Travelled to:1 × Australia
1 × Belgium
1 × Denmark
1 × Israel
1 × Singapore
1 × Sweden
16 × USA
2 × Germany
3 × United Kingdom
4 × China
4 × France
5 × Canada
Collaborated with:I.Gorton L.Zhu M.T.Bahadori D.Cheng J.G.Carbonell N.Abe A.Niculescu-Mizil Y.Xu E.P.Xing H.Jin A.C.Lozano X.He Y.Liu D.Zhang J.He L.Si R.D.Lawrence S.Chawla Z.Liu S.Purushotham ∅ G.Salvendy N.B.Bui I.Kuz H.Li D.C.Kale M.Staples R.Yu X.Wu M.Chen J.Zheng L.Gui Q.R.Yu H.Pham C.Shahabi W.Zhou Q.Wang S.Phoomvuthisarn W.Gryc J.R.Kalagnanam O.Johnsen M.A.Babar A.Arnold A.M.Segre S.Wang J.D.Lafferty X.Zhu Y.Yang Y.Sun C.Yang C.Perlich Y.Fan L.Alawneh A.Hamou-Lhadj S.S.Murtaza Z.Li Q.Qi D.Zhu Y.Chen S.Jin Y.Lu S.Rosset L.Zheng S.Wang C.Lee X.Xu Y.Jin A.Tang J.Han J.Klein-Seetharaman V.Gopalakrishnan S.Chen A.Liu T.Rekatsinas J.R.Foulds L.Getoor Z.Che W.Li C.Lansing T.Elsethagen K.K.v.Dam T.K.Nguyen J.Sun J.S.Dong X.Liang L.Xu L.Bass C.Hoang S.Abanmi X.Lu Z.Tang L.Gao T.Wang Z.Wang P.Hseuh R.Lawrence S.Meliksetian A.Veen J.R.M.Hosking
Talks about:model (16) system (13) base (10) learn (9) architectur (7) predict (6) tempor (6) time (6) use (6) approach (5)
♂ Person: Yan Liu
DBLP: Liu:Yan
Facilitated 5 volumes:
PrCo
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2019Wrote 56 papers:
- ICML-2015-BahadoriKFL #clustering #functional
- Functional Subspace Clustering with Application to Time Series (MTB, DCK, YF, YL), pp. 228–237.
- ICML-2015-HeRFGL #modelling #named #network #topic
- HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades (XH, TR, JRF, LG, YL), pp. 871–880.
- ICML-2015-YuCL #learning #multi #online #rank
- Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams (RY, DC, YL), pp. 238–247.
- KDD-2015-CheKLBL
- Deep Computational Phenotyping (ZC, DCK, WL, MTB, YL), pp. 507–516.
- KDD-2015-LiuC #challenge #detection #social #social media
- Social Media Anomaly Detection: Challenges and Solutions (YL, SC), pp. 2317–2318.
- QoSA-2015-WuLG #architecture #modelling #performance
- Exploring Performance Models of Hadoop Applications on Cloud Architecture (XW, YL, IG), pp. 93–101.
- SEKE-2015-LiuL #architecture
- An Exploration of System Architecture on Integrating Building Management System in High-Rise Building (ZL, YL), pp. 342–345.
- SEKE-2015-LiuXC #learning #recommendation
- Context-aware Recommendation System with Anonymous User Profile Learning (YL, YX, MC), pp. 93–98.
- SEKE-2015-XuLZ #overview #visualisation
- To Enlighten Hidden Facts in The Code: A Review of Software Visualization Metaphors (YX, YL, JZ), pp. 294–297.
- CSMR-WCRE-2014-AlawnehHML #approach #communication #effectiveness
- A contextual approach for effective recovery of inter-process communication patterns from HPC traces (LA, AHL, SSM, YL), pp. 274–282.
- FM-2014-LiuGL #analysis #reliability
- MDP-Based Reliability Analysis of an Ambient Assisted Living System (YL, LG, YL), pp. 688–702.
- KDD-2014-ChengB0 #approach #dependence #effectiveness #named
- FBLG: a simple and effective approach for temporal dependence discovery from time series data (DC, MTB, YL), pp. 382–391.
- KDD-2014-ChengL #equivalence #parallel #process
- Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence (DC, YL), pp. 562–571.
- KDD-2014-YuH0 #analysis #detection #named #social #social media
- GLAD: group anomaly detection in social media analysis (QRY, XH, YL), pp. 372–381.
- CBSE-2013-GortonLLED #case study #component #experience #platform #using
- Build less code deliver more science: an experience report on composing scientific environments using component-based and commodity software platforms (IG, YL, CL, TE, KKvD), pp. 159–168.
- ICDAR-2013-LuTLGWW #image #segmentation #tablet
- Stroke-Based Character Segmentation of Low-Quality Images on Ancient Chinese Tablet (XL, ZT, YL, LG, TW, ZW), pp. 240–244.
- KDD-2013-BahadoriLX #learning #performance #probability #process
- Fast structure learning in generalized stochastic processes with latent factors (MTB, YL, EPX), pp. 284–292.
- SIGMOD-2013-PhamSL #named #social
- EBM: an entropy-based model to infer social strength from spatiotemporal data (HP, CS, YL), pp. 265–276.
- FM-2012-NguyenSLDL #analysis
- Improved BDD-Based Discrete Analysis of Timed Systems (TKN, JS, YL, JSD, YL), pp. 326–340.
- ICML-2012-LiuL #modelling #multi #named
- Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling (YL, MTB, HL), p. 156.
- ICML-2012-PurushothamL #collaboration #matrix #recommendation #social #topic
- Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems (SP, YL), p. 92.
- KDD-2012-ZhouJL #community #profiling #social
- Community discovery and profiling with social messages (WZ, HJ, YL), pp. 388–396.
