| Learning knowledge graph embedding with heterogeneous relation attention networks Z Li, H Liu*, Z Zhang, T Liu, NN Xiong IEEE Transactions on Neural Networks and Learning Systems, 2022 | 311 | 2022 |
| A content-based recommendation algorithm for learning resources J Shu, X Shen, H Liu, B Yi, Z Zhang Multimedia Systems 24 (2), 163-173, 2018 | 293 | 2018 |
| MFDNet: Collaborative Poses Perception and Matrix Fisher Distribution for Head Pose Estimation H Liu, S Fang, Z Zhang, D Li, K Lin, J Wang IEEE Transactions on Multimedia 24, 2449 - 2460, 2022 | 230 | 2022 |
| Deep matrix factorization with implicit feedback embedding for recommendation system B Yi, X Shen, H Liu*, Z Zhang, W Zhang, S Liu, N Xiong IEEE Transactions on Industrial Informatics 15 (8), 4591-4601, 2019 | 230 | 2019 |
| Identifying key factors affecting college students’ adoption of the e-learning system in mandatory blended learning environments Z Zhang, T Cao, J Shu, H Liu Interactive Learning Environments, 1-14, 2021 | 207 | 2021 |
| EDMF: Efficient Deep Matrix Factorization with Review Feature Learning for Industrial Recommender System H Liu, C Zheng, D Li*, X Shen, K Lin, J Wang, Z Zhang, Z Zhang, ... IEEE Transactions on Industrial Informatics 18 (7), 4361 - 4371, 2022 | 203 | 2022 |
| ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human-Computer Interaction H Liu, T Liu, Z Zhang, AK Sangaiah, B Yang, YF Li IEEE Transactions on Industrial Informatics 18 (10), 7107 - 7117, 2022 | 197 | 2022 |
| Flexible FTIR spectral imaging enhancement for industrial robot infrared vision sensing T Liu, H Liu, YF Li, Z Chen, Z Zhang, S Liu IEEE Transactions on Industrial Informatics 16 (1), 544-554, 2020 | 151 | 2020 |
| Multi-scale dynamic convolutional network for knowledge graph embedding Z Zhang, Z Li, H Liu*, NN Xiong IEEE Transactions on Knowledge and Data Engineering, 2022 | 138 | 2022 |
| Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction H Liu, H Nie, Z Zhang, YF Li Neurocomputing 433, 310-322, 2021 | 136 | 2021 |
| EHPE: skeleton cues-based gaussian coordinate encoding for efficient human pose estimation H Liu, T Liu, Y Chen, Z Zhang, YF Li IEEE Transactions on Multimedia, 2024 | 124 | 2024 |
| Data-driven Online Learning Engagement Detection via Facial Expression and Mouse Behavior Recognition Technology Z Zhang, Z Li, H Liu*, T Cao, S Liu Journal of Educational Computing Research 58 (1), 63-86, 2020 | 121 | 2020 |
| Simultaneous destriping and denoising for remote sensing images with unidirectional total variation and sparse representation Y Chang, L Yan, H Fang, H Liu IEEE Geoscience and Remote Sensing Letters 11 (6), 1051-1055, 2013 | 118 | 2013 |
| Efficient blind signal reconstruction with wavelet transforms regularization for educational robot infrared vision sensing T Liu, H Liu, Y Li, Z Zhang, S Liu IEEE/ASME Transactions on Mechatronics 24 (1), 384-394, 2019 | 113 | 2019 |
| TransIFC: Invariant Cues-aware Feature Concentration Learning for Efficient Fine-grained Bird Image Classification H Liu, C Zhang, Y Deng, B Xie, T Liu, Z Zhang, YF Li IEEE Transactions on Multimedia, 2024 | 112 | 2024 |
| Multi-perspective social recommendation method with graph representation learning H Liu, C Zheng, D Li, Z Zhang, K Lin, X Shen, NN Xiong, J Wang Neurocomputing 468, 469-481, 2022 | 105 | 2022 |
| Fast blind instrument function estimation method for industrial infrared spectrometers T Liu, H Liu, Z Chen, AM Lesgold IEEE Transactions on Industrial Informatics 14 (12), 5268-5277, 2018 | 97 | 2018 |
| Robust destriping method with unidirectional total variation and framelet regularization Y Chang, H Fang, L Yan, H Liu Optics express 21 (20), 23307-23323, 2013 | 83 | 2013 |
| Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System X Shen, B Yi, H Liu*, W Zhang, Z Zhang, S Liu, N Xiong IEEE Transactions on Knowledge and Data Engineering 33 (5), 1906-1918, 2021 | 82 | 2021 |
| Automatic Recommendation Technology for Learning Resources with Convolutional Neural Network X Shen, B Yi, Z Zhang, J Shu, H Liu 2016 International Symposium on Educational Technology (ISET), 30-34, 2016 | 79 | 2016 |
Zhaoli Zhang (张昭理)Professor, Central China Normal UniversityZweryfikowany adres z ccnu.edu.cn