DCLab: A Web-based System for Digital Logic Experiment Teaching. - Yuhui Ding; Shanshan Li; Jinghan Liu; Xiaojun Wu (FIE, 2018)

POLAR: Attention-Based CNN for One-Shot Personalized Article Recommendation. - Zhengxiao Du; Jie Tang 001; Yuhui Ding (ECML/PKDD (2), 2018)

Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. - Changjun Fan; Li Zeng; Yuhui Ding; Muhao Chen 001; Yizhou Sun; Zhong Liu 002 (CIKM, 2019)

Propagation Model Search for Graph Neural Networks. - Yuhui Ding; Quanming Yao; Tong Zhang 001 (CoRR, 2020)

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks. - Yuhui Ding; Quanming Yao; Huan Zhao 002; Tong Zhang 001 (KDD, 2021)

POLAR++: Active One-Shot Personalized Article Recommendation. - Zhengxiao Du; Jie Tang 001; Yuhui Ding (IEEE Trans. Knowl. Data Eng., 2021)

Recurrent Distance-Encoding Neural Networks for Graph Representation Learning. - Yuhui Ding; Antonio Orvieto; Bobby He; Thomas Hofmann 001 (CoRR, 2023)

Recurrent Distance Filtering for Graph Representation Learning. - Yuhui Ding; Antonio Orvieto; Bobby He; Thomas Hofmann 001 (ICML, 2024)

Integrating Decision Tools for Environmental Impact Reduction in Sustainable Urban Planning. - Wei Zhu; Yuhui Ding (IEEE Access, 2025)

Generalized Interpolating Discrete Diffusion. - Dimitri von Rütte; Janis Fluri; Yuhui Ding; Antonio Orvieto; Bernhard Schölkopf; Thomas Hofmann 001 (CoRR, 2025)

Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment. - Yuhui Ding; Thomas Hofmann 001 (CoRR, 2025)