熊輝(百度BIL,TIC主任、美國羅格斯大學教授)

熊輝(百度BIL,TIC主任、美國羅格斯大學教授)

熊輝，男，1972年5月生，江西省南昌市人，美國羅格斯-新澤西州立大學羅格斯商學院管理科學與信息系統系正教授 （終身教授）、院長講席教授，並擔任中國科學技術大學大師講席教授（客座）。

熊輝教授一直致力於數據挖掘、大數據分析、商務智慧型、網際網路證券和信息安全等領域的科學研究。因在大數據/數據挖掘領域的突出成就和影響力，熊輝教授在2014年當選ACM傑出科學家 。

現任百度研究院商業智慧型實驗室主任、百度人才智庫主任。

基本介紹

人物經歷,社會職務,研究方向,學術服務,人才培養,主講課程,指導博士研究生,獲得榮譽,出版著作,書籍,期刊論文,會議論文,

人物經歷

1995，中國科學技術大學，學士
2000，新加坡國立大學，碩士
2005，美國明尼蘇達大學，博士
2018年1月18日，熊輝加盟百度研究院。

社會職務

熊輝教授曾在清華大學經濟管理學院，中國人民大學商學院，長江商學院，中國科學技術大學管理學院，南京大學商學院，美國BSE企業家商學院，大連理工大學管理學院，廈門大學和大連高級經理學院講授商務智慧型EMBA以及MBA課程，同時還被中國國家龍星計畫作為海外名師邀請為數據挖掘專門授課老師，受到廣泛好評。
熊輝教授還擔任中國證券業協會網際網路證券專業委員會、中國計算機學會大數據專家委員會委員和中國房地產評估協會顧問。

研究方向

1 數據挖掘
2 移動計算
3 商務智慧型
4 人工智慧
5 人才管理計算

學術服務

數據挖掘頂級會議ACM KDD-2018 Research Track，ACM KDD-2012Industry and Government Track、IEEE ICDM-2013程式委員會主席
2018中國大數據技術大會（BDTC）大會主席
第29屆中國資料庫學術會議和IEEE ICDM-2015大會主席
IEEE Transactions on Knowledge and Data Engineering （TKDE）頂級期刊編委
ACM Transactions on Management Information Systems期刊編委
ACM Transactions on Knowledge Discovery from Data （TKDD）期刊編委
IEEE Transactions on Big Data期刊編委
美國國家科學基金（NSF）
中國國家自然科學基金（NSFC）海外及港澳學者合作研究基金（海外傑出青年項目）
德國政府基金

人才培養

主講課程

《大數據商務智慧型》、《數據挖掘》

指導博士研究生

熊輝教授培養了十餘名優秀博士研究生，均成為美國知名大學TENURE-TRACK助理教授或在國際知名企業從事科研工作，包括田納西大學（University of Tennessee-Knoxville） 、亞利桑那大學 （University of Arizona）、紐約州立大學石溪分校（Stony Brook University）、中佛羅里達大學（University of Central Florida）、喬治梅森大學（George Mason University）、德雷塞爾大學 （Drexel University）、香港城市大學（City University of Hong Kong）、Facebook和IBM Research。

獲得榮譽

1. 哈佛商業評論“拉姆·查蘭管理實踐獎”－全場大獎、人力資源實踐獎，2018
2. 人民大學商學院“第八屆中國人力資源管理學院獎”－中國人力資源管理最佳實踐獎, 2018
3. 前程無憂“中國典範僱主”-中國典範僱主、人力資源數位化管理典範，2018
4. IEEE ICDM-2017傑出服務貢獻獎（Outstanding Service Award），2017
5. 美國羅格斯大學院長講席教授（RBS Dean’s Research Professor）, 2016
6. ACM傑出科學家（ACM Distinguished Scientist），2014
7. IEEE ICDM-2011最佳科研論文獎（Best Research Paper Award）

出版著作

書籍

代表性論著包括：1本專著，3本編著，高水平學術論文200餘篇
  • 專著：Hui Xiong, Hyperclique pattern discovery: Algorithms and applications, ISBN: 0-542-26663-6, ProQuest Information and Learning, 2006.
  • 編著：My T. Thai, Weili Wu and Hui Xiong, Big Data in Complex and Social Networks (Chapman & Hall/CRC Big Data Series) . ISBN-10: 1498726844, ISBN-13: 978-1498726849, November, 2016.
  • 編著：Shashi Shekhar, Hui Xiong (Editor-in-Chiefs), Encyclopedia of GIS (The book web site maintained by Springer). (Brochure). ISBN-10: 0387359753, ISBN-13: 978-0387359755, Springer; 1 edition, January, 2008. CHOICE Outstanding Academic Title of the Year 2008.
  • 編著：Weili Wu, Hui Xiong, Shashi Shekhar (Eds.), Clustering and Information Retrieval , ISBN: 1-4020-7682-7, Kluwer Academic Publishers, 2003.

