Haojun Hou

According to our database, Haojun Hou authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

Mining Long Short-Term Evolution Patterns for Temporal Knowledge Graph Reasoning.

Fengyi Wang, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms.

Rong Gu, Zhihao Xu, Yang Che, Xu Wang, Haipeng Dai, Kai Zhang, Bin Fan, Haojun Hou, Li Yi, Yu Ding, Yihua Huang, Guihai Chen

IEEE Trans. Parallel Distributed Syst., November, 2023

STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting.

Guanghui Zhu, Haojun Hou, Peiliang Wang, Chunfeng Yuan, Yihua Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Transition Relation Aware Self-Attention for Session-based Recommendation.

Guanghui Zhu, Haojun Hou, Jingfan Chen, Chunfeng Yuan, Yihua Huang

CoRR, 2022

AutoGSR: Neural Architecture Search for Graph-based Session Recommendation.

Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs.

Rong Gu, Kai Zhang, Zhihao Xu, Yang Che, Bin Fan, Haojun Hou, Haipeng Dai, Li Yi, Yu Ding, Guihai Chen, Yihua Huang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022