Tingting Liu

According to our database, Tingting Liu authored at least 40 papers between 2015 and 2026.

Collaborative distances:

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

2026

Texture Affinity Cue-Aware Relationship Representation via Transformers for Facial Expression Recognition in Affective Robots.

Hai Liu, Zhibing Liu, Feifei Li, Tingting Liu, Zhaoli Zhang, Neal N. Xiong, Youfu Li

IEEE Trans. Ind. Informatics, May, 2026

MHPE: Learning Morphology Relationships for Robust Head Pose Estimation With Facial Rotation Representation.

Tingting Liu, Jianping Ju, Zhixiong Song, Shijia Qian, Ning Rao, Hai Liu, Youfu Li

IEEE Trans. Circuits Syst. Video Technol., May, 2026

HomLLM: Exploiting Semantic Homology Relationship for Fine-Grained Bird Image Classification via Large Language Models.

Hai Liu, Yu Song, Tingting Liu, Hao Zheng, Lin Chen, Zhaoli Zhang, Youfu Li

IEEE Trans. Neural Networks Learn. Syst., March, 2026

HPCTrans: Heterogeneous Plumage Cues-Aware Texton Correlation Representation for FBIC via Transformers.

Hai Liu, Shuang Zeng, Liqian Deng, Tingting Liu, Xionghua Liu, Zhaoli Zhang, You-Fu Li

IEEE Trans. Circuits Syst. Video Technol., January, 2026

SkeFormer: Skeletal Cues-Aware Bone Point Relationship Learning for Efficient FBIC via Transformers.

Hai Liu, Qiang Chen, Zhibing Liu, Tingting Liu, Li Zhao, Zhaoli Zhang, You-Fu Li

IEEE Trans. Multim., 2026

SC2R: similarity cues-aware evolutionary relationship mining for fine-grained bird image classification.

Hai Liu, Feifei Li, Zhibing Liu, Qiang Chen, Zhiyi Du, Tingting Liu, Zhaoli Zhang, You Fu Li

Pattern Recognit., 2026

TransSIL: A Silhouette Cue-Aware Image Classification Framework for Bird Ecological Monitoring Systems.

Hai Liu, Yu Song, Tingting Liu, Lin Chen, Zhaoli Zhang, Xiaolan Yang, Neal N. Xiong

IEEE Internet Things J., 2026

CoSimR: Similarity Cues-Aware Consanguinity Relationship Mining Framework for IoT-Based Bird Monitoring Systems.

Tingting Liu, Zhibing Liu, Qiang Chen, Hai Liu, Zhaoli Zhang, Neal N. Xiong

IEEE Internet Things J., 2026

CR2Former: Contour-relation aware representation learning for fine-grained bird image classification via Transformers.

Hai Liu, Hao Zheng, Tingting Liu, Yu Song, Xiaolan Yang, Zhaoli Zhang

Neurocomputing, 2026

DRKT: Learning differential relationships for efficient knowledge tracing with learner's knowledge internalization representation.

Zhaoli Zhang, Jiahao Li, Hai Liu, Erqi Zhang, Tingting Liu, Minhong Wang

Expert Syst. Appl., 2026

2025

MDT: A multiscale differencing transformer with sequence feature relationship mining for robust action recognition.

Zengzhao Chen, Fumei Ma, Hai Liu, Wenkai Huang, Tingting Liu

Appl. Intell., August, 2025

TransIFC: Invariant Cues-Aware Feature Concentration Learning for Efficient Fine-Grained Bird Image Classification.

Hai Liu, Cheng Zhang, Yongjian Deng, Bochen Xie, Tingting Liu, Youfu Li

IEEE Trans. Multim., 2025

Exploiting module evolution correlation relationship for fine-grained bird image classification with structural functional representation.

Shuang Zeng, Hai Liu, Tingting Liu, Qiuxia Liu, Minhong Wang, Bing Yang, Zhaoli Zhang

Neurocomputing, 2025

ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis.

Tingting Liu, Minghong Wang, Bing Yang, Hai Liu, Shaoxin Yi

Neurocomputing, 2025

HRHPE: FRoI guides heterogeneous relationship representation learning for precise head pose estimation.

Hai Liu, Shijia Qian, Tingting Liu, Zelin Cao, Minhong Wang, Jianping Ju, Zhaoli Zhang

Neurocomputing, 2025

2024

MMATrans: Muscle Movement Aware Representation Learning for Facial Expression Recognition via Transformers.

Hai Liu, Qiyun Zhou, Cheng Zhang, Junyan Zhu, Tingting Liu, Zhaoli Zhang, Youfu Li

IEEE Trans. Ind. Informatics, December, 2024

MelTrans: Mel-Spectrogram Relationship-Learning for Speech Emotion Recognition via Transformers.

Hui Li, Jiawen Li, Hai Liu, Tingting Liu, Qiang Chen, Xinge You

Sensors, September, 2024

LDCNet: Limb Direction Cues-Aware Network for Flexible HPE in Industrial Behavioral Biometrics Systems.

Tingting Liu, Hai Liu, Bing Yang, Zhaoli Zhang

IEEE Trans. Ind. Informatics, June, 2024

EHPE: Skeleton Cues-Based Gaussian Coordinate Encoding for Efficient Human Pose Estimation.

