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2020 – today
- 2023
[j2]Youdi Gong, Guangzhen Liu, Yunzhi Xue, Rui Li, Lingzhong Meng:
A survey on dataset quality in machine learning. Inf. Softw. Technol. 162: 107268 (2023)- [c12]Shuting Kang, Heng Guo
, Peng Su, Lijun Zhang, Guangzhen Liu, Yunzhi Xue, Yanjun Wu:
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving. ATS 2023: 1-6 - [c11]Yue Han, Guangzhen Liu, Qiong Fang, Qi Zhao, Nan Li, Jin He:
Analysis of Tripping Fault of 2213 Outgoing Line Interval Circuit Breaker in a Certain Substation. ICITEE 2023: 243-250 - [c10]Guangzhen Liu, Pengbo Wang, Jin He, Qiong Fang, Rong Chen, Qi Zhao, Yue Han:
Study and Field Application of GIS Multipoint Discharge Separation Technology Based on Amplitude Ratio Clustering. ICITEE 2023: 251-256 - 2022
- [c9]Hongping Ren, Hui Gao, He Chen, Guangzhen Liu:
A Survey of Autonomous Driving Scenarios and Scenario Databases. DSA 2022: 754-762 - [c8]Yunxiu Chen, Qian Dong, Guangzhen Liu, Hongping Ren, Yunzhi Xue:
Automatic Driving Scene Sampling Method Based On Key Parameter Identification. DSA 2022: 763-771 - 2021
- [c7]Guoxing Yang, Nanyi Fei, Mingyu Ding, Guangzhen Liu, Zhiwu Lu, Tao Xiang:
L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing. CVPR 2021: 2951-2960 - [c6]Guangzhen Liu, Zhiwu Lu:
Weakly-Supervised Attribute Segmentation. ICME 2021: 1-6 - [c5]Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang:
Contrastive prototype learning with augmented embeddings for few-shot learning. UAI 2021: 140-150 - [i2]Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang, Songfang Huang:
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning. CoRR abs/2101.09499 (2021) - [i1]Yuqi Huo, Manli Zhang, Guangzhen Liu, Haoyu Lu, Yizhao Gao, Guoxing Yang, Jingyuan Wen, Heng Zhang, Baogui Xu, Weihao Zheng, Zongzheng Xi, Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang, Yuqing Song, Xin Hong, Wanqing Cui, Dan Yang Hou, Yingyan Li, Junyi Li, Peiyu Liu, Zheng Gong, Chuhao Jin, Yuchong Sun, Shizhe Chen, Zhiwu Lu, Zhicheng Dou, Qin Jin, Yanyan Lan, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen:
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. CoRR abs/2103.06561 (2021) - 2020
- [j1]Guangzhen Liu, Zhiwu Lu:
Discriminativeness-Preserved Domain Adaptation for Few-Shot Learning. IEEE Access 8: 168405-168413 (2020)
2010 – 2019
- 2019
- [c4]Guangzhen Liu, Jiechao Guan, Manli Zhang, Jianhong Zhang, Zihao Wang, Zhiwu Lu:
Joint Projection and Subspace Learning for Zero-Shot Recognition. ICME 2019: 1228-1233 - 2018
- [c3]Guangzhen Liu, Jun Hu, An Zhao, Mingyu Ding, Yuqi Huo, Zhiwu Lu:
InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection. ICONIP (3) 2018: 411-422 - 2017
- [c2]Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen:
Graph-boosted convolutional neural networks for semantic segmentation. IJCNN 2017: 612-618 - 2016
- [c1]Peng Han, Guangzhen Liu, Songfang Huang, Wenwu Yuan, Zhiwu Lu:
Segmentation with Selectively Propagated Constraints. ICONIP (2) 2016: 585-592
Coauthor Index
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last updated on 2024-08-29 20:56 CEST by the dblp team
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