Junnan Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Traditional Chinese Medicine

Extractive Summarization

Top Venues

IEEE Signal Process. Lett.

BigDataSecurity/HPSC/IDS

Publications

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)
Wenjia Ouyang, Junnan Liu, Yanhui Wei
An Underwater Image Enhancement Method Based on Balanced Adaption Compensation. IEEE Signal Process. Lett. 31 (2024)
Jinchao Zhu, Xiaoyu Zhang, Xian Fang, Yuxuan Wang, Panlong Tan, Junnan Liu
Perception-and-Regulation Network for Salient Object Detection. IEEE Trans. Multim. 25 (2023)
Yongkang Ding, Junnan Liu, Xin He
Min-Leader Optimal Scheduling Algorithm in Kubernetes Clusters. CAIBDA (2023)
Junnan Liu, Qianren Mao, Chenghua Lin, Yangqiu Song, Jianxin Li
LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs. EMNLP (Findings) (2023)
Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang
: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs. ECAI (2023)
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) (2023)
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)
Junnan Liu, Yanhui Wei, Zhilin Liu, Wenjia Ouyang
Improving the Stability of Underwater Image Recovery via Multi-stage Integrating Enhancement. MMSP (2022)
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)
Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu
Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network. AAAI (2021)
Jinchao Zhu, Xiaoyu Zhang, Xian Fang, Junnan Liu
Perception-and-Regulation Network for Salient Object Detection. CoRR (2021)
Junnan Liu, Qianren Mao, Bang Liu, Hao Peng, Hongdong Zhu, Jianxin Li
Noised Consistency Training for Text Summarization. CoRR (2021)
Junnan Liu, Xiaoyu Zhang
Parameter-Adaptive Compensation (PAC) for Processing Underwater Selective Absorption. IEEE Signal Process. Lett. 27 (2020)
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) (2020)
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) (2019)
Junnan Liu, Chengfan Jia, Junshi Chen, Han Lin, Xu Jin, Hong An
An effective method for operations placement in Tensor Flow. HP3C (2019)
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)
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)
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)
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) (2018)
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) (2017)