Zhihang Hu

According to our database, Zhihang Hu authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Deep generative design of RNA aptamers using structural predictions.

Felix Wong, Dongchen He, Aarti Krishnan, Liang Hong, Alexander Z. Wang, Jiuming Wang, Zhihang Hu, Satotaka Omori, Alicia Li, Jiahua Rao, Qinze Yu, Wengong Jin, Tianqing Zhang, Katherine Ilia, Jack X. Chen, Shuangjia Zheng, Irwin King, Yu Li, James J. Collins

Nat. Comput. Sci., November, 2024

Progress and Opportunities of Foundation Models in Bioinformatics.

Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li

CoRR, 2024

Progress and opportunities of foundation models in bioinformatics.

Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Gengjie Jia, Sheng Wang, Le Song, Yu Li

Briefings Bioinform., 2024

Drug-Target Interaction Prediction via Deep Multimodal Graph and Structural Learning.

Haorun Li, Zhihang Hu

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Con-AAE: contrastive cycle adversarial autoencoders for single-cell multi-omics alignment and integration.

Xuesong Wang, Zhihang Hu, Tingyang Yu, Yixuan Wang, Ruijie Wang, Yumeng Wei, Juan Shu, Jianzhu Ma, Yu Li

Bioinform., April, 2023

Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning.

Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li

CoRR, 2023

2022

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data.

Haodi Jiang, Qin Li, Zhihang Hu, Nian Liu, Yasser Abduallah, Ju Jing, Genwei Zhang, Yan Xu, Wynne Hsu, Jason T. L. Wang, Haimin Wang

CoRR, 2022

E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction.

Tao Shen, Zhihang Hu, Zhangzhi Peng, Jiayang Chen, Peng Xiong, Liang Hong, Liangzhen Zheng, Yixuan Wang, Irwin King, Sheng Wang, Siqi Sun, Yu Li

CoRR, 2022

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis.

Wenkai Han, Yuqi Cheng, Jiayang Chen, Huawen Zhong, Zhihang Hu, Siyuan Chen, Licheng Zong, Liang Hong, Ting-Fung Chan, Irwin King, Xin Gao, Yu Li

Briefings Bioinform., 2022

2021

Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration.

Xuesong Wang, Zhihang Hu, Tingyang Yu, Ruijie Wang, Yumeng Wei, Juan Shu, Jianzhu Ma, Yu Li

CoRR, 2021

DeepCURATER: Deep Learning for CoURse And Teaching Evaluation and Review.

Zhihang Hu, Bhaavanaa Thumu, Yuren Qin, ZhiSheng Tao, Yijian Lu, Omar Kan, Yu Li, Irwin King

Proceedings of the 2021 IEEE International Conference on Engineering, 2021

2020

Generative Adversarial Networks for Stochastic Video Prediction With Action Control.

Zhihang Hu, Turki Turki, Jason T. L. Wang

IEEE Access, 2020

2019

Generative Adversarial Networks for Video Prediction with Action Control.

Zhihang Hu, Jason T. L. Wang

Proceedings of the Artificial Intelligence. IJCAI 2019 International Workshops, 2019

A Novel Adversarial Inference Framework for Video Prediction with Action Control.

Zhihang Hu, Jason Tsong-Li Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction.

Zhihang Hu, Turki Turki, NhatHai Phan, Jason T. L. Wang

IEEE Access, 2018