LncRNA-disease association prediction based on neighborhood information aggregation in neural network. - Hongjie Chen 003; Xun Wang 010; Xuan Zhang 010; Xiangxiang Zeng; Tao Song 001; Alfonso Rodríguez-Patón (BIBM, 2018)

A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Hoda Eldardiry (CoRR, 2020)

Graph Deep Factors for Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (CoRR, 2020)

Context Integrated Relational Spatio-Temporal Resource Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Hoda Eldardiry (IEEE BigData, 2021)

Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (KDD, 2021)

Hypergraph Neural Networks for Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (IEEE Big Data, 2023)

Graph Deep Factors for Probabilistic Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (ACM Trans. Knowl. Discov. Data, 2023)

LIVE-ITS: LSH-based Interactive Visualization Explorer for Large-Scale Incomplete Time Series. - Hongjie Chen 003; Aaron D. Beachnau; Panos Thomas; Pranav Maneriker; Josh Kimball; Ryan A. Rossi (IEEE Big Data, 2024)

A Study of Foundation Models for Large-scale Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Hoda Eldardiry (IEEE Big Data, 2024)

Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Hoda Eldardiry (PAKDD (6), 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (CoRR, 2024)

Graph Time-series Modeling in Deep Learning: A Survey. - Hongjie Chen 003; Hoda Eldardiry (ACM Trans. Knowl. Discov. Data, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (ACL (Findings), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

A Quantitative Metric Selection Approach for Time-series Forecasting Foundation Models. - Hongjie Chen 003; Akshay Mehra; Josh Kimball; Sungchul Kim (ICASSP, 2025)

Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Hoda Eldardiry (KDD (1), 2025)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

Efficient Model Selection for Time Series Forecasting via LLMs. - Wang Wei; Tiankai Yang 001; Hongjie Chen 003; Ryan A. Rossi; Yue Zhao 016; Franck Dernoncourt; Hoda Eldardiry (CoRR, 2025)

Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition. - Mayank Bumb; Anshul Vemulapalli; Sri Harsha Vardhan Prasad Jella; Anish Gupta; An La; Ryan A. Rossi; Hongjie Chen 003; Franck Dernoncourt; Nesreen K. Ahmed; Yu Wang 160 (CoRR, 2025)

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. - Mohamed Elmoghany; Ryan A. Rossi; Seunghyun Yoon 002; Subhojyoti Mukherjee; Eslam Mohamed Bakr; Puneet Mathur; Gang Wu 013; Viet Dac Lai; Nedim Lipka; Ruiyi Zhang 002; Varun Manjunatha; Chien Van Nguyen; et al. (CoRR, 2025)

Measuring Time-Series Dataset Similarity using Wasserstein Distance. - Hongjie Chen 003; Akshay Mehra; Josh Kimball; Ryan A. Rossi (CoRR, 2025)