publications

2026

1. ICLR’26

   

   Token-Efficient Long-Term Interest Sketching and Internalized Reasoning for LLM-based Recommendation

   Zhihao Ding, Jinming Li, Shuai Mu, and 1 more author

   In The Fourteenth International Conference on Learning Representations, 2026

   Website
2. SIGMOD’26

   

   Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations

   Zhihao Ding^*, Yongkang Sun^*, and Jieming Shi

   In Proceedings of the ACM on Management of Data, 2026

   PDF Code Website

2025

1. NeurIPS’25

   E2former: An efficient and equivariant transformer with linear-scaling tensor products

   Yunyang Li, Lin Huang, Zhihao Ding, and 8 more authors

   In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
2. TKDE

   Large language models are in-context molecule learners

   Jiatong Li, Wei Liu, Zhihao Ding, and 3 more authors

   IEEE Transactions on Knowledge and Data Engineering, 2025
3. AAAI’25

   

   RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction

   Zhihao Ding, Ting Zhang, Yiran Li, and 2 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2025

   Oral Presentation

   PDF Blog Code Website

2024

1. ICML’25

   GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation

   Ziang Zhou, Zhihao Ding, Jieming Shi, and 2 more authors

   arXiv preprint arXiv:2412.11180, 2024
2. CIKM’24

   

   Sgood: Substructure-enhanced graph-level out-of-distribution detection

   Zhihao Ding, Jieming Shi, Shiqi Shen, and 4 more authors

   In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

   PDF Code Website
3. CIKM’24

   

   Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs

   Zhihao Ding, Jieming Shi, Qing Li, and 1 more author

   In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

   PDF Code Website

2023

1. VLDB’23

   

   EmbedX: A Versatile, Efficient and Scalable Platform to Embed Both Graphs and High-Dimensional Sparse Data

   Yuanhang Zou^*, Zhihao Ding^*, Jieming Shi, and 3 more authors

   Proceedings of the VLDB Endowment, 2023

   PDF Code Website

2022

1. Neurocomputing

   Infer-AVAE: An attribute inference model based on adversarial variational autoencoder

   Yadong Zhou, Zhihao Ding, Xiaoming Liu, and 3 more authors

   Neurocomputing, 2022

2021

1. Neurocomputing

   Payment-Guard: Detecting fraudulent in-app purchases in iOS system

   Yadong Zhou, Tianyi Yue, Xiaoming Liu, and 3 more authors

   Neurocomputing, 2021