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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta content="IE=11.0000" http-equiv="X-UA-Compatible">
<meta name="GENERATOR" content="MSHTML 11.00.9600.18125">
<link href="./RunzeFan_files/jemdoc.css" rel="stylesheet" type="text/css">
<title>Run-Ze Fan</title>
<script type="text/javascript" src="./RunzeFan_files/jquery-1.12.4.min.js.下载"></script></head>
<body>
<div id="layout-content">
<div id="make-narrow">
<div id="toptitle">
<h1>Run-Ze Fan (樊润泽)</h1></div>
<p>
<img src="./RunzeFan_files/profile.jpg" align="right" style="width:180px;height:240px;">
</p>
<p>M.S. Candidate</p>
<p><a href="http://www.ict.cas.cn/jssgk/zzjg/kyxt/wlzdsys/js/" target="_blank">CAS Key Lab of Web Data Science and Technology</a> <br><a href="http://www.ict.ac.cn/" target="_blank">Institute of Computing Technology, Chinese Academy of Sciences</a> <br>Haidian District, Beijing, China.</p>
<p><b>Email</b>: runze.fan(at)icloud(dot)com</p>
<!-- <P><B>WeChat</B>: wxidbhl</P> -->
<p>
<a href="#" target="_blank"><img src="./RunzeFan_files/google_scholar.png" height="30px" style="margin-bottom:-3px"></a>
<a href="#" target="_blank"><img src="./RunzeFan_files/dblp.png" height="30px" style="margin-bottom:-3px"></a>
<a href="https://www.zhihu.com/people/vfrz" target="_blank"><img src="./RunzeFan_files/zhihu.ico" height="30px" style="margin-bottom:-3px"></a>
<a href="https://github.com/RZFan525" target="_blank"><img src="./RunzeFan_files/github_s.jpg" height="30px" style="margin-bottom:-3px"></a>
<a href="https://www.linkedin.com/in/vfrz525/" target="_blank"><img src="./RunzeFan_files/LinkedIn_s.png" height="30px" style="margin-bottom:-3px"></a>
</p>
<p><a href="./RunzeFan_files/CV_RunzeFan.pdf" target="_blank">[Curriculum Vitae]</a></p>
<!-- <P><A href="https://dblp.uni-trier.de/pers/hd/b/Bai:Haoli">[DBLP]</A> -->
<!-- <A href="https://github.com/haolibai">[GitHub]</A> -->
<!--<a href="http://appsrv.cse.cuhk.edu.hk/~hlbai/CV_Haoli.pdf">[CV]</A>-->
<p></p>
<h2>General</h2>
<p>I am a second-year M.S. student at <a href="http://www.ict.ac.cn/" target="_blank">Institute of Computing Technology(ICT) of Chinese Academy of Sciences(CAS) </a>, supervised by <a href="https://scholar.google.com.hk/citations?user=nD0I3PUAAAAJ&hl=zh-CN&oi=ao" target="_blank">Prof. Jiafeng Guo</a>. I received the B.E. degree in computer science and technology from <a href="https://www.shmtu.edu.cn/" target="_blank">Shanghai Maritime University(SHMTU)</a> in 2021.
</p><h2>Research Interests</h2>
<p>My research interests lie at the intersection of natural language processing and machine learning. Specifically,</p>
<ul>
<li><b>Event Extraction</b>(EE) aims to automatically extract the structured event information (event type, trigger, arguments) from raw text data.</li>
<li><b>Universal Information Extraction</b> aims to extraction any structure information (entity, relation, event) under any schema via a unified framework.</li>
<li><b>Retrieval Augmentation</b> aims to combine the parametric language model with a nonparametric model (that retrieves related knowledge) to obtain some desirable properties such as explainability, robust controllability and better generalization ability.</li>
<li><b>Cross Task Generalization</b> aims to study the ability of current PLMs to generalize on unseen NLP tasks, which is a more challenging yet important setting.</li>
</ul>
<h2>News</h2>
<ul>
<li>
2022-01-08: I am looking for a research internship from now to July 2022 (6-month), please drop me an email if you'd like to collaborate with me on Natural Language Processing and Machine Learning.
</li>
<li>
2021-06-03: I am honored to be awarded the Excellent Bachelor's Graduation Thesis!
