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Junnan Liu
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2020 – today
- 2024
- [j8]Wenjia Ouyang
, Junnan Liu
, Yanhui Wei
:
An Underwater Image Enhancement Method Based on Balanced Adaption Compensation. IEEE Signal Process. Lett. 31: 1034-1038 (2024) - [c12]Junnan Liu, Wenlong Du, Qingquan Li, Xuewei Wang, Zhongjun Zhou, Jin Liu:
S-Evaluator: Enhance Factual Consistency Evaluator with Adversarial Data Synthesized by Large Language Model. ICASSP 2024: 10116-10120 - 2023
- [j7]Xuan Guo
, Junnan Liu
, Fang Wu, Haizhong Qian:
A Method for Intelligent Road Network Selection Based on Graph Neural Network. ISPRS Int. J. Geo Inf. 12(8): 336 (2023) - [j6]Jinchao Zhu
, Xiaoyu Zhang, Xian Fang, Yuxuan Wang
, Panlong Tan, Junnan Liu
:
Perception-and-Regulation Network for Salient Object Detection. IEEE Trans. Multim. 25: 6525-6537 (2023) - [c11]Yongkang Ding, Junnan Liu, Xin He:
Min-Leader Optimal Scheduling Algorithm in Kubernetes Clusters. CAIBDA 2023: 977-982 - [c10]Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang:
POINE2: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs. ECAI 2023: 1521-1528 - [c9]Junnan Liu, Qianren Mao, Chenghua Lin, Yangqiu Song, Jianxin Li:
LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs. EMNLP (Findings) 2023: 4578-4586 - 2022
- [c8]Yiming Wang
, Qianren Mao, Junnan Liu, Weifeng Jiang, Hongdong Zhu, Jianxin Li:
Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization. COLING 2022: 6447-6456 - [c7]Junnan Liu, Yanhui Wei, Zhilin Liu, Wenjia Ouyang:
Improving the Stability of Underwater Image Recovery via Multi-stage Integrating Enhancement. MMSP 2022: 1-7 - [c6]Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang:
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. SIGIR 2022: 2617-2622 - 2021
- [c5]Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu:
Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network. AAAI 2021: 3599-3607 - [i1]Jinchao Zhu, Xiaoyu Zhang, Xian Fang, Junnan Liu:
Perception-and-Regulation Network for Salient Object Detection. CoRR abs/2107.12560 (2021) - 2020
- [j5]Junnan Liu, Xing Zhai, Xianfu Liao:
Bibliometric analysis on cardiovascular disease treated by traditional Chinese medicines based on big data. Int. J. Parallel Emergent Distributed Syst. 35(3): 323-339 (2020) - [j4]Junnan Liu
, Xiaoyu Zhang
:
Parameter-Adaptive Compensation (PAC) for Processing Underwater Selective Absorption. IEEE Signal Process. Lett. 27: 2178-2182 (2020)
2010 – 2019
- 2019
- [j3]Han Lin, Mingfan Li, Chengfan Jia
, Junnan Liu, Hong An:
Degree-of-Node Task Scheduling of Fine-Grained Parallel Programs on Heterogeneous Systems. J. Comput. Sci. Technol. 34(5): 1096-1108 (2019) - [c4]Junnan Liu, Chengfan Jia, Junshi Chen, Han Lin, Xu Jin, Hong An:
An effective method for operations placement in Tensor Flow. HP3C 2019: 13-19 - [c3]Jiwen Yu, Haibo Su, Junnan Liu, Zhizheng Yang, Zhouyangzi Zhang, Yixin Zhu, Lu Yang, Bingliang Jiao:
A Strong Baseline for Tiger Re-ID and its Bag of Tricks. ICCV Workshops 2019: 302-309 - 2018
- [j2]Chengfan Jia
, Junnan Liu, Xu Jin, Han Lin, Hong An, Wenting Han, Zheng Wu, Mengxian Chi:
Improving the Performance of Distributed TensorFlow with RDMA. Int. J. Parallel Program. 46(4): 674-685 (2018) - [c2]Junnan Liu, Xing Zhai, Aiqing Han, Shuang Ding, Min Wang, Peng Yin:
The Future Development of Traditional Chinese Medicine from the Perspective of Artificial Intelligence with Big Data. BigDataSecurity/HPSC/IDS 2018: 204-209 - [c1]Xing Zhai, Junnan Liu, Aiqing Han, Shuang Ding, Youliang Huang, Peng Yin, Min Wang:
Research on the Biological Basis of Treating Different Diseases with Same Method Based on Big Data Mining and Complex Network. BigDataSecurity/HPSC/IDS 2018: 264-269 - 2017
- [j1]Junnan Liu, Xingjun Zhang, Keith J. Blow, Scott Fowler
:
Performance analysis of packet layer FEC codes and interleaving in FSO channels. IET Commun. 11(13): 2042-2048 (2017)
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last updated on 2024-08-07 21:33 CEST by the dblp team
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