A conversation with Dr. Edward Y. Chang

Ample evidence shows that KDD has become a major topic of interest in both research and industry in China since 2006. In academia, professor Zhi-Hua Zhou at Nanjing University in 2006 chaired a National Machine Learning workshop, inviting researchers in the greater China area to share their experience. In 2009, the first Asian Conference on Machine learning was inaugurated in Nanjing. In industry, both Google and MSRA influenced China Internet leading companies such as Tencent, Baidu, Alibaba, and subsequently Renren and Shanda, to start their large-scale KDD operations. Three KDD engineers on my team were recruited to join Baidu (Dong Zhang, 2009), Tencent (Yi Wang, 2010), and Renren (Youlin Li, 2011), respectively; and Jian Wang at MSRA joined Alibaba in 2008. To the best of my knowledge, the primary KDD application of these Internet companies this far is monetization, improving their ad/offer relevance and hence revenue.

[1]  Edward Y. Chang,et al.  DynDex: a dynamic and non-metric space indexer , 2002, MULTIMEDIA '02.

[2]  Edward Y. Chang,et al.  Optimal multimodal fusion for multimedia data analysis , 2004, MULTIMEDIA '04.

[3]  Edward Y. Chang,et al.  Support vector machine active learning for image retrieval , 2001, MULTIMEDIA '01.

[4]  Edward Y. Chang,et al.  Parallelizing Support Vector Machines on Distributed Computers , 2007, NIPS.

[5]  Edward Y. Chang,et al.  Parallel Spectral Clustering in Distributed Systems , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Edward Y. Chang,et al.  Confucius and its intelligent disciples , 2010, Proc. VLDB Endow..

[7]  G. I. Kustova,et al.  From the author , 2019, Automatic Documentation and Mathematical Linguistics.

[8]  Edward Y. Chang,et al.  Enhanced perceptual distance functions and indexing for image replica recognition , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Edward Y. Chang,et al.  Pfp: parallel fp-growth for query recommendation , 2008, RecSys '08.

[10]  Edward Y. Chang,et al.  Collaborative filtering for orkut communities: discovery of user latent behavior , 2009, WWW '09.

[11]  Edward Y. Chang,et al.  KBA: kernel boundary alignment considering imbalanced data distribution , 2005, IEEE Transactions on Knowledge and Data Engineering.

[12]  Edward Y. Chang,et al.  Class-Boundary Alignment for Imbalanced Dataset Learning , 2003 .

[13]  Zhiyuan Liu,et al.  PLDA+: Parallel latent dirichlet allocation with data placement and pipeline processing , 2011, TIST.

[14]  Edward Y. Chang,et al.  Combinational collaborative filtering for personalized community recommendation , 2008, KDD.

[15]  Edward Y. Chang,et al.  Clustering for Approximate Similarity Search in High-Dimensional Spaces , 2002, IEEE Trans. Knowl. Data Eng..

[16]  Dawei Li,et al.  The diploid genome sequence of an Asian individual , 2008, Nature.