• 机器学习
• 深度学习

• 基于三维数据的场景理解

• 第七届蓝桥杯全国软件和信息技术专业人才大赛河北赛区单片机设计与开发组省赛二等奖
• 东北大学秦皇岛分校第四届节能减排社会实践与科技竞赛一等奖
• 东北大学秦皇岛分校大学生科技创新基金，优秀
• 三次国家励志奖学、校三等奖学金、创新创业奖学金
• 优秀青年志愿者、暑期社会实践先进个人   优秀团员、优秀学生干部、优秀毕业生

• 图像处理分析与识别，矩阵分析，计算机视觉，模式识别基础，最优化方法

• 唱歌、尤克里里、羽毛球、健身

Hao Peng 彭浩 Ph.D. student. E-mail：apengh@126.com MP: +8618782909198 Date of birth: 3rd September 1990 College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China.

Research

Point cloud Processing, 3D object detection, Deep learning, and Computer vision.

Education

• 2017.09-Present, pursuing Ph.D. degree in Pattern Recognition and Intelligent Systems, Northeastern University, China. [985, 211]
  
• 2014.09-2017.07, M.S. in Pattern Recognition and Intelligent Systems, Sichuan University, China. [985, 211]
• 2009.09-2013.07, B.S. in Electronic information engineering, Qufu Normal University, China.

Publications

• TITS2023 H. Peng, G. Tong and Y. Shao, “3SNet: Semi-Anchor-Free 3D Object Detector With Slice Attention and Symmetric Features Propagation,” in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3292945. (SCI, IF= 8.5)
• TCSVT2023 H. Peng and G. Tong*, “Class-aware 3D detector from point clouds with partial knowledge diffusion and center-weighted IoU,” in IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2023.3289858. (SCI, IF= 8.4)
• RAL2023 G. Tong, Z. Li*, H. Peng and Y. Wang, “Multi-Source Features Fusion Single Stage 3D Object Detection With Transformer,” in IEEE Robotics and Automation Letters, vol. 8, no. 4, pp. 2062-2069, April 2023, doi: 10.1109/LRA.2023.3244124. (SCI, IF= 5.2)
• VC2023 Tong, G., Shao, Y. & Peng, H. Learning local contextual features for 3D point clouds semantic segmentation by attentive kernel convolution. Vis Comput (2023). https://doi.org/10.1007/s00371-023-02819-9. (SCI, IF= 3.5)
• Neurocomputing2022 Guofeng Tong, Hao Peng*, Yuyuan Shao, Qijun Yin, Zheng Li, ASCNet: 3D object detection from point cloud based on adaptive spatial context features, Neurocomputing, volume 475, pages 89-101, 2022. https://doi.org/10.1016/j.neucom.2021.12.061. (SCI, IF= 6.0)
• Neurocomputing2022 Yuyuan Shao, Guofeng Tong*, Hao Peng, Mining local geometric structure for large-scale 3D point clouds semantic segmentation, Neurocomputing, Volume 500, 2022, Pages 191-202, https://doi.org/10.1016/j.neucom.2022.05.060. (SCI, IF= 6.0)
• Cobot2021 Hao Peng, Guofeng Tong*, Zheng Li, Yaqi Wang, Yuyuan Shao, 3D Object Detection Combining Semantic and Geometric Features from Point Clouds, Cobot2021. Arxiv link. (https://doi.org/10.12688/cobot.17433.1).(特等奖，最佳论文)
• IEEEAccess2019 Y. Li, G. Tong*, X. Li, L. Zhang and H. Peng, “MVF-CNN: Fusion of Multilevel Features for Large-Scale Point Cloud Classification,” in IEEE Access, vol. 7, pp. 46522-46537, 2019. DOI: 10.1109/ACCESS. 2019.2908983. (SCI, IF= 3.9)
• 控制与决策2022 佟国峰, 杨宇航, 彭浩, 孟祥政, 殷旗君. 基于视觉语义与激光点云交融构建的SLAM算法[J/OL].控制与决策:1-8[2022-09-19].DOI:10.13195/j.kzyjc.2022.0814.（EI）
• 激光与光电子学进展2019 李勇, 佟国峰*, 杨景超, 张立强, 彭浩, 高华帅. 三维点云场景数据获取及其场景理解关键技术综述[J]. 激光与光电子学进展, 2019, 056(004):13-26.
• 计算机工程2017 彭浩, 周新志, 雷印杰*. 基于先验色彩协方差约束的彩色图像分割[J]. 计算机工程, 2017, 43(4): 251-256.
  

Patent

• 张哲, 佟国峰, 王建宾, 宋波, 彭浩. 一种基于IMU和人体下肢倾角的跌倒检测系统. 申请号: 202021607513.6

Service

• Invited reviewer: Applied Intelligence, IEEE Transaction on Circuits and Systems for Video Technology.