Dexiong Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Structured And Unstructured Data

Graph Representation

Kernel Machines

Top Venues

Publications

Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen
SURE: SUrvey REcipes for building reliable and robust deep networks. CoRR (2024)
Dexiong Chen, Philip Hartout, Paolo Pellizzoni, Carlos G. Oliver, Karsten M. Borgwardt
Endowing Protein Language Models with Structural Knowledge. CoRR (2024)
Dexiong Chen, Till Hendrik Schulz, Karsten M. Borgwardt
Learning Long Range Dependencies on Graphs via Random Walks. CoRR (2024)
Dexiong Chen, Paolo Pellizzoni, Karsten M. Borgwardt
Fisher Information Embedding for Node and Graph Learning. CoRR (2023)
Dexiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt
Unsupervised Manifold Alignment with Joint Multidimensional Scaling. ICLR (2023)
Dexiong Chen, Paolo Pellizzoni, Karsten M. Borgwardt
Fisher Information Embedding for Node and Graph Learning. ICML (2023)
Tim Kucera, Carlos G. Oliver, Dexiong Chen, Karsten M. Borgwardt
ProteinShake: Building datasets and benchmarks for deep learning on protein structures. NeurIPS (2023)
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) (2022)
Carlos G. Oliver, Dexiong Chen, Vincent Mallet, Pericles Philippopoulos, Karsten M. Borgwardt
Approximate Network Motif Mining Via Graph Learning. CoRR (2022)
Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt
Structure-Aware Transformer for Graph Representation Learning. ICML (2022)
Dexiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt
Unsupervised Manifold Alignment with Joint Multidimensional Scaling. CoRR (2022)
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)
Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt
Structure-Aware Transformer for Graph Representation Learning. CoRR (2022)
Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention. ICLR (2021)
Grégoire Mialon, Dexiong Chen, Margot Selosse, Julien Mairal
GraphiT: Encoding Graph Structure in Transformers. CoRR (2021)
Dexiong Chen, Laurent Jacob, Julien Mairal
Convolutional Kernel Networks for Graph-Structured Data. CoRR (2020)
Dexiong Chen, Laurent Jacob, Julien Mairal
Convolutional Kernel Networks for Graph-Structured Data. ICML (2020)
Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention. CoRR (2020)
Dexiong Chen, Laurent Jacob, Julien Mairal
Recurrent Kernel Networks. NeurIPS (2019)
Alberto Bietti, Grégoire Mialon, Dexiong Chen, Julien Mairal
A Kernel Perspective for Regularizing Deep Neural Networks. ICML (2019)
Dexiong Chen, Laurent Jacob, Julien Mairal
Biological Sequence Modeling with Convolutional Kernel Networks. RECOMB (2019)
Dexiong Chen, Laurent Jacob, Julien Mairal
Recurrent Kernel Networks. CoRR (2019)
Dexiong Chen, Laurent Jacob, Julien Mairal
Biological sequence modeling with convolutional kernel networks. Bioinform. 35 (18) (2019)
Zhijun Mai, Guosheng Hu, Dexiong Chen, Fumin Shen, Heng Tao Shen
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning. CoRR (2019)