Currently, I am a first-year Ph.D student in the AML Lab at the School of Data Science, City University of Hong Kong. Before this, I earned my Master’s degree at CityU under the supervision of Prof. Zhao Xiangyu. I also obtained my Bachelor’s degree in Robotics Engineering from Southeast University, where Prof. Gan Yahui and Prof. Li Jun co-supervised me.
My research interest includes Recommender Systems, Information Retrieval and LLM. I have published several papers at the top international AI conferences with total Google Scholar citations.
🏷️ Service
Journals
- IEEE Transactions on Knowledge and Data Engineering (TKDE).
- ACM Transactions on Knowledge Discovery from Data (TKDD).
- ACM Transactions on Information Systems (TOIS).
Conference
- ACM International Conference on Multimedia (MM’2026 main track and DB track).
- ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2026).
- AAAI Association for the Advanced Artificial Intelligence (AAAI’2026 main track and AIA track).
- ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2025).
- ACM Conference on Recommender Systems (Recsys’2025).
🔥 News
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2026.05.17 Our Tutorial “Tutorial on Generative Recommendation: Foundations and Frontiers” is accepted by KDD’26. Great thanks for Xiaopeng for carrying me!
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2026.05.17 Our Paper H2Rec is accepted by KDD’26 ADS Track (CCF-A), which has been applied to Red Book (Xiao Hong Shu) and achieved commercial outcomes (ADVV + 0.89% and COST +0.59%). Great thanks for help and suggestion from Bro Yejing and Qidong!
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2026.05.11 Our New Paper ComeIR is preprinted on Arxiv, which identify the bottleneck of the current decoupled two stage GR framework and leverage the engram memory for better GR input and decoding.
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2026.04.03 Our Paper LLM-EDT is accepted by SIGIR’26 (CCF-A). Thanks for help and guidance from Bro Qidong and Yejing!
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2026.01.14 One Paper got accepted by WWW’26 (CCF-A). Thank Bro Yejing for carrying me!**
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2025.12.11 Our New paper H^2Rec is preprinted on Arxiv, which harmonizing the semantic IDs with Hash IDs to address the collaborative overwhelming problem.
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2025.11.19 Our New paper LLM-EDT is preprinted on Arxiv, which propose a general cross-domain sequential recommender addressing the imbalance domain issue and Rough profiling Issue.
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2025.01: 🎉🎉 I have received the Traval Award from AAAI’2025.
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2024.12: 🎉🎉 Our paper SIGMA: Selective Gated Mamba for Sequential Recommendation is accepted by AAAI’2025 (CCF-A). Sincerely thank Bro Qidong for leading the way.
📝 Publications
Preprint: Conditional Memory Enhanced Item Representation for Generative Recommendation
SIGKDD’2026 ADS (CCF-A): The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
SIGIR’2026 (CCF-A): LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
AAAI’2025 (CCF-A): SIGMA: Selected Gated Mamba for Sequential Recommendation
🎖 Honors and Awards
- 2025.01 AAAI’2025 Travel Award and Volunteer.
- 2024.12 Silver Medal in Kaggle (2024): LLM Prompt Recovery (44/2175).
- 2023.06 Excellent Graduation Project of Southeast University.
📖 Educations
- 2025.09 - now, Ph.D., Data Science, City University of Hong Kong.
- 2023.09 - 2024.10, M.E., Data Science, City University of Hong Kong.
- 2019.09 - 2023.06, B.E., Robotics Engineering, Southeast University.
💬 Tutorial
- 2026.08, KDD’2026 (CCF-A), Tutorial on Generative Recommendation: Foundations and Frontiers (https://github.com/Kuaishou-RecModel/Tri-Decoupled-GenRec)
- 2025.08, KDD’2025 (CCF-A), Large language model enhanced recommender systems: Taxonomy, trend, application and future (https://github.com/liuqidong07/Awesome-LLM-Enhanced-Recommender-Systems)
💻 Internships
- 2024.05 - 2024.12, Research Assistant, Chinese University of Hong Kong (Shenzhen), China.