024)

Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference. - Najmeh Forouzandehmehr; Nima Farrokhsiar; Ramin Giahi; Evren Körpeoglu; Kannan Achan (CoRR, 2024)

Relation labeling in product knowledge graphs with large language models for e-commerce. - Jiao Chen 005; Luyi Ma; Xiaohan Li 001; Jianpeng Xu; Jason H. D. Cho; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (Int. J. Mach. Learn. Cybern., 2024)

ROSI: A hybrid solution for omni-channel feature integration in E-commerce. - Luyi Ma; Shengwei Tang; Anjana Ganesh; Jiao Chen 005; Aashika Padmanabhan; Malay Patel; Jianpeng Xu; Jason Cho 001; Evren Körpeoglu; Sushant Kumar; Kannan Achan (Data Knowl. Eng., 2025)

CARTS: Collaborative Agents for Recommendation Textual Summarization. - Jiao Chen 005; Kehui Yao; Reza Yousefi Maragheh; Kai Zhao; Jianpeng Xu; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (CoRR, 2025)

CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design. - Najmeh Forouzandehmehr; Reza Yousefi Maragheh; Sriram Kollipara; Kai Zhao; Topojoy Biswas; Evren Körpeoglu; Kannan Achan (CoRR, 2025)

S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe. - Yanan Cao; Omid Memarrast; Shiqin Cai; Sinduja Subramaniam; Evren Körpeoglu; Kannan Achan (CoRR, 2025)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. - Luyi Ma; Wanjia Zhang; Kai Zhao; Abhishek Kulkarni; Lalitesh Morishetti; Anjana Ganesh; Ashish Ranjan; Aashika Padmanabhan; Jianpeng Xu; Jason Cho 001; Praveenkumar Kanumala; Kaushiki Nag; et al. (CoRR, 2025)

VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. - Ramin Giahi; Kehui Yao; Sriram Kollipara; Kai Zhao; Vahid Mirjalili; Jianpeng Xu; Topojoy Biswas; Evren Körpeoglu; Kannan Achan (CoRR, 2025)