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  <title>Zineng Tang</title>
  
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              <p style="text-align:center">
                <name>Zineng Tang</name>
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              <p>  I am a first year Ph.D student at BAIR (Berkeley Artificial Intelligence) working with <a href="https://www.alanesuhr.com/">Alane Suhr</a>.
		   Previously, I had wonderful experience working with <a href="https://www.cs.unc.edu/~mbansal/">Mohit Bansal</a> at <a href="https://nlp.cs.unc.edu/">UNC-NLP</a>, <a href="https://murgelab.cs.unc.edu/">MURGe-Lab</a> 
	           and <a href="https://ziyi-yang.github.io/">Ziyi Yang</a> at Microsoft. I did my undergrad at UNC Chapel Hill!
<!-- 		   I am the <strong>awardee</strong> of the <a href="https://cra.org/2023-outstanding-undergraduate-researcher-award-recipients/">2023 CRA Outstanding Undergraduate Researcher Award</a>. -->
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              <p style="text-align:center">
                <a href="mailto:zn.tang.terran@gmail.com">Email</a> &nbsp/&nbsp
                <a href="images/CV.pdf">CV</a> &nbsp/&nbsp
                <a href="https://scholar.google.com/citations?user=bZy4vtwAAAAJ&hl=zh-CN">Google Scholar</a> &nbsp/&nbsp
                <a href="https://twitter.com/ZinengTang">Twitter</a> &nbsp/&nbsp
                <a href="https://github.com/zinengtang">Github</a>
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              <a href="images/zineng.jpg"><img style="width:100%;max-width:100%" alt="profile photo" src="images/zineng.jpg" class="hoverZoomLink"></a>
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              <heading>Research</heading>
              <p>
                My primary research interests lie in the area of multi-modal learning, natural language processing, and machine learning.
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				<a href="https://arxiv.org/abs/2305.11846">
				  <papertitle>CoDi: Any-to-Any Generation via Composable Diffusion</papertitle>
				</a>
				<br>
				<strong>Zineng Tang</strong>,
				<a href="https://www.microsoft.com/en-us/research/people/ziyiyang/">Ziyi Yang</a>,
				<a href="https://nlp-yang.github.io/">Yang Liu</a>,
				<a href="https://cs.stanford.edu/people/cgzhu/">Chenguang Zhu</a>,
				<a href="https://www.microsoft.com/en-us/research/people/nzeng/">Michael Zeng</a>,
					<a href="https://www.cs.unc.edu/~mbansal/">Mohit Bansal</a>
				<br>
				<em>Arxiv</em>, 2023
				<br>
				<a href="https://codi-gen.github.io/">Project Page</a>
				  /
				<a href="https://github.com/microsoft/i-Code/tree/main/i-Code-V3">github</a>
				/
				<a href="https://arxiv.org/abs/2305.11846">arXiv</a>
				<p></p>
				<p>
				We built a framework for any to any modality mapping.
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				<a href="https://arxiv.org/pdf/2212.02623">
				  <papertitle>Unifying Vision, Text, and Layout for Universal Document Processing</papertitle>
				</a>
				<br>
				<strong>Zineng Tang</strong>,
				<a href="https://www.microsoft.com/en-us/research/people/ziyiyang/">Ziyi Yang</a>,
				<a href="https://www.guoxwang.com/">Guoxin Wang</a>,
				<a href="https://www.microsoft.com/en-us/research/people/yuwfan/">Yuwei Fang</a>,
				<a href="https://nlp-yang.github.io/">Yang Liu</a>,
				<a href="https://cs.stanford.edu/people/cgzhu/">Chenguang Zhu</a>,
				<a href="https://www.microsoft.com/en-us/research/people/nzeng/">Michael Zeng</a>,
				<a href="https://www.microsoft.com/en-us/research/people/chazhang/">Cha Zhang</a>,
					<a href="https://www.cs.unc.edu/~mbansal/">Mohit Bansal</a>
				<br>
				<em>CVPR</em>, 2023 <span style="color: red">(Highlight; 2.5% acceptance rate)</span>
				<br>
				<a href="https://github.com/microsoft/i-Code/tree/main/i-Code-Doc">github</a>
				/
				<a href="https://arxiv.org/pdf/2212.02623">arXiv</a>
				<p></p>
				<p>
				We built a unified framework for document processing.
