��<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <!-- saved from url=(0030)http://www.math.pku.edu.cn/teachers/zhzhang/ --> <!-- saved from url=(0046)http://www.math.pku.edu.cn/teachers/zhzhang/index.html --><HTML><HEAD><TITLE>Prof. Zhihua ZHANG</TITLE> <META http-equiv=Content-Type content="text/html; charset=gb2312"> <META content="Microsoft FrontPage 5.0" name=GENERATOR></HEAD> <style> #MyBody {margin-left:200px;margin-top:40px} #PageBody {margin-left:200px; margin-right:200px; margin-bottom:100px; height:800px;} #Notice {margin-left:200px; margin-right:200px; height:12px;} </style> <html> <BODY bgColor=#ffffff> <P> <TABLE id="MyBody"> <TBODY> <TD>&nbsp; </TD> <td width="260"><img src="zhzhang.jpg" width="180" height="240" border="0" alt="Zhihua Zhang's Picture"></td> <TD></TD> <TD></TD> <TD>&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;</TD> <TD> <!-- <H1>&nbsp;</H1> --> <br> <br> ZHANG Zhihua<br> Ph D, Professor in Statistics and CS<br> <!-- <a href="http://www.ml.pku.edu.cn/">Learning and Optimization Group (LOG) </a> f[ O �Ozf<br> --> <!-- <a href="http://www.dl.pku.edu.cn/"> Deep Learning Lab </a> m^f[`N[[ <br> --> <a href="http://www.ml.pku.edu.cn/"> Machine Learning Lab </a> :ghVf[`N[[ <br> <a href="http://www.stat.pku.edu.cn/"> Department of Probability and Statistics </a><br> <a href="http://www.math.pku.edu.cn/"> School of Mathematical Sciences </a><br> <a href="http://www.pku.edu.cn/"> Peking University </a><br> <br> Science building #1 <br> 5 Yiheyuan Road<br> Beijing 100871, China<br> <ADDRESS><A<!-- href="mailto:zhzhangATmath.pku.edu.cn"-->zhzhangATmath.pku.edu.cn</A></ADDRESS> <P> <!-- <TD>&nbsp; </TD> <td width="180"><img src="pi.jpg" width="180" height="200" border="0" alt="Lab Logo"></td> <TD></TD> --> <TD></TD> <!-- <P><BR>[ <A href="http://www.math.pku.edu.cn/teachers/zhzhang/#Pubs">Publications</A> | <A href="http://www.math.pku.edu.cn/teachers/zhzhang/#Stuff">Stuff</A> | <A href="http://www.math.pku.edu.cn/teachers/zhzhang/#Links">Links</A> ] <BR></P></TD> --> <TD></TD> <TD></TD> <TD>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </TD> <TD></TD> <TD></TD> <TD></TD> <TD>&nbsp;</TD></TR></TBODY></TABLE> <!-- <div id="Notice"> <marquee onmouseover=this.stop() onmouseout=this.start()><a> <font color="red" size="3">NOTE: "~:ghVf[`N"T":ghVf[`N[" zs]6R\Ob NwmN�'Yf[_>e z �SN(W~‰ w  http://ocw.sjtu.edu.cn/G2S/OCW/cn/TeacherDetail.htm?id=471"0"~:ghVf[`N"OP͑N:ghVf[`N-Nvisel � ":ghVf[`N["OP͑N:ghVf[`N-Nvw5TOSel0a"� NwmN�'Yf[_>e zNS zƉU_6RT6R\Ov TNN� </font></a></marquee> <marquee onmouseover=this.stop() onmouseout=this.start()><a> <font color="red" size="3">NOTE: b6eZSXT1 T � gtQS{S~b� </font></a></marquee> </div> --> <div id="PageBody"> <HR> <A name=Recruit></A> <p> <!-- SN'Yf[m^f[`N[[/fSN'Yf[pencyf[xvz-N_g͑vW@xxvz:gg0[Ɩ~NSN'Yf[(W{:gyf[0^(uT{pef[0~f[I{Wvg;mÍvf[0[[vO}T/fxvz:ghVf[`Nv:gt �SbFO NPNm^f[`NTX:_f[`N �v^NЏ(u:gtS㉳Qs[0勞[[\(Wpencyf[NNb6evZSuTUxXu �v^USrW{Q� Te--> [[v?aof/f^(u~ct0Џy{OST:gRgI{egxvz:ghVf[`NTpencyf[v:gtT{l, SbFO NPNm^f[`N0:_Sf[`NTisV!jW, v^NЏ(u[NS㉳Q[E�0bNRN)R(upencv~gOo`Tpencv:g'`(�0T{`~T~`~0~TyceTޏ~v‰pegTRgBlwQ g~T~gvpencqR{l0<!