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2020 – today
- 2025
[j4]Yuting Li
, Dexiong Chen, Tinglong Tang, Xi Shen:
HTR-VT: Handwritten text recognition with vision transformer. Pattern Recognit. 158: 110967 (2025)- 2024
- [c10]Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen:
SURE: SUrvey REcipes for Building Reliable and Robust Deep Networks. CVPR 2024: 17500-17510 - [i13]Dexiong Chen, Philip Hartout, Paolo Pellizzoni, Carlos G. Oliver, Karsten M. Borgwardt:
Endowing Protein Language Models with Structural Knowledge. CoRR abs/2401.14819 (2024) - [i12]Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen:
SURE: SUrvey REcipes for building reliable and robust deep networks. CoRR abs/2403.00543 (2024) - [i11]Dexiong Chen, Till Hendrik Schulz, Karsten M. Borgwardt:
Learning Long Range Dependencies on Graphs via Random Walks. CoRR abs/2406.03386 (2024) - [i10]Yuting Li, Dexiong Chen, Tinglong Tang, Xi Shen:
HTR-VT: Handwritten Text Recognition with Vision Transformer. CoRR abs/2409.08573 (2024) - 2023
- [c9]Dexiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt:
Unsupervised Manifold Alignment with Joint Multidimensional Scaling. ICLR 2023 - [c8]Dexiong Chen, Paolo Pellizzoni, Karsten M. Borgwardt:
Fisher Information Embedding for Node and Graph Learning. ICML 2023: 4839-4855 - [c7]Tim Kucera, Carlos G. Oliver, Dexiong Chen, Karsten M. Borgwardt:
ProteinShake: Building datasets and benchmarks for deep learning on protein structures. NeurIPS 2023 - [i9]Dexiong Chen, Paolo Pellizzoni, Karsten M. Borgwardt:
Fisher Information Embedding for Node and Graph Learning. CoRR abs/2305.07580 (2023) - 2022
- [j3]Taehoon Kim, Dexiong Chen, Philipp Hornauer, Vishalini Emmenegger, Julian Bartram, Silvia Ronchi, Andreas Hierlemann, Manuel Schröter, Damian Roqueiro:
Predicting in vitro single-neuron firing rates upon pharmacological perturbation using Graph Neural Networks. Frontiers Neuroinformatics 16 (2022) - [j2]Zhijun Mai, Guosheng Hu, Dexiong Chen, Fumin Shen, Heng Tao Shen:
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp With Metalearning. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3050-3064 (2022) - [c6]Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt:
Structure-Aware Transformer for Graph Representation Learning. ICML 2022: 3469-3489 - [i8]Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt:
Structure-Aware Transformer for Graph Representation Learning. CoRR abs/2202.03036 (2022) - [i7]Carlos G. Oliver, Dexiong Chen, Vincent Mallet, Pericles Philippopoulos, Karsten M. Borgwardt:
Approximate Network Motif Mining Via Graph Learning. CoRR abs/2206.01008 (2022) - [i6]Dexiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt:
Unsupervised Manifold Alignment with Joint Multidimensional Scaling. CoRR abs/2207.02968 (2022) - 2021
- [c5]Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal:
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention. ICLR 2021 - [i5]Grégoire Mialon, Dexiong Chen, Margot Selosse, Julien Mairal:
GraphiT: Encoding Graph Structure in Transformers. CoRR abs/2106.05667 (2021) - 2020
- [b1]Dexiong Chen:
Modélisation de données structurées avec des machines profondes à noyaux et des applications en biologie computationnelle. (Structured Data Modeling with Deep Kernel Machines and Applications in Computational Biology). Grenoble Alpes University, France, 2020 - [c4]Dexiong Chen, Laurent Jacob, Julien Mairal:
Convolutional Kernel Networks for Graph-Structured Data. ICML 2020: 1576-1586 - [i4]Dexiong Chen, Laurent Jacob, Julien Mairal:
Convolutional Kernel Networks for Graph-Structured Data. CoRR abs/2003.05189 (2020) - [i3]Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal:
An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention. CoRR abs/2006.12065 (2020)
2010 – 2019
- 2019
- [j1]Dexiong Chen, Laurent Jacob, Julien Mairal:
Biological sequence modeling with convolutional kernel networks. Bioinform. 35(18): 3294-3302 (2019) - [c3]Alberto Bietti, Grégoire Mialon, Dexiong Chen, Julien Mairal:
A Kernel Perspective for Regularizing Deep Neural Networks. ICML 2019: 664-674 - [c2]Dexiong Chen, Laurent Jacob, Julien Mairal:
Recurrent Kernel Networks. NeurIPS 2019: 13431-13442 - [c1]Dexiong Chen, Laurent Jacob, Julien Mairal:
Biological Sequence Modeling with Convolutional Kernel Networks. RECOMB 2019: 292-293 - [i2]Dexiong Chen, Laurent Jacob, Julien Mairal:
Recurrent Kernel Networks. CoRR abs/1906.03200 (2019) - [i1]Zhijun Mai, Guosheng Hu, Dexiong Chen, Fumin Shen, Heng Tao Shen:
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning. CoRR abs/1908.10059 (2019)
Coauthor Index
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