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ORCIDJiaxing Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Journal Articles
- 2024
[j12]Jing Wang, Guohan Liu
, Jiaxing Liu, Wenjie Dong, Wanying Song:
Automatic Aircraft Identification with High Precision from SAR Images Considering Multiscale Problems and Channel Information Enhancement. Remote. Sens. 16(17): 3177 (2024)- [j11]Yuan Gao, Longbiao Wang, Jiaxing Liu, Jianwu Dang, Shogo Okada:
Adversarial Domain Generalized Transformer for Cross-Corpus Speech Emotion Recognition. IEEE Trans. Affect. Comput. 15(2): 697-708 (2024) - [j10]Yu Huang, Jiaxing Liu, Zongshi Zhang, Dui Li, Xuxin Li, Guang Wang:
Dynamic Combination Forecasting for Short-Term Photovoltaic Power. IEEE Trans. Artif. Intell. 5(10): 5277-5289 (2024) - 2023
- [j9]Xuchong Zhang, Han Zhai, Jiaxing Liu, Zhiping Wang, Hongbin Sun:
Real-time infrared and visible image fusion network using adaptive pixel weighting strategy. Inf. Fusion 99: 101863 (2023) - [j8]Jiaxing Liu, Yongchao Zhu, Yin Cui:
Intelligent design of display space layout based on two-stage deep learning network. J. Comput. Methods Sci. Eng. 23(6): 3347-3362 (2023) - 2022
- [j7]Lili Guo, Longbiao Wang, Jianwu Dang, Yahui Fu, Jiaxing Liu, Shifei Ding:
Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information. IEEE Multim. 29(2): 94-103 (2022) - [j6]Yahui Fu, Shogo Okada, Longbiao Wang, Lili Guo, Yaodong Song, Jiaxing Liu, Jianwu Dang:
Context- and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition. IEEE Multim. 29(3): 91-100 (2022) - [j5]Jingjing Yang, Jiaxing Liu, Runkai Han, Jinzhao Wu:
Generating and Restoring Private Face Images for Internet of Vehicles Based on Semantic Features and Adversarial Examples. IEEE Trans. Intell. Transp. Syst. 23(9): 16799-16809 (2022) - 2021
- [j4]Jiaxing Liu, Zoie Shui-Yee Wong, Hing-Yu So, Kwok Leung Tsui:
Evaluating resampling methods and structured features to improve fall incident report identification by the severity level. J. Am. Medical Informatics Assoc. 28(8): 1756-1764 (2021) - 2020
- [j3]Jingjing Yang, Jiaxing Liu, Jinzhao Wu:
Facial Image Privacy Protection Based on Principal Components of Adversarial Segmented Image Blocks. IEEE Access 8: 103385-103394 (2020) - 2018
- [j2]Ye Yuan, Hong Huo, Peng Zhao, Jian Liu, Jiaxing Liu, Fu Xing, Tao Fang:
Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks. Frontiers Comput. Neurosci. 12: 91 (2018) - [j1]Jiaxing Liu, Xianbin Wen, Qingxia Meng, Haixia Xu, Liming Yuan:
Synthetic Aperture Radar Image Segmentation with Reaction Diffusion Level Set Evolution Equation in an Active Contour Model. Remote. Sens. 10(6): 906 (2018)
Conference and Workshop Papers
- 2024
- [c25]Si Li, Jiaxing Liu, Peilin Li, Dichucheng Li, Xinlu Liu, Yongwei Gao, Wei Li:
Improving Drum Source Separation with Temporal-Frequency Statistical Descriptors. ICME 2024: 1-6 - [c24]Jiaxing Liu, Zoie Shui-Yee Wong, Jitendra Jonnagaddala:
Preliminary Evaluation of Fine-Tuning the OpenDeLD Deidentification Pipeline Across Multi-Center Corpora. MIE 2024: 719-723 - [c23]Jiaxing Liu, Yong Liu, Liecheng Hu:
Method of Weak Communication Signal Detection and Signal Quality Assessment at Low SNR. SSPS 2024 - 2023
- [c22]Donghui Wan, Yehui Liu, Xiuhua Jiang, Hongtao Yang, Ling Lei, Jiaxing Liu:
No-Reference Quality Assessment for HDR Images Based on Multi-scale Retinex Decomposition. DMBD (2) 2023: 59-69 - [c21]Jiaxing Liu, Chaofeng Sha, Xin Peng:
An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models. ASE 2023: 397-408 - [c20]Zoie Shui-Yee Wong, Neil Waters, Nicholas I-Hsien Kuo, Jiaxing Liu:
Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning. MedInfo 2023: 584-588 - [c19]Jiaxing Liu, Chaofeng Sha, Xin Peng:
Improving Fine-tuning Pre-trained Models on Small Source Code Datasets via Variational Information Bottleneck. SANER 2023: 331-342 - 2022
