Dexiong Chen - RankMe

41 papers A* 11A 1B 2Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conformal Prediction with Knowledge Graphs for Reliable Antimicrobial Resistance Detection with MALDI-TOF Mass Spectra. J. Comput. Biol. Nina Corvelo Benz, Lucas Miranda, Dexiong Chen, Janko Sattler, Karsten M. Borgwardt
2026	J	`jnl`	Fast Graph Generation via Autoregressive Noisy Filtration Modeling. Trans. Mach. Learn. Res. Markus Krimmel, Jenna Wiens, Karsten M. Borgwardt, Dexiong Chen
2025	J	`jnl`	AdvMixUp: Adversarial MixUp Regularization for Deep Learning. IEEE Trans. Neural Networks Learn. Syst. Jun Fu, Xianrui Ji, Dexiong Chen, Guosheng Hu, Shuang Li, Xiating Feng
2025	B	`conf`	Detecting Antimicrobial Resistance Through MALDI-TOF Mass Spectrometry with Statistical Guarantees Using Conformal Prediction. RECOMB Nina Corvelo Benz, Lucas Miranda, Dexiong Chen, Janko Sattler, Karsten M. Borgwardt
2025	J	`jnl`	Endowing protein language models with structural knowledge. Bioinform. Philip Hartout, Dexiong Chen, Paolo Pellizzoni, Carlos G. Oliver, Karsten M. Borgwardt
2025	J	`jnl`	Flatten Graphs as Sequences: Transformers are Scalable Graph Generators. CoRR Dexiong Chen, Markus Krimmel, Karsten M. Borgwardt
2025	J	`jnl`	HTR-VT: Handwritten text recognition with vision transformer. Pattern Recognit. Yuting Li, Dexiong Chen, Tinglong Tang, Xi Shen
2025	A	`conf`	Learning Laplacian Positional Encodings for Heterophilous Graphs. AISTATS Michael Ito, Jiong Zhu, Dexiong Chen, Danai Koutra, Jenna Wiens
2025	J	`jnl`	Learning Laplacian Positional Encodings for Heterophilous Graphs. CoRR Michael Ito, Jiong Zhu, Dexiong Chen, Danai Koutra, Jenna Wiens
2025	A*	`conf`	Learning Long Range Dependencies on Graphs via Random Walks. ICLR Dexiong Chen, Till Hendrik Schulz, Karsten M. Borgwardt
2025	J	`jnl`	PolyGraph Discrepancy: a classifier-based metric for graph generation. CoRR Markus Krimmel, Philip Hartout, Karsten M. Borgwardt, Dexiong Chen
2025	J	`jnl`	Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling. CoRR Markus Krimmel, Jenna Wiens, Karsten M. Borgwardt, Dexiong Chen
2024	J	`jnl`	Biomarker identification by interpretable maximum mean discrepancy. Bioinform. Michael F. Adamer, Sarah C. Brüningk, Dexiong Chen, Karsten M. Borgwardt
2024	J	`jnl`	Endowing Protein Language Models with Structural Knowledge. CoRR Dexiong Chen, Philip Hartout, Paolo Pellizzoni, Carlos G. Oliver, Karsten M. Borgwardt
2024	J	`jnl`	HTR-VT: Handwritten Text Recognition with Vision Transformer. CoRR Yuting Li, Dexiong Chen, Tinglong Tang, Xi Shen
2024	J	`jnl`	Learning Long Range Dependencies on Graphs via Random Walks. CoRR Dexiong Chen, Till Hendrik Schulz, Karsten M. Borgwardt
2024	A*	`conf`	On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks. NeurIPS Paolo Pellizzoni, Till Hendrik Schulz, Dexiong Chen, Karsten M. Borgwardt
2024	A*	`conf`	SURE: SUrvey REcipes for Building Reliable and Robust Deep Networks. CVPR Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen
2024	J	`jnl`	SURE: SUrvey REcipes for building reliable and robust deep networks. CoRR Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen
2023	A*	`conf`	Fisher Information Embedding for Node and Graph Learning. ICML Dexiong Chen, Paolo Pellizzoni, Karsten M. Borgwardt
2023	J	`jnl`	Fisher Information Embedding for Node and Graph Learning. CoRR Dexiong Chen, Paolo Pellizzoni, Karsten M. Borgwardt
2023	A*	`conf`	ProteinShake: Building datasets and benchmarks for deep learning on protein structures. NeurIPS Tim Kucera, Carlos G. Oliver, Dexiong Chen, Karsten M. Borgwardt
2023	A*	`conf`	Unsupervised Manifold Alignment with Joint Multidimensional Scaling. ICLR Dexiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt
2022	J	`jnl`	Approximate Network Motif Mining Via Graph Learning. CoRR Carlos G. Oliver, Dexiong Chen, Vincent Mallet, Pericles Philippopoulos, Karsten M. Borgwardt
2022	J	`jnl`	MetaMixUp: Learning Adaptive Interpolation Policy of MixUp With Metalearning. IEEE Trans. Neural Networks Learn. Syst. Zhijun Mai, Guosheng Hu, Dexiong Chen, Fumin Shen, Heng Tao Shen
2022	J	`jnl`	Predicting in vitro single-neuron firing rates upon pharmacological perturbation using Graph Neural Networks. Frontiers Neuroinformatics Taehoon Kim, Dexiong Chen, Philipp Hornauer, Vishalini Emmenegger, Julian Bartram, Silvia Ronchi, Andreas Hierlemann, Manuel S. Schröter, Damian Roqueiro
2022	A*	`conf`	Structure-Aware Transformer for Graph Representation Learning. ICML Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt
2022	J	`jnl`	Structure-Aware Transformer for Graph Representation Learning. CoRR Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt
2022	J	`jnl`	Unsupervised Manifold Alignment with Joint Multidimensional Scaling. CoRR Dexiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt
2021	A*	`conf`	A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention. ICLR Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
2021	J	`jnl`	GraphiT: Encoding Graph Structure in Transformers. CoRR Grégoire Mialon, Dexiong Chen, Margot Selosse, Julien Mairal
2020	J	`jnl`	An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention. CoRR Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
2020	A*	`conf`	Convolutional Kernel Networks for Graph-Structured Data. ICML Dexiong Chen, Laurent Jacob, Julien Mairal
2020	J	`jnl`	Convolutional Kernel Networks for Graph-Structured Data. CoRR Dexiong Chen, Laurent Jacob, Julien Mairal
2020	—	`—`	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). Dexiong Chen
2019	A*	`conf`	A Kernel Perspective for Regularizing Deep Neural Networks. ICML Alberto Bietti, Grégoire Mialon, Dexiong Chen, Julien Mairal
2019	B	`conf`	Biological Sequence Modeling with Convolutional Kernel Networks. RECOMB Dexiong Chen, Laurent Jacob, Julien Mairal
2019	J	`jnl`	Biological sequence modeling with convolutional kernel networks. Bioinform. Dexiong Chen, Laurent Jacob, Julien Mairal
2019	J	`jnl`	MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning. CoRR Zhijun Mai, Guosheng Hu, Dexiong Chen, Fumin Shen, Heng Tao Shen
2019	A*	`conf`	Recurrent Kernel Networks. NeurIPS Dexiong Chen, Laurent Jacob, Julien Mairal
2019	J	`jnl`	Recurrent Kernel Networks. CoRR Dexiong Chen, Laurent Jacob, Julien Mairal