Temporal Heterogeneous Information Network Embedding. - Hong Huang 001; Ruize Shi; Wei Zhou; Xiao Wang 017; Hai Jin 001; Xiaoming Fu 001 (IJCAI, 2021)

Temporal Heterogeneous Information Network Embedding via Semantic Evolution. - Wei Zhou; Hong Huang 001; Ruize Shi; Xiran Song; Xue Lin 005; Xiao Wang 017; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2023)

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs. - Wei Zhou; Hong Huang 001; Ruize Shi; Kehan Yin; Hai Jin 001 (AAAI, 2024)

Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification. - Ruize Shi; Hong Huang 001; Kehan Yin; Wei Zhou; Hai Jin 001 (KDD, 2024)

OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework. - Wei Zhou; Hong Huang 001; Guowen Zhang; Ruize Shi; Kehan Yin; Yuanyuan Lin; Bang Liu (CoRR, 2024)

From General to Specific: Tailoring Large Language Models for Personalized Healthcare. - Ruize Shi; Hong Huang 001; Wei Zhou; Kehan Yin; Kai Zhao; Yun Zhao (CoRR, 2024)

Efficient Learning for Billion-Scale Heterogeneous Information Networks. - Ruize Shi; Hong Huang 001; Xue Lin 005; Kehan Yin; Wei Zhou; Hai Jin 001 (IEEE Trans. Big Data, 2025)