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Wenbin Li
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Causal Discovery from Temporal Data: An Overview and New Perspectives


Mar 17, 2023
Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi

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* 50 pages, 4 figures 
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RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning


Mar 12, 2023
Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang, Wenbin Li

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* 13 pages 
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A Visual SLAM with Moving Object Trajectory Prediction


Mar 03, 2023
Qi Zhang, Siyuan Gou, Wenbin Li

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Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning


Mar 02, 2023
Jack Saunders, Loïc Prenevost, Özgür Şimşek, Alan Hunter, Wenbin Li

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A Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques


Feb 16, 2023
Wenbin Li, Hakim Hacid, Ebtesam Almazrouei, Merouane Debbah

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A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix


Nov 26, 2022
Wenbin Li, Meihao Kong, Xuesong Yang, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo

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* 12 pages 
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Deep object detection for waterbird monitoring using aerial imagery


Oct 10, 2022
Krish Kabra, Alexander Xiong, Wenbin Li, Minxuan Luo, William Lu, Raul Garcia, Dhananjay Vijay, Jiahui Yu, Maojie Tang, Tianjiao Yu, Hank Arnold, Anna Vallery, Richard Gibbons, Arko Barman

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* Longer version of accepted short paper at 21st IEEE International Conference on Machine Learning and Applications (ICMLA'22). 7 pages, 5 figures 
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Learning Credit Assignment for Cooperative Reinforcement Learning


Oct 10, 2022
Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang

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Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery


Oct 07, 2022
Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao

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* 9 pages 
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Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation


Sep 22, 2022
Jack Saunders, Sajad Saeedi, Wenbin Li

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* This work has been submitted to the IEEE International Conference on Robotics and Automation (ICRA) for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 
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