Forecasting Inter-Destination Tourism Flow via a Hybrid Deep Learning Model. - Hanxi Fang; Song Gao; Feng Zhang (CoRR, 2023)

Demonstration of ElasticNotebook: Migrating Live Computational Notebook States. - Zhaoheng Li; Supawit Chockchowwat; Hanxi Fang; Ribhav Sahu; Sumay Thakurdesai; Kantanat Pridaphatrakun; Yongjoo Park (SIGMOD Conference Companion, 2024)

Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study. - Danlei Hu; Lu Chen 001; Hanxi Fang; Ziquan Fang; Tianyi Li 005; Yunjun Gao (IEEE Trans. Knowl. Data Eng., 2024)

Estimator: An Effective and Scalable Framework for Transportation Mode Classification Over Trajectories. - Danlei Hu; Ziquan Fang; Hanxi Fang; Tianyi Li 005; Chunhui Shen; Lu Chen 001; Yunjun Gao (IEEE Trans. Intell. Transp. Syst., 2024)

Enhancing Computational Notebooks with Code+Data Space Versioning. - Hanxi Fang; Supawit Chockchowwat; Hari Sundaram; Yongjoo Park (CHI, 2025)

Large-scale Evaluation of Notebook Checkpointing with AI Agents. - Hanxi Fang; Supawit Chockchowwat; Hari Sundaram; Yongjoo Park (CHI Extended Abstracts, 2025)

Demo of Kishu: Time-Traveling for Computational Notebooks. - Zhaoheng Li; Supawit Chockchowwat; Hanxi Fang; Yongjoo Park (SIGMOD Conference Companion, 2025)