- [c18]Yuan Gao, Shogo Okada, Longbiao Wang, Jiaxing Liu, Jianwu Dang:
Domain-Invariant Feature Learning for Cross Corpus Speech Emotion Recognition. ICASSP 2022: 6427-6431 - [c17]Yaodong Song, Jiaxing Liu, Longbiao Wang, Ruiguo Yu, Jianwu Dang:
Multi-Stage Graph Representation Learning for Dialogue-Level Speech Emotion Recognition. ICASSP 2022: 6432-6436 - [c16]Qifang Wu, Jiaxing Liu, Zhijie Zhang, Anqi Ren, Xiyu Liu, Leyuan Bao, Tongcun Zhang, Haichuan Zhu:
Salmon-Easy: An alignment-free RNA-seq quantitative strategy based on partial genome indexing. ICBBT 2022: 55-64 - 2021
- [c15]Sen Chen, Zhilei Liu, Jiaxing Liu, Zhengxiang Yan, Longbiao Wang:
Talking Head Generation with Audio and Speech Related Facial Action Units. BMVC 2021: 353 - [c14]Yuan Gao, Jiaxing Liu, Longbiao Wang, Jianwu Dang:
Domain-Adversarial Autoencoder with Attention Based Feature Level Fusion for Speech Emotion Recognition. ICASSP 2021: 6314-6318 - [c13]Jiaxing Liu, Sen Chen, Longbiao Wang, Zhilei Liu, Yahui Fu, Lili Guo, Jianwu Dang:
Multimodal Emotion Recognition with Capsule Graph Convolutional Based Representation Fusion. ICASSP 2021: 6339-6343 - [c12]Yahui Fu, Shogo Okada, Longbiao Wang, Lili Guo, Yaodong Song, Jiaxing Liu, Jianwu Dang:
CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition. ICME 2021: 1-6 - [c11]Yuan Gao, Jiaxing Liu, Longbiao Wang, Jianwu Dang:
Metric Learning Based Feature Representation with Gated Fusion Model for Speech Emotion Recognition. Interspeech 2021: 4503-4507 - [c10]Jiaxing Liu, Yaodong Song, Longbiao Wang, Jianwu Dang, Ruiguo Yu:
Time-Frequency Representation Learning with Graph Convolutional Network for Dialogue-Level Speech Emotion Recognition. Interspeech 2021: 4523-4527 - [c9]Jiaxing Liu, Zoie Shui-Yee Wong, Hing-Yu So:
Automatic Patient Fall Outcome Extraction Using Narrative Incident Reports. MedInfo 2021: 724-728 - [c8]Yahui Fu, Lili Guo, Longbiao Wang, Zhilei Liu, Jiaxing Liu, Jianwu Dang:
A Sentiment Similarity-Oriented Attention Model with Multi-task Learning for Text-Based Emotion Recognition. MMM (1) 2021: 278-289 - 2020
- [c7]Jiaxing Liu, Zhilei Liu, Longbiao Wang, Lili Guo, Jianwu Dang:
Speech Emotion Recognition with Local-Global Aware Deep Representation Learning. ICASSP 2020: 7174-7178 - [c6]Jiaxing Liu, Zhilei Liu, Longbiao Wang, Yuan Gao, Lili Guo, Jianwu Dang:
Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation. INTERSPEECH 2020: 2337-2341 - 2019
- [c5]Jiaxing Liu, Zhilei Liu, Longbiao Wang, Lili Guo, Jianwu Dang:
Time-Frequency Deep Representation Learning for Speech Emotion Recognition Integrating Self-attention. ICONIP (4) 2019: 681-689 - [c4]Jiaxing Liu, Zoie Shui-Yee Wong, Kwok-Leung Tsui, Hing-Yu So, Angela Kwok:
Exploring Hidden In-Hospital Fall Clusters from Incident Reports Using Text Analytics. MedInfo 2019: 1526-1527 - [c3]Jiaxing Liu, Yang Zhao, Boya Lai, Kwok Leung Tsui:
A Two-Stage HMM Model for Sleep/Wake Identification via Commercial Wearable Device. SMC 2019: 825-829 - 2018
- [c2]Jiaxing Liu, Hong Huo, Weitai Hu, Tao Fang:
Brain-inspired hierarchical spiking neural network using unsupervised STDP rule for image classification. ICMLC 2018: 230-235 - [c1]Jiaxing Liu, Guoping Zhao:
A bio-inspired SOSNN model for object recognition. IJCNN 2018: 1-8
Informal and Other Publications
- 2024
- [i3]Sheng Wu, Jiaxing Liu, Longbiao Wang, Dongxiao He, Xiaobao Wang, Jianwu Dang:
AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations. CoRR abs/2407.00743 (2024) - 2022
- [i2]Sen Chen, Zhilei Liu, Jiaxing Liu, Longbiao Wang:
Talking Head Generation Driven by Speech-Related Facial Action Units and Audio- Based on Multimodal Representation Fusion. CoRR abs/2204.12756 (2022) - 2021
- [i1]Sen Chen, Zhilei Liu, Jiaxing Liu, Zhengxiang Yan, Longbiao Wang:
Talking Head Generation with Audio and Speech Related Facial Action Units. CoRR abs/2110.09951 (2021)
Coauthor Index
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