Junbin Gao
个人简介
教育背景
1988.08 – 1991.07
Dalian University of Technology PhD PhD
1984.09 – 1986.06
Huazhong University of Science and Technology MSc Applied Mathematics
1978.09 – 1982.07
Huazhong University of Science and Technology BSc Computational Mathematics
工作经历
2016.02 – 至今
The University of Sydney
Professor of Big Data Analytics
2012.01 – 2015.12
Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology at Beijing University of Technology
Visiting Professor
2010.01 – 2016.02
Charles Sturt University
Professor of Computing
2008.01 – 2011.12
School of Computers at Guangdong University of Technology
Guest Professor
2007.01 – 2010.12
School of Computer Science and Technology at Huazhong University of Science and Technology
Guest Professor
2005.07 – 2009.12
Charles Sturt University
Associate Professor of Computing
2005.01 – 2005.07
University of New England
Senior Lecturer of Computing
2003.01 – 2006.12
State Key Lab of Information Engineering in Surveying, Mapping and Remote Sensing at Wuhan University
Guest Professor
2001.11 – 2004.12
University of New England
Lecturer of Computing
1999.01 – 2001.12
University of Southampton
Research Fellow
1997.09 – 2001.12
Huazhong University of Science and Technology
Professor of Mathematics
1991.01 – 1993.12
Wuhan University
postdoctoral research fellow
荣誉奖项
暂无内容
机器学习中数据偏差与模型公平性的关系
关于GNNs过挤压问题的阐述:当前方法、基准和挑战
对抗攻击对网络入侵检测系统的影响:弥合理论漏洞与实践约束之间的差距
通过反思性摘要和大小模型协作实现类人化多模态虚假新闻检测
基于集成和动态模型选择的入侵检测系统对抗防御
基于伪标签引导自适应演化的混合图注意力学习
属性-拓扑交叉频率对齐图神经网络用于同质和异质图中的节点分类
扩散去噪与物理正则化跨序列模型用于长时域多变量时间序列预测
多视角对比学习与帧间差分在交通视频问答中的应用
表示先增强:一种结合多阶滤波器融合与双层级对比学习的宽图聚类网络
混合人格评论生成与地理增强型上下文检索在多模态危机帖子分类的大语言模型微调中的应用
ComGRL:从局部到全局的全面图表示学习,通过Mixup连接
基于锚点到图的图结构协同正则化方法用于可扩展的多视图聚类
模态无关混合联邦学习:基于知识蒸馏和基于强化学习的聚合
基于LLMs和LMMs的多智能体角色扮演: 一种可解释的开放世界多模式危机推文分类方法
释放曼巴的表现力: 一种非权衡的时空预测方法
SVDformer:基于SVD和Transformer的方向感知谱图嵌入学习

