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<!DOCTYPE html>
<html>
<head>
<title>Team</title>
<link rel="icon" type="image/x-icon" href="/img/ASCII_1.ico" />
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
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<link rel="stylesheet" href="css_style.css">
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<body>
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<li class="breadcrumb-item active" aria-current="page">Leader</li>
</ol>
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<div class="row justify-content-center">
<div class="list-group col-sm-2 " id="menulist">
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</svg> Student</a>
</div>
<div class="col-sm-8">
<div class="row" style="align-items: center;">
<div class="col-md-6 text-center">
<img src="img/CYN.png" class="img-responsive img_person" alt="Cinque Terre" width="150"
height="200">
</div>
<div class="col-md-4">
<ul class="list-group list-group-flush">
<li class="list-group-item list-group-item-info-custom"><strong>Name</strong>: 曹亚男 Yanan Cao</li>
<li class="list-group-item list-group-item-info-custom"><strong>Title</strong>: Research Fellow</li>
<li class="list-group-item list-group-item-info-custom"><strong>Education</strong>: Ph.D.</li>
<li class="list-group-item list-group-item-info-custom"><strong>Research Direction</strong>: NLP, SNA, ML</li>
<li class="list-group-item list-group-item-info-custom"><strong>Email</strong>: caoyanan@iie.ac.cn </li>
</ul>
</div>
</div>
<br><br>
<div class="col-sm-12 column">
<p style="font-size: large;"><strong>Introduction</strong></p>
<p class="introduction">
曹亚男,中国科学院信息工程研究所第四研究室副主任,研究员,中国科学院大学岗位教授,博士生导师。研究方向为信息内容安全,包括文本内容安全、社会媒体分析等,致力于采用自然语言处理、图神经网络等技术解决网络空间文本、关系等信息内容安全问题。入选2016年度中国科学院信息工程研究所青年之星、2018年度中国科学院青年创新促进会、2021年度国科大优秀岗位教师、2022年度中科院优秀导师;获2017年度百度之星第一名、2020年度PAKDD唯一最佳论文奖、2022年度CCL新闻脉络分析评测第一名、2025年度NLPCC大模型生成文本检测共享任务第一名;获2022年度中国电子学会科技进步二等奖。迄今在WWW、AAAI、ICDM、CIKM等CCF-A/B类会议和期刊上发表50余篇学术论文,连续多年任ACL、COLING领域委员,AAAI、IJCAI高级程序委员会委员,是TKDE、TOIS等国际期刊的审稿人。在国科大主讲《自然语言处理》、《自然语言处理实战》、《深度学习与自然语言处理》等课程,深受学生喜爱和好评。
</p>
<p class="introduction">Prof. Yanan Cao, Deputy Director of the Fourth Faculty, is a research
fellow
of Institute of Information Engineering, Chinese Academy of Sciences(IIE, CAS) and a Ph.D.
program supervisor of University of Chinese Academy of Sciences(UCAS). She had received her
bachelor's degree from the School of Computer Science and Technology of Shandong University
in
2006 and her Ph.D. from the Institute of Computing Technology of the Chinese Academy of
Sciences
in 2012. Her research directions include natural language processing(NLP), social network
analysis(SNA) and machine learning(ML). Her specific research fields include knowledge map
construction and reasoning, text generation, graph neural network and so on. She was
selected as
the youth star of Institute of Information Engineering, Chinese Academy of Sciences in 2016
and
selected into the Youth Innovation Promotion Association(CAS) in 2018. She won the first
place
in the Astar in 2017, won the third place in the OAG-WHOISWHO competition in 2019 and won
the
best paper award of PAKDD in 2020. So far, she has published many academic papers in
international top conferences and journals including WWW, AAAI, ICDM and CIKM, and has
published
more than 60 EI and SCI search papers. She has been a member of ACL, AAAI, EMNLP, CIKM
program
committee and IJCAI senior program committee for many years. She is a peer reviewer of
academic
journals at home and abroad such as TKDE, TIS, FCS, Journal of Computer Science and
Technology,
Journal of Chinese Information Processing, and serves as a review expert of National Natural
Science foundation of China and Beijing Municipal Natural Science Foundation. She has
presided
over and participated in a number of projects supported by National Natural Science
Foundation
of China, National Key Research and Development Project of China and has rich scientific research experience and
project experience. She offered postgraduate courses "Deep Learning and Natural Language
Processing" and "Intelligent Question Answering Frontier Technology" at the University of
Chinese Academy of Sciences , which were well received and praised by students.</p>
<br>
<p style="font-size: large;"><strong>Social Service</strong></p>
<ul class="list-group list-group-flush">
<li class="list-group-item list_ins">1.ACL 2022 AC、AAAI 2022 SPC、KDD 2022 PC</li>
