I am a fourth-year Ph.D. student at KTL Lab, School of Artificial Intelligence, Beihang University, advised by Prof. Fuzhen Zhuang.

My research focuses on Recommender Systems. Specifically, I work on:

• ⭐ Causal Inference for Recommendation. Integrating causal inference techniques (e.g., counterfactual reasoning, causal structure modeling) into recommendation models to mitigate spurious correlations and improve accuracy, robustness, and interpretability.

• 🌐 Multi-Domain Recommendation. Designing knowledge-transfer mechanisms for platforms with multiple exposure scenarios to reduce development and maintenance costs and improve performance.

• 🧩 Multi-Task Recommendation. Developing cross-task interactions and conflict-mitigation mechanisms to avoid negative transfer and achieve better overall performance when optimizing multiple objectives (e.g., click, dwell time, conversion).

• 🎯 Feature Selection for Recommendation. Developing algorithms to identify essential signals and suppress redundancies among large numbers of input features in large-scale recommender systems.

Education

• Sep 2022 – Present Ph.D., Artificial Intelligence, Beihang University, Beijing, China.
• Sep 2018 – Jun 2022 B.S., Robotics Engineering, Beihang University, Beijing, China.

News

• 08.2025 🎉 One paper got accepted by CIKM 2025.

Papers

• [The Innovation 2024] A Survey on Causal Inference for Recommendation
  Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang, Zhulin An, Yongjun Xu
  Paper/Code

• [SIGIR 2025] CDC: Causal Domain Clustering for Multi-Domain Recommendation
  Huishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang
  Paper/Code

• [AAAI 2025] One for Dozens: Adaptive Recommendation for All Domains with Counterfactual Augmentation
  Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang
  Paper/Code

• [CIKM 2025, short] ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling
  Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
  Paper/Code

• [KDD 2025] Measure Domain’s Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
  Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao
  Paper/Code

Honors and Awards

• 2025 China National Scholarship (国家奖学金).
• 2025 Merit Student of Beihang University (北京航空航天大学三好学生).
• 2024 Merit Student of Beihang University (北京航空航天大学三好学生).
• 2023 Beihang University Academic Excellence Scholarship (First Class) (北京航空航天大学学业优秀一等奖学金).
• 2023 Merit Student of Beihang University (北京航空航天大学三好学生).
• 2022 Beihang University Academic Excellence Scholarship (First Class) (北京航空航天大学学业优秀一等奖学金).
• 2022 Excellent Graduate of Beihang University (北京航空航天大学优秀毕业生).
• 2020&2021 National Encouragement Scholarship (国家励志奖学金).
• 2019&2020&2021 Merit Student of Beihang University (校级优秀生, Top 5%).
• 2019&2021 Beihang University Academic Competition Scholarship (First Class) (北京航空航天大学学科竞赛奖学金一等奖).
• 2021 Beihang University Social Work Scholarship (Special Award) (北京航空航天大学社会工作奖学金特等奖).
• 2019&2020&2021 Outstanding Volunteer of Beihang University (北京航空航天大学校级优秀志愿者，连续三年).