@inproceedings{conf/mva/HaraZH00,
	title = {Surface Evolution Based on Wave Propagation and Its Application to Topology-Adaptive 3D Modeling.},
	author = {Kenji Hara and Hongbin Zha and Tsutomu Hasegawa},
	booktitle = {MVA},
	crossref = {conf/mva/2000},
	pages = {87-90},
	url = {http://dblp.uni-trier.de/db/conf/mva/mva2000.html#HaraZH00},
	year = {2000},
	biburl = {http://www.bibsonomy.org/bibtex/27386aa3c7aad6b2dfb8ae665b2c94ead/dblp},
	description = {dblp},
	ee = {http://b2.cvl.iis.u-tokyo.ac.jp/mva/proceedings/CommemorativeDVD/2000/papers/2000087.pdf}, isbn = {4-901122-00-2}, date = {2008-06-30},
	keywords = {dblp }
}

@inproceedings{conf/mva/XinZ07,
	title = {A 3D Shape Descriptor Based on Hadamard Transform and Spherical Harmonic Transform.},
	author = {Guyu Xin and Hongbin Zha},
	booktitle = {MVA},
	crossref = {conf/mva/2007},
	pages = {396-399},
	url = {http://dblp.uni-trier.de/db/conf/mva/mva2007.html#XinZ07},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/24bd43f326b341592e5e5ae8fdd34174f/dblp},
	description = {dblp},
	ee = {http://b2.cvl.iis.u-tokyo.ac.jp/mva/proceedings/2007CD/papers/10-06.pdf}, isbn = {978-4-901122-07-8}, date = {2008-06-30},
	keywords = {dblp }
}

@inproceedings{conf/icip/YingZ07,
	title = {An Efficient Method for the Detection of Projected Concentric Circles.},
	author = {Xianghua Ying and Hongbin Zha},
	booktitle = {ICIP (6)},
	crossref = {conf/icip/2007},
	pages = {560-563},
	publisher = {IEEE},
	url = {http://dblp.uni-trier.de/db/conf/icip/icip2007-6.html#YingZ07},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2c2e4149c668d1c9edc8242d4f154f43a/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1109/ICIP.2007.4379646}, date = {2008-06-27},
	keywords = {dblp }
}

@inproceedings{conf/icip/LiuZYZS07,
	title = {Collaborative Mean Shift Tracking Based on Multi-Cue Integration and Auxiliary Objects.},
	author = {Hong Liu and Lin Zhang and Ze Yu and Hongbin Zha and Ying Shi},
	booktitle = {ICIP (3)},
	crossref = {conf/icip/2007},
	pages = {217-220},
	publisher = {IEEE},
	url = {http://dblp.uni-trier.de/db/conf/icip/icip2007-3.html#LiuZYZS07},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/29bf34021bd69f1840164efeaabb1209d/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1109/ICIP.2007.4379285}, date = {2008-06-25},
	keywords = {dblp }
}

@inproceedings{citeulike:1542210,
	title = {A regression framework for learning ranking functions using relative relevance judgments},
	address = {New York, NY, USA},
	author = {Zhaohui Zheng and Keke Chen and Gordon Sun and Hongyuan Zha},
	booktitle = {SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval},
	pages = {287--294},
	publisher = {ACM Press},
	url = {http://portal.acm.org/citation.cfm?id=1277741.1277792},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/22c95e8c38b1069060872530845582463/pprett},
	posted-at = {2007-10-24 13:20:47}, citeulike-article-id = {1542210}, priority = {2}, isbn = {9781595935977}, comment = {Distinquish between absolut and relative relevance judgements whether the document is relevant at all and whether one particular document is more relevant to a query than another one, resp.

Problem stmt: 
Given feature vectors for two query-document pairs x and y. A relative judgement indicates that e.g. x>y - x should be ranked higher than y.