<li class="list-group-item list_ins">2.Program committee member of ACL, IJCAI, EMNLP, WWW,
SIGIR
and other international conferences for many years</li>
<li class="list-group-item list_ins">3.Member of CCF YOCSEF and Youth Working Committee of
China
Chinese Information Society (CIPS)</li>
<li class="list-group-item list_ins">4.Review expert of National Natural Science foundation
of
China and Beijing Municipal Natural Science Foundation.</li>
</ul>
<br>
<p style="font-size: large;"><strong>Awards and Honors</strong></p>
<ul class="list-group list-group-flush">
<li class="list-group-item list_ins">1.Special contribution award of National Engineering
Laboratory for Information Content Security Technology,2013</li>
<li class="list-group-item list_ins">2.Outstanding communist party member of the Institute
of
Information Engineering, Chinese Academy of Sciences,2015</li>
<li class="list-group-item list_ins">3.Youth star of Institute of Information Engineering,
Chinese Academy of Sciences,2016</li>
<li class="list-group-item list_ins">4.1st place in Astar,2017</li>
<li class="list-group-item list_ins">5.Outstanding staff of the Institute of Information
Engineering, Chinese Academy of Sciences,2017</li>
<li class="list-group-item list_ins">6.Member of Youth Innovation Promotion Association of
Chinese Academy of Sciences,2018</li>
<li class="list-group-item list_ins">7.3rd place in the OAG-WHOISWHO,2019</li>
<li class="list-group-item list_ins">8.Best paper award of PAKDD,2020</li>
<li class="list-group-item list_ins">9.Excellent staff at the office level of the Institute
of
Information Engineering, Chinese Academy of Sciences,2021</li>
</ul>
<br>
<p style="font-size: large;"><strong>Representative Works</strong></p>
<ul class="list-group list-group-flush" id="sourceList">
<li class="list-group-item list_ins"><span class="badge text-bg-success">AAAI-2026</AAAI-2026></span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Yu Liu, Xixun Lin, Yanmin Shang, Yangxi Li, Shi Wang, Yanan Cao. PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models. <strong>(Oral)</strong> <a
href="https://arxiv.org/abs/2511.14256" style="color:black">[pdf]</a>
<li class="list-group-item list_ins"><span class="badge text-bg-success">AAAI-2026</AAAI-2026></span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Lanxue Zhang, Yuqiang Xie, Fang Fang, Fanglong Dong, Rui Liu, Yanan Cao. MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge through Group Direct Preference Optimization. <strong></strong> <a
href="https://arxiv.org/abs/2511.12113" style="color:black">[pdf]</a>
<li class="list-group-item list_ins"><span class="badge text-bg-success">AAAI-2026</AAAI-2026></span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Chuancheng Song, Hanyang Shen, Yan Dong, Xixun Lin, Yanmin Shang, Yanan Cao. Breaking One-size-fits-all: Revisiting Out-of-Distribution Detection on Graphs under Diverse Distribution Shifts. <strong></strong> <a
href="" style="color:black">[pdf]</a>
<li class="list-group-item list_ins"><span class="badge text-bg-success">NeurIPS-2025</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Xiaowei Zhu, Yubing Ren, Fang Fang, Qingfeng Tan, Shi Wang, Yanan Cao. DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm. <strong>(Spotlight)</strong> <a
href="https://www.arxiv.org/abs/2509.15550" style="color:black">[pdf]</a>
<li class="list-group-item list_ins"><span class="badge text-bg-success">EMNLP-2025</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan. Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning.  <a
href="" style="color:black">[pdf]</a><a
href="https://github.com/liuyudiy/SAT" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ECAI-2025</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Yixuan Nan, Xixun Lin, Yanmin Shang, Zhuofan Li, Can Zhao, Yanan Cao. RANA: Robust Active Learning for Noisy Network Alignment.  <a
href="" style="color:black">[pdf]</a><a
href="https://github.com/YXNan0110/RANA" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">NLPCC-2025</span> <span class="badge text-bg-info rounded-pill">CCF-C</span> Zhuoshang Wang, Yubing Ren, Guoyu Zhao, Xiaowei Zhu, Hao Li, Yanan Cao. EnsemJudge: Enhancing Reliability in Chinese LLM-Generated Text Detection through Diverse Model Ensembles <a
href="" style="color:black">[pdf]</a><a href="https://github.com/johnsonwangzs/MGT-Mini" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ECML-2025</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Nan Sun, Xixun Lin*, Zhiheng Zhou, Yanmin Shang, Zhenlin Cheng, Yanan Cao. Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs.  <a
