Travelled to:1 × Austria
1 × Canada
1 × China
1 × Cyprus
1 × France
1 × USA
2 × Ireland
2 × United Kingdom
Collaborated with:D.Zhou ∅ G.Burel C.Lin S.M.Rüger W.X.Zhao Y.Guo X.Li T.Huynh P.Mulholland H.Alani A.E.Cano A.Varga M.Rowe F.Ciravegna R.Yan H.Jiang Y.Wu Z.Wei W.Gao B.Li L.Zhou K.Wong C.Gurrin G.Kazai U.Kruschwitz S.Little T.Rölleke K.v.Rijsbergen
Talks about:sentiment (6) classif (3) analysi (3) model (3) learn (3) communiti (2) question (2) social (2) machin (2) featur (2)
Person: Yulan He
DBLP: He:Yulan
Facilitated 1 volumes:
EdContributed to:
2015
2015
20142013
2013
20112011201020102009Wrote 13 papers:
- ECIR-2015-HuynhHR #analysis #learning #sentiment #strict
- Learning Higher-Level Features with Convolutional Restricted Boltzmann Machines for Sentiment Analysis (TH, YH, SMR), pp. 447–452.
- HT-2015-BurelMHA #behaviour #community #online #predict
- Predicting Answering Behaviour in Online Question Answering Communities (GB, PM, YH, HA), pp. 201–210.
- KDD-2014-ZhaoGHJWL #microblog #recommendation #what
- We know what you want to buy: a demographic-based system for product recommendation on microblogs (WXZ, YG, YH, HJ, YW, XL), pp. 1935–1944.
- HT-2013-BurelH #community #complexity #maturity #online
- A question of complexity: measuring the maturity of online enquiry communities (GB, YH), pp. 1–10.
- HT-2013-CanoVRCH #classification #social #social media #topic
- Harnessing linked knowledge sources for topic classification in social media (AEC, AV, MR, FC, YH), pp. 41–50.
- HT-2013-WeiHGLZW #analysis #behaviour #case study #twitter
- Mainstream media behavior analysis on Twitter: a case study on UK general election (ZW, YH, WG, BL, LZ, KFW), pp. 174–178.
- SIGIR-2013-ZhaoGYHL #generative #social #timeline
- Timeline generation with social attention (WXZ, YG, RY, YH, XL), pp. 1061–1064.
- CIKM-2011-ZhouH #framework #markov #novel
- A novel framework of training hidden markov support vector machines from lightly-annotated data (DZ, YH), pp. 2025–2028.
- ECIR-2011-He #classification #sentiment
- Latent Sentiment Model for Weakly-Supervised Cross-Lingual Sentiment Classification (YH), pp. 214–225.
- ECIR-2011-ZhouH #comprehension #learning #natural language #random
- Learning Conditional Random Fields from Unaligned Data for Natural Language Understanding (DZ, YH), pp. 283–288.
- CIKM-2010-He #classification #learning #sentiment
- Learning sentiment classification model from labeled features (YH), pp. 1685–1688.
- ECIR-2010-GurrinHKKLRRR #information retrieval
- Recent Developments in Information Retrieval (CG, YH, GK, UK, SL, TR, SMR, KvR), pp. 1–9.
- CIKM-2009-LinH #analysis #sentiment #topic
- Joint sentiment/topic model for sentiment analysis (CL, YH), pp. 375–384.