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师资队伍

徐宁

Date:2024年04月17日

个人资料:

姓名:徐宁

职称:副教授/硕士生导师/博士生导师团

学科专业:信息与通信工程(一级学科)/信号与信息处理(二级学科)

通讯地址:天津大学电气自动化与信息工程学院26教学楼D

电子信箱:ningxu@tju.edu.cn

个人主页:https://ningxu1990.github.io

 

主要经历:

(1)      2022.05-至今       天津大学电气自动化与信息工程学院,信息与通信工程,副教授

(2)      2019.07-2022.04   天津大学电气自动化与信息工程学院,信息与通信工程,讲师

(3)      2016.03-2017.03   新加坡国立大学,计算机学院,博士联合培养

(4)      2013.09-2019.06   天津大学电气自动化与信息工程学院,信息与通信工程,硕博连读

 

研究方向:

(1)      计算机视觉

(2)      因果推理

(3)      “视觉-语言”相互生成

(4)      视觉关系识别

(5)      视觉问答与对话

 

主要科研项目:

(1)      2021.01-2023.12   国家自然科学基金青年项目,负责人

(2)      2021.07-2023.06   中国博士后科学基金面上项目,负责人

(3)      2022.01-2025.12   国家自然科学基金联合重点项目,主要参与人

(4)      2020.11-2023.10   国家重点研发计划项目子课题,主要参与人

 

代表性论著、学术著作:

录用/发表学术论文40余篇,部分代表性论文如下:

(1)      Ning Xu, Yifei Gao, An-An Liu*, Hongshuo Tian, Yongdong Zhang: Multi-modal Validation and Domain Interaction Learning for Knowledge-based Visual Question Answering. IEEE Trans. Knowl. Data Eng. (DOI: 10.1109/TKDE.2024.3384270)

(2)      Ning Xu, Zimu Lu, Hongshuo Tian, Rongbao Kang, Jinbo Cao, Yongdong Zhang, An-An Liu*: Learning to Supervise Knowledge Retrieval over a Tree Structure for Visual Question Answering. IEEE Trans. Multim. 26: 6689-6700 (2024)

(3)      An-An Liu, Yingchen Zhai, Ning Xu*, Hongshuo Tian, Weizhi Nie, Yongdong Zhang: Event-aware Retrospective Learning for Knowledge-based Image Captioning. IEEE Trans. Multim. 26: 4898-4911 (2024)

(4)      An-An Liu, Chenxi Huang, Ning Xu*, Hongshuo Tian, Jing Liu, Yongdong Zhang: Counterfactual Visual Dialog: Robust Commonsense Knowledge Learning from Unbiased Training. IEEE Trans. Multim. 26: 1639-1651 (2024)

(5)      Hongshuo Tian, Ning Xu*, Yanhui Wang, Chenggang Yan, Bolun Zheng, Xuanya Li, An-An Liu*: Towards Confidence-Aware Commonsense Knowledge Integration for Scene Graph Generation. ICME 2023: 2255-2260.

(6)      An-An Liu, Hongwei Du, Ning Xu*, Quan Zhang, Shenyuan Zhang, Yejun Tang, Xuanya Li: Exploring visual relationship for social media popularity prediction. J. Vis. Commun. Image Represent. 90: 103738 (2023).

(7)      An-An Liu, Hongshuo Tian, Ning Xu*, Weizhi Nie, Yongdong Zhang, M. Kankanhalli: Toward Region-Aware Attention Learning for Scene Graph Generation. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7655-7666 (2022)

(8)      Yanhui Wang, Ning Xu*, An-An Liu*, Wenhui Li, Yongdong Zhang: High-Order Interaction Learning for Image Captioning. IEEE Trans. Circuits Syst. Video Techn. 32(7): 4417-4430 (2022)

(9)      An-An Liu, Yingchen Zhai, Ning Xu, Weizhi Nie, Wenhui Li, Yongdong Zhang: Region-Aware Image Captioning via Interaction Learning. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3685-3696 (2022)

(10)   Ning Xu, An-An Liu*, Yongkang Wong, Weizhi Nie, Yuting Su, Mohan S. Kankanhalli: Scene Graph Inference via Multi-Scale Context Modeling. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1031-1041 (2021)

(11)   An-An Liu, Yanhui Wang, Ning Xu*, Weizhi Nie, Jie Nie*, Yongdong Zhang: Adaptively Clustering-Driven Learning for Visual Relationship Detection. IEEE Trans. Multim. 23: 4515-4525 (2021)

