Jiahao Ji

According to our database, Jiahao Ji authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction.

Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang

CoRR, 2024

2023

Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields.

Jingyuan Wang, Jiahao Ji, Zhe Jiang, Leilei Sun

IEEE Trans. Knowl. Data Eng., September, 2023

Self-Supervised Deconfounding Against Spatio-Temporal Shifts: Theory and Modeling.

Jiahao Ji, Wentao Zhang, Jingyuan Wang, Yue He, Chao Huang

CoRR, 2023

Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning.

Jiahao Ji, Jingyuan Wang, Yu Mou, Cheng Long

CoRR, 2023

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction.

Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DialCSP: A Two-Stage Attention-Based Model for Customer Satisfaction Prediction in E-commerce Customer Service.

Zhenhe Wu, Liangqing Wu, Shuangyong Song, Jiahao Ji, Bo Zou, Zhoujun Li, Xiaodong He

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning.

Jiahao Ji, Jingyuan Wang, Junjie Wu, Boyang Han, Junbo Zhang, Yu Zheng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction.

Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Primary Categorizing and Masking Cerebral Small Vessel Disease Based on "Deep Learning System".

Yunyun Duan, Wei Shan, Liying Liu, Qun Wang, Zhenzhou Wu, Pan Liu, Jiahao Ji, Yaou Liu, Kunlun He, Yongjun Wang

Frontiers Neuroinformatics, 2020

Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields.

Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, Hu Zhang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020