Ziheng Duan

According to our database, Ziheng Duan authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

iMIRACLE: An Iterative Multi-View Graph Neural Network to Model Intercellular Gene Regulation From Spatial Transcriptomic Data.

Ziheng Duan, Siwei Xu, Cheyu Lee, Dylan Riffle, Jing Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease.

Ziheng Duan, Yi Dai, Ahyeon Hwang, Cheyu Lee, Kaichi Xie, Chutong Xiao, Min Xu, Matthew J. Girgenti, Jing Zhang

PLoS Comput. Biol., 2023

2022

Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data.

Cheyu Lee, Yuhang Chen, Ziheng Duan, Min Xu, Matthew J. Girgenti, Ke Xu, Mark Gerstein, Jing Zhang

PLoS Comput. Biol., October, 2022

MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting.

Yueyang Wang, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren

Pattern Recognit. Lett., 2022

Multivariate time-series classification with hierarchical variational graph pooling.

Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang

Neural Networks, 2022

Connecting latent relationships over heterogeneous attributed network for recommendation.

Ziheng Duan, Yueyang Wang, Weihao Ye, Qilin Fan, Xiuhua Li

Appl. Intell., 2022

Geometry-aware Two-scale PIFu Representation for Human Reconstruction.

Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson W. H. Lau

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation.

Haoyan Xu, Ziheng Duan, Yueyang Wang, Jie Feng, Runjian Chen, Qianru Zhang, Zhongbin Xu

Neurocomputing, 2021

Total Scale: Face-to-Body Detail Reconstruction from Sparse RGBD Sensors.

Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson W. H. Lau

CoRR, 2021

Connecting Latent ReLationships over Heterogeneous Attributed Network for Recommendation.

Ziheng Duan, Yueyang Wang, Weihao Ye, Zixuan Feng, Qilin Fan, Xiuhua Li

CoRR, 2021

2020

Multivariate Time Series Classification with Hierarchical Variational Graph Pooling.

Haoyan Xu, Ziheng Duan, Yunsheng Bai, Yida Huang, Anni Ren, Qianru Yu, Qianru Zhang, Yueyang Wang, Xiaoqian Wang, Yizhou Sun, Wei Wang

CoRR, 2020

Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks.

Yida Huang, Haoyan Xu, Ziheng Duan, Anni Ren, Jie Feng, Qianru Zhang, Xiaoqian Wang

CoRR, 2020

Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting.

Haoyan Xu, Ziheng Duan, Yida Huang, Jie Feng, Anni Ren, Qianru Zhang, Pengyu Song, Xiaoqian Wang

CoRR, 2020

Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography.

Ziheng Duan, Daniel Montes, Yangsibo Huang, Dufan Wu, Javier M. Romero, Ramon Gilberto Gonzalez, Quanzheng Li

CoRR, 2020

Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation.

Haoyan Xu, Ziheng Duan, Jie Feng, Runjian Chen, Yida Huang, Yueyang Wang

CoRR, 2020

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.

Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang

CoRR, 2020

Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network.

Haoyan Xu, Yida Huang, Ziheng Duan, Jie Feng, Pengyu Song

CoRR, 2020

2019

Heterogeneous Attributed Network Embedding with Graph Convolutional Networks.

Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019