Jiangyi Fang

According to our database, Jiangyi Fang authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Effective Online 3D Bin Packing with Lookahead Parcels Using Monte Carlo Tree Search.

Jiangyi Fang, Bowen Zhou, Haotian Wang, Xin Zhu, Leye Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

UCTB: an urban computing tool box for all-in-one spatiotemporal prediction solution.

Jiangyi Fang, Liyue Chen, Di Chai, Yayao Hong, Xiuhuai Xie, Longbiao Chen, Leye Wang

CCF Trans. Pervasive Comput. Interact., December, 2025

STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models.

Liyue Chen, Jiangyi Fang, Tengfei Liu, Fangyuan Gao, Leye Wang

CoRR, January, 2025

Effective AOI-level Parcel Volume Prediction: When Lookahead Parcels Matter.

Yinfeng Xiang, Jiangyi Fang, Chao Li, Haitao Yuan, Yiwei Song, Jiming Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

STErrorCopilot: A Visualization and Diagnosis Copilot on Traffic Forecasting Models.

Xiuhuai Xie, Yayao Hong, Jiangyi Fang, Liyue Chen, Leye Wang, Zhengquan Li, Guofeng Luo, Cheng Wang, Longbiao Chen

Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units.

Liyue Chen, Jiangyi Fang, Tengfei Liu, Shaosheng Cao, Leye Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services.

Jiangyi Fang, Liyue Chen, Di Chai, Yayao Hong, Xiuhuai Xie, Longbiao Chen, Leye Wang

Proceedings of the IEEE International Conference on Software Services Engineering, 2024

2023

A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management.

Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023