Publications of Dexiong Chen

Journal Article (7)

1.
Journal Article
Li, Y.; Chen, D.; Tang, T.; Shen, X.: HTR-VT: Handwritten text recognition with vision transformer. Pattern Recognition 158, 110967 (2025)
2.
Journal Article
Chen, D.; Schulz, T.; Borgwardt, K.: Learning Long Range Dependencies on Graphs via Random Walks. 13th International Conference on Learning Representations (ICLR 2025) (accepted) (2025)
3.
Journal Article
Corvelo Benz, N.; Miranda, L.; Chen, D.; Sattler, J.; Borgwardt, K.: Antimicrobial drug recommendation from MALDI-TOF mass spectrometry with statistical guarantees using conformal prediction. 29th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2025) (accepted) (2025)
4.
Journal Article
Pellizzoni, P.; Schulz, T.; Chen, D.; Borgwardt, K.: Graph Neural Networks Can (Often) Count Substructures. 13th International Conference on Learning Representations (ICLR 2025) (accepted) (2025)
5.
Journal Article
Adamer, M. F.; Brüningk, S. C.; Chen, D.; Borgwardt, K.: Biomarker identification by interpretable maximum mean discrepancy. Bioinformatics 40 (Suppl. 1), pp. i501 - i510 (2024)
6.
Journal Article
Pellizzoni, P.; Schulz, T.; Chen, D.; Borgwardt, K. M.: On the expressivity and sample complexity of node-individualized graph neural networks. Conference on Neural Information Processing Systems (NeurIPS 2024) (2024)
7.
Journal Article
Kucera, T.; Oliver, C.; Chen, D.; Borgwardt, K.: ProteinShake Building datasets and benchmarks for deep learning on protein structures. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (2023)

Conference Paper (1)

8.
Conference Paper
Li, Y.; Chen, Y.; Yu, X.; Chen, D.; Shen, X.: SURE: SUrvey REcipes for building reliable and robust deep networks. In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 17500 - 17510. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, June 16, 2024 - June 22, 2024. (2024)

Preprint (1)

9.
Preprint
Chen, D.; Hartout, P.; Pellizzoni, P.; Oliver, C.; Borgwardt, K.: Endowing protein language models with structural knowledge. arXiv: Condensed Matter-Materials Science (2024)
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