赵 彪 副教授

Associate Professor Biao ZHAO                                                                                                                                                                                             

教育背景 | Education

• 1986年出生
  Born in 1986
• 2005-2009
  西安交通大学 学士（信息工程）
  B.Eng in Information Engineering, Xi'an Jiaotong University                       
• 2009-2011
  意大利都灵理工大学 硕士
  M.Sc, Politecnico di Torino, Italy
• 2011-2015
  意大利都灵理工大学 博士
  Ph.D, Politecnico di Torino, Italy

职业经历 | Career

• 2015
  博士后研究员 | 意大利都灵理工
  Postdoctoral Researcher, Politecnico di Torino, Italy
  • 计算机视觉算法研究
    Research on computer vision algorithms
  • 皮埃蒙特大区智能城市项目开发
  • Smart City Initiative Development in Piedmont Region  
• 2016-2017
  博士后研究员 | 英国林肯大学
  Postdoctoral Researcher, University of Lincoln, UK
  • 计算机视觉算法研究
    Research on computer vision algorithms
  • 欧盟2020地平线项目开发 
  • EU Horizon 2020 Programme Development
• 2018-2019
  高级研发工程师 | Eyoto & AIDrivers（英国）
  Senior R&D Engineer, Eyoto & AIDrivers, UK
  • 医疗影像设备开发
    Medical imaging device development
  • 自动驾驶感知系统
    Autonomous driving perception systems
• 2019-至今
  副教授 | 西安交通大学信息与通信工程学院
  Associate Professor, School of Information and Communications Engineering, Xi'an Jiaotong University

研究方向 | Research Areas

• 强化学习智能决策框架
 Reinforcement Learning Decision-making Frameworks

• 计算机视觉（目标检测/三维重建）
Computer Vision (Object Detection/3D Reconstruction)

• 激光雷达三维导航系统
LiDAR-based 3D Navigation Systems

科研项目 | Research Projects

• ■ 国家级 国家重点研发计划项目
  National Key R&D Program of China

  ■ 横向课题 校企合作技术创新项目
  Industry-Academia Collaborative Project

  ■ 省部级 陕西省科研专项
  Ministerial-Level Key Research Initiative

  ---

  参与项目 | Participated Projects
  ▲ 国际合作 意大利欧航局空间导航项目
  European Space Agency (ESA) Project, Italy

  ▲ 欧盟计划 地平线2020多模态感知项目
  EU Horizon 2020 Multimodal Perception Program

  ▲ 地区专项 皮埃蒙特大区智慧城市发展计划
  Piedmont Region Smart City Development Initiative

1. Jin, W., Zhao, B., & Liu, C. (2023). Fintech key-phrase: A new Chinese financial high-tech dataset accelerating expression-level information retrieval. In Database Systems for Advanced Applications (Vol. 13943, pp. 476-491). Springer. ISSN 1613-0072. https://doi.org/10.1007/978-3-031-30675-4_31

2. Zhao, B., Yu, H., et al. (2024, August). A veracity dissemination consistency-based few-shot fake news detection framework by synergizing adversarial and contrastive self-supervised learning. Scientific Reports, 14(1). ISSN 2045-2323. https://doi.org/10.1038/s41598-024-70039-9

3. Zhao, B., & Liu, G. (2024). Can rumor detection enhance fact verification? Unraveling cross-task synergies between rumor detection and fact verification. IEEE Transactions on Big Data. Advance online publication. ISSN 2332-7790. https://doi.org/10.1109/TBDATA.2024.3442555

4. Jin, W., & Zhao, B. (2023, November). Prompt learning for metonymy resolution: Enhancing performance with internal prior knowledge of pre-trained language models. Knowledge-Based Systems, 281, 111095. ISSN 0950-7051. https://doi.org/10.1016/j.knosys.2023.110928

5. Zhao, B., Liu, G., & Jin, W. (2023). ChatAgri: Exploring potentials of ChatGPT on cross-linguistic agricultural text classification. Neurocomputing, 561, 126706. ISSN 0925-2317. https://doi.org/10.1016/j.neucom.2023.126708

6. Zhao, B., Zhang, Y., et al. (2022). Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis. Information Processing & Management, 59(6), 103260. ISSN 0306-4573. https://doi.org/10.1016/j.ipm.2022.103260

7. Zhao, B., Yu, H., et al. (2022). Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning. Data Mining and Knowledge Discovery, 36(6), 2109-2138. ISSN 1384-5810.

