Zhibin Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Statistical Data

Multiple Kernel

Medical Image Segmentation

Top Venues

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. IEEE Robotics Autom. Lett. 9 (2) (2024)
Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
Exploiting Field Dependencies for Learning on Categorical Data. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
Exploring Linear Feature Disentanglement for Neural Networks. ICME (2022)
Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
Exploring Linear Feature Disentanglement For Neural Networks. CoRR (2022)
Lu Zhang, Jialie Shen, Jian Zhang, Jingsong Xu, Zhibin Li, Yazhou Yao, Litao Yu
Multimodal Marketing Intent Analysis for Effective Targeted Advertising. IEEE Trans. Multim. 24 (2022)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Lu Zhang, Jian Zhang, Jialie Shen, Jingsong Xu, Zhibin Li, Litao Yu
Incorporating Multimodal Cues for Advertorial Discovery. ICME (2021)
Zhibin Li, Litao Yu, Jian Zhang
Distribution-aware Margin Calibration for Medical Image Segmentation. CoRR (2020)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. AAAI (2020)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. IJCAI (2020)
Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu
Field-wise Learning for Multi-field Categorical Data. CoRR (2020)
Lu Zhang, Jian Zhang, Zhibin Li, Jingsong Xu
Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks for Multimodal Marketing Intention Detection. CoRR (2020)
Yazhou Yao, Xiansheng Hua, Guanyu Gao, Zeren Sun, Zhibin Li, Jian Zhang
Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch. ACM Multimedia (2020)
Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu
Field-wise Learning for Multi-field Categorical Data. NeurIPS (2020)
Lu Zhang, Jian Zhang, Zhibin Li, Jingsong Xu
Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks For Multimodal Marketing Intention Detection. ICME (2020)
Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. KDD (2019)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. CoRR (2019)
Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. CoRR (2019)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch
Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization. CIKM (2018)
Zhibin Li, Jian Zhang, Qiang Wu, Christina Kirsch
Field-Regularised Factorization Machines for Mining the Maintenance Logs of Equipment. Australasian Conference on Artificial Intelligence (2018)