| Interpretable image recognition by constructing transparent embedding space J Wang, H Liu, X Wang, L Jing Proceedings of the IEEE/CVF international conference on computer vision, 895-904, 2021 | 75 | 2021 |
| Web-supervised network with softly update-drop training for fine-grained visual classification C Zhang, Y Yao, H Liu, GS Xie, X Shu, T Zhou, Z Zhang, F Shen, Z Tang Proceedings of the AAAI conference on artificial intelligence 34 (07), 12781 …, 2020 | 64 | 2020 |
| Social recommendation with learning personal and social latent factors H Liu, L Jing, J Yu, MK Ng IEEE Transactions on Knowledge and Data Engineering 33 (7), 2956-2970, 2021 | 43 | 2021 |
| A review of high-performance MEMS sensors for resource exploration and geophysical applications HF Liu, ZC Luo, ZK Hu, SQ Yang, LC Tu, ZB Zhou, M Kraft Petroleum Science 19 (6), 2631-2648, 2022 | 41 | 2022 |
| A nano-g micromachined seismic sensor for levelling-free measurements W Wu, J Liu, J Fan, D Peng, H Liu, L Tu Sensors and Actuators A: Physical 280, 238-244, 2018 | 32 | 2018 |
| Hsi road: a hyper spectral image dataset for road segmentation J Lu, H Liu, Y Yao, S Tao, Z Tang, J Lu 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 31 | 2020 |
| Exploiting web images for fine-grained visual recognition by eliminating open-set noise and utilizing hard examples H Liu, C Zhang, Y Yao, XS Wei, F Shen, Z Tang, J Zhang IEEE Transactions on Multimedia 24, 546-557, 2021 | 30 | 2021 |
| Deep generative ranking for personalized recommendation H Liu, J Wen, L Jing, J Yu Proceedings of the 13th ACM Conference on Recommender Systems, 34-42, 2019 | 30 | 2019 |
| Survey of matrix factorization based recommendation methods by integrating social information 刘华锋， 景丽萍， 于剑 Journal of Software 29 (2), 340-362, 2017 | 28 | 2017 |
| Fecanet: Boosting few-shot semantic segmentation with feature-enhanced context-aware network H Liu, P Peng, T Chen, Q Wang, Y Yao, XS Hua IEEE Transactions on Multimedia, 2023 | 27 | 2023 |
| Co-ldl: A co-training-based label distribution learning method for tackling label noise Z Sun, H Liu, Q Wang, T Zhou, Q Wu, Z Tang IEEE Transactions on Multimedia 24, 1093-1104, 2021 | 25 | 2021 |
| Deep representation learning for road detection using Siamese network H Liu, X Han, X Li, Y Yao, P Huang, Z Tang Multimedia Tools and Applications 78, 24269-24283, 2019 | 25 | 2019 |
| 2.4 ng/√ Hz low-noise fiber-optic MEMS seismic accelerometer Z Qu, H Ouyang, H Liu, C Hu, LC Tu, Z Zhou Optics Letters 47 (3), 718-721, 2022 | 24 | 2022 |
| Measurement of tidal tilt by a micromechanical inertial sensor employing quasi-zero-stiffness mechanism W Wu, D Liu, H Liu, S Yan, S Tang, J Liu, F Hu, J Fan, L Tu Journal of Microelectromechanical Systems 29 (5), 1322-1331, 2020 | 23 | 2020 |
| Additive co-clustering with social influence for recommendation X Du, H Liu, L Jing Proceedings of the eleventh ACM conference on recommender systems, 193-200, 2017 | 20 | 2017 |
| Deep global and local generative model for recommendation H Liu, L Jing, J Wen, Z Wu, X Sun, J Wang, L Xiao, J Yu Proceedings of The Web Conference 2020, 551-561, 2020 | 18 | 2020 |
| Multi-label text classification method based on label semantic information 肖琳， 陈博理， 黄鑫， 刘华锋， 景丽萍， 于剑 Journal of Software 31 (4), 1079-1089, 2020 | 18 | 2020 |
| A precise spacing-control method in MEMS packaging for capacitive accelerometer applications W Wu, D Liu, W Qiu, H Liu, F Hu, J Fan, C Hu, L Tu Journal of Micromechanics and Microengineering 28 (12), 125016, 2018 | 18 | 2018 |
| Deep learning for person reidentification using support vector machines M Xu, Z Tang, Y Yao, L Yao, H Liu, J Xu Advances in Multimedia 2017, 2017 | 18 | 2017 |
| Passive Method for Reducing Temperature Sensitivity of a Microelectromechanical Seismic Accelerometer for Marsquake Monitoring Below 1 Nano- H Liu, WT Pike, C Charalambous, AE Stott Physical review applied 12 (6), 064057, 2019 | 15 | 2019 |
Liping JingBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