href="" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2025</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Yidan Wang, Yubing Ren, Yanan Cao, Binxing Fang. From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models.  <a
href="https://arxiv.org/abs/2505.09924" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2025</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Yidan Wang, Yanan Cao, Yubing Ren, Fang Fang, Zheng Lin, Binxing Fang. PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization.  <a
href="https://arxiv.org/abs/2505.09921" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2025</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Lanxue Zhang, Yanan Cao, Yuqiang Xie, Fang Fang, Yangxi Li. Dynamic Evaluation with Cognitive Reasoning for Multi-turn Safety of Large Language Models.  <a
href="" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2025</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Xiaowei Zhu, Yubing Ren, Yanan Cao, Xixun Lin, Fang Fang, Yangxi Li. Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction.  <a
href="" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">KDD-2025</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu. FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation.  <a
href="" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">TOIS-2025</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Xixun Lin, Rui Liu, Yanan Cao, Lixin Zou, Qian Li, Yongxuan Wu, Yang Liu, Dawei Yin, Guandong Xu. Contrastive Modality-Disentangled Learning for Multimodal Recommendation.  <a
href="https://dl.acm.org/doi/abs/10.1145/3715876" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WWW-2025</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Zheng Lin, Shi Wang. Bridging the Gap: Aligning Language Model Generation with Structured Information Extraction via Controllable State Transition. <a
href="https://openreview.net/forum?id=stFVHso95H" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WWW-2025</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu. Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. <a
href="https://openreview.net/forum?id=qIareorXas#discussion" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">AAAI-2025</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Chuancheng Song, Xixun Lin, Hanyang Shen, Yanmin Shang, Yanan Cao. UniFORM: Towards Unified Framework for Anomaly Detection on Graphs. <strong>(Oral)</strong> <a
href="" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WWWJ-2024</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Yanan Cao, Xixun Lin, Yongxuan Wu, Fengzhao Shi,
Yanmin Shang, Qingfeng Tan, Chuan Zhou, Peng Zhang. A Data-centric Framework of Improving Graph
Neural Networks for Knowledge Graph Embedding. <a
href="https://link.springer.com/article/10.1007/s11280-024-01320-0" style="color:black">[pdf]</a><a
href="https://github.com/advancer99/WWWJ-KGE" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WWWJ-2024</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan. VR-GNN: Variational Relation Vector Graph Neural Network for Modeling Homophily and Heterophily. <a
href="https://link.springer.com/article/10.1007/s11280-024-01261-8" style="color:black">[pdf]</a><a
href="" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ICML-2024</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Xixun Lin, Wenxiao Zhang, Fengzhao Shi,
Chuan
Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao. Graph Neural Stochastic
Diffusion for Estimating Uncertainty in Node Classification. <a
href="https://openreview.net/pdf?id=xJUhgvM2u8" style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2024</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Yubing Ren, Ping Guo, Yanan Cao, Wei Ma.
Subtle
Signatures, Strong Shields: Advancing Robust and Imperceptible Watermarking in Large
Language Models. <a href="" style="color:black">[pdf]</a><a
href="https://github.com/Lilice-r/RIW" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">NAACL-2024</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Yanhe Fu, Yanan Cao∗, Qingyue Wang,and Yi
Liu.
TISE: A Tripartite In-context Selection Method for Event Argument
Extraction. <a href="" style="color:black">[pdf]</a><a href=""
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WSDM-2024</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang,
Guanqun Bi. Generative Models for Complex Logical Reasoning over Knowledge Graphs.
 <a href="https://dl.acm.org/doi/pdf/10.1145/3616855.3635804"
style="color:black">[pdf]</a><a href="https://github.com/liuyudiy/DiffCLR"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">COLING-2024</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Yubing Ren, Yanan Cao, Hao Li, Yingjie
Li,
Zixuan Ma, Fang Fang, Ping Guo and Wei Ma. DEIE: Benchmarking Document-level Event
Information Extraction with a Large-scale Chinese News Dataset. <a
href="https://github.com/Lilice-r/DEIE" style="color:black">[pdf]</a><a
href="https://github.com/Lilice-r/DEIE" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ICASSP-2024</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Hao Li, Yanan Cao, Yubing Ren, Fang Fang,
Lanxue Zhang, Yingjie Li, Shi Wang. Sorting, Reasoning, and Extraction: an Easy-to-Hard
Reasoning Framework for Document-level Event Argument Extraction. <a
href="" style="color:black">[pdf]</a><a
href="https://github.com/hlee-top/event_extract" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">EMNLP-2023</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Hao Li, Yanan Cao, Yubing Ren, Fang Fang,
Lanxue Zhang, Yingjie Li, Shi Wang. Intra-Event and Inter-Event Dependency-Aware Graph
Network for Event Argument Extraction. <a
href="https://aclanthology.org/2023.findings-emnlp.421/"
style="color:black">[pdf]</a>
</li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">NLPCC-2023</span> <span class="badge text-bg-info rounded-pill">CCF-C</span> Yanhe Fu, Yi Liu, Yanan Cao, Yubing Ren,
Qingyue Wang, Fang Fang, Cong Cao. A Multi-granularity Similarity Enhanced Model for
Implicit Event Argument Extraction. <a
href="https://link.springer.com/chapter/10.1007/978-3-031-44696-2_8"
style="color:black">[pdf]</a><a href="github.com/LazyFyh/NLPCC23" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2023</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Yi Liu, Yuan Tian, Jianxun Lian, Xinlong
Wang,
Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang. Towards Better
Entity
Linking with Multi-View enhanced Distillation. <a
href="https://arxiv.org/abs/2305.17371" style="color:black">[pdf]</a><a
href="https://github.com/Noen61/MVD" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2023</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Yubing Ren, Yanan Cao, Ping Guo, Fang Fang,
Wei
Ma, Zheng Lin. Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid
Retrieval Augmentation. <a
href="https://aclanthology.org/2023.acl-long.17.pdf" style="color:black">[pdf]</a>
</li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2023</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen,
Yuqiang Xie, Zheng Lin, Xiaodong He. DiffusEmp: A Diffusion Model-Based Framework with
Multi-Grained Control for Empathetic Response Generation. <a
href="https://arxiv.org/abs/2306.01657" style="color:black">[pdf]</a><a
href="https://github.com/surika/DiffusEmp" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2023</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Qingyue Wang, Liang Ding, Yanan Cao, Yibing
Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo. Divide, Conquer, and Combine: Mixture of
Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. <a
href="https://arxiv.org/abs/2306.00434" style="color:black">[pdf]</a><a
href="https://github.com/qingyue2014/MoE4DST" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WWW-2023</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin
Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang. Multi-Aspect
Heterogeneous Graph Augmentation. <a
href="https://dl.acm.org/doi/pdf/10.1145/3543507.3583208"
style="color:black">[pdf]</a><a href="https://github.com/painful00/MAHGA"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">TOIS-2023</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan
Zhou, Shirui Pan, Zheng Lin, Qian Li. Explainable Hyperbolic Temporal Point Process for
User-Item Interaction Sequence Generation. <a
href="https://dl.acm.org/doi/10.1145/3570501" style="color:black">[pdf]</a><a
href="https://github.com/painful00/EHTPP" style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2022</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Ruipeng Jia, Xingxing Zhang, Yanan Cao*, Shi
Wang, Zheng Lin, Furu Wei. Neural Label Search for Zero-Shot Multi-Lingual Extractive
