数据挖掘20位学术新秀, 16名华人入选, 科大亮丽

海归学者发起的公益学术平台

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交流学术，偶尔风月

在现今如火如荼的大数据时代，从学术研究到工业应用，从科学发现到医疗卫生服务，数据挖掘吸引了来自机器学习、统计、数据库、万维网、生物信息学、多媒体、自然语言处理、人机交互、社会网络计算、以及高性能计算等众多领域的专家和学者。ACM SIGKDD（简称KDD）作为数据挖掘领域的顶级国际会议，其评选出的20位KDD新星，也格外引人注目。

KDD论文录取率极低，百度表现不俗，但中国高校鲜有入选。不过20位KDD新星，却以华人学者为主，更有6位科大校友。

饕餮盛宴

近日，数据挖掘领域的顶级国际会议ACM SIGKDD （KDD2016）在美国旧金山召开。此次KDD大会堪称史上最大规模，有超过2700名来自学术界和工业界人士参与此次盛会，共吸引了1115篇投稿。其中研究专题投稿论文784篇，最终仅有142篇录用；应用数据科学专题投稿论文331篇，录用仅有66篇。可见大会论文竞争之激烈，水平之高超。此外，由于KDD的应用数据科学专题放开了过去只接收工业界投稿的限制，吸引了大量来自高校的学者投稿，因此今年的331篇投稿较之去年的189篇投稿有了大幅度的提升。

从以下录取论文的单位分布来看，Linkedin独领风骚，微软紧随其后，IBM和百度也表现不俗，显示工业界的强大实力。而领先的高校包括芝加哥大学、密歇根大学、和卡内基梅隆大学。国内高校没有一家入选两篇论文。

KDD新星

基于KDD大会的作者及论文等相关大数据信息，微软学术搜索评选出近6年里上升最快的二十位KDD学术新星。虽然国内研究单位在KDD入选论文方面尚有差距，引领数据挖掘潮流的学术新星，却有16位华人青年学者，其中更有6位科大校友，显示中国人在这一领域的十足后劲。下面我们介绍一下这些入选新星，和他（她）们的工作：

1. ，加州大学圣塔芭芭拉分校   2010年毕业于中国科学技术大学

2. 相关工作：

3. Exploiting Relevance Feedback in Knowledge Graph Search;

4. Analyzing Expert Behaviors in Collaborative Networks;

5. Network Mining and Analysis for Social Applications;

6. Synthetic Review Spamming and Defense

1. 相关工作：

2. Multi-layer Representation Learning for Medical Concepts;

3. FLASH: Fast Bayesian Optimization for Data Analytic Pipelines;

4. Deep Computational Phenotyping;

5. FBLG: a simple and effective approach for temporal dependence discovery from time series data

1. 2012年毕业于浙江大学 (本科)

1. 相关工作：

2. Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding;

3. ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering;

4. Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach;

5. ClusCite: effective citation recommendation by information network-based clustering

6. 于国立台湾大学 (本科)

7. 相关工作：

8. Ranking Universities Based on Career Outcomes of Graduates;

9. An Empirical Study on Recommendation with Multiple Types of Feedback;

10. GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction;

11. Personalizing LinkedIn Feed;

12. Activity ranking in LinkedIn feed;

13. Spatiotemporal Personalized Recommendation of Social Media Content

1. 毕业于北京航空航天大学

2. 相关工作：

3. Infinite Ensemble for Image Clustering;

4. Spectral Ensemble Clustering;

5. SEA: a system for event analysis on chinese tweets

1. 2009年毕业于四川大学 (硕士)

2. 相关工作：

3. Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit;

4. Applying data mining techniques to address critical process optimization needs in advanced manufacturing;

5. FIU-Miner: a fast, integrated, and user-friendly system for data mining in distributed environment

1. 2008年毕业于中国科学技术大学 (本科)

2. 相关工作：

3. Days on Market: Measuring Liquidity in Real Estate Markets;

4. Real Estate Ranking via Mixed Land-use Latent Models;

5. Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering;

