😊 About me

Hello! I am currently an Assistant Professor in the College of Computer Science and Software Engineering at Shenzhen University. I received my Ph.D. in Computer Science and Technology from Hunan University in 2025, under the supervision of Prof. Guoqing Xiao and Prof. Kenli Li. Prior to that, I received my Master’s degree in 2021 under the supervision of Prof. Wenjun Jiang, and my Bachelor’s degree in 2018, both from Hunan University. From 2022 to 2024, I was a visiting Ph.D. student at Nanyang Technological University, supervised by Prof. Gao Cong.

My current research focuses on recommendation systems, especially on serendipity and diversity, aiming to enhance long-term user experience. Moving forward, my work will focus on the following areas:

• Multi-objective Recommendation. Exploring methods to improve diversity, fairness, and serendipity in recommendation systems while preserving accuracy.
• Multi-modal Recommendation. Incorporating multimodal features—especially speech signals—to enrich user and item representations.
• Generative Recommendation. Leveraging generative models (e.g., diffusion models, large language models) to simulate user behavior, augment data, and enable controllable recommendation generation.

🔥 News

📢 Join My Group

I actively welcome motivated undergraduate students at SZU to join my research group. Most students will be involved in collaborations with the following researchers:

• Dr. Jiawei Wang – Postdoctoral Research Fellow at the NExT++ Lab, National University of Singapore. His research focuses on LLM, and we work together on agent-based recommendation systems.
• Dr. Weiguang Chen – Senior Engineer at Huawei. His research centers on speech signal processing, and our collaboration focuses on incorporating speech features into recommendation tasks.

📝 Selected Publications

• TKDE 2024 Accurate and Scalable Graph Convolutional Networks for Recommendation Based on Subgraph Propagation, Xueqi Li, Guoqing Xiao, Yuedan Chen, Kenli Li, and Gao Cong.
• CIKM 2024 On Evaluation Metrics for Diversity-enhanced Recommendations, Xueqi Li, Gao Cong, Guoqing Xiao, Yang Xu, Wenjun Jiang, and Kenli Li.
• TORS 2023 An Explicitly Weighted GCN Aggregator based on Temporal and Popularity Features for Recommendation, Xueqi Li, Guoqing Xiao, Yuedan Chen, Zhuo Tang, Wenjun Jiang, and Kenli Li.
• WWW 2020 Directional and Explainable Serendipity Recommendation, Xueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu, Guojun Wang, and Kenli Li.
• CIKM 2019 HAES: A New Hybrid Approach for Movie Recommendation with Elastic Serendipity, Xueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu, and Guojun Wang.

📚 Services

• Conference PC member: CIKM, IJCAI, AAAI
• Journal reviewer: TKDE