黄    鑫     [Google学术档案]   [English Version]

博士生 （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: huangxin_14@pku.edu.cn

研究方向

• 跨媒体生成与推理
• 迁移学习

教育经历

• 硕博     计算机应用技术 北京大学王选计算机研究所     2014-2020
• 本科     计算机科学与技术 北京大学信息科学技术学院     2010-2014

奖励荣誉

• 2019     北京大学博士研究生校长奖学金
• 2019     北京大学研究生专项学业奖学金优秀科研奖
• 2018     北京大学优秀科研奖
• 2016     北京大学杨芙清-王阳元院士奖学金
• 2015     北京大学计算机所优秀学生
• 2014     北京大学计算机所王选奖学金
• 2014     北京大学“优秀毕业生”
• 2013     五四奖学金
• 2011     冈松奖学金

发表论文

1. Xin Huang, Yuxin Peng and Zhang Wen, "Visual–Textual Hybrid Sequence Matching for Joint Reasoning", IEEE Transactions on Cybernetics (TCYB), Vol. 51, No. 12, pp. 5692-5705, Dec. 2021.【pdf】【source code】
2. Xin Huang, Yuxin Peng and Zhang Wen, "RCE-HIL: Recognizing Cross-media Entailment with Heterogeneous Interactive Learning", ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 16, No. 1, p. 5, Feb. 2020.(SCI, EI)【pdf】【source code】
3. Kangle Deng, Tianyi Fei, Xin Huang and Yuxin Peng, "IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video Generation", 28th International Joint Conference on Artificial Intelligence (IJCAI), pp. 2216-2222, Macao, China, Aug. 10-16, 2019.(Oral, Full Paper)(EI)【pdf】
4. Xin Huang and Yuxin Peng, "TPCKT: Two-level Progressive Cross-media Knowledge Transfer", IEEE Transactions on Multimedia (TMM), Vol. 21, No. 11, pp. 2850-2862, Nov. 2019.(SCI, EI)【pdf】【source code】
5. Xin Huang, Yuxin Peng and Mingkuan Yuan, "MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval", IEEE Transactions on Cybernetics (TCYB), Vol. 50, No. 3, pp. 1047-1059, Mar. 2020.(SCI, EI)【pdf】【source code】
6. Xin Huang and Yuxin Peng, "Deep Cross-media Knowledge Transfer", 31st IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8837–8846, Salt Lake City, Utah, USA, Jun. 18-22, 2018.(Spotlight, Full Paper)(EI)【pdf】【source code】
7. Xin Huang, Yuxin Peng and Mingkuan Yuan, "Cross-modal Common Representation Learning by Hybrid Transfer Network", 26th International Joint Conference on Artificial Intelligence (IJCAI), pp. 1893-1900, Melbourne, Australia, Aug. 19-25, 2017.(Oral, Full Paper)(EI)【pdf】【source code】
8. Xin Huang and Yuxin Peng, "Cross-modal Deep Metric Learning with Multi-task Regularization", 18th IEEE International Conference on Multimedia and Expo (ICME), pp. 943-948, Hong Kong, Jul. 10-14, 2017.(Full Paper)(EI)【pdf】
9. Yuxin Peng, Xin Huang and Yunzhen Zhao, "An Overview of Cross-media Retrieval: Concepts, Methodologies, Benchmarks, and Challenges", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 28, No. 9, pp. 2372-2385, Sep. 2018.(SCI, EI)【pdf】【dataset】
10. Yuxin Peng, Xin Huang and Jinwei Qi, "Cross-media Shared Representation by Hierarchical Learning with Multiple Deep Networks", 25th International Joint Conference on Artificial Intelligence (IJCAI), pp. 3846-3853 , New York City, New York, USA, Jul. 9-15, 2016.(Oral, Full Paper)(EI)【pdf】【source code】
11. Yuxin Peng, Jinwei Qi, Xin Huang and Yuxin Yuan, "CCL: Cross-modal Correlation Learning with Multigrained Fusion by Hierarchical Network", IEEE Transactions on Multimedia (TMM), Vol. 20, No. 2, pp. 405-420, Feb. 2018.(SCI,EI)【pdf】【source code】
12. Yuxin Peng, Xiaohua Zhai, Yunzhen Zhao and Xin Huang, "Semi-Supervised Cross-Media Feature Learning with Unified Patch Graph Regularization", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 26, No. 3, pp. 583-596 , Mar. 2016.(SCI, EI)【pdf】【source code】
13. 彭宇新, 綦金玮, 黄鑫, "多媒体内容理解的研究现状与展望", 计算机研究与发展 (60周年特刊特邀综述论文), 2019年1月, 第56卷第1期, 183~208页.(EI)【pdf】
14. Jinwei Qi, Xin Huang and Yuxin Peng, "Cross-media Similarity Metric Learning with Unified Deep Networks", Multimedia Tools and Applications (MTAP), Vol. 76, No. 23, pp. 25109-25127, Dec. 2017.(SCI,EI)【pdf】

个人爱好

• 音乐
• 哲学

毕业感言

• 记得有位老师说过，在北大至少呆十年，才有资格说是一名北大人。十年之前，我作为一名本科新生开始了大学生涯。而今在毕业之际回顾过往，才渐渐体会到，十年的时间究竟分量几许，能够沉淀下多少东西。在这段时间里，尤其是读博的后几年中，我遇到了各种各样的坎坷和挑战。虽不能风轻云淡地讲战胜了困难，但足以不无自豪地说战胜了自己。由衷感谢彭老师的支持与理解，使我能够顺利完成学业，充分磨练了自己的能力、胸怀与眼界。特别是彭老师在学术研究、为人处世上的严格与细致，给我留下了终生难忘的印象，所谓言传身教莫过于此。MIPL是一个大家庭，同学之间融洽的氛围十分难得。一届又一届老面孔离开，换来的是一个又一个新成员，不变的是对卓越的追求和奋斗的决心。相信凭借着深厚的底蕴积累与创新精神，我们定能继续攀登高峰，再创辉煌。