Jiarui Feng

According to our database, Jiarui Feng authored at least 21 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data.

Jiarui Feng, S. Peter Goedegebuure, Amanda Zeng, Ye Bi, Ting Wang, Philip R. O. Payne, Li Ding, David DeNardo, William Hawkins, Ryan C. Fields, Fuhai Li

PLoS Comput. Biol., January, 2024

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling.

Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang

CoRR, 2024

TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models.

Jiarui Feng, Hao Liu, Lecheng Kong, Yixin Chen, Muhan Zhang

CoRR, 2024

Can Graph Learning Improve Task Planning?

Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li

CoRR, 2024

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

Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang

Proceedings of the ACM on Web Conference 2024, 2024

A Visual Active Search Framework for Geospatial Exploration.

Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

One For All: Towards Training One Graph Model For All Classification Tasks.

Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Towards Arbitrarily Expressive GNNs in O(n²) Space by Rethinking Folklore Weisfeiler-Lehman.

Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen

CoRR, 2023

Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power.

Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang

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.

Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang

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.

Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen

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.

Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang

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.

Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang

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.

Zhiwei Ji, Jiaheng Gong, Jiarui Feng

Sci. Program., 2021

Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data.

Jiarui Feng, Jennifer Lee, Zachary A. Vesoulis, Fuhai Li

npj Digit. Medicine, 2021

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

Jiarui Feng, Heming Zhang, Fuhai Li

BMC Bioinform., 2021

2020

Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model.

Heming Zhang, Jiarui Feng, Amanda Zeng, Philip R. O. Payne, Fuhai Li

Proceedings of the AMIA 2020, 2020

2019

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

Xiaodan Ma, Kexin Zhu, Haiou Guan, Jiarui Feng, Song Yu, Gang Liu

Sensors, 2019

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

Xiaodan Ma, Kexin Zhu, Haiou Guan, Jiarui Feng, Song Yu, Gang Liu

Remote. Sens., 2019

2018

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

Xiaodan Ma, Jiarui Feng, Haiou Guan, Gang Liu

Remote. Sens., 2018

2011

Semiparametric analysis of longitudinal zero-inflated count data.

Jiarui Feng, Zhongyi Zhu

J. Multivar. Anal., 2011