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熊輝

（香港科技大學（廣州）協理副校長）

鎖定
熊輝，男，1972年5月生，江西省南昌市人，美國羅格斯-新澤西州立大學傑出教授（終身教授）、院長講席教授，中國科學技術大學大師講席教授（客座）。現任香港科技大學（廣州）協理副校長、人工智能學域主任、人工智能前沿交叉科學實驗室主任。 [13] 
熊輝教授一直致力於數據挖掘、大數據分析、商務智能、互聯網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 , 在2020年當選IEEE Fellow 與 AAAS Fellow。
曾任百度研究院副院長、百度商業智能實驗室主任、百度機器人與自動駕駛實驗室主任、百度人才智庫主任。
中文名
熊輝
外文名
Xiong Hui
國    籍
中國
民    族
漢族
出生地
江西南昌
出生日期
1972年5月
畢業院校
明尼蘇達大學、新加坡國立大學、中國科學技術大學
主要成就
ACM傑出科學家
中國國家自然科學基金委海外傑出青年
中國教育部長江講座教授
IEEE Fellow
AAAS Fellow
職    稱
教授

目錄

  1. 1 人物經歷
  2. 2 社會職務
  3. 3 研究方向
  4. 4 學術服務
  1. 5 人才培養
  2. 6 獲得榮譽
  3. 7 出版著作
  4. ▪ 書籍
  1. ▪ 期刊論文
  2. ▪ 會議論文

熊輝人物經歷

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。

熊輝社會職務

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能EMBA以及MBA課程，同時還被中國國家龍星計劃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互聯網證券專業委員會、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。 [1] 

熊輝研究方向

1 數據挖掘
2 移動計算
3 商務智能
4 人工智能
5 人才管理計算

熊輝學術服務

ACM KDD-2018 Research Track 程序委員會共同主席
ACM KDD-2012 Industry and Government Track 程序委員會共同主席
IEEE ICDM-2015 大會共同主席
IEEE ICDM-2013 程序委員會共同主席
2018年中國大數據技術大會（BDTC）大會主席
2012年中國數據庫學術會議（NDBC）大會主席
IEEE Transactions on Knowledge and Data Engineering （TKDE）、ACM Transactions on Management Information Systems、ACM Transactions on Knowledge Discovery from Data （TKDD）、IEEE Transactions on Big Data期刊編委

熊輝人才培養

主講課程
《大數據商務智能》、《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。

熊輝獲得榮譽

1. AAAS Fellow, 2020 [2] 
2. IEEE Fellow, 2020 [3] 
3. ACM SIGKDD Service Award, 2023 [14] 
4. 羅格斯-新澤西州立大學傑出教授 (Distinguished Professor)， 2021 [12] 
5. 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 [4] 
6. 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 [5] 
7. 前程無憂“中國典範僱主”-中國典範僱主、人力資源數字化管理典範，2018 [6] 
8. IEEE ICDM-2017傑出服務貢獻獎（Outstanding Service Award），2017
9. 美國羅格斯大學院長講席教授（RBS Dean’s Research Professor）, 2016
10. ACM傑出科學家（ACM Distinguished Scientist），2014 [7] 
11. 2011年IEEE ICDM會議最佳科研論文獎（Best Research Paper Award）
12. 2021年AAAI會議最佳論文獎 （Best Paper Award） [11] 

熊輝出版著作

熊輝書籍

代表性論著包括：1本專著，3本編著，高水平學術論文250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.

