CV
#(This website will no longer be updated. Please refer to the latest content in HelpAI)
Bangquan Xie (bangquanxie[at]gbu.edu.cn) .png)
I am currently an assistant professor and research fellow of advanced engineering college at Great Bay University, China（助理教授、研究员（正高））. My laboratory is called HelpAI Lab, focusing on the Embodied AI for Autonomous Driving and Robot. I was a joint training Ph.D. of South China University of Technology, China, and Clemson University, USA. And I was a Postdoctoral researcher of Embry-Riddle Aeronautical University, USA.
My research interests include Autonomous Driving and Robot, Embodied AI, Machine Vision, Multi-modal Fusion & State Estimation, Attention Mechanism & Transformers, AutoML & NAS, Large Model Semi-Supervised Learning, Model Compression and Distillation.
I am recruiting Ph.D. (The joint training supervisor is an European Academy of Sciences Fellow 欧洲科学院院士), PostDoc (more than 50W/year, 与中科大联合培养博士后A、B岗), Assistant Researcher and Research Assistant (PhD or excellent master candidates，特任研究员分A、B岗，研究助理可以远程), Visiting Scholar/Students（Providing accommodation，可以远程）, to join my research laboratory HelpAI Lab. HelpAI Lab will customize a research guidance team, including off campus experts, for each student with a research topic. The off campus experts come from Apple, Google, Lucid Motors, BMW, CU-ICAR, ERAU, CMU, etc. Please email me with your CV and research plan for prospective collaborators.
Visit and Intern Experience
Visiting Scholar:
- Embry-Riddle Aeronautical University, USA.
- University of Oklahoma, USA.
- Carnegie Mellon University, USA.
Research Intern: The following companies have research and development center at Clemson University.
- BMW Spartanburg factory, USA.
- Bosch Charleston factory, USA.
- Microsoft Greenville factory, USA.
Publications（masterpiece）
First Author Journals Articles
- Bangquan Xie, Zongming Yang, Liang Yang, Ruifa Luo, Ailin Wei, Xiaoxiong Weng, Bing Li. “Multi-Scale Fusion With Matching Attention Model：A Novel Decoding Network Cooperated With NAS for Real Time Semantic Segmentation”，IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS，2021（IF: 9.551, 中科院1区TOP刊）
- Bangquan Xie, Zongming Yang, Liang Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. “SPD: Semi-supervised Learning and Progressive Distillation for 3D detection”, IEEE Transactions on Neural Networks and Learning Systems, 2022（IF: 14.255，中科院1区TOP刊）
- Bangquan Xie, Zongming Yang, Liang Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. “AMMF: Attention-based Multi-phase Multi-task Fusion for Small Contour Object 3D Detection”，IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS，2022（IF: 9.551，中科院1区TOP刊）
- Bangquan Xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. “MuTrans: Multiple Transformers for Fusing Feature Pyramid on 2D and 3D Object Detection”，IEEE TRANSACTIONS ON IMAGE PROCESSING，2023（IF: 11.041, 中科院1区TOP刊）
- Bangquan Xie, Zongming Yang, Liang Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. “ANAS: Asymptotic NAS for Large-scale Proxyless Search and Multi-task Transfer Learning”，PATTERN RECOGNITION, 2023（IF: 8.518，中科院1区TOP刊）
First author Conference Articles
- Bangquan Xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. “FocusTR: Focusing on Valuable Feature by Multiple Transformers for Fusing Feature Pyramid on Object Detection”，IROS 2022（Top Conference）
- Bangquan Xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. “FourStr: When Multi-sensor Fusion Meets Semi-supervised Learning and Distillation”, ICRA 2023（Top Conference）
Co- Author Journals Articles
- Ling, Yancheng; Ma, Zhenliang ; Xie, Bangquan; Zhang, Qi; Weng, Xiaoxiong. “SA-BiGCN: Bi-Stream Graph ConvolutionNetworks With Spatial Attentions for the Eye Contact Detection in the Wild”. IEEE Intelligent Transportation Systems Transactions. 2023 （IF: 9.551, 中科院1区TOP刊）
Book
- Bangquan Xie, Qiwu Qin. “Testing and Maintenance of Vehicle Electronic Control Systems” .2016. ISBN 978-7-5160-1595-7
- Bangquan Xie. “Maintenance Work Log of Vehicle Electronic Control System”. 2016. (school-based teaching materials)
- Bangquan Xie. “Road Transport Safety Technology”. 2014. (school-based teaching materials)
Patents
- Design of an Asymptotic Neural Network Architecture Search System for Agentless Search and Multi-task Transfer Learning (First Author, Applying)
- Stereo fusion and Semi-Supervised Learning for Multi-sensor Single-stage 3D Target Detector (First author, Applying)
- Multiple Transformers for Sensor Fusion on 2D/3D Object Detection (First author, Applying)
Awards & Recognitions
- Selected for the 2019 Guangdong Province International Training Plan for Outstanding Young Scientific Research Talents in Higher Education Institutions.
- Won the “Excellent Project Award” in the “2016 China “Internet + Transportation” Innovation and Entrepreneurship Competition.
Invited Talks
- Environment Perception of Autonomous Driving Based on Deep Learning, Clemson University, SC, USA, December 2, 2019.
- FocusTR: Focusing on Valuable Feature by Multiple Transformers for Fusing Feature Pyramid on Object Detection, Kyoto, Japan. October 13, 2022. (Virtual)
Paper Review Services
- 2018-Present IEEE Transactions on Intelligent Transportation Systems
- 2019-Present IEEE Transactions on Neural Networks and Learning Systems
- 2019-Present PATTERN RECOGNITION
- 2020-Present IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- 2020-Present IEEE TRANSACTIONS ON IMAGE PROCESSING
-
2021-Present IEEE International Conference on Robotics and Automation (ICRA)
Latest News
- 2024.7.15 欢迎本课题组的特任研究员李艳洲、博后卢泳康前来报到。
- 2024.6.20 本课题组与哈工深联合培养的杨晨、孙宇已上交博士入学材料。
- 2024.6.15 湾湖学术活动周系列活动之先进工程科学论坛成功举办
- 2024.1.17 参加第七届全球工学院院长工业论坛。
- 2024.1.15 参观2023首届全国人工智能应用场景创新挑战赛总决赛暨全国人工智能应用场景创新峰会