许铮铧

许铮铧

许铮铧.png

职称:教授,博士生导师

教育背景:

2013-2017,英国牛津大学计算机科学系,博士

2010-2012,澳大利亚墨尔本大学计算机专业,硕士

2005-2009,北京邮电大学信息工程专业,本科

工作履历:

2018-至今,河北工业大学生物医学工程系,教授、博导

2018-至今,英国牛津大学计算机系,客座研究员、博导

2017-2018,英国牛津大学计算机系,副研究员、博导

2014-2015,英国牛津大学计算机系,助理研究员

2012-2013,澳大利亚皇家墨尔本理工大学,电气和电子工程学院,分析研究员

学术兼职:

  计算机国际顶会:

  1.国际人工智能联合会议(IJCAI)程序委员会委员、高级委员、分会主席(2019、2020、2021)

  2.AAAI国际人工智能会议(AAAI)程序委员会委员(2020、2021)

  3.欧洲人工智能会议(ECAI)程序委员会委员(2020)

  4.国际医学图像计算和计算机辅助干预会议(MICCAI)程序委员会委员(2020)

  学会任职:

  1.中国计算机学会计算机视觉专委会(CCF-CV)委员

  2.中国计算机学会青年计算机科技论坛天津分论坛(CCF YOCSEF天津)学术委员

  3.中国生物医学工程学会医学影像工程与技术分会青年委员

  4.河北数理医学学会健康大数据专委会常务委员

研究领域与承担项目

  研究领域:

  智能医学影像与健康大数据分析、深度强化学习、神经科学与深度学习、推荐系统。

  基金和项目:

(1)国家自然科学基金青年项目,2020-2022,主持

(2)河北省引进海外高层次人才“百人计划”资助项目,2020-2022,主持

(3)天津市自然科学基金青年项目,2019-2022,主持

(4)河北工业大学元光学者自主项目,2018-2023,主持

奖励与荣誉:

英国牛津大学计算机科学系博士,河北省引进海外高层次人才“百人计划”省级特聘专家。

学术成果:

[1] Wang JF, Thomas Lukasiewicz‚  Hu XL, Cai JF, Xu ZH*. RSG: A Simple Yet Effective    Module for Learning Imbalanced Datasets. In the IEEE/CVF Conference on Computer Vision and Pattern          Recognition (CVPR), 2021. (CCF A类国际人工智能顶会)  

[2] Su YX, Zhang R*, Sarah Erfani, Xu ZH**. Detecting Beneficial Feature Interactions for                    Recommender Systems via Graph Neural Networks. In the 35th AAAI Conference on Artificial Intelligence        (AAAI), 2021. (CCF A类国际人工智能顶会)

 [3]  Song YH, Thomas Lukasiewicz,Xu ZH**, Rafal Bogacz. Can the Brain Do Backpropagation?        ——Exact Implementation of Backpropagation in Predictive Coding Networks. In the 34th Conference on        Neural Information Processing Systems (NeurIPS), 2020. (CCF A类国际人工智能顶会)

[4] Song YH, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Xu ZH**, Xu M,  Zihan Ding and Lianlong Wu. Arena: A General Evaluation Platform and Building Toolkit for Multi−Agent  Intelligence. In the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A类国际人工智能顶会)

[5] Song YH, Wang JY, Thomas Lukasiewicz, Xu ZH**, Zhang SH, Andrzej Wojcicki  and  Mai Xu. Mega−Reward: Achieving Human−Level Play without Extrinsic Rewards. In the 34th AAAI  Conference on Artificial Intelligence (AAAI), 2020. (CCF A类国际人工智能顶会)

[6] Song YH#, Wang JY#, Thomas Lukasiewicz, Xu ZH** and Xu M. Diversity-Driven  Extensible Hierarchical Reinforcement Learning. In the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF A类国际人工智能顶会)

[7] Xu ZH**, Thomas Lukasiewicz, Chen C*, Miao YS and  Meng XW. Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. In the International Joint Conference on Artificial Intelligence (IJCAI), 2017. (CCF A类国际人工智能顶会)

[8] Andy Yuan Xue,Zhang R, Zheng Y,Xie  X, Huang J and Xu ZH**. Destination Prediction by Sub-trajectory Synthesis and Privacy Protection against Such Prediction. In the 29th IEEE International Conference on Data Engineering (ICDE),2013. (CCF A类国际数据库顶会)

[9]Xu ZH**#, Yuan D#, Thomas Lukasiewicz, Chen C,  Miao YS and  Xu GZ*. Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. In the 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. (CCF B类国际信号处理顶会)

[10] Xu ZH*#,  Qi C# and  Xu GZ*. Semi-Supervised Attention-Guided CycleGAN for Data Augmentation on Medical Images. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. (CCF B类国际生物和医学信号处理顶会)

[11] Wang L#,  Wang B#,Xu ZH**. Tumor Segmentation Based on Deeply Supervised Multi-Scale U-Net. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. (CCF B类国际生物和医学信号处理顶会)

[12] Li B#, Cheng ZH#, Xu ZH**,  Ye W*, Thomas Lukasiewicz and Shikun Zhang. Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. In the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019. (CCF B类国际信号处理顶会)

[13]Chen C, Thomas Lukasiewicz, Meng XW and Xu ZH* (co-first author, in alphabetical order). Location-Aware News Recommendation Using Deep Localized Semantic Analysis. In the 22nd International Conference on Database Systems for Advanced Applications (DASFAA), 2017. (CCF B类国际数据库顶会)

[14] Xu ZH*, Chen C, Thomas Lukasiewicz,  Miao YS and Meng XX. Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. In the 25th ACM International Conference on Information and Knowledge Management (CIKM), 2016.  (CCF B类国际数据挖掘顶会)