Travelled to:1 × China
1 × Japan
2 × Canada
5 × USA
Collaborated with:P.Cui F.Wang M.Jiang W.Zhu M.Ou L.Sun Q.Yang L.Guo Y.Shen H.Luan G.Xu Y.Ma H.Zhang A.Beutel C.Faloutsos L.Liu J.Tang J.Han X.Xu H.Chen H.Tang Z.Wang Y.Xu S.Jin L.Yu J.Wang K.Zhang J.Li Y.Li W.Hu S.Liu R.Liu
Talks about:social (4) recommend (2) heterogen (2) influenc (2) behavior (2) predict (2) network (2) museum (2) level (2) event (2)
Person: Shiqiang Yang
DBLP: Yang:Shiqiang
Contributed to:
2015
201420132013
2012
2012
201120102002Wrote 12 papers:
- DUXU-DD-2015-GuoSYL #people
- Personal Museum — A New Museum that Focus on Emotional Relationship Between People and Belongings (LG, YS, SY, HBL), pp. 502–512.
- KDD-2014-JiangCBFY #behaviour #graph #named #scalability
- CatchSync: catching synchronized behavior in large directed graphs (MJ, PC, AB, CF, SY), pp. 941–950.
- KDD-2014-JiangCWXZY #analysis #behaviour #flexibility #multi #named
- FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery (MJ, PC, FW, XX, WZ, SY), pp. 1186–1195.
- HIMI-D-2013-ChenTWCXY #automation #generative #named #social #social media
- EventLens: An Automatic Magazine Generating System for Social Media (HC, HT, ZW, PC, YX, SY), pp. 177–186.
- KDD-2013-CuiJYWZY #approach #data-driven #network #predict
- Cascading outbreak prediction in networks: a data-driven approach (PC, SJ, LY, FW, WZ, SY), pp. 901–909.
- KDD-2013-OuCWWZY #scalability
- Comparing apples to oranges: a scalable solution with heterogeneous hashing (MO, PC, FW, JW, WZ, SY), pp. 230–238.
- CIKM-2012-JiangCLYWZY #recommendation #social
- Social contextual recommendation (MJ, PC, RL, QY, FW, WZ, SY), pp. 45–54.
- CIKM-2012-JiangCWYZY #multi #recommendation #relational #social
- Social recommendation across multiple relational domains (MJ, PC, FW, QY, WZ, SY), pp. 1422–1431.
- ICPR-2012-ZhangLLHSY
- Binary stereo matching (KZ, JL, YL, WH, LS, SY), pp. 356–359.
- SIGIR-2011-CuiWLOYS #predict #ranking #social #what
- Who should share what?: item-level social influence prediction for users and posts ranking (PC, FW, SL, MO, SY, LS), pp. 185–194.
- CIKM-2010-LiuTHJY #mining #network #topic
- Mining topic-level influence in heterogeneous networks (LL, JT, JH, MJ, SY), pp. 199–208.
- ICPR-v2-2002-XuMZY #recognition #using
- Motion Based Event Recognition Using HMM (GX, YFM, HZ, SY), pp. 831–834.