Summarization. <a href="https://arxiv.org/abs/2204.13512"
style="color:black">[pdf]</a><a
href="https://github.com/jiaruipeng1994/Extractive_Summarization"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WWW-2022</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Fengzhao Shi, Yanan Cao, Yanmin Shang*,
Yuchen
Zhou, Chuan Zhou, Jia Wu. H2-FDetector: A GNN-based Fraud Detector with Homophilic and
Heterophilic Connections. <a
href="https://dl.acm.org/doi/10.1145/3485447.3512195"
style="color:black">[pdf]</a><a href="https://github.com/shifengzhao/H2-FDetector"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">AAAI-2022</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi,
Fang Fang*, Yi Liu, Qian Li. How Does Knowledge Graph Embedding Extrapolate to Unseen
Data:
a Semantic Evidence View. <a href="https://arxiv.org/pdf/2109.11800.pdf"
style="color:black">[pdf]</a><a href="https://github.com/renli1024/SE-GNN"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ICDM-2022</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan
Zhou, Chuancheng Song, Fengzhao Shi, Qian Li. Task-level Relations Modelling for Graph
Meta-learning.  <a
href="https://ieeexplore.ieee.org/abstract/document/10027781"
style="color:black">[pdf]</a><a href="https://github.com/painful00/TRGM"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WWWJ-2022</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian
Li,
Chuan Zhou, Guandong Xu. API-GNN: Attribute Preserving Oriented Interactive Graph Neural
Network. <a href="https://dl.acm.org/doi/10.1007/s11280-021-00987-z"
style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">COLING-2022</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Yubing Ren, Yanan Cao, Fang Fang, Ping
Guo,
Zheng Lin, Wei Ma, Yi Liu. CLIO: Role-interactive Multi-event Head Attention Network for
Document-level Event Extraction.  <a
href="https://aclanthology.org/2022.coling-1.221.pdf" style="color:black">[pdf]</a>
</li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">COLING-2022</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Qingyue Wang, Yanan Cao, Piji Li and Li
Guo.
Slot Dependency Modeling for Zero-shot Cross-domain Dialogue State Tracking.
 <a href="https://aclanthology.org/2022.coling-1.42.pdf"
style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">IJCNN-2021</span> <span class="badge text-bg-info rounded-pill">CCF-C</span> Qingyue Wang, Yanan Cao, Junyan Jiang,
Yafang
Wang and Li Guo. Incorporating Specific Knowledge into End-to-End Task-oriented Dialogue
Systems. <a href="https://ieeexplore.ieee.org/document/9533938"
style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">AAAI-2021</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Ruipeng Jia, Yanan Cao*, Haichao Shi, Fang
Fang, Pengfei Yin, Shi Wang. Flexible Non-Autoregressive Extractive Summarization with
Threshold: How to Extract a Non-Fixed Number of Summary Sentences? <a
href="https://ojs.aaai.org/index.php/AAAI/article/view/17552"
style="color:black">[pdf]</a><a
href="https://github.com/jiaruipeng1994/Extractive_Summarization"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ACL-2021</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Ruipeng Jia, Yanan Cao*, Fang Fang, Yuchen
Zhou,
Zheng Fang, Yanbing Liu, Shi Wang. Deep Differential Amplifier for Extractive
Summarization. <a
href="https://aclanthology.org/2021.acl-long.31/?ref=https://githubhelp.com"
style="color:black">[pdf]</a><a
href="https://github.com/jiaruipeng1994/Extractive_Summarization"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ICASSP-2021</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Hengzhu Tang, Yanan Cao*, Zhenyu Zhang,
Ruipeng Jia, Fang Fang, Shi Wang. Multi-Granularity Hetegrogeneous Graph For
Document-level
Relation Extraction.</li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">EMNLP-2021</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu. TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network.</li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WWWJ-2021</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Xiaoxue Li, Yanan Cao*, Yanmin Shang,
Yangxi
Li, Qian Li, Guandong Xu. RLINK: Deep Reinforcement Learning for User Identity Linkage.
 <a href="https://arxiv.org/pdf/1910.14273.pdf"
style="color:black">[pdf]</a>
</li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">EMNLP-2020</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Ruipeng Jia, Yanan Cao*, Hengzhu Tang,
Fang
Fang, Cong Cao, Shi Wang. Neural Extractive Summarization with Hierarchical Attentive
Heterogeneous Graph Network. <a
href="https://aclanthology.org/2020.emnlp-main.295/" Style="color:black">[pdf]</a><a
href="https://github.com/jiaruipeng1994/Extractive_Summarization"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">CIKM-2020</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Ruipeng Jia, Yanan Cao*, Haichao Shi, Fang
Fang, Yanbing Liu, Jianlong Tan. DistilSum: Distilling the Knowledge for Extractive
Summarization. <a href="ttps://dl.acm.org/doi/10.1145/3340531.3412078"
Style="color:black">[pdf]</a><a
href="https://github.com/jiaruipeng1994/Extractive_Summarization"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WWW-2020</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Zheng Fang, Yanan Cao*, Ren Li, Zhenyu
Zhang,
Yanbing Liu, Shi Wang. High quality Candidate Generation and Sequential Graph Attention
Network for Entity Linking. <a
href="https://dl.acm.org/doi/abs/10.1145/3366423.3380146"
Style="color:black">[pdf]</a><a href="https://github.com/fangzheng123/SGEL"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">AAAI-2020</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Xiaoxue Li, Yanan Cao*, Yanmin Shang,
Yangxi
Li, Yanbing Liu, Jianlong Tan. Type-aware Anchor Link Prediction across Heterogeneous
Networks based on Graph Attention Network. <a
href="https://cdn.aaai.org/ojs/5345/5345-13-8570-1-10-20200508.pdf"
Style="color:black">[pdf]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">WWW-2019</span> <span class="badge text-bg-danger rounded-pill">CCF-A</span> Zheng Fang, Yanan Cao*, Qian Li, Dongjie
Zhang,
Zhenyu Zhang, Yanbing Liu. Joint Entity Linking with Deep Reinforcement Learning.
 <a href="https://github.com/fangzheng123/RLEL_2019"
style="color:black">[code]</a></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">ICME-2019</span> <span class="badge text-bg-warning rounded-pill">CCF-B</span> Yanmin Shang, Zhezhou Kang, Yanan Cao*,
Yanbing
Liu, Jianlong Tan. PAAE: A Unified Framework for Predicting Anchor Links with
Adversarial
Embedding.</li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">PAKDD-2020</span> <span class="badge text-bg-info rounded-pill">CCF-C</span> Hengzhu Tang, Yanan Cao, Zhenyu Zhang,
Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin. HIN: Hierarchical Inference Network for
Document-Level Relation Extraction. <strong>(Best Paper Award)</strong></li>
<li class="list-group-item list_ins"><span class="badge text-bg-success">KSEM-2018</span> <span class="badge text-bg-info rounded-pill">CCF-C</span> Qingyue Wang, Yanjing Song, Hao Liu, Yanan
Cao
and Li Guo. A Sequence Transformation Model for Chinese Named Entity Recognition.
 <a
href="https://link.springer.com/content/pdf/10.1007/978-3-319-99365-2_44.pdf"
style="color:black">[pdf]</a></li>
</ul>
<br>
<p style="font-size: large;"><strong>Undertaking Research Projects</strong></p>
<ul class="list-group list-group-flush">
<!-- <li class="list-group-item list_ins">1. 2018.07~2021.06, the sub-project of the National Key
R&D
Program "Precise Expert Recommendation and Recommendation Basis Visual Presentation
Technology", sub-project leader</li>
<li class="list-group-item list_ins">2. 2018.07~2021.06, the sub-project of the National Key
R&D
Program "Reliable Traceability of Scientific Research Behavior Data and Privacy
Protection
Technology", the executive director of the sub-project</li>
<li class="list-group-item list_ins">3. 2015.01~2018.12, National Natural Science Foundation
of
China Youth Fund Project "Causal Knowledge Discovery, Verification and Inference
Research
for Event Prediction", project leader</li>
<li class="list-group-item list_ins">4. 2014.01~2017.12, National Natural Science Foundation
of
China General Project "Research on the Next Generation Big Data Stream Classification
System", the backbone of the project</li>
<li class="list-group-item list_ins">5. Undertake and participate in more than 10 horizontal
projects of national departments</li> -->
</ul>
</div>
</div>
</div>
</div>
</div>
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<p>ASCII Lab, Institute of Information Engineering, Chinese Academy of
Sciences. No.19 Shucun Road,
Haidian District, Beijing, China<a
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