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				<a href="https://arxiv.org/abs/2209.14156">
				  <papertitle>TVLT: Textless Vision-Language Transformer</papertitle>
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				<br>
				<strong>Zineng Tang*</strong>,
				<a href="https://j-min.io/">Jaemin Cho*</a>,
				<a href="https://easonnie.github.io/">Yixin Nie*</a>,
			  <a href="https://www.cs.unc.edu/~mbansal/">Mohit Bansal</a>
				<br>
				<em>NeurIPS</em>, 2022 <span style="color: red">(Oral; 1.76% acceptance rate)</span>
				<br>
				<a href="https://github.com/zinengtang/TVLT">github</a>
				/
				<a href="https://arxiv.org/abs/2209.14156">arXiv</a>
				<p></p>
				<p>
				We built a textless vision-language transformer with a minimalist design.
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				<a href="https://arxiv.org/pdf/2107.02681">
				  <papertitle>Vidlankd: Improving language understanding via video-distilled knowledge transfer</papertitle>
				</a>
				<br>
				<strong>Zineng Tang</strong>,
				<a href="https://j-min.io/">Jaemin Cho</a>,
				<a href="https://scholar.google.com/citations?user=OV1Y3FUAAAAJ&hl=en">Hao Tan</a>,
			  <a href="https://www.cs.unc.edu/~mbansal/">Mohit Bansal</a>
				<br>
				<em>NeurIPS</em>, 2021
				<br>
				<a href="https://github.com/zinengtang/VidLanKD">github</a>
				/
				<a href="https://arxiv.org/pdf/2107.02681">arXiv</a>
				<p></p>
				<p>
				We built a teacher-student transformer for visually grounded language learning.
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				<a href="https://aclanthology.org/2021.naacl-main.193/">
				  <papertitle>Decembert: Learning from noisy instructional videos via dense captions and entropy minimization</papertitle>
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				<br>
				<strong>Zineng Tang*</strong>,
				<a href="https://jayleicn.github.io/">Jie Lei*</a>,
			  <a href="https://www.cs.unc.edu/~mbansal/">Mohit Bansal</a>
				<br>
				<em>NAACL</em>, 2021
				<br>
				<a href="https://github.com/zinengtang/DeCEMBERT">github</a>
				/
				<a href="https://aclanthology.org/2021.naacl-main.193/">paper</a>
				<p></p>
				<p>
				We built a video-language transformer that addresses the issues of noisy ASR data by dense captions and entropy minimization.
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				<a href="https://aclanthology.org/2021.acl-long.355/">
				  <papertitle>Continuous language generative flow</papertitle>
				</a>
				<br>
				<strong>Zineng Tang</strong>,
				<a href="https://www.cs.unc.edu/~shiyue/">Shiyue Zhang</a>,
				<a href="https://hyounghk.github.io/">Hyounghun Kim</a>,
			    <a href="https://www.cs.unc.edu/~mbansal/">Mohit Bansal</a>
				<br>
				<em>ACL</em>, 2021
				<br>
				<a href="https://github.com/zinengtang/ContinuousFlowNLG">github</a>
				/
				<a href="https://aclanthology.org/2021.acl-long.355/">paper</a>
				<p></p>
				<p>
				We built a language framework basde on continuous generative flow.
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				<a href="https://arxiv.org/pdf/2005.06409">
				  <papertitle>Dense-caption matching and frame-selection gating for temporal localization in VideoQA</papertitle>
				</a>
				<br>
				<a href="https://hyounghk.github.io/">Hyounghun Kim</a>,
				<strong>Zineng Tang</strong>,
			    <a href="https://www.cs.unc.edu/~mbansal/">Mohit Bansal</a>
				<br>
				<em>ACL</em>, 2020
				<br>
				<a href="https://github.com/zinengtang/ContinuousFlowNLG">github</a>
				/
				<a href="https://arxiv.org/pdf/2005.06409">arxiv</a>
				<p></p>
				<p>
				We built a video QA framework basde on various techniques like dense captions.
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			  <heading>Education</heading>
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				<td style="padding:20px;width:25%;vertical-align:middle"><img width="100" src="images/unc.png"></td>
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				  <p>UNC Chapel Hill, B.S. in Mathematics, 2019 - present </p>
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			  <heading>Experiences</heading>
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				<td style="padding:20px;width:25%;vertical-align:middle"><img width="100" src="images/murgelab-logo.png"></td>
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				  <p><a href="https://murgelab.cs.unc.edu/">MURGe-Lab</a>, Undergraduate Research Assistant </p>
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				  <p><a href="https://www.microsoft.com/en-us/research/group/cognitive-services-research/">Microsoft Azure Cognitive Services Research</a>, Research Intern </p>
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			  <heading>Awards</heading>
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				  <p>NeurIPS 2022 Scholar Award</p>
				  <p>Awardee, Outstanding Undergraduate Researcher Award 2023. Computing Research Association (CRA)</p>
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                Website template mainly borrowed from <a href="https://jonbarron.info/">Here</a>
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