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<title>Zhan, Xueying (詹雪莹)</title>
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<table summary="Table for page layout." id="tlayout">
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<div class="menu-category">Menu</div>
<div class="menu-item"><a href="index.html" class="current">Home</a></div>
<div class="menu-item"><a href="https://scholar.google.com/citations?user=3lLypDIAAAAJ&hl=zh-CN">Google Scholar</a></div>
<div class="menu-item"><a href="https://dblp.org/pid/187/4471.html">DBLP</a></div>
<div class="menu-item"><a href="https://github.com/SineZHAN">GitHub</a></div>
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<h1>Zhan, Xueying (詹雪莹) </h1>
</div>
<table class="imgtable"><tr><td>
<a href="https://github.com/SineZHAN/SineZHAN.github.io"><img src="photos/bio.jpg" alt="alt text" width="131px" height="160px" /></a> </td>
<td align="left"><p>Postdoctoral Research Associate<br />
Gates Hillman Center 7601<br />
Computational Biology Department, SCS<br />
Carnegie Mellon University<br />
5000 Forbes Avenue <br />
Pittsburgh, PA 15213<br />
E-mail: <a href="mailto:xueyingz@andrew.cmu.edu">xueyingz@andrew.cmu.edu</a></p>
Spare E-mail: <a href="mailto:sinezhan17@gmail.com">sinezhan17@gmail.com</a></p>
</td></tr></table>
<h2>About me</h2>
<p>I received the B.S. degree from Sun Yat-sen University, school of Data and Computer Science, in 2017. I received my PhD degree at City University of Hong Kong, department of Computer Science. From 2015 to 2017, I conducted research on Crowd-sourcing based on sentiment analysis tasks, supervised by <a href="https://cse.sysu.edu.cn/content/2471">Dr. Yanghui Rao</a>. From 2017 to present, I conduct research on Active Learning, supervised by <a href="https://www.cs.cityu.edu.hk/~abchan/">Prof. Antoni B. Chan</a> and <a href="https://www4.comp.polyu.edu.hk/~csqli/">Prof. Qing Li</a>. My main research interests include Machine Learning, Active Learning and Crowd-sourcing. Currently, I'm a Postdoc at CMU supervised by <a href="https://cbd.cmu.edu/people/xu.html">Prof. Min Xu</a>.</p>
<h2>Research</h2>
<p>My research interests include: </p>
<ul>
<li><p>Active Learning, Machine Learning</p>
</li>
<li><p>Crowd-sourcing, Sentiment Analysis</p>
</li>
<li><p>Computational Biology, Biomedical Image Analysis</p>
</li>
</ul>
<h2>Education</h2>
<p>B.S. Sun Yat-sen University, school of Data and Computer Science, department of Mobile Information Engineering, 2013-2017.</p>
<ul>
<li><p>The Third Prize Scholarship (Sep. 2014), 30% of department. The First Prize Scholarship (Sep. 2015), 5% of department. The Second Prize Scholarship (Sep. 2016), 10% of the department. </p>
</li>
<li><p>The Zhuhai Coca-Cola Scholarship for Outstanding Students (5/446). </p>
</li>
<li><p>Excellent Graduate (2017). </p>
</li>
</ul>
<p>Ph.D. City University of Hong Kong, college of Science and Engineering, department of Computer Science. 2017-2023.</p>
<ul>
<li><p>Research Tuition Scholarship, City University of Hong Kong. (Sep. 2019 - Aug. 2020).</p>
</li>
<li><p>Outstanding Academic Performance Award, City University of Hong Kong. (Aug. 2019) </p>
</li>
<li><p> Postgraduate Studentship, City University of Hong Kong. (Sep. 2017 - Aug. 2021) </p>
</li>
</ul>
<!--<h2>Research Projects</h2>
<ul>
<li><p>Label de-noising/aggregation for crowd-sourcing data. (2015-2019)</p></li>
<li><p>Multiple-criteria Pool-based Active Learning. (2019-2020)</p>
</li>
<li><p>Pool-based (Deep) Active Learning Survey Project. (2019-Present)</p>
</li>
<li><p>Unbiased Active Learning. (2020-Present)</p>
</li>
<li><p>Active Learning Under Out-of-Distribution Data Scenarios. (2022-Present)</p>
</li>
</ul>-->
<h3>Recent publications </h3>
<ol>
<li><p><b>X. Zhan</b>*, Z. Dai, Q. Wang, H. Xiong, Q. Li, D. Dou, Antoni B. Chan. Pareto Optimization
for Active Learning under Out-of-Distribution Data Scenarios. Transactions on Machine Learning Research (TMLR). June 2023. [<a href="https://openreview.net/forum?id=dXnccpSSYF">PDF</a>]</p>
</li><li><p><b>X. Zhan</b>*, Y. Wang, Antoni B. Chan. Asymptotic Optimality for Active Learning Processes. The
38th Conference on Uncertainty in Artificial Intelligence (UAI). 2022. [<a href="https://openreview.net/forum?id=HluKULi5xq">PDF</a>]</p>
</li>
<li><p><b>X. Zhan</b>*, Q. Li, Antoni B. Chan. Multiple-criteria Based Active Learning with Fixed-size Determinantal
Point Processes. ICML@Workshop 2021 (SubSetML) [<a href="https://arxiv.org/pdf/2107.01622.pdf">PDF</a>]</p>
</li>
<li><p><b>X. Zhan</b>*, H. Liu, Q. Li, Antoni B. Chan. A Comparative Survey: Benchmarking for Pool-based Active
Learning. IJCAI (Survey Track) 2021 [<a href="https://www.ijcai.org/proceedings/2021/0634.pdf">PDF</a>]</p>
</li>
<li><p><b>X. Zhan</b>, Y. Wang, Y. Rao*, Q. Li. Learning from Multi-annotator Data: A Noise-aware
Classification Framework. ACM Transactions on Information Systems (TOIS), 2019, 37(2): 26. [<a href="https://dl.acm.org/doi/pdf/10.1145/3309543">PDF</a>]</p>
</li>
<li><p><b>X. Zhan</b>, Y. Wang, Y. Rao*, Q. Li, et al. A network framework for noisy label aggregation in
social media. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL
Volume 2). 2017. [<a href="https://aclanthology.org/P17-2077.pdf">PDF</a>]</p>
</li>
<li><p>Y. Wang, Y. Rao, <b>X. Zhan</b> et al. Sentiment and emotion classification over noisy labels.