熊輝期刊論文

近5年代表性期刊： [8] 
  1. Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, and Hui Xiong Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results, ACM Transactions on Information Systems (ACM TOIS), 2021.
  2. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qi Zhang, Qing He, and Hui Xiong. Market-oriented Job Skill Valuation with Cooperative Composition Neural Network, Nature Communications (NCOMMS), 2021.
  3. Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, and Qing He. A Survey on Knowledge Graph-Based Recommendation Systems, IEEE Transactions on Knowledge and Data Engineering (TKDE) (2020).
  4. Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, and Hui Xiong. Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach, IEEE Transactions on Knowledge and Data Engineering (TKDE) (2020).
  5. Tieyun Qian, Yile Liang, Qing Li, and Hui Xiong. Attribute Graph Neural Networks for Strict Cold Start Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), (2020).
  6. Renjun Hu, Jingbo Zhou, Xinjiang Lu, Hengshu Zhu, Shuai Ma, Hui Xiong, NCF: A Neural Context Fusion Approach to Raw Mobility Annotation, IEEE TRANSACTIONS ON MOBILE COMPUTING (TMC), (2020).
  7. Leilei Sun, Chuanren Liu, Guoqing Chen, Chonghui Guo, Hui Xiong, Yanming Xie. Automatic Treatment Regimen Design, IEEE Transactions on Knowledge and Data Engineering (TKDE) (2020).
  8. Hengshu Zhu, Ying Sun, Wenjia Zhao, Fuzhen Zhuang, Baoshan Wang, Hui Xiong. Rapid Learning of Earthquake Felt Area and Intensity Distribution with Real-time Search Engine Queries, Nature Scientific Reports (NSR), 2020.
  9. Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Enhong Chen, Hui Xiong An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment, ACM Transactions on Information Systems (ACM TOIS), 2020.
  10. Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong. Detecting Pickpocket Suspects from Large-Scale Public Transit Records, IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(3): 465-478 (2019).
  11. Xi Zhang, Xianhai Wang, Hongke Zhao, Patricia Ordez de Pablos, Yongqiang Sun, Hui Xiong. An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications, Scientometrics 119(3): 1311-1344 (2019).
  12. Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong. Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data, IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(3): 535-548 (2019).
  13. Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen. Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Network, IEEE Transactions on Mobile Computing (TMC), 2019.
  14. 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), 2019.
  15. Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu. Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling, IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(10): 1926-1939 (2019).
  16. Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zhengyu Niu, Jia He, Qing He, Hui Xiong. Knowledge Triple Mining via Multi-Task Learning, Information Systems, 2018.
  17. 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.
  18. 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. [9-10] 
  19. Bowen Du, Wenjun Zhou, Chuanren Liu, Yifeng Cui, and Hui Xiong. Transit pattern detection using tensor factorization, INFORMS Journal on Computing (JOC), 2018.
  20. Wenjun Zhou, Hui Xiong, Lian Duan, Keli Xiao, and Robert Mee. Paradoxical correlation pattern mining, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
  21. Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu. Intelligent Bus Routing with Heterogeneous Human Mobility Patterns, Knowledge and Information Systems (KAIS), 2017.
  22. 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.
  23. 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).
  24. Leilei Sun, Chonghui Guo, Chuanren Liu and Hui Xiong. Fast affinity propagation clustering based on incomplete similarity matrix, Knowledge and Information Systems, 51(3): 941-963 (2017).
  25. Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Xiaolin Li, Guoqing Chen. Fused latent models for assessing product return propensity in online commerce, Decision Support Systems, 91: 77-88 (2016).
  26. 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).
  27. 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).
  28. 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).
  29. 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)
  30. 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)

