何 相 腾     [Google学术档案]   [English Version]

博士 （导师：彭宇新教授）

多媒体信息处理研究室

北京大学王选计算机研究所

北京市海淀区 中关村北大街128号，100080

E-mail: hexiangteng@pku.edu.cn

研究方向

• 细粒度分析
• 多模态内容理解
• 视频检索

教育经历

博士	北京大学王选计算机研究所	2014-2020
本科	南开大学信息科学技术学院	2010-2014

奖励荣誉

• 2020.12     2020年CCF优秀博士学位论文奖
• 2020.08     北京大学优秀博士学位论文奖
• 2020.06     北京市普通高等学校优秀毕业生
• 2020.06     北京大学优秀毕业生
• 2019.10     华为奖学金
• 2019.10     北京大学三好学生
• 2018.12     百度奖学金（全球10名获奖学生）
• 2018.12     北京大学计算机所优秀学生、优秀论文奖
• 2018.11     北京大学国家奖学金
• 2018.06     北京大学博士研究生校长奖学金
• 2018.05     北京大学信息科学技术学院“学术十杰”
• 2017.10     华为奖学金

相关报道

• 2020-12-31：获2020年CCF优秀博士学位论文奖。

• 2020-08-24：获北京大学优秀博士学位论文奖。

• 2019-12-07：《读芯术》媒体报道。

• 2018-12-28：获2018年百度奖学金。

发表论文

1. Xiangteng He#, Yulin Pan#, Mingqian Tang, Yiliang Lv and Yuxin Peng*, "Learn from Unlabeled Videos for Near-duplicate Video Retrieval”, The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR), Madrid, July 11-15, 2022.
2. 何相腾, 彭宇新*, "跨域和跨模态适应学习的无监督细粒度视频分类", 软件学报, 2021年11月, 第32卷第11期, 3482-3495页.【pdf】
3. Peng Wu, Xiangteng He*, Mingqian Tang, Yiliang Lv and Jing Liu, “HANet: Hierarchical Alignment Networks for Video-Text Retrieval”, 29th ACM Multimedia Conference (ACM MM), pp. 3518–3527, Chengdu, China, Oct. 20-24, 2021.【pdf】【source code】
4. Zhen Han, Xiangteng He*, Mingqian Tang and Yiliang Lv, “Video Similarity and Alignment Learning on Partial Video Copy Detection”, 29th ACM Multimedia Conference (ACM MM), pp. 4165–4173, Chengdu, China, Oct. 20-24, 2021.【pdf】【project】
5. Xiangteng He, Yuxin Peng* and Liu Xie, "A New Benchmark and Approach for Fine-grained Cross-media Retrieval", 27th ACM Multimedia Conference (ACM MM), pp. 1740-1748, Nice, France, Oct. 21-25, 2019.(EI)【pdf】 【source code】【dataset】
6. Xiangteng He, Yuxin Peng* and Junjie Zhao, "Which and How Many Regions to Gaze: Focus Discriminative Regions for Fine-grained Visual Categorization", International Journal of Computer Vision (IJCV), Vol. 127, No. 9, pp. 1235-1255, Sep. 2019.(SCI, EI)【pdf】
7. Xiangteng He and Yuxin Peng*, "Fine-grained Visual-textual Representation Learning", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 30, No. 2, pp. 520-531, Feb. 2020.(SCI, EI)【pdf】
8. Xiangteng He, Yuxin Peng* and Junjie Zhao, "Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 29, No. 5, pp. 1394-1407, May. 2019.(SCI, EI)【pdf】【source code】
9. Xiangteng He and Yuxin Peng*, "Multi-attention Guided Activation Propagation in CNNs", 1st Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp. 16-27, Guangzhou, China, Nov. 23-26, 2018.(EI)【pdf】
10. Xiangteng He and Yuxin Peng*, "Only Learn One Sample: Fine-Grained Visual Categorization with One Sample Training", 26th ACM Multimedia Conference (ACM MM), pp. 1372-1380, Seoul, Korea, Oct. 22-26, 2018.(Oral, Full Paper)(EI)【pdf】
11. Xiangteng He, Yuxin Peng* and Junjie Zhao, "StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization", 27th International Joint Conference on Artificial Intelligence (IJCAI), pp. 741-747, Stockholm, Sweden, Jul. 13-19, 2018.(Oral, Full Paper)(EI)【pdf】
12. Yuxin Peng*, Xiangteng He and Junjie Zhao, "Object-Part Attention Model for Fine-grained Image Classification", IEEE Transactions on Image Processing (TIP), Vol. 27, No. 3, pp. 1487-1500, Mar. 2018.(SCI,EI)【pdf】【source code】
13. Xiangteng He, Yuxin Peng* and Junjie Zhao, "Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN", 25th ACM Multimedia Conference (ACM MM), pp. 627-635, Mountain View, CA, USA, Oct. 23-27, 2017.(Full Paper)(EI)【pdf】【source code】
14. Xiangteng He and Yuxin Peng*, "Fine-grained Image Classification via Combining Vision and Language", 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5994-6002, Honolulu, Hawaii, USA, Jul. 21-26, 2017.(Full Paper)(EI)【pdf】
15. Xiangteng He and Yuxin Peng*, "Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-grained Image Classification", 31st AAAI Conference on Artificial Intelligence (AAAI), pp. 4075-4081, San Francisco, California, USA, Feb. 4–9, 2017.(Full Paper)(EI)【pdf】
16. Junjie Zhao, Yuxin Peng* and Xiangteng He, "Attribute Hierarchy based Multi-task Learning for Fine-grained Image Classification", Neurocomputing, Vol. 395, pp. 150-159, Jun. 2020.(SCI, EI)【pdf】

个人爱好

• 历史
• 体育运动

毕业感言

• 从2013年7月至今已经在实验室待了七年的时间，回首过去：看到了自己面对科研茫然无措时，是彭老师为我指点迷津，自己从一个小白慢慢成长，做出了一点成绩；看到了自己粗心出错制造”麻烦“时，是彭老师包容了我的缺点，言传身教，自己学到了做事要细心、严谨、认真；看到了自己在生活学习中遇到困难时，是彭老师以及实验室同学们主动帮助我，让我顺利克服困难。七年的时光，既丰富又精彩，既有欢声笑语也有荆棘挫折，但我觉得自己是幸运的。在此离别之际，感谢彭老师多年来学业上的指导和生活上的帮助；感谢实验室提供了非常棒的学习环境；感谢实验室同学们的帮助与鼓励。祝实验室蒸蒸日上！