6. Learning geographical preferences for point-of-interest recommendation

7. 2006年毕业于浙江大学 (本科)

8. 相关工作：

9. Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned;

10. Seven rules of thumb for web site experimenters;

11. Online controlled experiments at large scale;

12. Trustworthy online controlled experiments: five puzzling outcomes explained

1. 相关工作：

2. Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting;

3. Multi-Task Learning for Spatio-Temporal Event Forecasting;

4. STED: semi-supervised targeted-interest event detectionin in twitter

1. Carnegie Mellon University

2. 相关工作：

3. Whither Social Networks for Web Search?;

4. Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments;

5. GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries

6. 2012年毕业于中国科学技术大学 (博士)

7. 相关工作：
   

8. Contextual Intent Tracking for Personal Assistants;

9. Collaborative Knowledge Base Embedding for Recommender Systems;

10. Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data

1. Georgia Institute of Technology

2. 相关工作：

3. Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis;

4. Activity-edge centric multi-label classification for mining heterogeneous information networks;

5. Social influence based clustering of heterogeneous information networks;

6. Multimedia features for click prediction of new ads in display advertising

7. 2011年毕业于中国科学技术大学 (本科)

8. 相关工作：

9. Compressing Convolutional Neural Networks in the Frequency Domain;

10. Optimal Action Extraction for Random Forests and Boosted Trees;

11. Fast flux discriminant for large-scale sparse nonlinear classification;

12. Density-based logistic regression;

13. An integrated data mining approach to real-time clinical monitoring and deterioration warning

1. 2010年毕业于南京航空航天大学 (硕士)

2. 相关工作：

3. Simultaneous feature and feature group selection through hard thresholding;

4. Multi-source learning with block-wise missing data for Alzheimer's disease prediction;

5. Robust principal component analysis via capped norms;

6. Optimal exact least squares rank minimization

7. 2014年毕业于中国科学技术大学 (博士)

8. 相关工作：

9. Recruitment Market Trend Analysis with Sequential Latent Variable Models;

10. Days on Market: Measuring Liquidity in Real Estate Markets;

11. Talent Circle Detection in Job Transition Networks;

12. Point-of-Interest Recommendations: Learning Potential Check-ins from Friends;

13. Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective;

14. Real Estate Ranking via Mixed Land-use Latent Models;

15. Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications;

16. A cost-effective recommender system for taxi drivers;

17. Mobile app recommendations with security and privacy awareness

1. 2011年毕业于上海交通大学 (本科)

2. 相关工作：

3. Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising;

4. Statistical Arbitrage Mining for Display Advertising;

5. Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails;

6. Optimal real-time bidding for display advertising;

7. Joint optimization of bid and budget allocation in sponsored search

1. Arizona State University, Military Academy

   相关工作：
   

2. Early Identification of Violent Criminal Gang Members;

3. Mining for Causal Relationships: A Data-Driven Study of the Islamic State;

4. Reducing gang violence through network influence based targeting of social programs;

5. Mining for geographically disperse communities in social networks by leveraging distance modularity

1. 2008年毕业于中国科学技术大学 (本科)
   

2. 相关工作：
   

3. Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records;

4. Unified Point-of-Interest Recommendation with Temporal Interval Assessment;

5. Data-driven Automatic Treatment Regimen Development and Recommendation;

6. Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework;

7. Temporal skeletonization on sequential data: patterns, categorization, and visualization;

8. Proactive workflow modeling by stochastic processes with application to healthcare operation and management;

9. A taxi business intelligence system

1. Kyoto University, Kumamoto University

2. 相关工作：
   

3. Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences;

4. FUNNEL: automatic mining of spatially coevolving epidemics;

5. Rise and fall patterns of information diffusion: model and implications;

6. Fast mining and forecasting of complex time-stamped events

7. 2010年毕业于清华大学 (本科)

8. 相关工作：
   

9. CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors;

10. CatchSync: catching synchronized behavior in large directed graphs;

11. FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery

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