Semiparametric analysis of longitudinal zero-inflated count data. - Jiarui Feng; Zhongyi Zhu (J. Multivar. Anal., 2011)

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)

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)

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)

Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model. - Heming Zhang 002; Jiarui Feng; Amanda Zeng; Philip R. O. Payne; Fuhai Li 001 (AMIA, 2020)

Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model. - Jiarui Feng; Heming Zhang 002; Fuhai Li 001 (BMC Bioinform., 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)

A Novel Deep Learning Approach for Anomaly Detection of Time Series Data. - Zhiwei Ji; Jiaheng Gong; Jiarui Feng (Sci. Program., 2021)

Reward Delay Attacks on Deep Reinforcement Learning. - Anindya Sarkar; Jiarui Feng; Yevgeniy Vorobeychik; Christopher D. Gill; Ning Zhang 017 (GameSec, 2022)

How Powerful are K-hop Message Passing Graph Neural Networks. - Jiarui Feng; Yixin Chen 001; Fuhai Li 001; Anindya Sarkar; Muhan Zhang (NeurIPS, 2022)

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman. - Jiarui Feng; Lecheng Kong; Hao Liu 057; Dacheng Tao; Fuhai Li 001; Muhan Zhang; Yixin Chen 001 (NeurIPS, 2023)

MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. - Lecheng Kong; Jiarui Feng; Hao Liu 057; Dacheng Tao; Yixin Chen 001; Muhan Zhang (NeurIPS, 2023)

Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power. - Junru Zhou; Jiarui Feng; Xiyuan Wang; Muhan Zhang (NeurIPS, 2023)

Towards Arbitrarily Expressive GNNs in O(n2) Space by Rethinking Folklore Weisfeiler-Lehman. - Jiarui Feng; Lecheng Kong; Hao Liu 057; Dacheng Tao; Fuhai Li 001; Muhan Zhang; Yixin Chen 001 (CoRR, 2023)

One For All: Towards Training One Graph Model For All Classification Tasks. - Hao Liu 057; Jiarui Feng; Lecheng Kong; Ningyue Liang; Dacheng Tao; Yixin Chen 001; Muhan Zhang (ICLR, 2024)

Can Graph Learning Improve Planning in LLM-based Agents? - Xixi Wu; Yifei Shen; Caihua Shan; Kaitao Song; Siwei Wang; Bohang Zhang; Jiarui Feng; Hong Cheng; Wei Chen; Yun Xiong; Dongsheng Li (NeurIPS, 2024)

A Visual Active Search Framework for Geospatial Exploration. - Anindya Sarkar; Michael Lanier; Scott Alfeld; Jiarui Feng; Roman Garnett; Nathan Jacobs; Yevgeniy Vorobeychik (WACV, 2024)

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. - Hao Liu 057; Jiarui Feng; Lecheng Kong; Dacheng Tao; Yixin Chen 001; Muhan Zhang (WWW, 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)

TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models. - Jiarui Feng; Hao Liu 057; Lecheng Kong; Yixin Chen 001; Muhan Zhang (CoRR, 2024)

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. - Lecheng Kong; Jiarui Feng; Hao Liu 059; Chengsong Huang; Jiaxin Huang 001; Yixin Chen; Muhan Zhang (CoRR, 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 003; Ryan C. Fields; Fuhai Li 001 (PLoS Comput. Biol., 2024)

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. - Lecheng Kong; Jiarui Feng; Hao Liu 057; Chengsong Huang; Jiaxin Huang 001; Yixin Chen; Muhan Zhang (ICLR, 2025)

Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning. - Haoran Song; Jiarui Feng; Guangfu Li; Michael A. Province; Philip R. O. Payne; Yixin Chen 001; Fuhai Li 001 (CoRR, 2025)

Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Ads. - Jiayin Jin; Zhimeng Pan; Yang Tang; Jiarui Feng; Kungang Li; Chongyuan Xiang; Jiacheng Li; Runze Su; Siping Ji; Han Sun; Ling Leng; Prathibha Deshikachar (CoRR, 2025)