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2020 – today
- 2024
[j5]Conghao Wang
, Hiok Hian Ong, Shunsuke Chiba, Jagath C. Rajapakse:
GLDM: hit molecule generation with constrained graph latent diffusion model. Briefings Bioinform. 25(3) (2024)- [c1]Conghao Wang, Hiok Hian Ong, Shunsuke Chiba, Jagath C. Rajapakse:
De Novo Molecule Generation with Graph Latent Diffusion Model. ICASSP 2024: 2121-2125 - [i1]Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse:
Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review. CoRR abs/2405.00577 (2024) - 2023
- [j4]Shunxin Xiao, Huibin Lin, Conghao Wang, Shiping Wang, Jagath C. Rajapakse:
Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis. IEEE J. Biomed. Health Informatics 27(9): 4591-4600 (2023) - 2021
- [j3]Conghao Wang, Xintong Lye, Rama Kaalia, Parvin Kumar, Jagath C. Rajapakse:
Deep learning and multi-omics approach to predict drug responses in cancer. BMC Bioinform. 22-S(10): 632 (2021) - [j2]Quanzheng Mou, Longsheng Wei, Conghao Wang, Dapeng Luo, Songze He, Jing Zhang, Huimin Xu, Chen Luo, Changxin Gao:
Unsupervised domain-adaptive scene-specific pedestrian detection for static video surveillance. Pattern Recognit. 118: 108038 (2021)
2010 – 2019
- 2018
- [j1]Jinya Su, Cunjia Liu, Matthew Coombes, Xiaoping Hu, Conghao Wang, Xiangming Xu, Qingdong Li, Lei Guo, Wen-Hua Chen:
Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery. Comput. Electron. Agric. 155: 157-166 (2018)
Coauthor Index
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