- HIMI-v1-2011-Liu #multi #overview #visualisation
- Multivariate Data Visualization: A Review from the Perception Aspect (YL), pp. 221–230.
- ICEIS-v2-2011-LiQLZ #policy #research #simulation
- Research and Demonstration of Agricultural Policy Simulation based on CGE Model (ZL, QQ, YL, DZ), pp. 13–17.
- KDD-2011-LiuHLMPV #modelling #predict #quality #visual notation
- Latent graphical models for quantifying and predicting patent quality (YL, PyH, RL, SM, CP, AV), pp. 1145–1153.
- 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.
- SEKE-2011-LiuGCJ #architecture #design #distributed #grid #power management #realtime
- Designing a Distributed Systems Architecture Testbed for Real-Time Power Grid Systems (YL, IG, YC, SJ), pp. 268–271.
- CIKM-2010-WangJL #collaboration #mining #process
- Collaboration analytics: mining work patterns from collaboration activities (QW, HJ, YL), pp. 1861–1864.
- ECSA-2010-PhoomvuthisarnLZ #approach #architecture #distributed
- An Architectural Approach to Composing Reputation-Based Distributed Services (SP, YL, LZ), pp. 133–149.
- ICML-2010-LiuNLL #analysis #graph #learning #relational
- Learning Temporal Causal Graphs for Relational Time-Series Analysis (YL, ANM, ACL, YL), pp. 687–694.
- CIKM-2009-HeLL #graph #learning
- Graph-based transfer learning (JH, YL, RDL), pp. 937–946.
- ICML-2009-LiuNG #community #modelling #topic
- Topic-link LDA: joint models of topic and author community (YL, ANM, WG), pp. 665–672.
- KDD-2009-LiuKJ #graph #learning #monitoring
- Learning dynamic temporal graphs for oil-production equipment monitoring system (YL, JRK, OJ), pp. 1225–1234.
- KDD-2009-LozanoALR #modelling #visual notation
- Grouped graphical Granger modeling methods for temporal causal modeling (ACL, NA, YL, SR), pp. 577–586.
- KDD-2009-LozanoLNLPHA #modelling
- Spatial-temporal causal modeling for climate change attribution (ACL, HL, ANM, YL, CP, JRMH, NA), pp. 587–596.
- KDD-2009-ZhengWLL
- Information theoretic regularization for semi-supervised boosting (LZ, SW, YL, CHL), pp. 1017–1026.
- WICSA-ECSA-2009-LiuLXSZ #architecture #enterprise #integration #using
- Using architecture integration patterns to compose enterprise mashups (YL, XL, LX, MS, LZ), pp. 111–120.
- WICSA-ECSA-2009-XuZSL #architecture #distributed
- An architecting method for distributed process-intensive systems (XX, LZ, MS, YL), pp. 277–280.
- QoSA-2008-LiuBG #architecture #evaluation #middleware #self
- Middleware Architecture Evaluation for Dependable Self-managing Systems (YL, MAB, IG), pp. 189–204.
- CBSE-2007-LiuZG #assessment #case study #experience #performance
- Performance Assessment for e-Government Services: An Experience Report (YL, LZ, IG), pp. 74–89.
- HCI-IPT-2007-LiuS #classification #interactive #visual notation
- Interactive Visual Decision Tree Classification (YL, GS), pp. 92–105.
- ICSE-2007-JinTHL #evaluation #information management #legacy #performance #predict
- Performance Evaluation and Prediction for Legacy Information Systems (YJ, AT, JH, YL), pp. 540–549.
- ICSE-2007-ZhuLBG #capacity #modelling #named
- Revel8or: Model Driven Capacity Planning Tool Suite (LZ, YL, NBB, IG), pp. 797–800.
- KDD-2007-ArnoldLA #modelling #visual notation
- Temporal causal modeling with graphical granger methods (AA, YL, NA), pp. 66–75.
- QoSA-2007-KuzL #component #embedded #modelling
- Extending the Capabilities of Component Models for Embedded Systems (IK, YL), pp. 182–196.
- HPDC-2006-LiuSW #approach #combinator #throughput
- A High Throughput Approach to Combinatorial Search on Grids (YL, AMS, SW), pp. 351–352.
- QoSA-2006-LiuGBHA #architecture #middleware #named
- MEMS: A Method for Evaluating Middleware Architectures (YL, IG, LB, CH, SA), pp. 9–26.
- CBSE-2005-LiuG #performance #predict #protocol #using
- Performance Prediction of J2EE Applications Using Messaging Protocols (YL, IG), pp. 1–16.
- ICML-2005-LiuXC #graph #predict #using
- Predicting protein folds with structural repeats using a chain graph model (YL, EPX, JGC), pp. 513–520.
- WICSA-2005-ZhuLGB #benchmark #generative #metric #using
- Customized Benchmark Generation Using MDA (LZ, YL, IG, NBB), pp. 35–44.
- ICML-2004-LaffertyZL #clique #kernel #random #representation
- Kernel conditional random fields: representation and clique selection (JDL, XZ, YL).
- SIGIR-2004-LiuCKG #predict
- Context sensitive vocabulary and its application in protein secondary structure prediction (YL, JGC, JKS, VG), pp. 538–539.
- CBSE-2002-ChenGLL #component #enterprise #off the shelf #performance #predict
- Performance Prediction of COTS Component-based Enterprise Applications (SC, IG, AL, YL), p. 7.
- CIKM-2002-LiuYC #bias #classification #induction
- Boosting to correct inductive bias in text classification (YL, YY, JGC), pp. 348–355.
- CASE-2019-SunLY #detection #network #using
- Railway Joint Detection Using Deep Convolutional Neural Networks (YS, YL, CY), pp. 235–240.