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: Zhang:Tong
Contributed to:
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.