Junnan Liu

Orcid: 0000-0003-4213-6777

According to our database1, Junnan Liu authored at least 19 papers between 2017 and 2023.

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Bibliography

2023
A Method for Intelligent Road Network Selection Based on Graph Neural Network.
ISPRS Int. J. Geo Inf., August, 2023

Perception-and-Regulation Network for Salient Object Detection.
IEEE Trans. Multim., 2023

LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

POINE<sup>2</sup>: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Min-Leader Optimal Scheduling Algorithm in Kubernetes Clusters.
Proceedings of the Advances in Artificial Intelligence, Big Data and Algorithms - Proceedings of the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2023), 2023

2022
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Improving the Stability of Underwater Image Recovery via Multi-stage Integrating Enhancement.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Perception-and-Regulation Network for Salient Object Detection.
CoRR, 2021

Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Parameter-Adaptive Compensation (PAC) for Processing Underwater Selective Absorption.
IEEE Signal Process. Lett., 2020

Bibliometric analysis on cardiovascular disease treated by traditional Chinese medicines based on big data.
Int. J. Parallel Emergent Distributed Syst., 2020

2019
Degree-of-Node Task Scheduling of Fine-Grained Parallel Programs on Heterogeneous Systems.
J. Comput. Sci. Technol., 2019

A Strong Baseline for Tiger Re-ID and its Bag of Tricks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

An effective method for operations placement in Tensor Flow.
Proceedings of the 3rd International Conference on High Performance Compilation, 2019

2018
Improving the Performance of Distributed TensorFlow with RDMA.
Int. J. Parallel Program., 2018

Research on the Biological Basis of Treating Different Diseases with Same Method Based on Big Data Mining and Complex Network.
Proceedings of the 4th IEEE International Conference on Big Data Security on Cloud, 2018

The Future Development of Traditional Chinese Medicine from the Perspective of Artificial Intelligence with Big Data.
Proceedings of the 4th IEEE International Conference on Big Data Security on Cloud, 2018

2017
Performance analysis of packet layer FEC codes and interleaving in FSO channels.
IET Commun., 2017


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