科研成果
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论文发表

  1. X. Li, M. Jusup, and Z. Wang, et. al, “Punishment Diminishes the Benefits of Network Reciprocity in Social Dilemma Experiments,” Proceedings of the National Academy of Sciences, vol. 115, no. 1, pp. 30-35, 2018. 世界三大名刊(NatureSciencePNAS)之一

  2. Z. Wang, M. Jusup, and L. Shi, et. al, “Exploiting A Cognitive Bias Promotes Cooperation in Social Dilemma Experiments,” Nature Communications, vol. 9. no. 1, pp. 1-7, 2018. Nature子刊,影响因子12.121

  3. Z. Wang, M. Jusup, and R. Wang, et. al, “Onymity Promotes Cooperation in Social Dilemma Experiments,” Science Advances, vol. 3, no. 3, e1601444, 2017. Science子刊,影响因子13.116

  4. Z. Wang, C. Bauch, and S. Bhattacharyya, et. al, “Statistical Physics of Vaccination,”Physics Reports-Review Section of Physics Letters, vol. 687, pp. 1-51. 2016. (物理方向顶刊,ESI高被引论文/影响因子25.798)

  5. Z. Wang. M. Andrews, and Z. Wu, et. al, “Coupled Disease-behavior Dynamics on Complex Networks: A Review,” Physics of Life Reviews, vol. 15, pp. 1-29, 2015. (生物物理学顶刊,ESI高被引论文/影响因子14.789)

  6. Y. Yuan, Z. Xiong, and Q. Wang, “VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection,” IEEE Transactions on Image Processing, vol. 28, no. 7, pp. 3423-3434, 2019. (图像处理顶级期刊)

  7. Y Yuan, Y Feng, and X Lu, “Statistical Hypothesis Detector for Abnormal Event Detection in Crowded Scenes,” IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3597-3608, 2016. (影响因子11.079

  8. Q. Wang, J. Gao, W. Lin, et. al, “NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020. (人工智能与模式识别领域顶刊,影响因子17.861)

  9. Q. Wang, M. Chen, F. Nie, et. al, “Detecting Coherent Groups in Crowd Scenes by Multiview Clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 1, pp. 46-58, 2018. (人工智能与模式识别领域顶刊,影响因子17.861)

  10. X. Li, H. Zhang, and R. Zhang, et. al, “Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection,” IEEE Transactions on Neural Networks and Learning Systems. vol.30, no. 5, pp. 1587-1595, 2019.  (神经网络领域顶级期刊)

  11. F. Nie, Z. Wang, and R. Wang, et. al, “Adaptive Local Linear Discriminant Analysis,” ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 14, no. 1, pp. 1-19, 2020. (数据挖掘顶级期刊)

  12. F. Nie, Z. Wang, and R. Wang, et. al, “Towards Robust Discriminative Projections Learning via Non-greedy l2,1-Norm MinMax,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019. (人工智能与模式识别领域顶刊,影响因子17.861)

  13. Z. Hu, F. Nie, and R. Wang, et. al, “Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding,” Information Fusion, vol. 55, pp. 251-259, 2020. (影响因子13.669

  14. Q. Huang, J. Lan, and X. Li, “Robotic Arm based Automatic Ultrasound Scanning for Three-Dimensional Imaging,” IEEE Transactions on Industrial Informatics, vol. 15, no. 2, pp. 1173-1182, 2018.

  15. Q Huang, X Huang, and Z Kong, et. al, “Bi-Phase Evolutionary Searching for Biclusters in Gene Expression Data,” IEEE Transactions on Evolutionary Computation, vol. 23, no. 5, pp. 803-814, 2018. (影响因子11.169

代表性科研获奖情况

  • 【国家自然科学奖】二等奖:图像结构建模与视觉表观重构理论方法研究,2016

  • 【中国电子学会 科学技术奖】自然科学一等奖:图像数据协同处理理论方法研究,2018

  • 【陕西省科学技术奖】一等奖:基于语义拓扑分析与结构优化学习的影像解译理论,2018

  • 【中国光学工程学会 科技进步奖】一等奖:全海深高清光学成像及影像处理系统,2018

  • 【中国计算机学会 科学技术奖】自然科学一等奖:高维数据的低维流形表达与学习,2018

  • 【何梁何利基金】科学与技术创新奖,2015

  • 【陈嘉庚青年科学奖】 2019

  • 【全国创新争先奖】 2017

  • 【教育部自然科学奖】二等奖:网络智能决策与行为动力学研究,2019

  • 【中国中文信息学会 钱伟长中文信息处理科学技术奖】一等奖:海量媒体数据挖掘与安全态势分析,2018

代表性国家重点项目承担情况

  • 【科技部】国家重点研发计划:微纳结构激光跨尺度制造工艺与装备,2018-2021

  • 【国家自然科学基金】国家杰出青年科学基金:高光谱图像分析与处理,2019-2023

  • 【国家自然科学基金】重点项目:公共安全领域的多源、时空大数据感知、融合与分析研究,2019-2022

  • 【国家自然科学基金】重点项目子课题:开放环境中不确定条件下的新型智能感知与行为理解方法研究,2018-2020

  • 【国家自然科学基金】重点项目子课题:面向无人驾驶汽车的恶劣天气环境下视觉计算技术,2017-2021

  • 【科技部】国家重点研发计划项目子课题:定向推理到通用推理的泛化机制,2019-2022

  • 【科技部】国家重点研发计划项目子课题:微纳结构激光跨尺度智能制造工艺与装备,2018-2021