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ORCIDBin Gao 0001
Person information
- affiliation: Microsoft Research Asia, Beijing, China
Other persons with the same name
- Bin Gao — disambiguation page
- Bin Gao 0002
![[0000-0003-1092-7785]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1092-7785")
— AlbaNova University Center, Department of Theoretical Chemistry, Stockholm, Sweden - Bin Gao 0003 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu (and 1 more)
- Bin Gao 0004 — Huaiyin Institute of Technology, Faculty of Computer and Software Engineering, Huaian, China (and 2 more)
- Bin Gao 0005 — Beijing University of Technology, School of Life Science and BioEngineering, China
- Bin Gao 0006 — Tsinghua University, Institute of Microelectronics, Beijing, China (and 1 more)
- Bin Gao 0007 — Academy of Mathematics and Systems Science, Beijing, China (and 2 more)
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Journal Articles
- 2016
[j9]Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu:
Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph. J. Comput. Sci. Technol. 31(3): 624-634 (2016)- [j8]Wei Wei, Bin Gao, Tie-Yan Liu, Taifeng Wang, Guohui Li, Hang Li:
A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information. IEEE Trans. Cybern. 46(4): 930-944 (2016) - 2015
- [j7]Qing Cui, Feng-Shan Bai, Bin Gao, Tie-Yan Liu:
Global Optimization for Advertisement Selection in Sponsored Search. J. Comput. Sci. Technol. 30(2): 295-310 (2015) - [j6]Qing Cui, Bin Gao, Jiang Bian, Siyu Qiu, Hanjun Dai, Tie-Yan Liu:
KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge. ACM Trans. Inf. Syst. 34(1): 4:1-4:25 (2015) - 2014
- [j5]Ying Zhang, Weinan Zhang, Bin Gao, Xiaojie Yuan, Tie-Yan Liu:
Bid keyword suggestion in sponsored search based on competitiveness and relevance. Inf. Process. Manag. 50(4): 508-523 (2014) - 2011
- [j4]Bin Gao, Tie-Yan Liu, Yuting Liu, Taifeng Wang, Zhiming Ma, Hang Li:
Page importance computation based on Markov processes. Inf. Retr. 14(5): 488-514 (2011) - 2010
- [j3]Yuting Liu, Tie-Yan Liu, Bin Gao, Zhiming Ma, Hang Li:
A framework to compute page importance based on user behaviors. Inf. Retr. 13(1): 22-45 (2010) - 2005
- [j2]Jinwen Ma, Bin Gao, Yang Wang, QianSheng Cheng:
Conjugate and natural gradient rules for BYY harmony learning on Gaussian mixture with automated model selection. Int. J. Pattern Recognit. Artif. Intell. 19(5): 701-713 (2005) - [j1]Bin Gao, Tie-Yan Liu, Guang Feng, Tao Qin, QianSheng Cheng, Wei-Ying Ma:
Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Copartitioning. IEEE Trans. Knowl. Data Eng. 17(9): 1263-1273 (2005)
Conference and Workshop Papers
- 2018
- [c33]Mu-Chu Lee, Bin Gao, Ruofei Zhang:
Rare Query Expansion Through Generative Adversarial Networks in Search Advertising. KDD 2018: 500-508 - [c32]Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang:
RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization. KDD 2018: 941-950 - 2016
- [c31]Huazheng Wang, Fei Tian, Bin Gao, Chengjieren Zhu, Jiang Bian, Tie-Yan Liu:
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding. EMNLP 2016: 541-550 - 2015
- [c30]Bin Gao, Jiang Bian:
DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining. WSDM 2015: 421-422 - 2014
- [c29]Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu:
Learning Deep Representations for Graph Clustering. AAAI 2014: 1293-1299 - [c28]Chang Xu, Yalong Bai, Jiang Bian, Bin Gao, Gang Wang, Xiaoguang Liu, Tie-Yan Liu:
RC-NET: A General Framework for Incorporating Knowledge into Word Representations. CIKM 2014: 1219-1228 - [c27]Siyu Qiu, Qing Cui, Jiang Bian, Bin Gao, Tie-Yan Liu:
Co-learning of Word Representations and Morpheme Representations. COLING 2014: 141-150 - [c26]Fei Tian, Hanjun Dai, Jiang Bian, Bin Gao, Rui Zhang, Enhong Chen, Tie-Yan Liu:
A Probabilistic Model for Learning Multi-Prototype Word Embeddings. COLING 2014: 151-160 - [c25]Jiang Bian, Bin Gao, Tie-Yan Liu:
Knowledge-Powered Deep Learning for Word Embedding. ECML/PKDD (1) 2014: 132-148 - 2013
- [c24]Kai Hui, Bin Gao, Ben He, Tiejian Luo:
Sponsored Search Ad Selection by Keyword Structure Analysis. ECIR 2013: 230-241 - [c23]Bin Gao, Jun Yan, Dou Shen, Tie-Yan Liu:
Internet advertising: theory and practice. SIGIR 2013: 1135 - [c22]Haifeng Xu, Bin Gao, Diyi Yang, Tie-Yan Liu:
