| 2026 | AAAI | LLM Collaborative Filtering: User-Item Graph as New Language. | Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Qijie Shen, Feiran Huang, Xiao Huang |
| 2026 | WWW | LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval. | Luyao Zhuang, Qinggang Zhang, Huachi Zhou, Yujing Zhang, Xiao Huang |
| 2025 | ACL | Each graph is a new language: Graph Learning with LLMs. | Huachi Zhou, Jiahe Du, Chuang Zhou, Chang Yang, Yilin Xiao, Yuxuan Xie, Xiao Huang |
| 2025 | COLING | Text-Attributed Graph Learning with Coupled Augmentations. | Chuang Zhou, Jiahe Du, Huachi Zhou, Hao Chen, Feiran Huang, Xiao Huang |
| 2024 | ACL | 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 |
| 2024 | ACL | Enhancing Explainable Rating Prediction through Annotated Macro Concepts. | Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang |
| 2024 | WWW | Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. | Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu |
| 2023 | PAKDD | Interest Driven Graph Structure Learning for Session-Based Recommendation. | Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu |
| 2023 | SIGIR | Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. | Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang |
| 2022 | CIKM | Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction. | Huachi Zhou, Jiaqi Fan, Xiao Huang, Ka Ho Li, Zhenyu Tang, Dahai Yu |
| 2021 | SIGIR | Temporal Augmented Graph Neural Networks for Session-Based Recommendations. | Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang |
| 2020 | DASFAA | Low Rank Communication for Federated Learning. | Huachi Zhou, Junhong Cheng, Xiangfeng Wang, Bo Jin |