Travelled to:
1 × Canada
1 × France
1 × Greece
1 × Hungary
1 × Portugal
1 × Switzerland
11 × USA
2 × Spain
3 × Australia
3 × China
Collaborated with:
X.Huang Y.Zou W.Wang Y.Wu S.A.Goldman Jiaqiao Hu Y.Zhou L.Liu K.Lee L.Wu J.Kang T.Li Z.Zhou A.M.So H.Li K.Lu B.Korel L.Tao A.Abdulkader J.A.Drakopoulos R.Chen J.Qian L.Zhang L.Li Z.Ding Y.Zhang H.Yu Y.Shi H.Yoshikawa H.Ishii H.Shimoda J.Li S.Xu B.Huang W.Yu J.E.Fritts R.A.Amar D.R.Dooly C.Pu H.Zheng D.Wang H.Li T.Yang X.Qian X.Jiang J.Liu L.McMillan J.Prins W.Zhong R.Jin C.Yang X.Yan Q.Li Y.Gong H.Chen Y.Zhou Y.Wu M.Ogihara J.Johnson T.Lei L.Xiong K.Chen X.Liu Y.Cao D.Liu S.Guo M.Chen S.Goldenberg S.Srinivas V.Ushakov Y.Wang E.Lin Y.Zach T.C.Lau T.Tong R.McKegney K.Kontogiannis I.Ivkovic P.Liew M.Hung
Talks about:
graph (6) base (5) effici (4) applic (4) model (4) use (4) detect (3) comput (3) order (3) optim (3)
Person: Qi Zhang
DBLP: Zhang:Qi
Contributed to:
Wrote 30 papers:
- HPDC-2015-ZhouLLPZ #abstraction #graph #parallel #performance
- Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions (YZ, LL, KL, CP, QZ), pp. 179–190.
- ICML-2015-ZhouZS #analysis #bound #convergence #fault #first-order
- ℓ₁,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods (ZZ, QZ, AMCS), pp. 1501–1510.
- KDD-2015-ZhongJYYZL #recommendation
- Stock Constrained Recommendation in Tmall (WZ, RJ, CY, XY, QZ, QL), pp. 2287–2296.
- SAC-2015-LiZL #mobile #network #personalisation #social
- Integrating mobile sensing and social network for personalized health-care application (HL, QZ, KL), pp. 527–534.
- VLDB-2015-ZhouLLZ #graph #named #optimisation #performance
- GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations (YZ, LL, KL, QZ), pp. 1262–1273.
- DUXU-DI-2014-LeiXCLCZLG #gesture #human-computer #mobile #named
- Gestures: The Reformer of the User’s Mental Model in Mobile HCI (TL, LX, KC, XL, YC, QZ, DL, SG), pp. 586–597.
- SIGIR-2014-ZhangKQH #detection #semantics #word
- Continuous word embeddings for detecting local text reuses at the semantic level (QZ, JK, JQ, XH), pp. 797–806.
- SIGIR-2014-ZhangLLZ #evolution #graph #multi #named
- PatentLine: analyzing technology evolution on multi-view patent graphs (LZ, LL, TL, QZ), pp. 1095–1098.
- CIKM-2013-ZhangKGCZH #graph
- Map search via a factor graph model (QZ, JK, YG, HC, YZ, XH), pp. 69–78.
- CIKM-2012-ZhangWH #integer #linear #programming #set
- Selecting expansion terms as a set via integer linear programming (QZ, YW, XH), pp. 2399–2402.
- SIGIR-2012-ZhangWDH #detection #learning #performance #reuse
- Learning hash codes for efficient content reuse detection (QZ, YW, ZD, XH), pp. 405–414.
- RecSys-2010-ZhengWZLY #case study #empirical #recommendation #user study
- Do clicks measure recommendation relevancy?: an empirical user study (HZ, DW, QZ, HL, TY), pp. 249–252.
- SIGIR-2010-ZhangZYH #detection #performance #sequence
- Efficient partial-duplicate detection based on sequence matching (QZ, YZ, HY, XH), pp. 675–682.
- ICML-2009-QianJZHW #higher-order #random #sequence
- Sparse higher order conditional random fields for improved sequence labeling (XQ, XJ, QZ, XH, LW), pp. 849–856.
- ICST-2009-KorelZT #source code #validation
- Assertion-Based Validation of Modified Programs (BK, QZ, LT), pp. 426–435.
- SIGIR-2009-ZhangSHW #independence #web
- Template-independent wrapper for web forums (QZ, YS, XH, LW), pp. 794–795.
- SIGIR-2009-ZhangWLOJH #dependence #mining #parsing
- Mining product reviews based on shallow dependency parsing (QZ, YW, TL, MO, JJ, XH), pp. 726–727.
- CIKM-2007-ZhangW #algorithm #approximate #data type #performance
- An efficient algorithm for approximate biased quantile computation in data streams (QZ, WW), pp. 1023–1026.
- HIMI-IIE-2007-ZhangYIS #analysis #case study #development #energy
- A Study on Analysis Support System of Energy and Environmental System for Sustainable Development Based on MFM and GIS (QZ, HY, HI, HS), pp. 1148–1157.
- CGO-2006-ChenGSUWZLZ #execution #framework #java
- Java JNI Bridge: A Framework for Mixed Native ISA Execution (MC, SG, SS, VU, YW, QZ, EL, YZ), pp. 65–75.
- CGO-2006-LiZXH #optimisation
- Optimizing Dynamic Binary Translation for SIMD Instructions (JL, QZ, SX, BH), pp. 269–280.
- ICPR-v3-2006-AbdulkaderDZ #classification #comparative
- Comparative Classifier Aggregation (AA, JAD, QZ), pp. 156–159.
- ICSE-2006-ZouZ #automation #e-commerce #evolution #framework #generative #process #using
- A framework for automatic generation of evolvable e-commerce workplaces using business processes (YZ, QZ), pp. 799–802.
- ICSM-2006-ZhangCZ #e-commerce #process #re-engineering #user interface #using
- Reengineering User Interfaces of E-Commerce Applications Using Business Processes (QZ, RC, YZ), pp. 428–437.
- KDD-2006-LiuZWMP #clustering #difference #order #set
- Clustering pair-wise dissimilarity data into partially ordered sets (JL, QZ, WW, LM, JP), pp. 637–642.
- ICSM-2005-ZhangZ #configuration management #evolution #maintenance #self #using
- Using Self-Reconfigurable Workplaces to Automate the Maintenance of Evolving Business Applications (QZ, YZ), pp. 219–229.
- ICSM-2004-LauTMKILZZH #maintenance #performance
- Model Synchronization for Efficient Software Application Maintenance (TCL, TT, RM, KK, II, PL, YZ, QZ, MH), p. 499.
- ICML-2002-ZhangGYF #image #learning #multi #retrieval #using
- Content-Based Image Retrieval Using Multiple-Instance Learning (QZ, SAG, WY, JEF), pp. 682–689.
- ICML-2001-AmarDGZ #learning #multi
- Multiple-Instance Learning of Real-Valued Data (RAA, DRD, SAG, QZ), pp. 3–10.
- CASE-2019-ZhangH #modelling #optimisation #random
- Enhancing Random Search with Surrogate Models for Lipschitz Continuous Optimization (QZ, JH), pp. 768–773.