个人主页：https://yanrockhuang.github.io/
联系方式：
电子邮件：yhuang at nlpr.ia.ac.cn
通信地址：重庆中关村东路95号智能化大厦
邮政编码：100190
个人简介：
黄岩，副研究员。2012年获电子科技大学学士学位，2017年获中科院大学博士学位。研究方向为视觉语言理解与深度学习新模型。目前已在相关领域顶级会议和期刊上发表40多篇文章，包括IEEE TPAMI、IEEE TIP、NeurIPS、 CVPR、ECCV、ICCV等。相关论文曾获得CVPR 2014-Deep Vision Workshop最佳论文奖、ICPR 2014最佳学生论文奖、RACV 2016最佳墙报奖。相关技术曾获得ICCV2019-VOT Challenge和ICCV2019-WIDER Challenge两项冠军。已经组织或成功申请ICCV和CVPR会议期间的3次国际研讨会。曾获得中科院院长特别奖、中科院优秀博士论文奖、中国人工智能学会优秀博士论文奖、NVIDIA创新研究奖、百度奖学金等奖项，入选微软铸星计划和中科院特别研究助理。
研究领域：
视觉语言跨模态匹配与生成
视频行人与行为识别
学术任职：
中国计算机学会计算机视觉专委会，副秘书长，2020-
CVPR Workshop on Language & Vision with applications to Video Understanding, Co-chair, 2020
Workshop on Multimodal Learning, Co-Chair, 2020
ICCV Workshop on Cross-Modal Learning in Real World，Co-Chair, 2019
IEEE UCAS Student Branch, Vice-Chair, 2016-2017
IEEE TPAMI, IJCV, IEEE TIP, CVPR, ICCV, ECCV, NeurIPS, AAAI等审稿人
所获奖励：
2019年，微软铸星计划
2019年，中科院特别研究助理
2018年，中国人工智能学会优秀博士论文奖
2018年，ACM中国（重庆）优秀博士论文奖
2018年，中科院优秀博士论文奖
2018年，NVIDIA创新研究奖
2017年，中科院院长特别奖
2017年，重庆市优秀毕业生
2016年，百度奖学金
2016年，博士生国家奖学金
2016年，耀世攀登一等奖学金
2016年，RACV最佳墙报奖
2014年，CVPRW最佳论文奖
2014年，ICPR最佳学生论文奖
代表论著：
1. Yan Huang, Qi Wu, Wei Wang, Liang Wang, Image and Sentence Matching via Semantic Concepts and Order Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 42(3): 636-650, 2020.
2. Kai Niu, Yan Huang, Liang Wang, Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments, IEEE Transactions on Image Processing (TIP), 29: 5542-5556, 2020
3. Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang, Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition, AAAI Conference on Artificial Intelligence (AAAI), New York, US, 2020.
4. Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang, Relational Prototypical Network for Weakly Supervised Temporal Action Localization, AAAI Conference on Artificial Intelligence (AAAI), New York, US, 2020.
5. Yan Huang, Liang Wang, ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching, IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 2019.
6. Yan Huang, Yang Long, Liang Wang, Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding, AAAI Conference on Artificial Intelligence (AAAI), Honolulu, US, 2019.
7. Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang, Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019.
8. Weining Wang, Yan Huang, Liang Wang, Language-driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019.
9. Yan Huang, Wei Wang, Liang Wang, Video Super-Resolution via Bidirectional Recurrent Convolutional Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018, 40(4): 1015-1028.
10. Yan Huang, Qi Wu, Liang Wang, Learning Semantic Concepts and Order for Image and Sentence Matching, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, US, 2018.
11. Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan, M3: Multimodal Memory Modelling for Video Captioning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, US, 2018.
12. Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang, Mask-guided Contrastive Attention Model for Person Re-identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, US, 2018.
13. Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang, Liang Wang, Cross-Mod al Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking, European Conference on Computer Vision (ECCV), Munich, Germany, 2018.
14. Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan, Hierarchical Memory Modelling for Video Captioning, ACM Conference on Multimedia (MM), Seoul, Korea, 2018.
15. Yan Huang, Wei Wang, Liang Wang, Instance-Aware Image and Sentence Matching with Selective Multimodal LSTM, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, US, 2017.
16. Yan Huang, Wei Wang, Liang Wang, Tieniu Tan, Conditional High-Order Boltzmann Machines for Supervised Relation Learning, IEEE Transactions on Image Processing (TIP), 2017, 26(9): 4297-4310.
17. Zhen Zhou, Yan Huang, Wei Wang, Liang Wang, Tieniu Tan, See The Forest for The Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-based Person Re-identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, US, 2017.
18. Yan Huang, Wei Wang, Liang Wang, Unconstrained Multimodal Multi-label Learning, IEEE Transactions on Multimedia (TMM), 2015, 17(11): 1923-1935.
19. Yan Huang, Wei Wang, Liang Wang, Bidirectional Recurrent Convolutional Networks for Multi-frame Super-resolution, Advances in Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2015.
20. Yan Huang, Wei Wang, Liang Wang, Conditional High-order Boltzmann Machine: A Supervised Learning Model for Relation Learning, IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 2015.