</li>
<li>
2021-04-24: My <a href="https://rzfan525.github.io/"> homepage </a> was created and released.
</li>
</ul>
<h2>Research Experiences</h2>
<ul>
<li>
<p>2022.3-2022.6 <b> Text to Paraphrase Generation for Event Extraction</b> <br>
I implemented a text-to-paraphrase model, <b>a sequence-to-sequence generation paradigm</b> that can directly extract events from the text in an end-to-end manner based on T5. Experimental results show that this method can achieve <b>the state-of-the-art performance</b> comparing with other methods using the same scale backbone in supervised learning setting.
<br>
In conclusion, paraphrase is more suitable to utilize the knowledge that PLM learned from large scale corpus, as it is similar to natural language.
<br>
Furthermore, I updated my survey of neural event extraction adding new works published in 2022.<a href="https://rzfan525.github.io/RunzeFan_files/Survey_EE_new.pdf" target="_blank"> [PDF] </a>
</li>
<li>
<p>2021.10-2021.12 <b> The Final Project of Natural Language Processing Course in UCAS</b> <br>
<b>Neural Event Extraction at Sentence Level</b> <br>
As the team leader, I implemented a baseline for <b>Event Extraction</b> using BERT. In this model, trigger identification and classification were regarded as a sequence labeling task and arguments identification and classification were regarded as classification task.
<br>
To address the error propagation problem, a multi-task learning was adopted including Relation Extraction, Named Entity Recognition and Event Extraction.
<br>
Furthermore, I wrote <b>a Survey of Neural Event Extraction</b>(Chinese).(<b>Presentation</b>(6/300)) <a href="https://rzfan525.github.io/RunzeFan_files/Survey_EE.pdf" target="_blank"> [PDF] </a>
<a href="https://rzfan525.github.io/RunzeFan_files/Survey_EE_slides.pdf" target="_blank"> [Slides] </a>
</li>
<li>
<p>2020.12-2021.05 <b> Bachelor’s Graduation Project</b> <br>
<b> A Study of Key Entity Extraction Methods at Document Level </b> <br>
To address <b>Key Entity Extraction</b> problem, I proposed and implemented a key entity extraction algorithm based on similarity weight transfer. Firstly, I used BERT and CRF model for named entity recognition, then I used the graph-based unsupervised model TextRank algorithm to find the key phrases and their importance weights, and finally I used <b> the proposed key entity extraction algorithm KEE-SWT</b> to find the key entities, i.e., key person, key location and key organization. <br>
The experimental results showed that the KEE-SWT algorithm proposed in this paper outperforms the MultiRank algorithm(<b>F1-Score improves by 18% on Top-1 and 12.5% on Top-3</b>), and the title entity weight enhancement method could significantly improve the performance of KEE-SWT and MultiRank algorithms (<b> F1-Score improves by 13% on average on Top-1 and 6.6% on Top-3</b>).
</p>
</li>
<!-- <li>
<p>2019.04-2021.04 <b>National Undergraduate Innovation Project </b><br> <b>An app that rates calligraphy copying works based on image features </b><br> Project No.: G201906005 <b>Team Leader</b> <br> Acted as the team leader, worked on image preprocessing of single page calligraphy works, character
segmentation by Sweep line, individual character skeleton extraction by index table refinement algorithm, radicals
and partial feature extraction by seeking connected subgraph.
</p>
</li> -->
</ul>
<!--
<ul>
<li>
2020-9-26: Our paper <a href="https://proceedings.neurips.cc/paper/2020/file/42cd63cb189c30ed03e42ce2c069566c-Paper.pdf"> Revisiting Parameter Sharing for Automatic Neural Channel Number Search </a> was accepted by NeurIPS 2020.
</li>
</ul>
<ul>
<li>
2020-7-1: I joined Huawei Noah's Ark Lab as a research intern.
</li>
</ul>
-->
<h2>Publications</h2>
I'm trying my best to work on it!
