Huachi Zhou

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Structure Learning

Question Answering

Top Venues

DASFAA (Workshops)

Publications

Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. WWW (2024)
Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering. ACL (1) (2024)
Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang
Enhancing Explainable Rating Prediction through Annotated Macro Concepts. ACL (1) (2024)
Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering. CoRR (2024)
Xuansheng Wu, Huachi Zhou, Wenlin Yao, Xiao Huang, Ninghao Liu
Towards Personalized Cold-Start Recommendation with Prompts. CoRR (2023)
Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
Interest Driven Graph Structure Learning for Session-Based Recommendation. PAKDD (3) (2023)
Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. SIGIR (2023)
Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. CoRR (2023)
Wentao Li, Huachi Zhou, Junnan Dong, Qinggang Zhang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang
Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education. ICWL (2022)
Huachi Zhou, Jiaqi Fan, Xiao Huang, Ka Ho Li, Zhenyu Tang, Dahai Yu
Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction. CIKM (2022)
Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang
Temporal Augmented Graph Neural Networks for Session-Based Recommendations. SIGIR (2021)
Huachi Zhou, Junhong Cheng, Xiangfeng Wang, Bo Jin
Low Rank Communication for Federated Learning. DASFAA (Workshops) (2020)