Travelled to:1 × Australia
1 × Portugal
3 × China
4 × USA
Collaborated with:S.Liu Q.Yang C.Zhang H.Wang S.Pan M.X.Zhou W.Qian B.Tan E.Zhong W.Chen S.Wang Z.Lu C.W.Leung X.Wang B.Guo X.Liu J.Zhang S.Chen F.Wang Y.Wei Y.Zhen B.Liu B.Zhang W.J.Yin J.Dong C.Wang A.El-Kishky D.Roth M.Zhang J.Han F.Wei L.Shi L.Tan Q.Zhang
Talks about:rank (3) evolutionari (2) heterogen (2) transfer (2) supervis (2) keyword (2) topic (2) queri (2) learn (2) text (2)
Person: Yangqiu Song
DBLP: Song:Yangqiu
Contributed to:
2015
20142014201320122010200920082007Wrote 12 papers:
- KDD-2015-TanSZ0 #learning #transitive
- Transitive Transfer Learning (BT, YS, EZ, QY), pp. 1155–1164.
- KDD-2015-WangSERZH #clustering #documentation #network
- Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks (CW, YS, AEK, DR, MZ, JH), pp. 1215–1224.
- CIKM-2014-SongWCW #comprehension #query
- Transfer Understanding from Head Queries to Tail Queries (YS, HW, WC, SW), pp. 1299–1308.
- KDD-2014-WeiSZL0 #scalability
- Scalable heterogeneous translated hashing (YW, YS, YZ, BL, QY), pp. 791–800.
- KDD-2013-SongLLY #classification #collaboration #microblog #process
- Collaborative boosting for activity classification in microblogs (YS, ZL, CWkL, QY), pp. 482–490.
- KDD-2013-WangLSG #mining #multi
- Mining evolutionary multi-branch trees from text streams (XW, SL, YS, BG), pp. 722–730.
- KDD-2012-LiuSLW #automation #keyword #taxonomy
- Automatic taxonomy construction from keywords (XL, YS, SL, HW), pp. 1433–1441.
- KDD-2010-WeiLSPZQSTZ #named #visual notation
- TIARA: a visual exploratory text analytic system (FW, SL, YS, SP, MXZ, WQ, LS, LT, QZ), pp. 153–162.
- KDD-2010-ZhangSZL #corpus #correlation #multi #process
- Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora (JZ, YS, CZ, SL), pp. 1079–1088.
- CIKM-2009-SongPLZQ #keyword #modelling #ranking #topic
- Topic and keyword re-ranking for LDA-based topic modeling (YS, SP, SL, MXZ, WQ), pp. 1757–1760.
- CIKM-2008-ChenWSZ #ranking
- Semi-supervised ranking aggregation (SC, FW, YS, CZ), pp. 1427–1428.
- CIKM-2007-SongZYZD #distance #estimation #learning #metric #ranking
- Ranking with semi-supervised distance metric learning and its application to housing potential estimation (YS, BZ, WJY, CZ, JD), pp. 975–978.