Peking Thesis

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\usepackage{fontspec}
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\pkuthssinfo{
  cthesisname = {博士学位论文}, ethesisname = {Doctor Thesis},
  thesiscover = {博士研究生学位论文},
  ctitle = {面向大规模机器学习的\thssnl 深度表示学习方法},
  etitle = {Deep Representation Learning Methods for Large-Scale Machine Learning},
  cauthor = {张博}, eauthor = {Zhang Bo},
  date = {二〇二六年六月}, studentid = {2001234567}, school = {计算机学院},
  cmajor = {计算机软件与理论}, emajor = {Computer Software and Theory},
  direction = {机器学习}, mentorlines = {1},
  cmentor = {李明\ 教授}, ementor = {Prof.\ Li Ming},
  ckeywords = {表示学习，对比学习，大规模训练，分布式优化}, ekeywords = {representation learning, contrastive learning, large-scale training, distributed optimization},
  degreetype = {1}
}