详细资料

教育经历

2010-2019年 西北工业大学 本科-博士

工作经历

2020年至今，中国人民大学高瓴人工智能学院，准聘助理教授

2019-2020年，百度研究院，人工智能研究员

研究方向

机器多模态感知与学习：以大脑的多通道知觉为背景，挖掘并探究多模态信息（如图像、声音、触觉等）在机器感知、推理与理解等方向的潜在问题与方法，让机器具备『多感官认知能力』。

对学生的培养要求

对客观存在保持好奇心，自驱，刻苦，以做有趣、有温度、有价值的研究为目标。

科研成果

1、Di Hu, Xuhong Li, LichaoMou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, and Dejing Dou, Cross-Task Transfer for Multimodal Aerial Scene Recognition, In Proceedings of the European Conference on Computer Vision (ECCV), 2020.

2、Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, and Weiyao Lin, Learning to Visually Localize Multiple Sound Sources via A Two-stage Manner, In Proceedings of the European Conference on Computer Vision (ECCV), 2020.

3、Di Hu, FeipingNie, and Xuelong Li, Deep Linear Discriminant Analysis Hashing, Sci Sin Inform, 2019. (CCF A)

4、Di Hu, FeipingNie, and Xuelong Li, Deep Multimodal Clustering for Unsupervised Audiovisual Learning, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (CCF A)

5、Di Hu, Dong Wang, FeipingNie, Qi Wang, and Xuelong Li, Listen to the Image, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (CCF A)

6、Di Hu, Chengze Wang, FeipingNie, and Xuelong Li, Dense Multimodal Fusion for Hierarchically Joint Representation, In Proceedings of the IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.

7、Di Hu, FeipingNie, and Xuelong Li, Discrete Spectral Hashing for Efficient Similarity Retrieval, IEEE Trans. Image Processing (TIP), 2018. (CCF A)

8、Di Hu, FeipingNie, and Xuelong Li, Deep Binary Reconstruction for Cross-modal Hashing, IEEE Trans. Multimedia (TMM), 2018.

9、Xuelong Li, Di Hu, and Xiaoqiang Lu, Image2song: Song Retrieval via Bridging Image Content and Lyric Words, In Proceedings of the IEEE Conference on Computer Vision (ICCV), 2017. (CCF A)

11、Xuelong Li, Di Hu, and FeipingNie, Deep Binary Reconstruction for Cross-modal Hashing, In Proceedings of the ACM Conference on Multimedia (ACMMM), 2017. (CCF A)

12、Xuelong Li, Di Hu, and FeipingNie, LargeGraphHashingwithSpectralRotation, In Proceedings of the AAAIConferenceonArtificialIntelligence (AAAI), 2017. (CCF A)

13、Di Hu, Xiaoqiang Lu, and Xuelong Li, Multimodal Learning via Exploring Deep Semantic Similarity, In Proceedings of the ACM Conference on Multimedia (ACMMM), 2016. (CCF A)

14、Di Hu, Xuelong Li, and Xiaoqiang Lu, Temporal Multimodal Learning in Audiovisual Speech Recognition, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (CCF A)

15、Di Hu, Zheng Wang, HaoyiXiong, Dong Wang, FeipingNie, and Dejing Dou, Heterogeneous Scene Analysis via Self-supervised Audiovisual Learning, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2020.

16、Di Hu, LichaoMou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, and Xiaoxiang Zhu, Does Ambient Sound Help? - Audiovisual Crowd Counting, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2020.

17、Yapeng Tian, Di Hu, Chenliang Xu, Co-Learn Sounding Object Visual Grounding and Visually Indicated Sound Separation in A Cycle, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2020.

18、Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin, A Two-Stage Framework for Multiple Sound-Source Localization, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2020.

社会兼职

1、期刊审稿人: TIP, TKDE, TMM, Neurocomputing

2、会议程序委员: NeurIPS 2020, CVPR 2018 2020, ICCV 2019, ECCV2020, AAAI 2018 2020, ACCV 2018 2020

3、联合组织者: ICDM 2019 Tutorial on Automated Deep Learning: Theory, Algorithms, Platforms, and Applications

荣誉获奖

1、2020.9 荣获中国人工智能学会优秀博士论文奖

2、2019.8 入选百度『AIDU』全球顶尖人工智能人才计划

3、2019.8 荣获ACM XI’AN优秀博士论文奖（共2人）

4、2019.5 入选CVPR Doctoral Consortium博士生论坛（大陆共4人）

5、2018.7 荣获国家留学基金委赴卡内基梅隆大学联合培养学金