--[[OXbSN'Yf[pef[f[bTMRlNSf[yxvzbb6e~f[Tpencyf[NNZSXuTUxXu, Te b6e~f[0pef[T{:gyf[I{NǸofvZSXT, lwQ gN[^:WzNR0[[ T7h_NatQNt{:gyf[ �yr+R/f~Tvisel0 --> <br> <p> </p> 1uNagN@bP� �[[ Nb6eUxXuT,gyuyx �FO/fYg ga?a(WS'Y~~;e~f[NNZSXf[MOv,gyu �"kΏ~S_bNAm0[[ Nb6epencyf[NNvxvzu �FOb_N/f{:gyf[NNvZSXu[^ �Yg`ONeS'Y{:gf[bU_S:NZSXu �"kΏegS_bNAm0"kΏOyv`ReQbN�<br> <p> </p> [[k$NhT;NRN!k :ghVf[`NNpencyf[ ZSXu~ N[W�dNlQqQGPg �0[Wk!k�NMOZSXu1\g*NMRlZP:N|~meQvN~ �;NSbFO NPN:ghVf[`N0ؚ~~f[0Џy{OSTt{:gyf[0bJTOo`pef[f[b[Q0 <br> <p> </p> <!-- [[Rb6e1 T2024t^yeQf[vZSXu �"kΏ{:gyf[0~Tpef[NN �atQNT:_Sf[`Nb~TOS:ghVf[`NBl㉄v{lT[s �wQ g:_v{:g zb_SR �[~Tpef[T~f[ gg'Yf[`Np`v Tf[S{S0Ryyliu@pku.edu.cn �R^6e0 <br> <br> --> <p> </p> <!--<p> If you intend to join us, read this page first. <br> *Yg` gtQReQbN[, HQdk{w (<A HREF="recruit.pdf"> PDF</A>)--> </p> <p> </p> S'YYef[Dn-N__>eNbv z <A href="http://resource.pku.edu.cn/index.php?r=course/detail&id=315"> 0^(upef[W@x 0</A>0 <A href="http://resource.pku.edu.cn/index.php?r=course/detail&id=303"> 0:_Sf[`NW@x 0</A>0<A href="http://resource.pku.edu.cn/index.php?r=course/detail&id=379"> 0:ghVf[`N[ 0</A>0<A href="http://resource.pku.edu.cn/index.php?r=course/detail&id=381"> 0~:ghVf[`N 0</A> Ɖ0S�<A href="http://www.math.pku.edu.cn/teachers/zhzhang/course.pdf"> zSƉf </A>0 </p> 0ؚ~is 0 zƉ <LI><A href="http://www.math.pku.edu.cn/teachers/zhzhang/hdp.html"> High-Dimensional Probability (ؚ~is) </A> <HR> <A name=Areas></A> <H2>Research Areas</A> </H2> <UL> <LI> Machine Learning and AI</A> <!-- <LI> Natural Language Processing/Games in AI</A> --> <LI> High-Dimensional Statistics and Computation </A> <LI> High-Dimensional Probability and Theoretical CS </A> </UL> <HR> <A name=Pubs></A> <H2><A href="http://www.math.pku.edu.cn/teachers/zhzhang/pubs.html">Recent Manuscripts and Publications</A> </H2> <HR> <A name=Toolkit></A> <H2>Software or Toolkit</A> </H2> <UL> <LI><A href=" https://github.com/liber145/rlpack"> Toolkit for Reinforcement Learning Algorithms </A> </UL> <HR> <A name=course></A> <H2>Courses</H2> <UL> <LI> Theoretical Machine Learning, Spring 2022/2024 </A> <LI> Theoretical Statistics (pet~), Fall 2023 </A> <LI> High-Dimensional Probability, Fall 2020 & Fall 2021 </A> <LI><A href="http://www.math.pku.edu.cn/teachers/zhzhang/stat.html"> Statistical Thinking (~`~), Spring 2021 </A> <LI> Theoretical Topics in Machine Learning, Spring 2020 </A> <!--<LI> <A href="http://www.math.pku.edu.cn/teachers/zhzhang/course.html"> zƉcSf </A> --> <LI> Reinforcement Learning: Theory and Algorithms, Spring & Fall 2018 </A> <LI> Deep Learning, Spring 2018 </A> <LI> Bayesian Analysis and Compuation, Fall 2017</A> <!-- <LI> <A href="http://bcmi.sjtu.edu.cn/log/course.html"> An Introduction to Statistical Machine Learning, Spring 2015 </A> --> <LI> <A href="http://bcmi.sjtu.edu.cn/log/courses.html"> An Introduction to Statistical Machine Learning, Spring 2014 </A> (<A href="http://ocw.sjtu.edu.cn/G2S/OCW/cn/CourseDetails.htm?Id=398"> zƉ</A>) (<A href="http://study.163.com/u/CapStat">QfNX</A>) <LI> <A href="http://bcmi.sjtu.edu.cn/log/courses.html"> Foundations of Machine Learning, Spring 2014 </A> (<A href="http://ocw.sjtu.edu.cn/G2S/OCW/cn/CourseDetails.htm?Id=397"> zƉ</A>) (<A href="http://study.163.com/u/CapStat">QfNX</A>) <!