Zhibin Li

According to our database, Zhibin Li authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition.

Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam

IEEE Robotics Autom. Lett., February, 2024

2023

Exploiting Field Dependencies for Learning on Categorical Data.

Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Missingness-Pattern-Adaptive Learning With Incomplete Data.

Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2023

2022

Multimodal Marketing Intent Analysis for Effective Targeted Advertising.

Lu Zhang, Jialie Shen, Jian Zhang, Jingsong Xu, Zhibin Li, Yazhou Yao, Litao Yu

IEEE Trans. Multim., 2022

Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2022

Distribution-Aware Margin Calibration for Semantic Segmentation in Images.

Litao Yu, Zhibin Li, Min Xu, Yongsheng Gao, Jiebo Luo, Jian Zhang

Int. J. Comput. Vis., 2022

Exploring Linear Feature Disentanglement for Neural Networks.

Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Big Data Analytics for Condition Based Monitoring and Maintenance

Zhibin Li

PhD thesis, 2021

Incorporating Multimodal Cues for Advertorial Discovery.

Lu Zhang, Jian Zhang, Jialie Shen, Jingsong Xu, Zhibin Li, Litao Yu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Distribution-aware Margin Calibration for Medical Image Segmentation.

Zhibin Li, Litao Yu, Jian Zhang

CoRR, 2020

Field-wise Learning for Multi-field Categorical Data.

Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch.

Yazhou Yao, Xiansheng Hua, Guanyu Gao, Zeren Sun, Zhibin Li, Jian Zhang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks For Multimodal Marketing Intention Detection.

Lu Zhang, Jian Zhang, Zhibin Li, Jingsong Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points.

Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Field-Regularised Factorization Machines for Mining the Maintenance Logs of Equipment.

Zhibin Li, Jian Zhang, Qiang Wu, Christina Kirsch

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018