Hai Liu, Tingting Liu, Yu Chen, Zhaoli Zhang, You-Fu Li

IEEE Trans. Multim., 2024

2023

MSRANet: Learning discriminative embeddings for speaker verification via channel and spatial attention mechanism in alterable scenarios.

Qiuyu Zheng, Zengzhao Chen, Hai Liu, Yuanyuan Lu, Jiawen Li, Tingting Liu

Expert Syst. Appl., May, 2023

Orientation Cues-Aware Facial Relationship Representation for Head Pose Estimation via Transformer.

Hai Liu, Cheng Zhang, Yongjian Deng, Tingting Liu, Zhaoli Zhang, Youfu Li

IEEE Trans. Image Process., 2023

Vision-based human pose estimation for learning behaviour analysis: a review.

Li Zhao, Dazheng Shen, Tingting Liu, Zhuowei Wang, Weixin Li, Hai Liu, Junya Si, Jiawen Li, Zixin Li

Proceedings of the 8th International Conference on Information Systems Engineering, 2023

Deep learning for speech emotion recognition: a technical tutorial on the state of the art.

Hai Liu, Jiawen Li, Li Zhao, Junya Si, Weixin Li, Dazhen Shen, Zixin Li, Tingting Liu

Proceedings of the 8th International Conference on Information Systems Engineering, 2023

Gaze estimation methods based on deep learning: research status, challenge and future.

Tingting Liu, Zixin Li, Li Zhao, Weixin Li, Junya Si, Hai Liu, Dazhen Shen, Jiawen Li

Proceedings of the 8th International Conference on Information Systems Engineering, 2023

2022

Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks.

Zhifei Li, Hai Liu, Zhaoli Zhang, Tingting Liu, Neal N. Xiong

IEEE Trans. Neural Networks Learn. Syst., 2022

ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human-Computer Interaction.

Hai Liu, Tingting Liu, Zhaoli Zhang, Arun Kumar Sangaiah, Bing Yang, Youfu Li

IEEE Trans. Ind. Informatics, 2022

Understanding Learner Continuance Intention: A Comparison of Live Video Learning, Pre-Recorded Video Learning and Hybrid Video Learning in COVID-19 Pandemic.

Xuan Wang, Tingting Liu, Jixin Wang, Jun Tian

Int. J. Hum. Comput. Interact., 2022

Affinity Relation-aware Fine-grained Bird Image Recognition for Robot Vision Tracking via Transformers.

Hai Liu, Cheng Zhang, Bochen Xie, Tingting Liu, Qingsong Xu, Youfu Li

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2021

NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom.

Tingting Liu, Jixin Wang, Bing Yang, Xuan Wang

Neurocomputing, 2021

Recalibration convolutional networks for learning interaction knowledge graph embedding.

Zhifei Li, Hai Liu, Zhaoli Zhang, Tingting Liu, Jiangbo Shu

Neurocomputing, 2021

2020

Flexible FTIR Spectral Imaging Enhancement for Industrial Robot Infrared Vision Sensing.

Tingting Liu, Hai Liu, Youfu Li, Zengzhao Chen, Zhaoli Zhang, Sannyuya Liu

IEEE Trans. Ind. Informatics, 2020

2019

DISR: Deep Infrared Spectral Restoration Algorithm for Robot Sensing and Intelligent Visual Tracking Systems.

Hai Liu, Youfu Li, Dan Su, Zhaoli Zhang, Sannyuya Liu, Tingting Liu

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Fast Blind Instrument Function Estimation Method for Industrial Infrared Spectrometers.

Tingting Liu, Hai Liu, Zengzhao Chen, Alan M. Lesgold

IEEE Trans. Ind. Informatics, 2018

Multi-modal hand gesture designing in multi-screen touchable teaching system for human-computer interaction.

Tingting Liu, Zengzhao Chen, Hai Liu, Zhaoli Zhang, Yingying Chen

Proceedings of the 2nd International Conference on Advances in Image Processing, 2018

2017

A Computer-assisted Teaching System with Gesture Recognition Technology and Its Applications.

Zengzhao Chen, Xiaochao Feng, Tingting Liu, Cong Wang, Chao Zhang

Proceedings of the International Conference on Digital Technology in Education, 2017

Novelty Blended Learning Pattern and Its Application in English Language Teaching.

Tingting Liu, Zengzhao Chen, Alan M. Lesgold, Xiaochao Feng, Cong Wang

Proceedings of the International Conference on Digital Technology in Education, 2017

2016

Blind image restoration with sparse priori regularization for passive millimeter-wave images.

Tingting Liu, Zengzhao Chen, Sanya Liu, Zhaoli Zhang, Jiangbo Shu

J. Vis. Commun. Image Represent., 2016

Robust blind deconvolution for PMMW images with sparsity presentation.

Tingting Liu, Zengzhao Chen, Hai Liu, Sanya Liu, Zhaoli Zhang, Taihe Cao

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015

Destriping algorithm with L0 sparsity prior for remote sensing images.

Hai Liu, Zhaoli Zhang, Sanya Liu, Tingting Liu, Yi Chang

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Parametric spectral signal restoration via maximum entropy constraint and its application.

Hai Liu, Zhaoli Zhang, Sanya Liu, Jiangbo Shu, Tingting Liu

Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015