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Travelled to:
1 × Australia
1 × France
1 × Ireland
1 × Korea
1 × South Korea
3 × China
8 × USA
Collaborated with:
C.Faloutsos T.Eliassi-Rad L.Akoglu B.Gallagher L.Li W.Fan J.Sun X.Zhang P.Ji J.Ni J.Vreeken C.Lin Y.Yao F.Xu J.Lü K.Henderson L.Li X.Su K.Onuma Y.Koren B.A.Prakash N.Cao Y.Lin P.Sondhi C.Zhai H.Qu H.Jamjoom Y.Sakurai Y.Cai Q.He K.Zhang Y.Xiao H.Wang W.Wang M.Faloutsos D.H.Chau U.Kang J.He Z.Wen R.Konuru S.Papadimitriou P.S.Yu J.F.R.Jr. A.J.M.Traina J.Leskovec J.Zhang J.Tang C.Ma Y.Jing J.Li D.Surian N.Liu D.Lo E.Lim G.Yan B.K.Szymanski K.Maruhashi S.Basu D.Koutra
Talks about:
graph (15) mine (11) fast (9) larg (7) network (6) interact (4) visual (3) comprehens (2) viewpoint (2) recommend (2)

Person: Hanghang Tong

DBLP DBLP: Tong:Hanghang

Contributed to:

CHI 20152015
KDD 20152015
CIKM 20142014
KDD 20142014
CIKM 20122012
KDD 20122012
KDD 20112011
WCRE 20112011
KDD 20102010
CIKM 20092009
KDD 20092009
CIKM 20082008
KDD 20082008
KDD 20072007
KDD 20062006
VLDB 20062006

Wrote 29 papers:

CHI-2015-CaoLLT #graph #interactive #mining #multi #named #visual notation
g-Miner: Interactive Visual Group Mining on Multivariate Graphs (NC, YRL, LL, HT), pp. 279–288.
KDD-2015-CaiTFJH #higher-order #mining #named #performance
Facets: Fast Comprehensive Mining of Coevolving High-order Time Series (YC, HT, WF, PJ, QH), pp. 79–88.
KDD-2015-LiT
The Child is Father of the Man: Foresee the Success at the Early Stage (LL, HT), pp. 655–664.
KDD-2015-NiTFZ #clustering #flexibility #multi #robust
Flexible and Robust Multi-Network Clustering (JN, HT, WF, XZ), pp. 835–844.
KDD-2015-ZhangTMTJL #named #network #performance #scalability #similarity
Panther: Fast Top-k Similarity Search on Large Networks (JZ, JT, CM, HT, YJ, JL), pp. 1445–1454.
CIKM-2014-SuTJ #process #recognition #smarttech
Accelerometer-based Activity Recognition on Smartphone (XS, HT, PJ), pp. 2021–2023.
CIKM-2014-YaoTYXZSL #collaboration
Dual-Regularized One-Class Collaborative Filtering (YY, HT, GY, FX, XZ, BKS, JL), pp. 759–768.
CIKM-2014-ZhangXTW0 #clustering #framework #generative #named #platform #wiki
WiiCluster: a Platform for Wikipedia Infobox Generation (KZ, YX, HT, HW, WW), pp. 2033–2035.
KDD-2014-NiTFZ #network #ranking
Inside the atoms: ranking on a network of networks (JN, HT, WF, XZ), pp. 1356–1365.
KDD-2014-YaoTXL #predict
Predicting long-term impact of CQA posts: a comprehensive viewpoint (YY, HT, FX, JL), pp. 1496–1505.
CIKM-2012-AkogluTVF #category theory #detection #performance #reliability
Fast and reliable anomaly detection in categorical data (LA, HT, JV, CF), pp. 415–424.
CIKM-2012-TongPEFF #graph #scalability
Gelling, and melting, large graphs by edge manipulation (HT, BAP, TER, MF, CF), pp. 245–254.
KDD-2012-ChauAVTF #graph #interactive #named #scalability #visualisation
TourViz: interactive visualization of connection pathways in large graphs (DHC, LA, JV, HT, CF), pp. 1516–1519.
KDD-2012-HendersonGETBAKFL #graph #mining #named #scalability
RolX: structural role extraction & mining in large graphs (KH, BG, TER, HT, SB, LA, DK, CF, LL), pp. 1231–1239.
KDD-2012-SondhiSTZ #framework #graph #mining #named
SympGraph: a framework for mining clinical notes through symptom relation graphs (PS, JS, HT, CZ), pp. 1167–1175.
KDD-2011-HendersonGLAETF #graph #mining #recursion #using
It’s who you know: graph mining using recursive structural features (KH, BG, LL, LA, TER, HT, CF), pp. 663–671.
KDD-2011-KangTSLF #graph #named #scalability
GBASE: a scalable and general graph management system (UK, HT, JS, CYL, CF), pp. 1091–1099.
KDD-2011-TongHWKL #graph #optimisation #ranking #scalability
Diversified ranking on large graphs: an optimization viewpoint (HT, JH, ZW, RK, CYL), pp. 1028–1036.
WCRE-2011-SurianLLTLF #collaboration #developer #network #people #recommendation
Recommending People in Developers’ Collaboration Network (DS, NL, DL, HT, EPL, CF), pp. 379–388.
KDD-2010-HendersonEFALMPT #approach #forensics #graph #metric #mining #multi
Metric forensics: a multi-level approach for mining volatile graphs (KH, TER, CF, LA, LL, KM, BAP, HT), pp. 163–172.
CIKM-2009-TongQJF #graph #interactive #named #performance #proximity #query
iPoG: fast interactive proximity querying on graphs (HT, HQ, HJ, CF), pp. 1673–1676.
KDD-2009-OnumaTF #algorithm #named #novel #recommendation
TANGENT: a novel, “Surprise me”, recommendation algorithm (KO, HT, CF), pp. 657–666.
CIKM-2008-TongSEF #mining #performance
Fast mining of complex time-stamped events (HT, YS, TER, CF), pp. 759–768.
KDD-2008-GallagherTEF #classification #network #using
Using ghost edges for classification in sparsely labeled networks (BG, HT, TER, CF), pp. 256–264.
KDD-2008-TongPSYF #graph #mining #named #performance #scalability
Colibri: fast mining of large static and dynamic graphs (HT, SP, JS, PSY, CF), pp. 686–694.
KDD-2007-TongFGE #graph #pattern matching #performance #scalability
Fast best-effort pattern matching in large attributed graphs (HT, CF, BG, TER), pp. 737–746.
KDD-2007-TongFK #graph #mining #performance #proximity
Fast direction-aware proximity for graph mining (HT, CF, YK), pp. 747–756.
KDD-2006-TongF #performance #problem
Center-piece subgraphs: problem definition and fast solutions (HT, CF), pp. 404–413.
VLDB-2006-RodriguesTTFL #graph #interactive #mining #named #scalability #visualisation
GMine: A System for Scalable, Interactive Graph Visualization and Mining (JFRJ, HT, AJMT, CF, JL), pp. 1195–1198.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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