基本信息
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职业迁徙
个人简介
I obtained my Ph.D. degree from the Department of Computer Science and Engineering under the supervision of Prof. Qiang Yang. I got my Bachelor degree from Nanjing University in June 2009, and I was a member of the LAMDA Group under supervision of Prof. Zhi-Hua Zhou. I was a member of the ACM/ICPC team both in Nanjing University and HKUST. From August 2010 to August 2011, I worked with Dr. Xing Xie in Microsoft Research Asia (MSRA) on Mobile Activity Recognition. From 2012-2015, I was the Assistant Coach for HKUST ACM Programming Contest Team, assisting Prof. Ke Yi.
I am awarded 2012 Google Ph.D. Fellowship. Link.
I led a team winning the Semantic Place Classification Task in Nokia Mobile Data Challenge (MDC). Workshop Link & Award Pictures.
Research Interests
Transfer Learning, Social Activity Recognition and Data mining/Machine Learning in general. I am also interested in large scale data mining systems and functional programming.
Conferences and Journals
Ying Wei, Yin Zhu, Cane Leung, Yangqiu Song, Qiang Yang. Instilling Social to Physical: Semi-supervised Heterogeneous Transfer Learning. Accepted in AAAI'16, February 12-17, 2016, Phoenix, Arizona USA.
Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui. Predicting Smartphone Adoption in Social Networks. Accepted in PAKDD'15, Ho Chi Minh City, Vietnam, May 19-22, 2015. PDF
Zhongqi Lu, Yin Zhu, Sinno J. Pan, Evan W. Xiang, Yujing Wang, Qiang Yang. Source Free Transfer Learning for Text Classification. Accepted in AAAI'14, July 27-31, 2014, Quebec City, Canada. PDF
Defu Lian, Yin Zhu, Xing Xie, Enhong Chen. Analyzing Location Predictability on Location-Based Social Networks. Accepted in PADKDD'14, Tainan, Taiwan. PDF
Yin Zhu, Erheng Zhong, Sinno Jialin Pan, Xiao Wang, Minzhe Zhou, and Qiang Yang. Predicting User Activity Level in Social Networks CIKM'13, San Francisco, Nov 2013. PDF
Yin Zhu, Erheng Zhong, Zhongqi Lu, and Qiang Yang. Feature Engineering for Semantic Place Prediction Accepted for publication in Pervasive and Mobile Computing Journal. PDF
Erheng Zhong, Wei Fan, Yin Zhu, and Qiang Yang. Modeling the Dynamics of Composite Social Networks. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13), August, 2013, Chicago, Illinois, USA. PDF
Yin Zhu, Xiao Wang, Erheng Zhong, Nanthan N. Liu, He Li, and Qiang Yang. Discovering Spammers in Social Networks. In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI-12). Toronto, Ontario, Canada. July 22-26, 2012. PDF
Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno J. Pan, Gui-Rong Xue, Yong Yu and Qiang Yang. Heterogeneous Transfer Learning for Image Classification. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), San Francisco, California, USA, August 7-11, 2011. PDF Code
Xie Xie, Jiu-Lun Fan, Yin Zhu. The optimal All-Partial-Sums algorithm in commutative semigroups and its applications for image thresholding segmentation. Theoretical Computer Science, 2011, 412(15): 1415-1429. Link
Yingzhen Yang, Yin Zhu, Qunsheng Peng. Image Completion Using Structural Priority Belief Propagation. ACM International Conference on Multimedia (ACM MM, Content Track), pages 717-720, 2009. Link
Yingzhen Yang, Yin Zhu, Chunxiao Liu, Chengfang Song, Qunsheng Peng. Entertaining Video Warping. Proc. of 11th IEEE international conference on CAD/Graphics, page 174-177, 2009. Link
研究兴趣
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AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligencepp.1338-1344, (2016)
引用26浏览0EI引用
26
0
Erheng Zhong,Wei Fan,Qiang Yang, User Behavior Learning, Transfer In Composite Social,Ben Tan,Kaixiang Mo, User Demographics, Prediction Based, Major Conference,Yin Zhu,Sinno Jialin Pan,
mag(2014)
引用23浏览0引用
23
0
AAAI'14: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligenceno. 1 (2014): 122-128
引用62浏览0EI引用
62
0
KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Chicago
Illinois
USA
August, 2013pp.937-945, (2013)
KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Chicago
Illinois
August, 2013pp.1-6, (2013)
CIKM'13: 22nd ACM International Conference on Information and Knowledge Management
San Francisco
California
USA
October, 2013pp.159-168, (2013)
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