Ziheng Duan - RankMe

25 papers A* 2A 3C 1Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SpaLLM: a general framework for spatial domain identification with large language models. Frontiers Bioinform. Zeyu Zou, Ziheng Duan
2025	A	`conf`	MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments. CIKM Ziheng Duan, Xi Li, Zhiqing Xiao, Rex Ying, Jing Zhang
2025	J	`jnl`	Nonlinear coupled vibration and control of roll system for twenty-high rolling mill. Math. Comput. Simul. Dongping He, Ziheng Duan, Huidong Xu, Xianglan Kong, Yuanming Liu, Tao Wang
2024	J	`jnl`	Impeller: a path-based heterogeneous graph learning method for spatial transcriptomic data imputation. Bioinform. Ziheng Duan, Dylan Riffle, Ren Li, Junhao Liu, Martin Renqiang Min, Jing Zhang
2024	C	`conf`	Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations. ACML Junhao Liu, Siwei Xu, Dylan Riffle, Ziheng Duan, Martin Renqiang Min, Jing Zhang
2024	A	`conf`	iHAST: Integrating Hybrid Attention for Super-Resolution in Spatial Transcriptomics. BMVC Xi Li, Jing Zhang, Ziheng Duan, Yi Dai, Siwei Xu
2024	A	`conf`	iMIRACLE: An Iterative Multi-View Graph Neural Network to Model Intercellular Gene Regulation From Spatial Transcriptomic Data. CIKM Ziheng Duan, Siwei Xu, Cheyu Lee, Dylan Riffle, Jing Zhang
2024	J	`jnl`	scENCORE: leveraging single-cell epigenetic data to predict chromatin conformation using graph embedding. Briefings Bioinform. Ziheng Duan, Siwei Xu, Shushrruth Sai Srinivasan, Ahyeon Hwang, Cheyu Lee, Feng Yue, Mark Gerstein, Yu Luan, Matthew J. Girgenti, Jing Zhang
2023	J	`jnl`	iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease. PLoS Comput. Biol. Ziheng Duan, Yi Dai, Ahyeon Hwang, Cheyu Lee, Kaichi Xie, Chutong Xiao, Min Xu, Matthew J. Girgenti, Jing Zhang
2022	J	`jnl`	Connecting latent relationships over heterogeneous attributed network for recommendation. Appl. Intell. Ziheng Duan, Yueyang Wang, Weihao Ye, Qilin Fan, Xiuhua Li
2022	A*	`conf`	Geometry-aware Two-scale PIFu Representation for Human Reconstruction. NeurIPS Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson W. H. Lau
2022	J	`jnl`	MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting. Pattern Recognit. Lett. Yueyang Wang, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren
2022	J	`jnl`	Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang
2022	J	`jnl`	Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data. PLoS Comput. Biol. Cheyu Lee, Yuhang Chen, Ziheng Duan, Min Xu, Matthew J. Girgenti, Ke Xu, Mark Gerstein, Jing Zhang
2021	J	`jnl`	Connecting Latent ReLationships over Heterogeneous Attributed Network for Recommendation. CoRR Ziheng Duan, Yueyang Wang, Weihao Ye, Zixuan Feng, Qilin Fan, Xiuhua Li
2021	J	`jnl`	Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation. Neurocomputing Haoyan Xu, Ziheng Duan, Yueyang Wang, Jie Feng, Runjian Chen, Qianru Zhang, Zhongbin Xu
2021	J	`jnl`	Total Scale: Face-to-Body Detail Reconstruction from Sparse RGBD Sensors. CoRR Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson W. H. Lau
2020	J	`jnl`	Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography. CoRR Ziheng Duan, Daniel Montes, Yangsibo Huang, Dufan Wu, Javier M. Romero, Ramon Gilberto Gonzalez, Quanzheng Li
2020	J	`jnl`	Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation. CoRR Haoyan Xu, Ziheng Duan, Jie Feng, Runjian Chen, Yida Huang, Yueyang Wang
2020	J	`jnl`	Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. CoRR Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang
2020	J	`jnl`	Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks. CoRR Yida Huang, Haoyan Xu, Ziheng Duan, Anni Ren, Jie Feng, Qianru Zhang, Xiaoqian Wang
2020	J	`jnl`	Multivariate Time Series Classification with Hierarchical Variational Graph Pooling. CoRR Haoyan Xu, Ziheng Duan, Yunsheng Bai, Yida Huang, Anni Ren, Qianru Yu, Qianru Zhang, Yueyang Wang, Xiaoqian Wang, Yizhou Sun, Wei Wang
2020	J	`jnl`	Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network. CoRR Haoyan Xu, Yida Huang, Ziheng Duan, Jie Feng, Pengyu Song
2020	J	`jnl`	Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting. CoRR Haoyan Xu, Ziheng Duan, Yida Huang, Jie Feng, Anni Ren, Qianru Zhang, Pengyu Song, Xiaoqian Wang
2019	A*	`conf`	Heterogeneous Attributed Network Embedding with Graph Convolutional Networks. AAAI Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang