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<h1 align="left">Yizhou Sun (孙怡舟)</h1>
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<td width="30%"><img src="photos/sun.jpg" width="291" height="194," border="0" hspace="0" /></td>
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<p align="left"><span style="font-size: x-large;"><strong>Associate Professor</strong></span></p>
<p align="left"><a href="http://www.cs.ucla.edu/">Department of Computer Science</a> <br /> <a href="http://www.ucla.edu/">University of California, Los Angeles</a></p>
<p align="left"><span style="font-weight: bold;">Office:</span>&nbsp;BH 3531F<br /> <span style="font-weight: bold;">Email:</span>&nbsp;&nbsp;yzsun at cs dot ucla dot edu</p>
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<p style="font-family: times new roman,serif;"><span style="font-size: large;"><strong>About Me</strong></span> [ <a href="cv\cv_yizhou_Jul_2017.pdf">CV</a> ]</p>



<p style="font-family: times new roman,serif;">I am currently an associate professor at Computer Science, UCLA. Prior to that, I joined Northeastern University as an assistant professor in 2013. I received my Ph.D. degree from <a href="http://www.cs.uiuc.edu/"> Computer Science Department</a>,&nbsp; <a href="http://www.uiuc.edu/"> University of Illinois at Urbana Champaign (UIUC)</a> in December 2012. I got my master degree and bachelor degrees in Computer Science and Statistics from <a href="http://www.pku.edu.cn/"> Peking University</a>, China.</p>

<p style="font-family: times new roman,serif;"><span style="font-size: large;"><strong><a href= "https://ucla-dm.github.io/DM_website/index.html">More about our Lab</a></strong></span></p>


<p><span style="font-size: large;"><strong>For Prospective Students</strong></span></p>
<p>I am now looking for highly motivated Ph.D. students. <a href="students/prospective.html">Read more for related information.</a></p>
<p><span style="color: red; font-size: large;"><strong>What's New</strong></span></p>
<ul>
<li>[<strong>Sept. 2022</strong>] New Group Website has lauched: <a href= "https://ucla-dm.github.io/DM_website/index.html">https://ucla-dm.github.io/DM_website/index.html</a></li>
<li>[<strong>Sept. 2022</strong>] Three papers have been accepted by NeurIPS'22. Congratulations to Arjun, Shichang, and Ziniu!</li>
<li>[<strong>Sept. 2022</strong>] Junheng has succesfully passed thesis defense. Congratulations, Dr. Hao!</li>
<li>[<strong>Sept. 2022</strong>] Vivian Cheng has received Amazon Fellowship. Congratulations to Vivian and Thanks Amazon!</li>
<li>[<strong>Sept. 2022</strong>] I received VLDB Test of Time Award at VLDB'22.</li>
<li>[<strong>Aug. 2022</strong>] A New NSF Award on Automating High Level Synthesis via Graph-Centric Deep Learning has been funded, a joint work with Jason Cong. </li>
<li><a href="news.html">More...</a></li>
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<p class="content-item" style="font-family: times new roman,serif;"><span style="font-size: large;"><strong><a name="research_interests"></a>Research Interests</strong></span></p>
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<li>Large-Scale Information Network Analysis, Social Network, Link Analysis</li>
<li>Graph Mining, Web Mining, Text Mining</li>
<li>Data Mining, Database Systems, Statistics, Machine Learning,&nbsp;Information Retrieval, Network Science</li>
<li><a href="Research.htm">More about my Research</a>&nbsp;</li>
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<p><span style="font-size: large;"><strong>Book</strong></span></p>
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<li><em><a href="http://dx.doi.org/10.2200/S00433ED1V01Y201207DMK005">Mining Heterogeneous Information Networks: Principles and Methodologies</a></em>, by Yizhou Sun and Jiawei Han, Morgan &amp; Claypool Publishers, 2012.</li>
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<p><span style="font-size: large;"><strong>Selected Publications</strong> </span>[<a href="Publications.htm">Full List</a>] [<a href="http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/s/Sun:Yizhou.html">DBLP</a>] [<a href="http://scholar.google.com/citations?hl=en&amp;user=TQgOjK0AAAAJ">Google Scholar</a>]</p>
<ul>
<li> Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun, "<a href = "papers/2022_KDD_RLogic.pdf">RLogic: Recursive Logical Rule Learning from Knowledge Graphs,</a>" in Proc. of 2022 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<strong>KDD’22</strong>), Washington, DC, Aug. 2022. 

<li> Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, and Jason Cong, "<a href="https://arxiv.org/abs/2111.08848">Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks</a>," in Proc. of 59th ACM/IEEE Design Automation Conference (<strong>DAC'22</strong>), San Francisco, July 2022. 
</li>

<li>
Shichang Zhang, Yozen Liu, Yizhou Sun, and Neil Shah, "Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation," in Proc. 2022 Int. Conf. on Learning Representations (<strong>ICLR’22</strong>), April 2022. [<a href = "https://arxiv.org/abs/2110.08727">Arxiv</a>]
</li>


<li>
Xuelu Chen, Ziniu Hu, and Yizhou Sun, "<a href = "papers/2022_AAAI_FuzzQE.pdf">Fuzzy Logic based Logical Query Answering on Knowledge Graphs</a>," in Proc. of the 36th AAAI Conf. on Artificial Intelligence <strong>(AAAI'22)</strong>, Feb. 2022. [<a href = "slides/AAAI22_FuzzQE.pdf">Slides</a>][<a href = "https://github.com/stasl0217/FuzzQE-code">GitHub</a>]
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<li>Ziniu Hu, Yuxiao Dong, Kuansan Wang, and <strong>Yizhou Sun</strong>, "<a href="https://arxiv.org/abs/2003.01332">Heterogeneous Graph Transformer</a>," <span style="letter-spacing: 0.0px;">in Proc. 2020 Int. World Wide Web Conf. (<strong>WWW&rsquo;20</strong>), Taipei, Taiwan, Apr. 2020. [<a href="https://github.com/acbull/pyHGT">Code</a>]</span></li>

<li>Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, and Tianyi Wu, "<em>PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks</em>", <strong>PVLDB</strong> 4(11): 992-1003, 2011. (Also, Proc. of 2011 Int. Conf. on Very Large Data Bases (<strong>VLDB'11/PVLDB</strong>), Seattle, WA, Aug. 2011.) (Acceptance rate: 100/553 = 18.1%) [<a href="papers/vldb11_topKSim.pdf">pdf</a>] [<a href="slides/vldb11_PathSim_v3.pptx">slides</a>][<a href="https://www.dropbox.com/s/10x8lzli7rdtejy/DBIS.zip?dl=0">DBIS data</a>]</li>
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<li>Ting Chen, <strong>Yizhou Sun</strong>, Yue Shi, Liangjie Hong, "<a href="papers/2017_kdd_sampling.pdf"><em>On Sampling Strategies for Neural Network-based Collaborative Filtering,</em></a>" Proc. of 2017 ACM SIGKDD&nbsp;Int. Conf. on Knowledge Discovery and Data Mining (<strong>KDD'17</strong>), Halifax, Nova Scotia, Canada, Aug. 2017. [<a href="https://www.slideshare.net/chentingpc/on-sampling-strategies-for-sampling-strategiesbased-collaborative-filtering">Slides</a>][<a href="https://github.com/chentingpc/NNCF">code</a>] [<a href=" https://www.youtube.com/watch?v=Dx_ncSd_mdE">video</a>]</li>
<li>Yupeng Gu, <strong>Yizhou Sun</strong>, Jianxi Gao, "<a href="papers/2017_kdd_coevolution.pdf"><em>The Co-Evolution Model for Social Network Evolving and Opinion Migration</em></a>," Proc. of 2017 ACM SIGKDD&nbsp;Int. Conf. on Knowledge Discovery and Data Mining (<strong>KDD'17</strong>), Halifax, Nova Scotia, Canada, Aug. 2017. [<a href="​http://web.cs.ucla.edu/~ypgu/code/conn/">Code</a>] [<a href="https://www.youtube.com/watch?v=SWhRJpKYsYE">video</a>]</li>
<li>Ting Chen and <strong>Yizhou Sun</strong>, "<a href="papers/WSDM17_Chen.pdf"><em>Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification</em></a>," Proc. of 2017 ACM Int. Conf. on Web Search and Data Mining (<strong>WSDM'17</strong>), Cambridge UK, Feb. 2017. [<a href="https://arxiv.org/abs/1612.02814">arXiv Version</a>] [<a href="https://github.com/chentingpc/GuidedHeteEmbedding">Code</a>]</li>
<li>Ting Chen, Lu-An Tang, <strong>Yizhou Sun</strong>, Zhengzhang Chen, Kai Zhang, <a href="papers/ijcai16_anomaly.pdf"><em>"Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events</em></a>," Proc. 25th Int. Joint Conf. on Artifical Intelligence (<strong>IJCAI'16</strong>), New York City, USA, Jul. 2016.</li>
<li>Yupeng Gu, <strong>Yizhou Sun</strong>, Ning Jiang, Bingyu Wang, Ting Chen, "<a href="papers/KDD14_Voting_Oct.pdf"><em>Topic-Factorized Ideal Point Estimation Model for Legislative Voting Network</em></a>," Proc. of 2014 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<strong>KDD&rsquo;14</strong>), New York, NY, Aug. 2014. [<a href="https://drive.google.com/file/d/0B-FEq2_58oWHT0VNYzlCZG1ZcXc/edit?usp=sharing">slides</a>] [<a href="http://dm.ccs.neu.edu/projects/votingnet/ideal_point/">demo</a>][<a href="https://drive.google.com/file/d/0B-FEq2_58oWHcnFGaEt4N3V5a3M/edit?usp=sharing">code and dataset</a>]</li>
<li><strong>Yizhou Sun</strong>, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, and Xiao Yu, "<em>Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks</em>", Proc. 2012 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (<strong>KDD'12</strong>), Beijing, China, Aug. 2012. (<span class="auto-style1"><strong>Best Student Paper Award</strong></span>) [<a href="papers/kdd12_pathselclus.pdf">pdf</a>][<a href="slides/KDD12_Yizhou.pptx">slides</a>]</li>
-->
</ul>

<p><strong><span style="font-size: large;">Students</span></strong></p>
<ul>
<li><strong>PhD Students</strong>
<ul>
<li><a href="http://yunshengb.com/">Yunsheng Bai</a> (Co-advising with Prof. Wei Wang)</li>
<li><a href="https://vivian1993.github.io/">Kewei (Vivian) Cheng</a></li>
<li><a href="https://acbull.github.io/">Ziniu Hu</a> (Co-advising with Prof. Kai-Wei Chang)</li>
<li><a href = "https://songjiang0909.github.io/">Song Jiang</a></li>
<li>Yewen Wang</li>
<li><a href="http://web.cs.ucla.edu/%7Epatricia.xiao/">Patricia Xiao</a> (Co-advising with Prof. Mason Porter)</li>
<li><a href="https://web.cs.ucla.edu/~roshnigiyer/">Roshni Iyer</a> (Co-advising with Prof. Wei Wang)</li>
<li><a href="https://zijieh.github.io/">Zijie Huang</a> (Co-advising with Prof. Wei Wang)</li>
<li><a href="https://shichangzh.github.io/">Shichang Zhang</a></li>
<li>Zongyue Qin</li>
<li>Derek Xu (Co-advising with Prof. Wei Wang)</li>
<li><a href= "https://arjunsubramonian.github.io/">Arjun Subramonian</a> (Co-advising with Prof. Kai-Wei Chang)</li>
<li>Zeyuan (Fred) Xu </li>
<li><a href = "https://sxkdz.github.io/">Yanqiao Zhu</a> (Co-advising with Prof. Wei Wang)</li>

</ul>
</li>
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<li><strong>Graduated PhD Students (Year, First Position)</strong>
<ul>
<li><a href = "https://www.haojunheng.com/">Junheng (Jeff) Hao </a> (2022, MSR) </li>
<li><a href = "http://yellowstone.cs.ucla.edu/~shirley/"> Xuelu (Shirley) Chen </a> (2021, Meta) </li>
<li><a href="https://research.google/people/106719/">Ting Chen</a> (2019, Google Brain)</li>
<li><a href="https://scholar.google.com/citations?user=11jDFV8AAAAJ&hl=en">Yupeng Gu</a> (2018, Pinterest)</li>
</ul>
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<!--
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<li><strong>Master Students</strong>
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<li>Yuan Zhong (Graduation year: 2017@NEU; now Facebook)</li>
<li>Susan Collins (Graudation year: 2015@NEU)</li>
<li>Bingyu Wang (Graduation year: 2014@NEU; now PhD student@NEU)</li>
</ul>
</li>
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-->
<p><strong><span style="font-size: large;">Selected Honors and Awards</span></strong></p>
<ul>
<li><strong><a href="https://www.acm.org/media-center/2022/december/distinguished-members-2022">ACM Distinguished Member</a></strong>, 2022</li>
<li><strong><a href="https://www.cs.ucla.edu/professor-yizhou-sun-wins-vldb-test-of-time-award/"> VLDB Test of Time Award </a></strong>, 2022</li>
<li><strong><a href="https://www.cs.ucla.edu/paper-from-ucla-scalable-analytics-institute-wins-best-student-paper-award-at-acm-bcb-2020/">BCB Best Student Paper Award </a></strong>, 2020 </li>
<li><strong><a href = "https://www.amazon.science/research-awards/recipients/yizhou-sun-2020">Amazon Research Award </a></strong>, 2020 </li>
<li><strong>Okawa Foundation Research Grant, 2019</li>
<li><strong><a href = "https://ara.amazon-ml.com/recipients/#2018">Amazon Research Award </a></strong>, 2018</li>
<li><strong>Distinguished Alumni Educator Award<strong>, CS @ ILLINOIS Alumni Awards </strong></strong>, 2016</li>
<li><strong>Best Paper Award</strong>, Tsinghua Science and Technology 2015 Best Paper Award, 2016</li>
<li><strong>NSF CAREER Award</strong>, 2015</li>
<li><strong>Yahoo ACE (Academic Career Enhancement) Award</strong>, 2013</li>
<li><strong>ACM SIGKDD 2013 Dissertation Award</strong>, 2013</li>
<li><strong>Yahoo!-DAIS Outstanding Research Award</strong>, UIUC, 2013</li>
<li><strong>Best Student Paper Award</strong>, 2012 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'12), 2012</li>
<li><strong>Best Paper Award</strong>, Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'11), July 2011</li>
<li><strong>Data Mining Research Awards</strong>, Data Mining Group, UIUC, Fall 2012, Spring 2012, Fall 2011, Spring 2011, Spring 2009, and Fall 2008</li>
</ul>
<p>[<a href="resources.html">Useful Links</a>]</p>
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