Knowledge-Based Systems, 2016, 111: 207-216. [<a href="https://reader.elsevier.com/reader/sd/pii/S095070511630274X?token=3406B7622B66EA500DF0A2131E0C538C01756F7E78497C821170D9B7DE3BEA0ED33DF0D7C34B116E59C38348A7E517B1&originRegion=us-east-1&originCreation=20221223141028">PDF</a>]</p>
</li>
</ol>
<h3>Pre-print papers</h3>
<ol>
<li><p><b>X. Zhan</b>*, Q. Wang, K. Huang, H. Xiong, D. Dou, Antoni B. Chan. A Comparative
Survey of Deep Active Learning. [<a href="https://arxiv.org/pdf/2203.13450.pdf">PDF</a>]</p>
</li>
</ol>
<p><b>Note</b>: * indicates the corresponding author.</p>
<p><a href="https://scholar.google.com/citations?user=3lLypDIAAAAJ&hl=zh-CN">Full list of publications in Google Scholar</a>.</p>
<h3>Open-source softwares</h3>
<ol>
<li><p>Deep Active Learning plus toolkit. [<a href="https://github.com/SineZHAN/deepALplus">SOURCE</a>]</p>
</li>
</ol>
<h3>Academic service</h3>
<p><b>Reviewer</b></p>
<ul>
<li><p>Machine Learning (journal)</p>
</li>
<li><p>IEEE Transactions on Emerging Topics in Computational Intelligence (journal)</p>
</li>
<li><p>Transactions on Machine Learning Research (journal)</p>
</li>
<li><p>NeurIPS 2021, 2022, 2023 (conference)</p>
</li>
<li><p>NeurIPS 2023 Track Datasets and Benchmarks 2022, 2023 (conference)</p>
</li>
<li><p>ICML 2021, 2022, 2023, 2024 (conference)</p>
</li>
<li><p>ICLR 2021, 2022, 2023, 2024 (conference)</p>
</li>
<li><p>AISTATS 2022, 2023, 2024 (conference)</p>
</li>
<li><p>CVPR 2023, 2024 (conference)</p>
</li>
<li><p>UAI 2023 (conference)</p>
</li>
<li><p>ICCV 2023 (conference)</p>
</li>
<li><p>ECCV 2024 (conference)</p>
</li>
</ul>
<p><b>PC (Program Committee) member</b></p>
<ul>
<li><p>WSDM 2024 (conference)</p>
</li>
<li><p>UAI 2024 (conference)</p>
</li>
</ul>
<h2>Experiences</h2>
<ol>
<li><p><b>Visiting Scholar</b>, Tsinghua University, department of Computer Science and Technology, Knowledge Engineering Group (KEG lab, lead by <a href="https://keg.cs.tsinghua.edu.cn/jietang/">Prof. Jie Tang</a>). (Sep. 2020 - Jun. 2021)</p></li>
<li><p><b>Research Intern</b>, Baidu Research, Baidu Inc., Big Data Lab. (Jul. 2021 - Mar. 2023)</p></li>
<li><p><b>Research Assistant</b>, City University of Hong Kong, department of Computer Science. (Sep. 2022 - Jun. 2023)</p></li>
<li><p><b>Teaching Assistant</b> at Sun Yat-sen University. Digital System Design (for BSc) (Sep. 2015 - Jan. 2016). Operating System (for BSc) (Feb. 2016 - Jun. 2016). Principle of Computer Organization (for BSc) (Feb. 2016 - Jun. 2016). Digital Signal Processing (for BSc) (Feb. 2016 - Jun. 2016). Artificial Intelligence (for BSc) (Sep. 2016 - Jan. 2017). </p></li>
<li><p><b>Teaching Assistant</b> at City Univeristy of Hong Kong. CS1102 Introduction to Comp Studies (for BSc) (Sep. 2017 - Dec. 2017 & Jan. 2018 - Jun. 2018). CS4487 Machine Learning (for BSc) (Sep. 2018 - Dec. 2018). CS6487 Topics in Machine Learning (for MSc) (Jan. 2019 - Jun. 2019). CS5487 Machine Learning (for MSc) (Sep. 2019 - Dec. 2019). CS5489 Machine Learning: Algorit&Apns (for MSc) (Jan. 2020 - Jun. 2020). </p></li>
</ol>
<p><br />
<a href="cv/cv_xueyingzhan.pdf">CV</a>.</p>
</td>
</tr>
</table>
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