Zhibin Li - RankMe

31 papers A* 5A 5Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction. IEEE Trans. Knowl. Data Eng. Yang An, Zhibin Li, Xiaoyu Li, Wei Liu, Xinghao Yang, Haoliang Sun, Meng Chen, Yu Zheng, Yongshun Gong
2024	J	`jnl`	Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning. IEEE Trans. Knowl. Data Eng. Lu Zhang, Zhibin Li, Shekhar S. Chandra, Fatima A. Nasrallah
2024	J	`jnl`	Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. IEEE Robotics Autom. Lett. Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
2024	A	`conf`	Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction. CIKM Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong
2023	J	`jnl`	Exploiting Field Dependencies for Learning on Categorical Data. CoRR Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
2023	J	`jnl`	Exploiting Field Dependencies for Learning on Categorical Data. IEEE Trans. Pattern Anal. Mach. Intell. Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
2023	J	`jnl`	Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng
2023	J	`jnl`	Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
2023	J	`jnl`	Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. CoRR Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
2022	J	`jnl`	Distribution-Aware Margin Calibration for Semantic Segmentation in Images. Int. J. Comput. Vis. Litao Yu, Zhibin Li, Min Xu, Yongsheng Gao, Jiebo Luo, Jian Zhang
2022	J	`jnl`	Exploring Linear Feature Disentanglement For Neural Networks. CoRR Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
2022	A	`conf`	Exploring Linear Feature Disentanglement for Neural Networks. ICME Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
2022	J	`jnl`	Multimodal Marketing Intent Analysis for Effective Targeted Advertising. IEEE Trans. Multim. Lu Zhang, Jialie Shen, Jian Zhang, Jingsong Xu, Zhibin Li, Yazhou Yao, Litao Yu
2022	J	`jnl`	Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System. IEEE Trans. Knowl. Data Eng. Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng
2022	J	`jnl`	Self-attention on Multi-Shifted Windows for Scene Segmentation. CoRR Litao Yu, Zhibin Li, Jian Zhang, Qiang Wu
2021	—	`—`	Big Data Analytics for Condition Based Monitoring and Maintenance Zhibin Li
2021	J	`jnl`	Distribution-aware Margin Calibration for Semantic Segmentation in Images. CoRR Litao Yu, Zhibin Li, Min Xu, Yongsheng Gao, Jiebo Luo, Jian Zhang
2021	A	`conf`	Incorporating Multimodal Cues for Advertorial Discovery. ICME Lu Zhang, Jian Zhang, Jialie Shen, Jingsong Xu, Zhibin Li, Litao Yu
2020	A*	`conf`	A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. IJCAI Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong
2020	A*	`conf`	Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch. ACM Multimedia Yazhou Yao, Xiansheng Hua, Guanyu Gao, Zeren Sun, Zhibin Li, Jian Zhang
2020	J	`jnl`	Distribution-aware Margin Calibration for Medical Image Segmentation. CoRR Zhibin Li, Litao Yu, Jian Zhang
2020	A*	`conf`	Field-wise Learning for Multi-field Categorical Data. NeurIPS Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu
2020	J	`jnl`	Field-wise Learning for Multi-field Categorical Data. CoRR Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu
2020	A*	`conf`	Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. AAAI Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
2020	A	`conf`	Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks For Multimodal Marketing Intention Detection. ICME Lu Zhang, Jian Zhang, Zhibin Li, Jingsong Xu
2020	J	`jnl`	Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks for Multimodal Marketing Intention Detection. CoRR Lu Zhang, Jian Zhang, Zhibin Li, Jingsong Xu
2019	J	`jnl`	Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. CoRR Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
2019	A*	`conf`	Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. KDD Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
2019	J	`jnl`	Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. CoRR Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
2018	—	`conf`	Field-Regularised Factorization Machines for Mining the Maintenance Logs of Equipment. Australasian Conference on Artificial Intelligence Zhibin Li, Jian Zhang, Qiang Wu, Christina Kirsch
2018	A	`conf`	Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization. CIKM Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch