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2020 – today
- 2022
[j2]Jian Huang, Wen Ding, Jiarun Zhang, Zhao Li, Ting Shu, Pekka Kuosmanen, Guanqun Zhou, Chuan Zhou, Gang Yu:
Variational deep embedding-based active learning for the diagnosis of pneumonia. Frontiers Neurorobotics 16 (2022)- [j1]Cong Xu, Huiling Huang, Xiaoting Ying, Jianliang Gao, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo:
HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks. Inf. Sci. 607: 783-798 (2022) - [c3]Jiarun Zhang, Zhao Li, Jialun Zhang, Zhiqiang Zhang:
A Low-Cost Virtual 2D Spokes-Character Advertising Framework. ICME Workshops 2022: 1-4 - [c2]Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He:
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on. IJCAI 2022: 1151-1158 - [i1]Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He:
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on. CoRR abs/2204.11258 (2022) - 2021
- [c1]Jianliang Gao, Cong Xu, Huiling Huang, Xiaoting Ying, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo:
Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network. WI/IAT (Workshop/Special Session) 2021: 428-432
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