Zhibin Li
Zhibin Li
Verified email at
Cited by
Cited by
Preparation and microwave absorption properties of Ni–Fe3O4 hollow spheres
Z Li, Y Deng, B Shen, W Hu
Materials Science and Engineering: B 164 (2), 112-115, 2009
Network-wide crowd flow prediction of sydney trains via customized online non-negative matrix factorization
Y Gong, Z Li, J Zhang, W Liu, Y Zheng, C Kirsch
Proceedings of the 27th ACM international conference on information and …, 2018
Online spatio-temporal crowd flow distribution prediction for complex metro system
Y Gong, Z Li, J Zhang, W Liu, Y Zheng
IEEE Transactions on knowledge and data engineering 34 (2), 865-880, 2020
Potential passenger flow prediction: A novel study for urban transportation development
Y Gong, Z Li, J Zhang, W Liu, J Yi
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4020-4027, 2020
Bridging the web data and fine-grained visual recognition via alleviating label noise and domain mismatch
Y Yao, X Hua, G Gao, Z Sun, Z Li, J Zhang
Proceedings of the 28th ACM International Conference on Multimedia, 1735-1744, 2020
A spatial missing value imputation method for multi-view urban statistical data
Y Gong, Z Li, J Zhang, W Liu, B Chen, X Dong
Proceedings of the Twenty-Ninth International Conference on International …, 2021
Multimodal marketing intent analysis for effective targeted advertising
L Zhang, J Shen, J Zhang, J Xu, Z Li, Y Yao, L Yu
IEEE Transactions on Multimedia 24, 1830-1843, 2021
Learning pregrasp manipulation of objects from ungraspable poses
Z Sun, K Yuan, W Hu, C Yang, Z Li
2020 IEEE International Conference on Robotics and Automation (ICRA), 9917-9923, 2020
Missing value imputation for multi-view urban statistical data via spatial correlation learning
Y Gong, Z Li, J Zhang, W Liu, Y Yin, Y Zheng
IEEE Transactions on Knowledge and Data Engineering 35 (1), 686-698, 2021
Sample adaptive multiple kernel learning for failure prediction of railway points
Z Li, J Zhang, Q Wu, Y Gong, J Yi, C Kirsch
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Model predictive control for motion planning of quadrupedal locomotion
Y Shi, P Wang, M Li, X Wang, Z Jiang, Z Li
2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics …, 2019
Field-wise learning for multi-field categorical data
Z Li, J Zhang, Y Gong, Y Yao, Q Wu
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
Towards better graph representation: Two-branch collaborative graph neural networks for multimodal marketing intention detection
L Zhang, J Zhang, Z Li, J Xu
2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020
Field-regularised factorization machines for mining the maintenance logs of equipment
Z Li, J Zhang, Q Wu, C Kirsch
AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018
Learning perceptual locomotion on uneven terrains using sparse visual Observations
F Acero, K Yuan, Z Li
IEEE Robotics and Automation Letters 7 (4), 8611-8618, 2022
Exploring linear feature disentanglement for neural networks
T He, Z Li, Y Gong, Y Yao, X Nie, Y Yin
2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022
Distribution-Aware Margin Calibration for Semantic Segmentation in Images
L Yu, Z Li, M Xu, Y Gao, J Luo, J Zhang
International Journal of Computer Vision 130, 95-110, 2022
Incorporating multimodal cues for advertorial discovery
L Zhang, J Zhang, J Shen, J Xu, Z Li, L Yu
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
Detection of marine oil-like features in Sentinel-1 SAR images by supplementary use of deep learning and empirical methods: Performance assessment for the Great Barrier Reef …
D Blondeau-Patissier, T Schroeder, G Suresh, Z Li, FI Diakogiannis, ...
Marine Pollution Bulletin 188, 114598, 2023
Decoding Motor Skills of AI and Human Policies: A Study on Humanoid and Human Balance Control
K Yuan, C McGreavy, C Yang, W Wolfslag, Z Li
The system can't perform the operation now. Try again later.
Articles 1–20