-- <LI><A href="http://www.math.pku.edu.cn/teachers/zhzhang/ai.html">Reinforcement Learning: Theory and Algorithms, Spring 2018 </A> </LI> <LI><A href="http://www.math.pku.edu.cn/teachers/zhzhang/matrix.html">Deep Learning: Methods and Applications, Spring 2018 </A> </LI> <LI><A href="http://www.math.pku.edu.cn/teachers/zhzhang/convex.html">An Introduction to Bayesian Statistics, Fall 2017 </A> </LI> --> <!-- <LI> Statistical Learning (-): Statistical Fundamentals, Summer 2010 (<A href="http://10.214.22.21/office">Access restricted to members)</A> </LI> </LI> --> </UL> <HR> <A name=talk></A> <H2>Lectures and Talks</H2> <UL> <LI> The Singular Value Decomposition, Applications, and Beyond (<A HREF="papers/svd.pdf">PDF</A>) </LI> <LI> Dirichlet Processes, Dependent Dirichlet Processes,and Applications in Machine Learning (<A HREF="papers/dp.pdf">PDF</A>) </LI> <LI> The Laplace Transform with Applications in Machine Learning (<A HREF="papers/laptrans.pdf">PDF</A>) </LI> <LI> Randomized Numerical Linear Algebra: Review and Progresses (<A HREF="papers/rnla.pdf">PDF</A>) </LI> </UL> <!-- <HR> <A name=Students></A> <H2>Students</H2> --> <!-- <H3>PhD Students</H3> HAN Yuze <br> LI Xiang <br> LIN Dachao <br> XIE Guangzeng <br> YANG Wenhao <br> ZHANG Boya <br> ZHANG Liangyu <br> ZHANG Yuhang <br> ZHAO Yuekai --> <!-- <H3>Master Students</H3> CHENG Hao <br> JING Hao <br> LIANG Jiadong <br> TIAN Chao <br> WU Fan <br> --> <br> <!-- CHEN Di (Undergraduate) <br> CHEN Zihao (Undergraduate) <br> LIU Shuang (Undergraduate) <br> MO Kaichun (Undergraduate) <br> TIAN Boyu (Undergraduate) <br> ZHENG Yilin (Undergraduate) <br> --> </UL> <HR> <A name=Essays></A> <H2> Essays </A> </H2> <UL> <LI>f[y^NNMbW{QKNb(<A HREF="zzh0426.pdf">hQe</A>) <LI>sNN]zfv,g(�0_TeT(<A HREF="MAI2.pdf">hQe</A>) <LI>sQNbVN]zfSU\srvRgT^ (<A HREF="AI2.pdf">hQe</A>) <LI>sNN]zfv,g(�0b/gT_ (<A HREF="modernAI.pdf">hQe</A>) <LI>/U``8lR` --- 0N]zf�sNel 0ыN^ (<A HREF="AI.pdf">hQe</A>) <LI>m^:_Sf[`N^�:hQe</A>) <LI>is~Tt{:gyf[vGlTqQۏ (<A HREF="StatTcs.pdf">hQe</A>) <LI> ~KN�--d[\v� NBl'YS�,~\jm̑S~NdW (<A href="https://cosx.org/2022/04/interview-of-zhihua-zhang/">��</A>) <LI>sN~f[W{QSO|N~V (<A HREF="modernStat.pdf">hQe</A>) <LI> pef[] z---cRpef[^(uvg~ (<A HREF="matheng.pdf">hQe</A>) <LI> ǑʃN{ N`6qWSq\---:ghVf[`Nv[NX (<A HREF="jingjie.pdf">hQe</A>) <LI> @b KNX_TNN6q---cpencyf[TN]zfvf[ySU\ (<A HREF="dsai.pdf">hQe</A>) <LI> Rq\n� NOOkzNAmS --- 0m^f[`N 0ыN^ (<A HREF="deeplearning.pdf">hQe</A>) <LI> sQN:ghVf[`Nv`NS` (<A HREF="machlearn.pdf">hQe</A>) <LI> :ghVf[`N�~N{KNK` (<A href="http://cos.name/2016/06/machine-learning-statistics-and-computation">hQe</A>) </LI> <LI> Yef[KNa` (<A HREF="teaching.pdf">hQe</A>) (<A href="http://www.ccf.org.cn/sites/ccf/zlcontnry.jsp?contentId=2897719130117">-NV{:gf[O�,{11wS,{12g</A>) </LI> <LI> COS�,{AS]Ng (<A href="http://cos.name/2015/09/interview-of-zhangzhihua/">��</A>) </LI> <!--<LI> xvzubu{w (<A HREF="recruit.pdf">`</A>) </LI>--> </UL> <TD></TD><TD></TD> <HR width="100%"> <ADDRESS><A href="mailto:zhzhang@math.pku.edu.cn">Zhihua Zhang</A></ADDRESS><!-- hhmts start -->Last modified: May 18, 2019. </div> </BODY>