Jiarun Zhang

According to our database, Jiarun Zhang authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks.

Xiaomin Shen, Jianliang Gao, Tengfei Lyu, Jiamin Chen, Jiarun Zhang, Jing He, Zhao Li, Wei Yu

Int. J. Data Min. Bioinform., 2025

Shapewarp: A "global-to-local" non-rigid sheep point cloud posture rectification method.

Binbin Han, Jiarun Zhang, Yuyun Xiang, Xiaopeng Li, Shuqin Li

Expert Syst. Appl., 2025

eBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery.

Donghui Ding, Zhao Li, Jiarun Zhang, Xuanwu Liu, Ji Zhang, Yuchen Li, Peng Cai, JianXun Liu, Guodong Long

Proceedings of the ACM on Web Conference 2025, 2025

RideSmart: Pre-trained Large Models for Delivery Route Planning.

Zhao Li, Yangbohan Jiao, Yuduo Shi, Donghui Ding, Jiacheng Wang, Jiarun Zhang, Haitao Xu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2022

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks.

Cong Xu, Huiling Huang, Xiaoting Ying, Jianliang Gao, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo

Inf. Sci., 2022

Variational deep embedding-based active learning for the diagnosis of pneumonia.

Jian Huang, Wen Ding, Jiarun Zhang, Zhao Li, Ting Shu, Pekka Kuosmanen, Guanqun Zhou, Chuan Zhou, Gang Yu

Frontiers Neurorobotics, 2022

RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on.

Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Low-Cost Virtual 2D Spokes-Character Advertising Framework.

Jiarun Zhang, Zhao Li, Jialun Zhang, Zhiqiang Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

2021

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network.

Jianliang Gao, Cong Xu, Huiling Huang, Xiaoting Ying, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021