The features of the examples can be partitioned into three categories: 
Query feature: Query length, language,...
Document feature: PR,inlinks,amount of anchor text,...
Query-Document features: term co-ocurrence, cosine-sim,...}, doi = {10.1145/1277741.1277792},
	keywords = {feedback, information, judgements, learning, machine, ranking, relevance, retrieval }
}

@inproceedings{conf/sma/JiaoZ08,
	title = {Consistent computation of first- and second-order differential quantities for surface meshes.},
	author = {Xiangmin Jiao and Hongyuan Zha},
	booktitle = {Symposium on Solid and Physical Modeling},
	crossref = {conf/sma/2008},
	editor = {Eric Haines and Morgan McGuire},
	pages = {159-170},
	publisher = {ACM},
	url = {http://dblp.uni-trier.de/db/conf/sma/spm2008.html#JiaoZ08},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2698e8968904e1785f6671f6bffd2fa64/dblp},
	description = {dblp},
	ee = {http://doi.acm.org/10.1145/1364901.1364924}, date = {2008-06-16},
	keywords = {dblp }
}

@article{journals/pami/LinZ08,
	title = {Riemannian Manifold Learning.},
	author = {Tong Lin and Hongbin Zha},
	journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
	number = {5},
	pages = {796-809},
	url = {http://dblp.uni-trier.de/db/journals/pami/pami30.html#LinZ08},
	volume = {30},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2b02f09ca465a531d26e588a0828871c7/dblp},
	description = {dblp},
	ee = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.70735}, date = {2008-06-04},
	keywords = {dblp }
}

@inproceedings{conf/IEEEcit/ZhangLZ07,
	title = {Semantic Web Based Simulation Service Customization and Composition.},
	author = {Tong Zhang and Yunsheng Liu and Yabing Zha},
	booktitle = {CIT},
	crossref = {conf/IEEEcit/2007},
	pages = {235-240},
	publisher = {IEEE Computer Society},
	url = {http://dblp.uni-trier.de/db/conf/IEEEcit/IEEEcit2007.html#ZhangLZ07},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/21d9302d49414825276e938dc394372e4/dblp},
	description = {dblp},
	ee = {http://doi.ieeecomputersociety.org/10.1109/CIT.2007.160}, isbn = {978-0-7695-2983-7}, date = {2008-05-23},
	keywords = {dblp }
}

@inproceedings{zhou2008social,
	title = {Exploring Social Annotations for Information Retrieval},
	address = {Beijing, Peking},
	author = {Ding Zhou and Jiang Bian and Shuyi Zheng and Giles Lee and Hongyuan Zha},
	booktitle = {Proceedings of the 17th International World Wide Web Conference},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/252c7a6a81d20a8adf3e942d7b1fefc25/beate},
	keywords = {annotation folksonomy ir social-search web2.0 }
}

@article{Zhang2004a,
	title = {Correlating summarization of multi-source news with k-way graph bi-clustering},
	author = {Ya Zhang and Chao-Hsien Chu and Xiang Ji and Hongyuan Zha},
	journal = {ACM SIGKDD Explorations Newsletter},
	number = {2},
	pages = {34--42},
	url = {http://portal.acm.org/citation.cfm?doid=1046456.1046461},
	volume = {6},
	year = {2004},
	biburl = {http://www.bibsonomy.org/bibtex/25386e8246d90aecb5b1070322a5b0124/marcoalvarez},
	abstract = {With the emergence of enormous amount of online news, it is desirable
	to construct text mining methods that can extract, compare and highlight
	similarities of them. In this paper, we explore the research issue
	and methodology of correlated summarization for a pair of news articles.
	The algorithm aligns the (sub)topics of the two news articles and
	summarizes their correlation by sentence extraction. A pair of news
	articles are modelled with a weighted bipartite graph. A mutual reinforcement
	principle is applied to identify a dense subgraph of the weighted
	bipartite graph. Sentences corresponding to the subgraph are correlated
	well in textual content and convey the dominant shared topic of the
	pair of news articles. As a further enhancement for lengthy articles,
	a k-way bi-clustering algorithm can first be used to partition the
	bipartite graph into several clusters, each containing sentences
	from the two news reports. These clusters correspond to shared subtopics,
	and the above mutual reinforcement principle can then be applied
	to extract topic sentences within each subtopic group.},
	keywords = {Clustering News }
}