I am a second-year Ph.D. student in DEEP Lab at The Hong Kong Polytechnic University, Department of Computing, supervised by Dr. Xiao Huang. I received M.S. from The Hong Kong Polytechnic University, Department of Applied Mathematics in 2022 and B.S. from East China Normal University, Department of Software Engineering in 2020, supervised by Dr. Xiaoling Wang.

Before my Ph.D. study, I explored different roles in the industry and worked as a test/algorithm/research intern in Morgan Stanley/Bilibili/TCL Corporate Research, respectively. I was aware of my desire to pursue a Ph.D. degree in these internships and ready to begin the trip.

Publications

2024

• 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
  TheWebConf (WWW).

2023

• Collaborative Parking Vacancy Prediction for Cities with Partial Sensors Missing.
  Beiyu Song, Huachi Zhou, Xiao Huang, Wei Ma
  Transactions on Intelligent Transportation Systems (TITS).

• Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation.
  Shuang Zhou, Xiao Huang, Ninghao, Liu, Huachi Zhou, Fu-lai Chung, Long-Kai Huang
  Transactions on Knowledge and Data Engineering (TKDE).

• Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering.
  Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang
  ACM International Conference on Research and Development in Information Retrieval (SIGIR).

• Interest Driven Graph Structure Learning for Session-based Recommendation.
  Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD).

2022

• Consistent and Non-Redundant Knowledge Graph Construction for Interactive Education.
  Wentao Li, Huachi Zhou, Junnan Dong, Qinggang Zhang, Qing Li, George Baciu, Jiannong Cao and Xiao Huang
  International Conference on Web-Based Learning (ICWL).

• 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
  ACM International Conference on Information and Knowledge Management (CIKM).

2021

• Temporal augmented graph neural networks for session-based recommendations.
  Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang
  ACM International Conference on Research and Development in Information Retrieval (SIGIR).

2020

• Low rank communication for federated learning.
  Huachi Zhou, Junhong Cheng, Xiangfeng Wang, Bo Jin
  Database Systems for Advanced Applications (DASFAA Workshop).