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Yu Wang

Multi-Granularity Regularized Re-Balancing for Class Incremental Learning



Huitong Chen , Yu Wang , Qinghua Hu

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On Structural Explanation of Bias in Graph Neural Networks



Yushun Dong , Song Wang , Yu Wang , Tyler Derr , Jundong Li

* Published as a conference paper at SIGKDD 2022 
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LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network



Dongqiangzi Ye , Weijia Chen , Zixiang Zhou , Yufei Xie , Yu Wang , Panqu Wang , Hassan Foroosh

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* Official 1st Place Solution for the Waymo Open Dataset Challenges 2022 - 3D Semantic Segmentation. Official leaderboard: https://waymo.com/open/challenges/2022/3d-semantic-segmentation/. CVPR 2022 Workshop on Autonomous Driving: http://cvpr2022.wad.vision/ 
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LidarMutliNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network



Dongqiangzi Ye , Weijia Chen , Zixiang Zhou , Yufei Xie , Yu Wang , Panqu Wang , Hassan Foroosh

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* Official 1st Place Solution for the Waymo Open Dataset Challenges 2022 - 3D Semantic Segmentation. Official leaderboard: https://waymo.com/open/challenges/2022/3d-semantic-segmentation/. CVPR 2022 Workshop on Autonomous Driving: http://cvpr2022.wad.vision/ 
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Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage



Yu Wang , Yuying Zhao , Yushun Dong , Huiyuan Chen , Jundong Li , Tyler Derr

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Spatial-temporal Concept based Explanation of 3D ConvNets



Ying Ji , Yu Wang , Kensaku Mori , Jien Kato

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Differentiable Invariant Causal Discovery



Yu Wang , An Zhang , Xiang Wang , Xiangnan He , Tat-Seng Chua

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* 22 pages, 11 figures 
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BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification



Wenhao Huang , Haifan Gong , Huan Zhang , Yu Wang , Haofeng Li , Guanbin Li , Hong Shen

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Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies



Yu Wang , Fang Liu

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* This paper was accepted by IEEE COMPSAC 2022 
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