Travelled to:1 × Finland
1 × Japan
1 × South Korea
1 × Spain
2 × USA
Collaborated with:H.Huang D.Yu T.Hou M.Zhong H.Wang H.Zha S.Yoo S.Han X.Hou Q.Yang K.Kaznatcheev K.G.Yager F.Lu O.Gang A.Fluerasu
Talks about:diffus (3) unsupervis (2) dirichlet (2) cluster (2) anomali (2) analysi (2) featur (2) shape (2) local (2) graph (2)
Person: Hong Qin
DBLP: Qin:Hong
Contributed to:
20152014
2012
2012
20082007Wrote 7 papers:
- SAC-2015-HanHQY #clustering
- Locality-preserving L1-graph and its application in clustering (SH, HH, HQ, DY), pp. 813–818.
- SAC-2014-HuangYKYLYGFQ #analysis #clustering #self
- Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles (HH, SY, KK, KGY, FL, DY, OG, AF, HQ), pp. 85–90.
- CIKM-2012-HuangQYY #algorithm #detection #robust
- Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space (HH, HQ, SY, DY), pp. 405–414.
- ICPR-2012-HouHZQ #named #paradigm #retrieval
- Bag-of-feature-graphs: A new paradigm for non-rigid shape retrieval (TH, XH, MZ, HQ), pp. 1513–1516.
- ICPR-2012-HouZQ #higher-order
- Diffusion-driven high-order matching of partial deformable shapes (TH, MZ, HQ), pp. 137–140.
- ICML-2008-WangYQZ #analysis #component #composition #feature model
- Dirichlet component analysis: feature extraction for compositional data (HYW, QY, HQ, HZ), pp. 1128–1135.
- ICML-2007-WangZQ #learning #metric #towards
- Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data (HYW, HZ, HQ), pp. 959–966.