Junnan Liu

According to our database, Junnan Liu authored at least 29 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Semi-supervised suppressed possibilistic Gustafsan-Kessel clustering algorithm based on local information and knowledge propagation.

Haiyan Yu, Junnan Liu, Kaiming Gong

Expert Syst. Appl., 2025

2024

Research and optimization of task scheduling algorithm based on heterogeneous multi-core processor.

Junnan Liu, Yifan Liu, Yongkang Ding

Clust. Comput., December, 2024

An archive-based method for efficiently handling small file problems in HDFS.

Junnan Liu, Shengyi Jin, Dong Wang, Han Li

Concurr. Comput. Pract. Exp., November, 2024

A balanced leader election algorithm based on replica distribution in Kubernetes cluster.

Junnan Liu, Yongkang Ding, Yifan Liu

Clust. Comput., September, 2024

An Underwater Image Enhancement Method Based on Balanced Adaption Compensation.

Wenjia Ouyang, Junnan Liu, Yanhui Wei

IEEE Signal Process. Lett., 2024

XRAG: eXamining the Core - Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation.

Qianren Mao, Yangyifei Luo, Jinlong Zhang, Hanwen Hao, Zhilong Cao, Xiaolong Wang, Xiao Guan, Zhenting Huang, Weifeng Jiang, Shuyu Guo, Zhentao Han, Qili Zhang, Siyuan Tao, Yujie Liu, Junnan Liu, Zhixing Tan, Jie Sun, Bo Li, Xudong Liu, Richong Zhang, Jianxin Li

CoRR, 2024

Are Your LLMs Capable of Stable Reasoning?

Junnan Liu, Hongwei Liu, Linchen Xiao, Ziyi Wang, Kuikun Liu, Songyang Gao, Wenwei Zhang, Songyang Zhang, Kai Chen

CoRR, 2024

Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence.

Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu

CoRR, 2024

KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning.

Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

S-Evaluator: Enhance Factual Consistency Evaluator with Adversarial Data Synthesized by Large Language Model.

Junnan Liu, Wenlong Du, Qingquan Li, Xuewei Wang, Zhongjun Zhou, Jin Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

A Method for Intelligent Road Network Selection Based on Graph Neural Network.

Xuan Guo, Junnan Liu, Fang Wu, Haizhong Qian

ISPRS Int. J. Geo Inf., August, 2023

Perception-and-Regulation Network for Salient Object Detection.

Jinchao Zhu, Xiaoyu Zhang, Xian Fang, Yuxuan Wang, Panlong Tan, Junnan Liu

IEEE Trans. Multim., 2023

LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs.

Junnan Liu, Qianren Mao, Chenghua Lin, Yangqiu Song, Jianxin Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

POINE²: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs.

Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang

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.

Yongkang Ding, Junnan Liu, Xin He

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.

Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang

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.

Junnan Liu, Yanhui Wei, Zhilin Liu, Wenjia Ouyang

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.

Yiming Wang, Qianren Mao, Junnan Liu, Weifeng Jiang, Hongdong Zhu, Jianxin Li

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Perception-and-Regulation Network for Salient Object Detection.

Jinchao Zhu, Xiaoyu Zhang, Xian Fang, Junnan Liu

CoRR, 2021

Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network.

Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Parameter-Adaptive Compensation (PAC) for Processing Underwater Selective Absorption.

Junnan Liu, Xiaoyu Zhang

IEEE Signal Process. Lett., 2020

Bibliometric analysis on cardiovascular disease treated by traditional Chinese medicines based on big data.

Junnan Liu, Xing Zhai, Xianfu Liao

Int. J. Parallel Emergent Distributed Syst., 2020

2019

Degree-of-Node Task Scheduling of Fine-Grained Parallel Programs on Heterogeneous Systems.

Han Lin, Mingfan Li, Chengfan Jia, Junnan Liu, Hong An

J. Comput. Sci. Technol., 2019

A Strong Baseline for Tiger Re-ID and its Bag of Tricks.

Jiwen Yu, Haibo Su, Junnan Liu, Zhizheng Yang, Zhouyangzi Zhang, Yixin Zhu, Lu Yang, Bingliang Jiao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

An effective method for operations placement in Tensor Flow.

Junnan Liu, Chengfan Jia, Junshi Chen, Han Lin, Xu Jin, Hong An

Proceedings of the 3rd International Conference on High Performance Compilation, 2019

2018

Improving the Performance of Distributed TensorFlow with RDMA.

Chengfan Jia, Junnan Liu, Xu Jin, Han Lin, Hong An, Wenting Han, Zheng Wu, Mengxian Chi

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.

Xing Zhai, Junnan Liu, Aiqing Han, Shuang Ding, Youliang Huang, Peng Yin, Min Wang

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.

Junnan Liu, Xing Zhai, Aiqing Han, Shuang Ding, Min Wang, Peng Yin

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.

Junnan Liu, Xingjun Zhang, Keith J. Blow, Scott Fowler

IET Commun., 2017