Robust Classification of Curvilinear and Surface-Like Structures in 3d Point Cloud Data. - Mahsa Kamali; Matei Stroila; Jason Cho 001; Eric Shaffer; John C. Hart (ISVC (1), 2011)

Aggregating Personal Health Messages for Scalable Comparative Effectiveness Research. - Jason H. D. Cho; Q. Vera Liao; Yunliang Jiang; Bruce R. Schatz (BCB, 2013)

Utilizing Smartphones to Enhance Urine Strip Test Accessibility. - Jason H. D. Cho; Jacob Guggenheim; Elizabeth Arcan; Hannah Friedman; Shravan Gupta; Joyce K. Thomas; Deana McDonagh; Bruce R. Schatz (AMIA, 2014)

Resolving healthcare forum posts via similar thread retrieval. - Jason H. D. Cho; Parikshit Sondhi; Chengxiang Zhai; Bruce R. Schatz (BCB, 2014)

Local Learning for Mining Outlier Subgraphs from Network Datasets. - Manish Gupta 001; Arun Mallya; Subhro Roy; Jason H. D. Cho; Jiawei Han 001 (SDM, 2014)

Recommending forum posts to designated experts. - Jason H. D. Cho; Yanen Li; Roxana Girju; Chengxiang Zhai (IEEE BigData, 2015)

Understanding User Intents in Online Health Forums. - Thomas Zhang; Jason H. D. Cho; Chengxiang Zhai (IEEE J. Biomed. Health Informatics, 2015)

Why patients in online communities report not taking SSRIs. - Jason H. D. Cho; Marina Shah; Roxana Girju (AMIA, 2016)

Identifying Medications that Patients Stopped Taking in Online Health Forums. - Jason H. D. Cho; Tony Gao; Roxana Girju (ICSC, 2017)

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

Personalizing Item Recommendation via Price Understanding. - Soumya Wadhwa; Ashish Ranjan; Selene Xu; Jason H. D. Cho; Sushant Kumar; Kannan Achan (ComplexRec-ImpactRS@RecSys, 2020)

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

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)

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)

Seller-side Outcome Fairness in Online Marketplaces. - Zikun Ye; Reza Yousefi Maragheh; Lalitesh Morishetti; Shanu Vashishtha; Jason Cho 001; Kaushiki Nag; Sushant Kumar; Kannan Achan (CoRR, 2023)

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)

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)

Latent Customer Segmentation and Value-Based Recommendation Leveraging a Two-Stage Model with Missing Labels. - Keerthi Gopalakrishnan; Tianning Dong; Chia-Yen Ho; Yokila Arora; Topojoy Biswas; Jason Cho 001; Sushant Kumar; Kannan Achan (WWW (Companion Volume), 2025)

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)

LLM-driven Constrained Copy Generation through Iterative Refinement. - Varun Vasudevan; Faezeh Akhavizadegan; Abhinav Prakash; Yokila Arora; Jason H. D. Cho; Tanya Mendiratta; Sushant Kumar; Kannan Achan (CoRR, 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)

ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation. - Reza Yousefi Maragheh; Pratheek Vadla; Priyank Gupta; Kai Zhao; Aysenur Inan; Kehui Yao; Jianpeng Xu; Praveenkumar Kanumala; Jason H. D. Cho; Sushant Kumar (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)