I am a second-year Ph.D. student in Computer Science at the University of Georgia, advised by Prof. Ninghao Liu. My research centers on recommendation systems, reasoning-aware large language models, and model interpretability, with the goal of building recommendation systems and reasoning-aware models that are more capable, reliable, and interpretable in real-world scenarios.
Prior to my Ph.D., I received my Master’s degree from the Central South University, where I was advised by Prof. Senzhang Wang and worked on topics at the spatio-temporal prediction and fairness in AI.
🔥 News
- 2026.05 Our paper Decomposing Predictive Roles of Semantic and Collaborative Information for Sequential Recommendation was accepted to KDD 2026 🎉
- 2025.01 Our paper Fairtp: A prolonged fairness framework for traffic prediction was accepted to AAAI 2025 🎉
- 2024.12 Received the Best Paper Runner-up at ADMA 2024 🏆
- 2024.08 Joined the DLGA lab at the University of Georgia as a research assistant. 🎉
📝 Publications
* denotes equal contribution
Under Review
Reasoning or Memorization? Direction-Aware Diversity Exploration in LLM Reinforcement Learning
Jiangnan Xia, Yucheng Shi, Yu Yang, Kishan Panaganti, Zhenwen Liang, Ninghao Liu
Under Review
[SAERec: Constructing Fine-grained Interpretable Intents Priors via Sparse Autoencoders for Recommendation]
Jiangnan Xia, Xuansheng Wu, Yu Yang, Xin Wang, Ninghao Liu
KDD 2026
[Decomposing Predictive Roles of Semantic and Collaborative Information for Sequential Recommendation]
Jiangnan Xia, Yu Yang, Xiang Wang, Ninghao Liu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026
AAAI 2025
Fairtp: A prolonged fairness framework for traffic prediction
Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao
AAAI Conference on Artificial Intelligence (AAAI) 2025 (Oral)
DASFAA 2024
STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction
Haoli Wang*, Jiangnan Xia*, Yu Yang, Senzhang Wang, Jiannong Cao
International Conference on Database Systems for Advanced Applications (DASFAA) 2024
IJMLC 2024
Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction
Jiangnan Xia, Senzhang Wang, Xiang Wang, Min Xia, Kun Xie, Jiannong Cao
International Journal of Machine Learning and Cybernetics (IJMLC) 2024
ADMA 2024
ResGAT: Embedding Adjacent Connectivity of Brain Regions from fMRI for Accurate Parkinson’s Disease Recognition
Shuyang Li, Yu Yang, Yichen Lv, Jiangnan Xia, Xin Wang
International Conference on Advanced Data Mining and Applications (ADMA) 2024 (Best Paper Runner-up)
TKDE 2023
Bayes-enhanced multi-view attention networks for robust POI recommendation
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023
TKDE 2022
MBA-STNet: Bayes-enhanced discriminative multi-task learning for flow prediction
Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022
💼 Internships
- 2026 Summer Research Intern · Squirrel AI · Shanghai, CHINA
🎓 Education
- 2024.08 – Present Ph.D. in Computer Science · University of Georgia
- 2021.09 – 2024.06 M.Eng. in Computer Science · Central South University
- 2017.09 – 2021.06 B.Eng. in Computer Science · Nanchang University