<h2>Academic Services</h2>
<li>
<b>Reviewer:</b> <br>
<b>EMNLP: </b> 2022 <br>
<b>ARR: </b> 2022 September
</li>
<h2>Chinese Blogs</h2>
<li>
<a href="https://mp.weixin.qq.com/s/lL950H9T7UFsJRopuWQ59w" target="_blank" ><b>信息抽取新SOTA！ 首个结构化生成式信息抽取预训练模型，一统信息抽取四大任务</b></a> <br>
<i>published in PaperWeekly.</i>
</li>
<!-- <p>(Conference: 3 & Journal: 0)</p> -->
<!--
<ul>
<li>
<p><b>Haoli Bai*</b>, Jiaxing Wang*, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael Lyu, Jian Cheng (* equal contribution in random order) <br>
<a href="https://proceedings.neurips.cc/paper/2020/file/42cd63cb189c30ed03e42ce2c069566c-Paper.pdf"> Revisiting Parameter Sharing for Automatic Neural Channel Number Search </a><br>
<i>NeurIPS'20: Proceedings of the 34th conference on Neural Information Processing Systems</i>, 2020.
<a href="https://github.com/haolibai/APS-channel-search">[Code]</a>
</p>
</li>
</ul>
<ul>
<li>
<p>Kuo Zhong*, Yin Wei*, Chun Yuan, <b>Haoli Bai</b>, Junzhou Huang<br>
<a href="https://dl.acm.org/doi/pdf/10.1145/3394486.3403079">TranSlider: Transfer Ensemble Learning from Exploitation to Exploration</a><br>
<i>KDD'20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining</i>, 2020.
</p>
</li>
</ul>
<ul>
<li>
<p>Jiaxing Wang, <b>Haoli Bai</b>, Jiaxiang Wu, Jian, Cheng<br>
<a href="https://ieeexplore.ieee.org/abstract/document/9018278">Bayesian Automatic Model Compression</a><br>
<i>IEEE Journal of Selected Topics in Signal Processing</i>, 2020.
</p>
</li>
</ul>
<ul>
<li>
<p><b>Haoli Bai</b>, Jiaxiang Wu, Irwin King, Michael Lyu<br>
<a href="https://arxiv.org/abs/1911.09450">Few Shot Network Compression via Cross Distillation</a><br>
<i>AAAI'20: Proceedings of the 34th AAAI Conference on Artificial Intelligence</i>, 2020.
<a href="https://github.com/haolibai/Cross-Distillation">[Code]</a>
<a href="https://haolibai.github.io/assets/aaai20_poster.pdf">[Poster]</a>
</p>
</li>
</ul>
<ul>
<li>
<p>Jiaxing Wang, Jiaxiang Wu, <b>Haoli Bai</b>, Jian Cheng <br>
<a href="https://haolibai.github.io/">M-NAS: Meta Neural Architecture Search</a><br>
<i>AAAI'20: Proceedings of the 34th AAAI Conference on Artificial Intelligence</i>, 2020.
</p>
</li>
</ul>
<ul>
<li>
<p>Yuhang Li, Dong Xin, Saiqian Zhang, <b>Haoli Bai</b>, Yuanpeng Chen, Wei Wang <br>
<a href="https://arxiv.org/abs/1912.02057">RTN: Reparameterized Ternary Network</a><br>
<i>AAAI'20: Proceedings of the 34th AAAI Conference on Artificial Intelligence</i>, 2020.
</p>
</li>
</ul>
<ul>
<li>
<p>Liangjian Wen, Xuanyang Zhang, <b>Haoli Bai</b>, Zenglin Xu <br>
<a href="https://www.sciencedirect.com/science/article/pii/S0893608019303776?dgcid=coauthor">Structured Pruning of Recurrent Neural Networks through Neuron Selection</a><br>
<i>Neural Networks</i>, Volume 123, Pages 134-141, 2020.
</p>
</li>
</ul>
<!-- <UL>
<LI>
<P>Jiaxiang Wu, Yao Zhang, <B>Haoli Bai</B>, Huasong Zhong, Jinlong Hou, Wei Liu, Wenbing Huang, Junzhou Huang<BR>
<A href="https://openreview.net/forum?id=H1fWoYhdim">PocketFlow: An Automated Framework for Compressing and Accelerating Deep Neural Networks</A><BR>
<I>NIPS 2018 workshop on Compact Deep Neural Networks with industrial applications</I>, 2018.