(12)   Weizhi Nie, Jiesi Li, Ning Xu*, An-An Liu*, Xuanya Li, Yongdong Zhang: Triangle-Reward Reinforcement Learning: A Visual-Linguistic Semantic Alignment for Image Captioning. ACM Multimedia 2021: 4510-4518

(13)   Ning Xu, Hongshuo Tian, Yanhui Wang, Weizhi Nie, Dan Song, An-An Liu*, Wu Liu: Coupled-dynamic learning for vision and language: Exploring Interaction between different tasks. Pattern Recognit.113:107829 (2021)

(14)   Ning Xu, Hanwang Zhang, An-An Liu*, Weizhi Nie, Yuting Su, Jie Nie*, Yongdong Zhang: Multi-Level Policy and Reward-Based Deep Reinforcement Learning Framework for Image Captioning. IEEE Trans. Multim. 22(5): 1372-1383 (2020)

(15)   Hongshuo Tian, Ning Xu*, An-An Liu*, Yongdong Zhang: Part-Aware Interactive Learning for Scene Graph Generation. ACM Multimedia 2020: 3155-3163

(16)   Ning Xu, An-An Liu*, Yongkang Wong, Yongdong Zhang, Weizhi Nie, Yuting Su, Mohan S. Kankanhalli: Dual-Stream Recurrent Neural Network for Video Captioning. IEEE Trans. Circuits Syst. Video Technol. 29(8): 2482-2493 (2019)

(17)   An-An Liu*, Ning Xu*, Weizhi Nie*, Yuting Su, Yong-Dong Zhang: Multi-Domain and Multi-Task Learning for Human Action Recognition. IEEE Trans. Image Process. 28(2): 853-867 (2019)

(18)   Ning Xu, An-An Liu*, Jing Liu*, Weizhi Nie, Yuting Su: Scene graph captioner: Image captioning based on structural visual representation. J. Visual Communication and Image Representation 58: 477-485 (2019)

(19)   Ning Xu, An-An Liu*, Weizhi Nie, Yuting Su: Attention-in-Attention Networks for Surveillance Video Understanding in Internet of Things. IEEE Internet of Things Journal 5(5): 3419-3429 (2018)

(20)   An-An Liu*, Ning Xu, Hanwang Zhang, Weizhi Nie, Yuting Su, Yongdong Zhang: Multi-Level Policy and Reward Reinforcement Learning for Image Captioning. IJCAI 2018: 821-827

(21)   An-An Liu*, Ning Xu, Weizhi Nie, Yuting Su*, Yongkang Wong, Mohan S. Kankanhalli: Benchmarking a Multimodal and Multiview and Interactive Dataset for Human Action Recognition. IEEE Trans. Cybern. 47(7): 1781-1794 (2017)

(22)   An-An Liu*, Ning Xu, Yongkang Wong, Junnan Li, Yuting Su, Mohan S. Kankanhalli: Hierarchical & multimodal video captioning: Discovering and transferring multimodal knowledge for vision to language. Computer Vision and Image Understanding 163: 113-125 (2017)

 

授权国内外发明专利6项,部分授权专利如下:

(1)      一种基于多粒度语义融合的视觉关系检测方法, 专利号: ZL202010998182.1

(2)      一种基于多模态学习的视觉对话生成方法及装置, 专利号: ZL202110848206.X

(3)      Visual relationship detection method and system based on region-aware learning mechanisms, Patent No: US 11,301,725 B2

(4)      Visual relationship detection method and system based on adaptive clustering learning, Patent No: US 11,361,186 B2

 

主要讲授课程:

(1)    “视觉-语言”智能理解与生成(本科生)

(2)    信号处理实践(本科生)

(3)    视觉大数据学习和理解(博士生)

 

主要学术成就、奖励及荣誉:

(1)      2022年度天津市科学技术进步奖特等奖

(2)      ACM Multimedia 2016 Grand Challenge MSR Video to Language, 排名第六(50个参赛队)

(3)      TRECVID 2015国际顶级评测单项第一

 

学术服务:

(1)      SCI期刊客座编辑:Information Processing & Management

(2)      审稿人:IEEE T-NNLSIEEE T-MMIEEE T-CSVTACM MMIJCAI

 

招生信息:

欢迎电子信息类、计算机类、软件类、数学类等有科研热情的同学参与课题研究