Travelled to:
1 × France
1 × Ireland
1 × Spain
2 × China
5 × USA
Collaborated with:
L.Si J.He R.D.Lawrence Q.Wang Y.Liu F.Wang J.Wang X.You Q.Chen P.S.Wang Y.Y.Tang D.Bošnački M.v.d.Brand L.Engelen C.Huizing R.Kuiper A.Wijs C.J.Newburn B.So Z.Liu M.D.McCool A.M.Ghuloum S.D.Toit Z.Wang Z.Du Y.Chen G.Wu P.Guo Z.Liu
Talks about:
learn (4) multipl (3) hash (3) instanc (2) search (2) multi (2) model (2) embed (2) larg (2) use (2)
Person: Dan Zhang
DBLP: Zhang:Dan
Contributed to:
Wrote 12 papers:
- AMT-2014-ZhangBBEHKW #code generation #concurrent #java #state machine #towards
- Towards Verified Java Code Generation from Concurrent State Machines (DZ, DB, MvdB, LE, CH, RK, AW), pp. 64–69.
- CIKM-2013-WangZS #performance #scalability #similarity
- Weighted hashing for fast large scale similarity search (QW, DZ, LS), pp. 1185–1188.
- ICML-c3-2013-ZhangHSL #learning #multi #named
- MILEAGE: Multiple Instance LEArning with Global Embedding (DZ, JH, LS, RDL), pp. 82–90.
- KDD-2013-ZhangHL #learning #multi #named
- MI2LS: multi-instance learning from multiple informationsources (DZ, JH, RDL), pp. 149–157.
- SIGIR-2013-WangZS #modelling #semantics #topic #using
- Semantic hashing using tags and topic modeling (QW, DZ, LS), pp. 213–222.
- CGO-2011-NewburnSLMGTWDCWGLZ #array #compilation #embedded
- Intel’s Array Building Blocks: A retargetable, dynamic compiler and embedded language (CJN, BS, ZL, MDM, AMG, SDT, ZGW, ZD, YC, GW, PG, ZL, DZ), pp. 224–235.
- KDD-2011-ZhangHLSL #approach #learning #multi #scalability
- Multi-view transfer learning with a large margin approach (DZ, JH, YL, LS, RDL), pp. 1208–1216.
- KDD-2011-ZhangLS #learning
- Serendipitous learning: learning beyond the predefined label space (DZ, YL, LS), pp. 1343–1351.
- SIGIR-2011-ZhangWS #multi
- Composite hashing with multiple information sources (DZ, FW, LS), pp. 225–234.
- SIGIR-2011-ZhangWS11a #clustering #documentation
- Document clustering with universum (DZ, JW, LS), pp. 873–882.
- SIGIR-2009-ZhangS #modelling
- Modeling search response time (DZ, LS), pp. 730–731.
- ICPR-v1-2006-YouZCWT #representation #using
- Face Representation By Using Non-tensor Product Wavelets (XY, DZ, QC, PSPW, YYT), pp. 503–506.