Low Rank Communication for Federated Learning. - Huachi Zhou; Junhong Cheng; Xiangfeng Wang; Bo Jin 003 (DASFAA (Workshops), 2020)

Temporal Augmented Graph Neural Networks for Session-Based Recommendations. - Huachi Zhou; Qiaoyu Tan; Xiao Huang 001; Kaixiong Zhou; Xiaoling Wang (SIGIR, 2021)

Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction. - Huachi Zhou; Jiaqi Fan; Xiao Huang 001; Ka Ho Li; Zhenyu Tang; Dahai Yu (CIKM, 2022)

Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education. - Wentao Li; Huachi Zhou; Junnan Dong; Qinggang Zhang; Qing Li 001; George Baciu; Jiannong Cao 001; Xiao Huang 001 (ICWL, 2022)

Interest Driven Graph Structure Learning for Session-Based Recommendation. - Huachi Zhou; Shuang Zhou 012; Keyu Duan; Xiao Huang 001; Qiaoyu Tan; Zailiang Yu (PAKDD (3), 2023)

Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. - Huachi Zhou; Hao Chen 062; Junnan Dong; Daochen Zha; Chuang Zhou 002; Xiao Huang 001 (SIGIR, 2023)

Towards Personalized Cold-Start Recommendation with Prompts. - Xuansheng Wu; Huachi Zhou; Wenlin Yao; Xiao Huang 001; Ninghao Liu (CoRR, 2023)

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. - Shuang Zhou 012; Xiao Huang 001; Ninghao Liu; Huachi Zhou; Fu-Lai Chung; Long-Kai Huang (IEEE Trans. Knowl. Data Eng., 2023)

Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering. - Junnan Dong; Qinggang Zhang; Huachi Zhou; Daochen Zha; Pai Zheng; Xiao Huang 001 (ACL (1), 2024)

Enhancing Explainable Rating Prediction through Annotated Macro Concepts. - Huachi Zhou; Shuang Zhou 012; Hao Chen 062; Ninghao Liu; Fan Yang 023; Xiao Huang 001 (ACL (1), 2024)

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. - Xuansheng Wu; Huachi Zhou; Yucheng Shi; Wenlin Yao; Xiao Huang 001; Ninghao Liu (WWW, 2024)

Collaborative Parking Vacancy Prediction for Cities With Partial Sensors Missing. - Beiyu Song; Huachi Zhou; Xiao Huang 001; Wei Ma (IEEE Trans. Intell. Transp. Syst., 2024)

Each graph is a new language: Graph Learning with LLMs. - Huachi Zhou; Jiahe Du; Chuang Zhou 002; Chang Yang; Yilin Xiao 002; Yuxuan Xie; Xiao Huang 001 (ACL (Findings), 2025)

Text-Attributed Graph Learning with Coupled Augmentations. - Chuang Zhou 002; Jiahe Du; Huachi Zhou; Hao Chen 062; Feiran Huang; Xiao Huang 001 (COLING, 2025)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models. - Qinggang Zhang; Shengyuan Chen; Yuanchen Bei; Zheng Yuan; Huachi Zhou; Zijin Hong; Junnan Dong; Hao Chen 062; Yi Chang; Xiao Huang 001 (CoRR, 2025)

LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval. - Luyao Zhuang; Qinggang Zhang; Huachi Zhou; Juhua Liu; Qing Li 001; Xiao Huang 001 (CoRR, 2025)