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 001; Li Yi; Yu Ding; Guihai Chen; Yihua Huang 001 (ICDE, 2022)

AutoGSR: Neural Architecture Search for Graph-based Session Recommendation. - Jingfan Chen; Guanghui Zhu; Haojun Hou; Chunfeng Yuan; Yihua Huang 001 (SIGIR, 2022)

Transition Relation Aware Self-Attention for Session-based Recommendation. - Guanghui Zhu; Haojun Hou; Jingfan Chen; Chunfeng Yuan; Yihua Huang 001 (CoRR, 2022)

STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting. - Guanghui Zhu; Haojun Hou; Peiliang Wang; Chunfeng Yuan; Yihua Huang 001 (ICDM, 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 001; Kai Zhang; Bin Fan; Haojun Hou; Li Yi; Yu Ding; Yihua Huang 001; Guihai Chen (IEEE Trans. Parallel Distributed Syst., 2023)

Mining Long Short-Term Evolution Patterns for Temporal Knowledge Graph Reasoning. - Fengyi Wang; Guanghui Zhu; Haojun Hou; Chunfeng Yuan; Yihua Huang 001 (ICPR (4), 2024)