Predicting advertiser bidding behaviors in sponsored search by rationality modeling. WWW 2013: 1433-1444 - 2012
- [c21]Changhao Jiang, Min Zhang, Bin Gao, Tie-Yan Liu:
A Study on Potential Head Advertisers in Sponsored Search. AIRS 2012: 174-186 - [c20]Weinan Zhang, Ying Zhang, Bin Gao, Yong Yu, Xiaojie Yuan, Tie-Yan Liu:
Joint optimization of bid and budget allocation in sponsored search. KDD 2012: 1177-1185 - [c19]Bin Gao, Taifeng Wang, Tie-Yan Liu:
Large-scale graph mining and learning for information retrieval. SIGIR 2012: 1194-1195 - 2011
- [c18]Jian Tang, Ning Liu, Jun Yan, Yelong Shen, Shaodan Guo, Bin Gao, Shuicheng Yan, Ming Zhang:
Learning to rank audience for behavioral targeting in display ads. CIKM 2011: 605-610 - [c17]Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li:
Semi-supervised ranking on very large graphs with rich metadata. KDD 2011: 96-104 - [c16]Zhicong Cheng, Bin Gao, Congkai Sun, Yanbing Jiang, Tie-Yan Liu:
Let web spammers expose themselves. WSDM 2011: 525-534 - [c15]Bin Gao, Taifeng Wang, Tie-Yan Liu:
Ranking on large-scale graphs with rich metadata. WWW (Companion Volume) 2011: 285-286 - 2010
- [c14]Zhicong Cheng, Bin Gao, Tie-Yan Liu:
Actively predicting diverse search intent from user browsing behaviors. WWW 2010: 221-230 - 2009
- [c13]Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li:
A general markov framework for page importance computation. CIKM 2009: 1835-1838 - 2008
- [c12]Congkai Sun, Bin Gao, Zhenfu Cao, Hang Li:
HTM: A Topic Model for Hypertexts. EMNLP 2008: 514-522 - [c11]Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, Hang Li:
BrowseRank: letting web users vote for page importance. SIGIR 2008: 451-458 - 2007
- [c10]Lei Yang, Lei Qi, Yan-Ping Zhao, Bin Gao, Tie-Yan Liu:
Link analysis using time series of web graphs. CIKM 2007: 1011-1014 - 2006
- [c9]Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Ying Ma:
Fast Spectral Clustering of Data Using Sequential Matrix Compression. ECML 2006: 590-597 - [c8]Bin Gao, Tie-Yan Liu, Wei-Ying Ma:
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory. ICDM 2006: 880-884 - [c7]Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Shiji Song, Hang Li:
Detecting Link Spam Using Temporal Information. ICDM 2006: 1049-1053 - 2005
- [c6]Guang Feng, Tie-Yan Liu, Xu-Dong Zhang, Tao Qin, Bin Gao, Wei-Ying Ma:
Level-Based Link Analysis. APWeb 2005: 183-194 - [c5]Bin Gao, Tie-Yan Liu, Xin Zheng, QianSheng Cheng, Wei-Ying Ma:
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering. KDD 2005: 41-50 - [c4]Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, QianSheng Cheng, Wei-Ying Ma:
Web image clustering by consistent utilization of visual features and surrounding texts. ACM Multimedia 2005: 112-121 - [c3]Tie-Yan Liu, Yiming Yang, Hao Wan, Qian Zhou, Bin Gao, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma:
An experimental study on large-scale web categorization. WWW (Special interest tracks and posters) 2005: 1106-1107 - 2004
- [c2]Jinwen Ma, Bin Gao, Yang Wang, QianSheng Cheng:
Two Further Gradient BYY Learning Rules for Gaussian Mixture with Automated Model Selection. IDEAL 2004: 690-695 - [c1]Bin Gao, Tie-Yan Liu, QianSheng Cheng, Wei-Ying Ma:
A Linear Approximation Based Method for Noise-Robust and Illumination-Invariant Image Change Detection. PCM (3) 2004: 95-102
Editorship
- 2013
- [e1]Esin Saka, Dou Shen, Bin Gao, Jun Yan, Ying Li:
Proceedings of the Seventh International Workshop on Data Mining for Online Advertising, ADKDD '13, Chicago, Illinois, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2323-9 [contents]
Informal and Other Publications
- 2016
- [i5]Fei Tian, Bin Gao, Di He, Tie-Yan Liu:
Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves. CoRR abs/1604.02038 (2016) - 2015
- [i4]Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu:
Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph. CoRR abs/1505.04891 (2015) - [i3]Huazheng Wang, Bin Gao, Jiang Bian, Fei Tian, Tie-Yan Liu:
Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding. CoRR abs/1505.07909 (2015) - 2014
- [i2]Bin Gao, Jiang Bian, Tie-Yan Liu:
WordRep: A Benchmark for Research on Learning Word Representations. CoRR abs/1407.1640 (2014) - [i1]Qing Cui, Bin Gao, Jiang Bian, Siyu Qiu, Tie-Yan Liu:
Learning Effective Word Embedding using Morphological Word Similarity. CoRR abs/1407.1687 (2014)
Coauthor Index
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