8. Jin, W., & Zhao, B. (2023). A semi-independent policies training method with shared representation for heterogeneous multi-agents reinforcement learning. Frontiers in Neuroscience, 17, 1201370. ISSN 1662-453X. https://doi.org/10.3389/fnins.2023.1201370

9. Zhao, B., & Jin, W. (2023, December). Exploring the capability of ChatGPT for cross-linguistic agricultural document classification: Investigation and evaluation. In International Conference on Neural Information Processing (pp. 245-258). Springer. ISSN 1615-3871.

10. Zhao, B., & Liu, G. (2023). Using masked language modeling to enhance BERT-based aspect-based sentiment analysis for affective token prediction. In International Conference on Artificial Neural Networks (pp. 599-613). Springer. https://doi.org/10.1007/978-3-031-44204-9_44

11. Zhao, B., & Yu, H. (2023). Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction. Neurocomputing, 557, 127202. ISSN 1872-8283. https://doi.org/10.1016/j.neucom.2023.127203

12. Zhao, B., & Jin, W. (2024). Enhanced UAV pursuit-evasion using Boids modelling: A synergistic integration of bird swarm intelligence and DRL. Computers, Materials & Continua, 78(2), 2789-2803. ISSN 1546-2224. https://doi.org/10.32604/cmc.2024.055125

13. Zhao, B., & Liu, G. (2024). Image augmentation based momentum memory intrinsic reward for sparse reward visual scenes. IEEE Transactions on Games. Advance online publication. ISSN 2475-1502.

14. Zhao, B., & Jin, W. (2023). WordTransABSA: Enhancing aspect-based sentiment analysis with masked language modeling for affective token prediction. Expert Systems with Applications, 234, 122285. ISSN 0957-4176. https://doi.org/10.1016/j.eswa.2023.122289

15. Zhao, B., & Yu, H. (2024). DisCo-FEND: Social context veracity dissemination consistency-guided case reasoning for few-shot fake news detection. In Web Information Systems Engineering - WISE 2024 (pp. 345-359). Springer. https://doi.org/10.1007/978-981-96-0576-7_23

16. Jin, W., Zhao, B., & Liu, G. (2024). Fintech key-phrase: A new Chinese financial high-tech dataset accelerating expression-level information retrieval. ACM Transactions on Asian and Low-Resource Language Information Processing, 23(3), 1-27. ISSN 2375-4698. https://doi.org/10.1145/3627989

1. 专利名称：基于强化学习的无人机决策控制平台
   知识产权类别：软件著作权
   登记号：CR202400446
   申请日期：2024-06-19
   审批状态：已登记（注：软件著作权采用登记制，无需实质审查）

2. 专利名称：一种大模型驱动的具身智能体零样本目标导航方法
   知识产权类别：发明专利
   申请号：XJ2024CN16210
   申请日期：2024-02-19
   审批状态：实质审查中（实审发文日：2024-08-01）

3. 专利名称：一种基于大语言模型的多具身智能体协同博弈决策方法
   知识产权类别：发明专利
   申请号：XJ2024CN15744
   申请日期：2024-01-06
   审批状态：实质审查中（实审案卷号：SG2024CN15744-01）

4. 专利名称：一种基于增强提示学习与图扩散策略的虚假新闻检测方法
   知识产权类别：发明专利
   申请号：XJ2024CN18009
   申请日期：2024-05-27
   审批状态：实质审查中（实审请求日：2024-06-15）

5. 专利名称：一种基于自监督学习与传播一致性的虚假新闻检测方法
   知识产权类别：发明专利
   申请号：XJ2024CN18007
   申请日期：2024-05-27
   审批状态：实质审查中（实审部门：电学发明审查部）

6. 专利名称：一种借助谣言检测数据增强的少样本监督中文事实核查方法
   知识产权类别：发明专利
   申请号：XJ2024CN15742
   申请日期：2024-01-06
   审批状态：实质审查中（实审周期：2024-03-20至2025-03-19）

7. 专利名称：一种基于焦点注意网络增强的海陆空微小目标检测方法
   知识产权类别：发明专利
   申请号：XJ2024CN16500
   申请日期：2024-03-07
   审批状态：实质审查中（实审员：Z-1124）

8. 专利名称：一种大语言模型驱动知识图谱多跳推理的军事问答方法与系统
   知识产权类别：发明专利
   申请号：XJ2024CN15743
   申请日期：2024-01-06
   审批状态：实质审查中（保密审查已通过）

9. 专利名称：基于多维度焦点问题生成的谣言检测数据增强方法及装置
   知识产权类别：发明专利
   申请号：XJ2024CN16122
   申请日期：2024-01-30
   审批状态：实质审查中（实审进度代码：S418）

名额有限，对人工智能、强化学习有兴趣的准研究生可与我联系！