熊輝會議論文

近5年代表性會議論文：
  1. Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, and Hui Xiong. Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective. In Proceedings of the 28th World Wide Web Conference (WWW 2021), Ljubljana, 2021.
  2. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, and Hui Xiong. Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. In Proceedings of the 28th World Wide Web Conference (WWW 2021), Ljubljana, 2021.
  3. Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, and Hui Xiong. Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. In Proceedings of the 28th World Wide Web Conference (WWW 2021), Ljubljana, 2021.
  4. Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, andHui Xiong. A Multi-Agent Reinforcement Learning Framework for Intelligent Electric Vehicle Charging Recommendation. In Proceedings of the 28th World Wide Web Conference (WWW 2021), Ljubljana, 2021.
  5. Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, and Hui Xiong. Coupled Layer-wise Graph Convolution for Transportation Demand Prediction. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, 2021.
  6. Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, and Hui Xiong. Community-Aware Multi-Task Transportation Demand Prediction. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, 2021.
  7. Jindong Han, Hao Liu, Hengshu Zhu, Dejing Dou, and Hui Xiong. Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, 2021.
  8. Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, and Hui Xiong. Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, 2021.
  9. Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxi Li, Hui Xiong, and Wancai Zhang. Informer: Beyond Efficient Transformer for Long Sequence Timer-Series Forecasting. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21 Best Paper Award), Virtual Conference, 2021.
  10. Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, and Hui Xiong. Out-of-Town Recommendation with Travel Intention Modeling. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, 2021.
  11. Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, and Hui Xiong. Multi-Modal Transportation Recommendation with Unified Route Representation Learning. In Proceedings of the VLDB Endowment, Copenhagen, Denmark, 2021
  12. Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, and Qing He. A Comprehensive Survey on Transfer Learning. In Proceedings of the IEEE (PIEEE 2020)
  13. Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, and Hui Xiong. Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network. The 26rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Research Track)
  14. Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong and Weifeng Lv. Predicting Temporal Sets with Deep Neural Networks. The 26rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Research Track)
  15. Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma and Hui Xiong. Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. The 26rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Applied Data Science Track)
  16. Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzheng Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, and Hui Xiong. Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. The 26rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Applied Data Science Track)
  17. Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu and Hui Xiong. Competitive Analysis for Points of Interest. The 26rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Research Track)
  18. Kaichen Zhang, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li and Hui Xiong. Geodemographic Influence Maximization. The 26rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Applied Data Science Track)
  19. Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpeppe, Haochao Ying, Hao Liu, and Hui Xiong. Spatial Object Recommendation with Hints: When Spatial Granularity Matters. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2020), Xi'an, China, 2020.
  20. Leilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong, and Weifeng Lv. Dual Sequential Network for Temporal Sets Prediction. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2020), Xi'an, China, 2020.
  21. Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, and Hui Xiong. Spatio-Temporal Dual Graph Attention Networkfor Query-POI Matching. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2020), Xi'an, China, 2020.
  22. Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, and Hui Xiong. Why We Go Where We Go：Profiling User Decision on Choosing POIs. 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan, 2020.
  23. Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, and Hui Xiong. Personalized Employee Tranining Course Recommendation with Career Development Awareness. In Proceedings of the 27th World Wide Web Conference (WWW 2020), Taipei, 2020.
  24. Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, and Enhong Chen. Large-Scale Talent Flow Embedding for Company Competitive Analysis. In Proceedings of the 27th World Wide Web Conference (WWW 2020), Taipei, 2020.
  25. Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, and Hui Xiong. Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York City, USA, 2020.
  26. Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, and Hui Xiong. SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York City, USA, 2020.
  27. Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhiping Shi, Hui Xiong, and Qing He. Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York City, USA, 2020.
  28. Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan and Hui Xiong. Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. The 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Applied Data Science Track)
  29. Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang and Hui Xiong. DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. The 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Applied Data Science Track)
  30. Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong and Hui Xiong. Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network. The 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Applied Data Science Track)
  31. Pengyang Wang, Yanjie Fu, Xiaolin Li and Hui Xiong. Adversarial Substructured Representation Learning for Mobile User Profiling. The 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  32. Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang and Hui Xiong. A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction. The 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  33. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He and Hui Xiong. The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. The 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  34. Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong and Yuan Jiang. Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. The 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  35. Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang, Jin Xu, Xuehui Wu, Airong Jiang and Hui Xiong. A Collaborative Learning Framework to Tag Refinement for Points of Interest. The 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  36. Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv and Hui Xiong. Multiple Relational Attention Network for Multi-task Learning. The 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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), Orleans, LA, USA, 2018.
  46. Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric Xing and Jieping Ye. Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S.Sheng, Kai Zheng, and Hui Xiong. Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation. In Proceedings of 25th ACM International Conference on Multimedia (ACM MM17), Mountain View, CA, USA, 2017.
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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..
  60. 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.
  61. 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.
  62. 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..
  63. 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..
  64. 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.
  65. 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.
  66. 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.
  67. 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.
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