期刊論文

近5年代表性期刊：
  • Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen. Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
  • Jie Liu, Bin Liu, Yanchi Liu, Lina Feng, Huipeng Chen, Hui Xiong, Yalou Huang. Personalized Air Travel Prediction: A Multi-factor Perspective, ACM Transaction on Intelligent Systems and Technology (TIST), 2018.
  • Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li. Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning, ACM Transactions on Management Information Systems (TMIS), 2018.
  • Wenjun Zhou, Hui Xiong, Lian Duan, Keli Xiao, and Robert Mee. Paradoxical correlation pattern mining, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
  • Bowen Du, Wenjun Zhou, Chuanren Liu, Yifeng Cui, and Hui Xiong. Transit pattern detection using tensor factorization, INFORMS Journal on Computing (JOC), 2018.
  • Jingyuan Yang, Chuanren Liu, Mingfei Teng, Ji Chen, Hui Xiong. A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017.
  • Keli Xiao, Qi Liu, Chuanren Liu, and Hui Xiong. Price Shock Detection With an Influence-Based Model of Social Attention, ACM Transactions on Management Information Systems (TMIS), 9(1): NO. 2 (2017).
  • Yanhong Guo, Wenjun Zhou, Chunyu Luo, Chuanren Liu, Hui Xiong. Instance-Based Credit Risk Assessment for Investment Decisions in P2P Lending, European Journal of Operational Research (EJOR), 249(2): 417-426 (2016)
  • Hao Zhong, Chuanren Liu, Junwei Zhong and Hui Xiong. Which Startup to Invest in: A Personalized Portfolio Strategy, Annals of Operations Research (ANOR), pp 1-22 (2016).
  • Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, Keli Xiao. A Proactive Workflow Model for Healthcare Operation and Management, IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(3): 586-598 (2016).
  • Bin Liu, Yao Wu, Neil Zhengqianag Gong, Junjie Wu, Hui Xiong, Martin Ester. Structural Analysis of User Choices for Mobile App Recommendation, ACM Transactions on Knowledge Discovery from Data (TKDD), 11(2): NO. 17 (2016).
  • Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou. Modeling of Geographical Dependencies for Real Estate Ranking, ACM Transactions on Knowledge Discovery from Data (TKDD), 11(1): NO. 11 (2016).
  • Yanjie Fu, Hui Xiong, Xinjiang Lu, Jin Yang, Can Chen Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps, IEEE TRANSACTIONS ON MOBILE COMPUTING (TMC), 15(11): 2851-2864 (2016).
  • Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang. Temporal skeletonization on sequential data: patterns, categorization, and visualization, IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1): 211-223 (2016)
  • Xiuyuan Zheng, Jie Yang, Yingying Chen, Hui Xiong. An Adaptive Framework Coping with Dynamic Target Speed for Device-Free Passive Localization, IEEE Transactions on Mobile Computing (TMC), 14(6): 1138-1150 (2015)
  • Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, Zijun Yao. A General Geographical Probabilistic Factor Model for Point of Interest Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(5): 1167-1179 (2015).
  • Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, Hui Xiong. Discovering Urban Functional ZonesUsing Latent Activity Trajectories. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(3): 712-725 (2015).
  • Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao, Jian Chen. K-Means-Based Consensus Clustering: A Unified View. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(1): 155-169 (2015).
  • Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen. Discovery of Ranking Fraud for Mobile Apps. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(1): 74-87 (2015).
  • Yong Ge, Hui Xiong, Alexander Tuzhilin, and Qi Liu Cost-aware Collaborative Filtering for Travel Tour Recommendations, ACM Transactions on Information Systems (TIS), Volume 32 Issue 1, Article No.4, January 2014.
  • Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian Towards Personalized Context Recognition for Mobile Users: A Semi-Supervised Bayesian HMM Approach ACM Transactions on Knowledge Knowledge Discovery from Data (TKDD) 9(2): 1-29(2014)
  • Yong Ge, Guofei Jiang, Min Ding, Hui Xiong, Ranking Metric Anomaly in Invariant Networks,, ACM Transactions on Knowledge Discovery from Data (TKDD) 8(2): 1:30 (2014)
  • Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian, Mobile App Classification with Enriched Contextual Information, IEEE Transactions on Mobile Computing (TMC) 13(7): 1550-1563 (2014)

