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Zhun Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j7]Hongkui Wang, Yin Chen, Qi Ye, Zhun Li, Antong Pan, Haibing Yin, Liutao Wang, Jun Yin, Heng Jin, Li Yu, Wenyao Zhu, Xianghong Tang:
JND-based multi-module cooperative perceptual optimization for HEVC. Displays 84: 102783 (2024) - 2023
- [j6]Jianchang Fan, Nana Wan, Zhun Li, Hong Fu:
Quality and price competition in a duopoly under product liability and traceability. RAIRO Oper. Res. 57(4): 1913-1950 (2023) - [j5]Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu:
RGBT Salient Object Detection: A Large-Scale Dataset and Benchmark. IEEE Trans. Multim. 25: 4163-4176 (2023) - [c5]Zhun Li, Mei Song, Yi Zhu, Lingyue Zhang:
Chinese Nested Named Entity Recognition Based on Boundary Prompt. WISA 2023: 331-343 - 2022
- [j4]Zhengzheng Tu, Zhun Li, Chenglong Li, Jin Tang:
Weakly Alignment-Free RGBT Salient Object Detection With Deep Correlation Network. IEEE Trans. Image Process. 31: 3752-3764 (2022) - [c4]Zhifeng Shen, Miaoyuan Zhang, Zhun Li, Xingnan Liang:
Study on the Influence of High-speed Railway on: Regional Economic Development - - Taking Harbin-Dalian High-speed Railway as an Example. ICIBE 2022: 406-412 - 2021
- [j3]Zhengzheng Tu, Zhun Li, Chenglong Li, Yang Lang, Jin Tang:
Multi-Interactive Dual-Decoder for RGB-Thermal Salient Object Detection. IEEE Trans. Image Process. 30: 5678-5691 (2021) - 2020
- [i2]Zhengzheng Tu, Zhun Li, Chenglong Li, Yang Lang, Jin Tang:
Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection. CoRR abs/2005.02315 (2020) - [i1]Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu:
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark. CoRR abs/2007.03262 (2020)
2010 – 2019
- 2019
- [j2]Zhun Li, ByungSoo Ko, Ho-Jin Choi:
Naive semi-supervised deep learning using pseudo-label. Peer-to-Peer Netw. Appl. 12(5): 1358-1368 (2019) - 2018
- [c3]Zhun Li, ByungSoo Ko, Ho-Jin Choi:
Pseudo-Labeling Using Gaussian Process for Semi-Supervised Deep Learning. BigComp 2018: 263-269 - [c2]Chan Yong Park, Han-Gyu Kim, Dongkeon Lee, Zhun Li, Seung-Ho Han, Ho-Jin Choi:
Image Analogy with Gaussian Process. BigComp 2018: 522-525 - 2017
- [c1]You Jin Kim, Han-Gyu Kim, Zhun Li, Ho-Jin Choi:
Avoiding Overfitting in Deep Neural Networks for Clinical Opinions Generation from General Blood Test Results. MedInfo 2017: 1274 - 2016
- [j1]Zhuo Wang, Tingting Hou, Dawei Song, Zhun Li, Tianqi Kong:
Detecting Review Spammer Groups via Bipartite Graph Projection. Comput. J. 59(6): 861-874 (2016)
Coauthor Index
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