</P>
</LI>
</UL> -->
<!--
<ul>
<li>
<p><b>Haoli Bai</b>, Zhuangbin Chen, Michael Lyu, Irwin King, Zenglin Xu<br>
<a href="https://17a11ed1-a-62cb3a1a-s-sites.googlegroups.com/site/nipsts2017/NIPS_2017_TSW_paper_19.pdf?attachauth=ANoY7cpYZEIRsiSfABAUrEA9qufYoQHayE6Tig80lyv_oBnhCE3RxDLpBtUn_N-sHv7XHb4dtMJ_L7menG9o0wrZBg9UABgZW9hQ2o57fv1yJqt3rLt-iC-AlKGRdb0c3Nszm2JRK_0-aXlpM8YvxqLUz89WKshOLN8djDBd81N9y5xaSrZxPDmGUh0pot2_HnguXwBAY2vT-HAj_kKRpJeEZx6V8HTvyjns_W8G3Phf8gt_tVFs1SY%3D&attredirects=0">Neural Relational Topic Models for Scientific Article Analysis</a><br>
<i>CIKM'18: Proceedings of The 27th International Conference on Information and Knowledge Management</i>, 2018.
<a href="https://github.com/zbchern/Neural-Relational-Topic-Models">[Code]</a>
</p>
</li>
</ul>
<ul>
<li>
<p>Hao Liu, Lirong He, <b>Haoli Bai</b>, Bo Dai, Zenglin Xu, Kun Bai<br>
<a href="https://17a11ed1-a-62cb3a1a-s-sites.googlegroups.com/site/nipsts2017/NIPS_2017_TSW_paper_19.pdf?attachauth=ANoY7cpYZEIRsiSfABAUrEA9qufYoQHayE6Tig80lyv_oBnhCE3RxDLpBtUn_N-sHv7XHb4dtMJ_L7menG9o0wrZBg9UABgZW9hQ2o57fv1yJqt3rLt-iC-AlKGRdb0c3Nszm2JRK_0-aXlpM8YvxqLUz89WKshOLN8djDBd81N9y5xaSrZxPDmGUh0pot2_HnguXwBAY2vT-HAj_kKRpJeEZx6V8HTvyjns_W8G3Phf8gt_tVFs1SY%3D&attredirects=0">Structured Inference for Recurrent Hidden Semi-Markov Model</a><br>
<i>IJCAI'18: Proceedings of The 27th International Joint Conference on Artificial Intelligence</i>, 2018.
</p>
</li>
</ul>
<!--
<UL>
<LI>
<P>Hao Liu, <B>Haoli Bai</B>, Lirong He, Zenglin Xu<BR>
<A href="http://roseyu.com/time-series-workshop/submissions/TSW2017_paper_17.pdf">Stochastic Sequential Neural Networks with Structured Inference</A><BR>
<I>Time Series Workshop on International Conference on Machine Learning</I>, 2017.
</P>
</LI>
</UL>
-->
<!-- <UL>
<LI>
<P>Bin Liu, Zenglin Xu, Bo Dai, <B>Haoli Bai</B>, Xianghong Fang, Yazhou Ren, Shandian Zhe<BR>
<A href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7966296">Learning from Semantically Dependent Multi-Tasks</A><BR>
<I>IJCNN'17: Proceedings of The 30th International Joint Conference on Neural Networks</I>, 2017.
</P>
</LI>
</UL> -->
<!--
<ul>
<li>
<p><b>Haoli Bai</b>, Zenglin Xu, Bin Liu, Yingming Li<br>
<a href="http://proceedings.mlr.press/v63/bai103.html">Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network</a><br>
<i>ACML'16: Proceedings of The 8th Asian Conference on Machine Learning</i>, 2016, <b>Best Student Paper Runner-up</b>.
</p>
</li>
</ul>
<h2>Preprints</h2>
<ul>
<li>
<p><b>Haoli Bai</b>, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael Lyu, Irwin King <br>
<a href="https://arxiv.org/abs/2012.15701"> BinaryBERT: Pushing the Limit of BERT Quantization </a><br>
<i>Preprint arXiv:2012.15701</i>, 2020.
</p>
</li>
</ul>
<ul>
<li>
<p><b>Haoli Bai*</b>, Xianghong Fang*, Jian Li, Zenglin Xu, Michael Lyu, Irwin King (* equal contribution in random order) <br>
<a href="https://arxiv.org/abs/2004.09764"> Discrete Auto-regressive Variational Attention Models for Text Modeling </a><br>
<i>Preprint arXiv:2004.09764</i>, 2020.
