Jiaxing Liu

According to our database, Jiaxing Liu authored at least 32 papers between 2018 and 2023.

Collaborative distances:

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

2023

Real-time infrared and visible image fusion network using adaptive pixel weighting strategy.

Xuchong Zhang, Han Zhai, Jiaxing Liu, Zhiping Wang, Hongbin Sun

Inf. Fusion, November, 2023

Intelligent design of display space layout based on two-stage deep learning network.

Jiaxing Liu, Yongchao Zhu, Yin Cui

J. Comput. Methods Sci. Eng., 2023

Improving Fine-tuning Pre-trained Models on Small Source Code Datasets via Variational Information Bottleneck.

Jiaxing Liu, Chaofeng Sha, Xin Peng

Proceedings of the IEEE International Conference on Software Analysis, 2023

Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning.

Zoie Shui-Yee Wong, Neil Waters, Nicholas I-Hsien Kuo, Jiaxing Liu

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models.

Jiaxing Liu, Chaofeng Sha, Xin Peng

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

No-Reference Quality Assessment for HDR Images Based on Multi-scale Retinex Decomposition.

Donghui Wan, Yehui Liu, Xiuhua Jiang, Hongtao Yang, Ling Lei, Jiaxing Liu

Proceedings of the Data Mining and Big Data - 8th International Conference, 2023

2022

Generating and Restoring Private Face Images for Internet of Vehicles Based on Semantic Features and Adversarial Examples.

Jingjing Yang, Jiaxing Liu, Runkai Han, Jinzhao Wu

IEEE Trans. Intell. Transp. Syst., 2022

Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information.

Lili Guo, Longbiao Wang, Jianwu Dang, Yahui Fu, Jiaxing Liu, Shifei Ding

IEEE Multim., 2022

Context- and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition.

Yahui Fu, Shogo Okada, Longbiao Wang, Lili Guo, Yaodong Song, Jiaxing Liu, Jianwu Dang

IEEE Multim., 2022

Talking Head Generation Driven by Speech-Related Facial Action Units and Audio- Based on Multimodal Representation Fusion.

Sen Chen, Zhilei Liu, Jiaxing Liu, Longbiao Wang

CoRR, 2022

Salmon-Easy: An alignment-free RNA-seq quantitative strategy based on partial genome indexing.

Qifang Wu, Jiaxing Liu, Zhijie Zhang, Anqi Ren, Xiyu Liu, Leyuan Bao, Tongcun Zhang, Haichuan Zhu

Proceedings of the ICBBT 2022: 14th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 27, 2022

Multi-Stage Graph Representation Learning for Dialogue-Level Speech Emotion Recognition.

Yaodong Song, Jiaxing Liu, Longbiao Wang, Ruiguo Yu, Jianwu Dang

Proceedings of the IEEE International Conference on Acoustics, 2022

Domain-Invariant Feature Learning for Cross Corpus Speech Emotion Recognition.

Yuan Gao, Shogo Okada, Longbiao Wang, Jiaxing Liu, Jianwu Dang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Evaluating resampling methods and structured features to improve fall incident report identification by the severity level.

Jiaxing Liu, Zoie Shui-Yee Wong, Hing-Yu So, Kwok Leung Tsui

J. Am. Medical Informatics Assoc., 2021

A Sentiment Similarity-Oriented Attention Model with Multi-task Learning for Text-Based Emotion Recognition.

Yahui Fu, Lili Guo, Longbiao Wang, Zhilei Liu, Jiaxing Liu, Jianwu Dang

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Automatic Patient Fall Outcome Extraction Using Narrative Incident Reports.

Jiaxing Liu, Zoie Shui-Yee Wong, Hing-Yu So

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Time-Frequency Representation Learning with Graph Convolutional Network for Dialogue-Level Speech Emotion Recognition.

Jiaxing Liu, Yaodong Song, Longbiao Wang, Jianwu Dang, Ruiguo Yu

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Metric Learning Based Feature Representation with Gated Fusion Model for Speech Emotion Recognition.

Yuan Gao, Jiaxing Liu, Longbiao Wang, Jianwu Dang

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition.

Yahui Fu, Shogo Okada, Longbiao Wang, Lili Guo, Yaodong Song, Jiaxing Liu, Jianwu Dang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Multimodal Emotion Recognition with Capsule Graph Convolutional Based Representation Fusion.

Jiaxing Liu, Sen Chen, Longbiao Wang, Zhilei Liu, Yahui Fu, Lili Guo, Jianwu Dang

Proceedings of the IEEE International Conference on Acoustics, 2021

Domain-Adversarial Autoencoder with Attention Based Feature Level Fusion for Speech Emotion Recognition.

Yuan Gao, Jiaxing Liu, Longbiao Wang, Jianwu Dang

Proceedings of the IEEE International Conference on Acoustics, 2021

Talking Head Generation with Audio and Speech Related Facial Action Units.

Sen Chen, Zhilei Liu, Jiaxing Liu, Zhengxiang Yan, Longbiao Wang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Facial Image Privacy Protection Based on Principal Components of Adversarial Segmented Image Blocks.

Jingjing Yang, Jiaxing Liu, Jinzhao Wu

IEEE Access, 2020

Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation.

Jiaxing Liu, Zhilei Liu, Longbiao Wang, Yuan Gao, Lili Guo, Jianwu Dang

Proceedings of the Interspeech 2020, 2020

Speech Emotion Recognition with Local-Global Aware Deep Representation Learning.

Jiaxing Liu, Zhilei Liu, Longbiao Wang, Lili Guo, Jianwu Dang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A Two-Stage HMM Model for Sleep/Wake Identification via Commercial Wearable Device.

Jiaxing Liu, Yang Zhao, Boya Lai, Kwok Leung Tsui

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Exploring Hidden In-Hospital Fall Clusters from Incident Reports Using Text Analytics.

Jiaxing Liu, Zoie Shui-Yee Wong, Kwok-Leung Tsui, Hing-Yu So, Angela Kwok

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Time-Frequency Deep Representation Learning for Speech Emotion Recognition Integrating Self-attention.

Jiaxing Liu, Zhilei Liu, Longbiao Wang, Lili Guo, Jianwu Dang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Synthetic Aperture Radar Image Segmentation with Reaction Diffusion Level Set Evolution Equation in an Active Contour Model.

Jiaxing Liu, Xianbin Wen, Qingxia Meng, Haixia Xu, Liming Yuan

Remote. Sens., 2018

Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks.

Ye Yuan, Hong Huo, Peng Zhao, Jian Liu, Jiaxing Liu, Fu Xing, Tao Fang

Frontiers Comput. Neurosci., 2018

A bio-inspired SOSNN model for object recognition.

Jiaxing Liu, Guoping Zhao

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Brain-inspired hierarchical spiking neural network using unsupervised STDP rule for image classification.

Jiaxing Liu, Hong Huo, Weitai Hu, Tao Fang

Proceedings of the 10th International Conference on Machine Learning and Computing, 2018