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ORCIDJiarui Feng
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2020 – today
- 2024
[j8]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
:
sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data. PLoS Comput. Biol. 20(1) (2024)- [c9]Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang:
One For All: Towards Training One Graph Model For All Classification Tasks. ICLR 2024 - [c8]Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik:
A Visual Active Search Framework for Geospatial Exploration. WACV 2024: 8301-8310 - [c7]Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang:
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. WWW 2024: 365-376 - [i10]Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li:
Can Graph Learning Improve Task Planning? CoRR abs/2405.19119 (2024) - [i9]Jiarui Feng, Hao Liu, Lecheng Kong, Yixin Chen, Muhan Zhang:
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models. CoRR abs/2406.14683 (2024) - [i8]Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang:
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. CoRR abs/2407.09709 (2024) - 2023
- [c6]Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen:
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman. NeurIPS 2023 - [c5]Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang:
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. NeurIPS 2023 - [c4]Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang:
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power. NeurIPS 2023 - [i7]Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen:
Towards Arbitrarily Expressive GNNs in O(n2) Space by Rethinking Folklore Weisfeiler-Lehman. CoRR abs/2306.03266 (2023) - [i6]Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang:
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power. CoRR abs/2309.04941 (2023) - [i5]Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang:
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. CoRR abs/2309.10376 (2023) - [i4]Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang:
One for All: Towards Training One Graph Model for All Classification Tasks. CoRR abs/2310.00149 (2023) - [i3]Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang:
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. CoRR abs/2310.19142 (2023) - 2022
- [c3]Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang:
Reward Delay Attacks on Deep Reinforcement Learning. GameSec 2022: 212-230 - [c2]Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang:
How Powerful are K-hop Message Passing Graph Neural Networks. NeurIPS 2022 - [i2]Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang:
How Powerful are K-hop Message Passing Graph Neural Networks. CoRR abs/2205.13328 (2022) - [i1]Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang:
Reward Delay Attacks on Deep Reinforcement Learning. CoRR abs/2209.03540 (2022) - 2021
- [j7]Jiarui Feng, Heming Zhang, Fuhai Li:
Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model. BMC Bioinform. 22(1): 47 (2021) - [j6]Jiarui Feng, Jennifer Lee, Zachary A. Vesoulis, Fuhai Li:
Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data. npj Digit. Medicine 4 (2021) - [j5]Zhiwei Ji, Jiaheng Gong, Jiarui Feng:
A Novel Deep Learning Approach for Anomaly Detection of Time Series Data. Sci. Program. 2021: 6636270:1-6636270:11 (2021) - 2020
- [c1]Heming Zhang, Jiarui Feng, Amanda Zeng, Philip R. O. Payne, Fuhai Li:
Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model. AMIA 2020
2010 – 2019
- 2019
- [j4]Xiaodan Ma, Kexin Zhu, Haiou Guan, Jiarui Feng, Song Yu, Gang Liu:
High-Throughput Phenotyping Analysis of Potted Soybean Plants Using Colorized Depth Images Based on A Proximal Platform. Remote. Sens. 11(9): 1085 (2019) - [j3]Xiaodan Ma, Kexin Zhu, Haiou Guan, Jiarui Feng, Song Yu, Gang Liu:
Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize Canopies. Sensors 19(5): 1201 (2019) - 2018
- [j2]Xiaodan Ma, Jiarui Feng, Haiou Guan, Gang Liu:
Prediction of Chlorophyll Content in Different Light Areas of Apple Tree Canopies based on the Color Characteristics of 3D Reconstruction. Remote. Sens. 10(3): 429 (2018) - 2011
- [j1]Jiarui Feng, Zhongyi Zhu:
Semiparametric analysis of longitudinal zero-inflated count data. J. Multivar. Anal. 102(1): 61-72 (2011)
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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