Jiarui Feng

Orcid: 0000-0002-6346-0640

According to our database1, Jiarui Feng authored at least 19 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data.
PLoS Comput. Biol., January, 2024

A Visual Active Search Framework for Geospatial Exploration.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network.
CoRR, 2023

One for All: Towards Training One Graph Model for All Classification Tasks.
CoRR, 2023

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks.
CoRR, 2023

Towards Arbitrarily Expressive GNNs in O(n<sup>2</sup>) Space by Rethinking Folklore Weisfeiler-Lehman.
CoRR, 2023

Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MAG-GNN: Reinforcement Learning Boosted Graph Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
How Powerful are K-hop Message Passing Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reward Delay Attacks on Deep Reinforcement Learning.
Proceedings of the Decision and Game Theory for Security - 13th International Conference, 2022

2021
A Novel Deep Learning Approach for Anomaly Detection of Time Series Data.
Sci. Program., 2021

Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data.
npj Digit. Medicine, 2021

Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model.
BMC Bioinform., 2021

2020
Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model.
Proceedings of the AMIA 2020, 2020

2019
Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize Canopies.
Sensors, 2019

High-Throughput Phenotyping Analysis of Potted Soybean Plants Using Colorized Depth Images Based on A Proximal Platform.
Remote. Sens., 2019

2018
Prediction of Chlorophyll Content in Different Light Areas of Apple Tree Canopies based on the Color Characteristics of 3D Reconstruction.
Remote. Sens., 2018

2011
Semiparametric analysis of longitudinal zero-inflated count data.
J. Multivar. Anal., 2011


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