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Travelled to:
1 × Canada
1 × Finland
1 × France
1 × Germany
1 × Israel
1 × Turkey
11 × USA
2 × China
2 × The Netherlands
3 × United Kingdom
Collaborated with:
D.Lee C.Jung O.Shamir P.Zhao P.Li S.Shalev-Shwartz L.Xiao K.Yu R.K.Ando G.Nagy L.Zhang B.Yu Y.Chen X.Wang W.Xu N.Srebro P.Sun J.Zhou X.Yuan J.Huang D.N.Metaxas J.Langford R.Salakhutdinov P.M.Joshi C.B.Atkins A.Popescul B.Dom J.Bi K.P.Bennett Y.Pan V.S.Iyengar C.Apté J.Yang M.Li Y.Chen A.J.Smola Y.Pan G.Dong Q.Wu D.Wen C.Fang X.Ding F.Damerau S.M.Weiss N.Indurkhya C.Cheng F.Xia I.King M.R.Lyu K.Zhao K.S.Venkataraman X.Zhang J.Li N.Zheng H.Li W.Zhu A.Z.Broder M.Fontoura E.Gabrilovich A.Joshi V.Josifovski Geng Liu Bing Han Z.Wang Pingping Wei
Talks about:
use (8) memori (6) optim (6) learn (6) stochast (5) gradient (4) regular (4) method (4) boost (4) race (4)

Person: Tong Zhang

DBLP DBLP: Zhang:Tong

Contributed to:

ICML 20152015
HPCA 20142014
ICML c1 20142014
ICML c2 20142014
KDD 20142014
RecSys 20142014
ICML c1 20132013
HPCA 20122012
ICML 20122012
DATE 20102010
ICML 20102010
ICPR 20102010
DAC 20092009
ICML 20092009
ICML 20072007
SIGIR 20072007
DocEng 20062006
KDD 20062006
ICPR v2 20042004
KDD 20042004
SIGIR 20042004
ICML 20032003
SIGIR 20022002
KDD 20002000
ASPLOS 20162016
ASPLOS 20172017
ASPLOS 20192019
CASE 20192019

Wrote 32 papers:

ICML-2015-ZhaoYZL #adaptation #multi #probability
Adaptive Stochastic Alternating Direction Method of Multipliers (PZ, JY, TZ, PL), pp. 69–77.
ICML-2015-ZhaoZ #optimisation #probability
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization (PZ, TZ), pp. 1–9.
HPCA-2014-ZhaoVZLZ0 #memory management #specification
Over-clocked SSD: Safely running beyond flash memory chip I/O clock specs (KZ, KSV, XZ, JL, NZ, TZ), pp. 536–545.
ICML-c1-2014-Shalev-Shwartz0 #coordination #probability
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization (SSS, TZ), pp. 64–72.
ICML-c2-2014-ShamirS0 #approximate #distributed #optimisation #using
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method (OS, NS, TZ), pp. 1000–1008.
ICML-c2-2014-SunZZ #analysis #convergence
A Convergence Rate Analysis for LogitBoost, MART and Their Variant (PS, TZ, JZ), pp. 1251–1259.
ICML-c2-2014-YuanLZ #optimisation
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization (XY, PL, TZ), pp. 127–135.
KDD-2014-LiZCS #optimisation #performance #probability
Efficient mini-batch training for stochastic optimization (ML, TZ, YC, AJS), pp. 661–670.
RecSys-2014-ChengXZKL
Gradient boosting factorization machines (CC, FX, TZ, IK, MRL), pp. 265–272.
ICML-c1-2013-Shamir0 #convergence #optimisation #probability
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes (OS, TZ), pp. 71–79.
HPCA-2012-PanDWZ #enterprise #memory management #performance
Quasi-nonvolatile SSD: Trading flash memory nonvolatility to improve storage system performance for enterprise applications (YP, GD, QW, TZ), pp. 179–188.
ICML-2012-XiaoZ #problem
A Proximal-Gradient Homotopy Method for the L1-Regularized Least-Squares Problem (LX, TZ), p. 160.
DATE-2010-ChenLWZXZ #memory management #random #self
A nondestructive self-reference scheme for Spin-Transfer Torque Random Access Memory (STT-RAM) (YC, HL, XW, WZ, WX, TZ), pp. 148–153.
ICML-2010-YuZ #coordination #using
Improved Local Coordinate Coding using Local Tangents (KY, TZ), pp. 1215–1222.
ICPR-2010-WenFDZ #development #recognition
Development of Recognition Engine for Baby Faces (DW, CF, XD, TZ), pp. 3408–3411.
DAC-2009-XuCWZ
Improving STT MRAM storage density through smaller-than-worst-case transistor sizing (WX, YC, XW, TZ), pp. 87–90.
ICML-2009-HuangZM #learning
Learning with structured sparsity (JH, TZ, DNM), pp. 417–424.
ICML-2009-LangfordSZ #learning #modelling
Learning nonlinear dynamic models (JL, RS, TZ), pp. 593–600.
ICML-2007-AndoZ #generative #learning
Two-view feature generation model for semi-supervised learning (RKA, TZ), pp. 25–32.
SIGIR-2007-BroderFGJJZ #classification #query #robust #using #web
Robust classification of rare queries using web knowledge (AZB, MF, EG, AJ, VJ, TZ), pp. 231–238.
DocEng-2006-JoshiAZ #automation #video #workflow
From video to photo albums: digital publishing workflow for automatic album creation (PMJ, CBA, TZ), pp. 179–181.
KDD-2006-ZhangPD #categorisation #graph #linear #modelling #predict
Linear prediction models with graph regularization for web-page categorization (TZ, AP, BD), pp. 821–826.
ICPR-v2-2004-ZhangN
Surface Tortuosity and its Application to Analyzing Cracks in Concrete (TZ, GN), pp. 851–854.
KDD-2004-BiZB #kernel
Column-generation boosting methods for mixture of kernels (JB, TZ, KPB), pp. 521–526.
SIGIR-2004-ZhangPZ #machine learning #recognition #using
Focused named entity recognition using machine learning (LZ, YP, TZ), pp. 281–288.
ICML-2003-ZhangY #convergence #on the
On the Convergence of Boosting Procedures (TZ, BY), pp. 904–911.
SIGIR-2002-DamerauZWI #categorisation
Experiments in high-dimensional text categorization (FD, TZ, SMW, NI), pp. 357–358.
KDD-2000-IyengarAZ #adaptation #learning #using
Active learning using adaptive resampling (VSI, CA, TZ), pp. 91–98.
ASPLOS-2016-ZhangLJ #concurrent #detection #hardware #memory management #named #performance #transaction #using
TxRace: Efficient Data Race Detection Using Commodity Hardware Transactional Memory (TZ, DL, CJ), pp. 159–173.
ASPLOS-2017-ZhangJL #concurrent #detection #named
ProRace: Practical Data Race Detection for Production Use (TZ, CJ, DL), pp. 149–162.
ASPLOS-2019-ZhangLJ #memory management #named #safety
BOGO: Buy Spatial Memory Safety, Get Temporal Memory Safety (Almost) Free (TZ, DL, CJ), pp. 631–644.
CASE-2019-LiuZHZWW #estimation #learning #network #using
sEMG-Based Continuous Estimation of Knee Joint Angle Using Deep Learning with Convolutional Neural Network (GL, LZ, BH, TZ, ZW, PW), pp. 140–145.

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