</p>
</li>
</ul>
-->
<!--
<ul>
<li>
<p>PocketFlow: An Automated Framework for Compressing and Accelerating Deep Neural Networks <a href="https://github.com/tencent/PocketFlow">[Code]</a><a href="https://pocketflow.github.io/"> [Doc]</a><br> <!--<B> (Stars</B>:>1000, <B>Folks:</B>>150)<BR>
I am responsible for developing the quantization modules and the associated hyper-parameter optimizer with the RL engine. Our 8-bit quantized MobileNet-V2 achieves around 3.0x speed-up deployed by TF-Lite, with no performance drop~(Top-1 Acc. 72.26%) on ImageNet.<br>
</p>
</li>
</ul>
-->
<!--
<h2>Services</h2>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;"></div>
</div>
<ul>
<li>
<div style="float:left;">IJCAI-21</div>
<div style="float:right;">Conference Senior PC Member</div>
</li>
</ul>
<ul>
<li>
<div style="float:left;">ICML-21, NeurIPS-20, AAAI-19-21, IJCAI-20</div>
<div style="float:right;">Conference PC Member</div>
</li>
</ul>
<ul>
<li>
<div style="float:left;">Cognitive Computation, Neural Networks, Neurocomputing</div>
<div style="float:right;">Journal Reviewer</div>
</li>
</ul>
-->
<h2>Selected Awards</h2>
<ul>
<li>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">Excellent Bachelor's Graduation Thesis</div>
<div style="float:right;">2021 Shanghai Maritime University</div>
</div>
</li>
</ul>
<ul>
<li>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">Excellent Graduate</div>
<div style="float:right;">2021 Shanghai Maritime University</div>
</div>
</li>
</ul>
<!--
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">AAAI Student Travel Grant</div>
<div style="float:right;">AAAI 2020</div>
</div>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">ACM Student Travel Grant</div>
<div style="float:right;">CIKM 2018</div>
</div>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">CUHK Postgraduate Student Scholarship</div>
<div style="float:right;">2017-2021</div>
</div>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">Best Student Paper Runner-up</div>
<div style="float:right;">ACML 2016</div>
</div>
<!-- <div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">Meritorious Winner of the Mathmematical Contest in Modeling (MCM</div>
<div style="float:right;">2016</div>
</div> -->
<!--
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">National Scholarship</div>
<div style="float:right;">2015</div>
</div>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">Tang Lixin Scholarship</div>
<div style="float:right;">2015</div>
</div>
-->
<!-- <h2>Working Experiences</h2>-->
<!--
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">Research Intern at <a href="http://www.noahlab.com.hk/#/home">Huawei Noah's Ark Lab</a></div>
<div style="float:right;">2020 Summer</div>
</div>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">Research Intern at <a href="https://ai.tencent.com/ailab/index.html">Tencent AI Lab</a></div>
<div style="float:right;">2018 Summer</div>
</div>
-->
<!-- <div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">PhD. Candidate, <A href="http://www.cse.cuhk.edu.hk/en/">CSE Department</A>, <A href="http://www.cuhk.edu.hk/english/index.html">CUHK</A> </div>
<div style="float:right;">2017-Now</A></div>
</div>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">B.Eng., <A href="http://www.yingcai.uestc.edu.cn/">Yingcai Honors College</A>, <A href="http://www.uestc.edu.cn/">UESTC</A></div>
<div style="float:right;">2013-2017</div>
</div> -->
<!--
<h2>Teaching Assistant</h2>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">CSCI3100: Software Engineering</div>
<div style="float:right;">2020 Spring</div>
</div>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">CSCI3100: Software Engineering</div>
<div style="float:right;">2019 Spring</div>
</div>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">CSCI1540: Introduction to C++</div>
<div style="float:right;">2018 Fall</div>
</div>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">CSCI3100: Software Engineering</div>
<div style="float:right;">2018 Spring</div>
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<H2>External Reviews</H2>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">ICSE, DSN, WWW, KDD, EDCC, ISSRE, NCA</div>
<div style="float:right;">2016</div>
</div>
<div style="overflow:hidden;margin-bottom: 0.6em">
<div style="float:left;">ICSE, WWW, NIPS, ISSRE, WSDM, ACML</div>
<div style="float:right;">2015</div>
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