會議論文

近5年代表性會議論文：
  • Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, and Enhong Chen. Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model. In Proceedings of the 26th World Wide Web Conference (WWW 2019), 2019.
  • Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor Sheng, Zhiming Cui, Xiaofang Zhou, and Hui Xiong. Recurrent Convolutional Neural Network for Sequential Recommendation. In Proceedings of the 26th World Wide Web Conference (WWW 2019), 2019.
  • Huang Xu, Zhiwen Yu, Bin Guo, Mingfei Teng, and Hui Xiong. Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden, July 13-19, 2018.
  • Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, and Hui Xiong. Representing Urban Functions through Zone Embedding with Human Mobility Patterns. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden, July 13-19, 2018.
  • Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, and Sanglu Lu. Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden, July 13-19, 2018.
  • Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, and Hui Xiong. A Joint Learning Approach to Intelligent Job Interview Assessment. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden, July 13-19, 2018.
  • Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, and Hui Xiong. Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2018), Ann Arbor, MI, USA, 2018.
  • Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, and Jian Wu. Sequential Recommender System based on Hierarchical Attention Networks. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden, July 13-19, 2018.
  • Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, and Hui Xiong. Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI'18), New Orleans, LA, USA, 2018.
  • Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric Xing and Jieping Ye. Finding Structures of Large Matrices Through Compression. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  • Hao Wang, Yanmei Fu, Qinyong Wang, Changying Du, Hongzhi Yin and Hui Xiong. A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Mobile Users. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  • Junming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu and Hui Xiong. Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  • Junming Liu, Yanjie Fu, Jingci Ming, Yong Ren, Leilei Sun and Hui Xiong. Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  • Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong. Point of Interest Demand Modeling with Human Mobility Patterns. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  • Sen Yang, Xin Dong, Leilei Sun, Yichen Zhou, Richard A. Farneth, Hui Xiong, Randall S. Burd, Ivan Marsic. A Data-driven Process Recommender Framework. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  • Yanjie Fu, Charu Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, and Hui Xiong. REMIX: Automated Exploration for Interactive Outlier Detection. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  • Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong and Hongke Zhao. Prospecting the Career Development of Talents: A Survival Analysis Perspective. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  • Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun and Hui Xiong. Learning to Recommend Accurate and Diverse Items. In Proceedings of the 26th World Wide Web Conference (WWW-17), 2016.
  • Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu and Hui Xiong. Collaborative Company Profiling: Insights from an Employee’s Perspective. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017.
  • Xinjiang Lu, Zhiwen Yu, Leilei Sun, Chuanren Liu, Hui Xiong and Chu Guan. Characterizing the life cycle of point of interests using human mobility patterns. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), 2016.
  • Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong. Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  • Huang Xu, Jingyuan Yang, Zhiwen Yu, Hui Xiong, Hengshu Zhu. Talent Circle Detection in Job Transition Networks. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016..
  • Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie. Trend Analysis of Recruitment Market with Sequential Latent Variable Model. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  • Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie. Data-driven Automatic Treatment Regimen Development and Recommendation. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  • Bowen Du, Chuanren Liu, Wenjun Zhou, Hui Xiong. Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016..
  • Yuan Zuo, Junjie Wu, Has Lin, Hui Xiong. Pseudo-Document-based Topic Modeling of Short Texts without Auxiliary Information. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016..
  • Yanchi Liu, Chuanren Liu, Bin Liu,Meng Qu, Hui Xiong. Unified Point-of-Interest Recommendation with Temporal Interval Assessment. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  • Junming Liu, Leilei Sun, Hui Xiong, Weiwei Chen. Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  • Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu. Days on Markets: Measuring the Liquidity of Real Estate Markets. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  • Defu Lian, Yong Ge, Nicholas Yuan, Xing Xie, Hui Xiong. Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback. 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016.
  • Chuanren Liu, Fei Wang, Jianying Hu and Hui Xiong. Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework. The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), 2015.
  • Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu. Real Estate Ranking via Mixed Land-use Latent Models. The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), 2015.
  • Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, and Hui Xiong. Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference, In Proceedings of the Eighth International Conference on Web Search and Data Mining (WSDM 2015), (Full Paper, 16.4% acceptance), 2015.
  • Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen. Mobile App Recommendation with Security and Privacy Awareness. The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), 2014.
  • Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhihua Zhou. Exploiting Geographic Dependencies for Real Estate Appraisal: A Mutual Perspective of Ranking and Clustering. The 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2014), 2014.
  • Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong. A Cost-Effective Recommender System for Taxi Drivers. 2014 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), 2014.
  • Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang. Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization. The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), 2014.
  • Chuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins. Proactive Workflow Modeling by Stochastic Processes with Application to Healthcare Operation and Management. The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), 2014.

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