Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries. - Luyi Ma; Jason H. D. Cho; Sushant Kumar; Kannan Achan (IEEE BigData, 2019)

Conical traveling fronts of combustion equations in R3. - Zhen-Hui Bu; Luyi Ma; Zhi-Cheng Wang (Appl. Math. Lett., 2020)

Event-based Product Carousel Recommendation with Query-Click Graph. - Luyi Ma; Nimesh Sinha; Parth Vajge; Jason H. D. Cho; Sushant Kumar; Kannan Achan (IEEE BigData, 2021)

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)

Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. - Xiaohan Li 001; Zheng Liu 017; Luyi Ma; Kaushiki Nag; Stephen D. Guo; Philip S. Yu; Kannan Achan (IEEE Big Data, 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)

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)

Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning. - Xiaohan Li 001; Zezhong Fan; Luyi Ma; Kaushiki Nag; Kannan Achan (IEEE Big Data, 2024)

Improving Sequential Recommender Systems with Online and In-store User Behavior. - Luyi Ma; Aashika Padmanabhan; Anjana Ganesh; Shengwei Tang; Jiao Chen 005; Xiaohan Li 001; Lalitesh Morishetti; Kaushiki Nag; Malay Patel; Jason H. D. Cho; Sushant Kumar; Kannan Achan (IEEE Big Data, 2024)

3rd International Workshop on Industrial Recommendation Systems (IRS). - Luyi Ma; Xiaohan Li 001; Kamilia Ahmadi; Jianpeng Xu; Philip S. Yu; George Karypis (CIKM, 2024)

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations. - Luyi Ma; Xiaohan Li 001; Zezhong Fan; Jianpeng Xu; Jason H. D. Cho; Praveenkumar Kanumala; Kaushiki Nag; Sushant Kumar; Kannan Achan (CoRR, 2024)

Personalized diversification of complementary recommendations with user preference in online grocery. - Luyi Ma; Nimesh Sinha; Jason H. D. Cho; Sushant Kumar; Kannan Achan (Frontiers Big Data, 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)

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)

The spreading phenomenon of solutions for reaction-diffusion equations with fractional Laplacian. - Luyi Ma; Hong-Tao Niu; Zhi-Cheng Wang (Appl. Math. Lett., 2026)