| 2024 | ICRA | LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception. | Zixiang Zhou, Dongqiangzi Ye, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh |
| 2023 | AAAI | LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception. | Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh |
| 2023 | WACV | MonoEdge: Monocular 3D Object Detection Using Local Perspectives. | Minghan Zhu, Lingting Ge, Panqu Wang, Huei Peng |
| 2022 | ECCV | CenterFormer: Center-Based Transformer for 3D Object Detection. | Zixiang Zhou, Xiangchen Zhao, Yu Wang, Panqu Wang, Hassan Foroosh |
| 2020 | CVPR | Grid-GCN for Fast and Scalable Point Cloud Learning. | Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann |
| 2019 | CVPR | HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds. | Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, Panqu Wang |
| 2018 | WACV | Understanding Convolution for Semantic Segmentation. | Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell |
| 2016 | CogSci | Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition. | Panqu Wang, Garrison W. Cottrell |
| 2015 | CogSci | Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields. | Panqu Wang, Garrison W. Cottrell, Christopher Kanan |
| 2014 | CogSci | Experience Matters: Modeling the Relationship Between Face and Object Recognition. | Panqu Wang, Isabel Gauthier, Garrison W. Cottrell |
| 2013 | CogSci | A Computational Model of the Development of Hemispheric Asymmetry of Face Processing. | Panqu Wang, Garrison W. Cottrell |