I am an assistant professor with Singapore Management University. Before that, I was a research assistant professor of Nanyang Technology University. I also was a research fellow with NExT++, National University of Singapore (NUS). I received my Ph.D. in Computer Science from Tsinghua University in 2018. My research interests span natural language processing, knowledge graph and recommendation. Various part of my work have been published in top conferences, such as ACL, EMNLP, COLING and WWW. Moreover, I have served as PC member for several conferences including ACL, EMNLP, NAACL, AAAI, IJCAI, and NeurIPs, and as reviewers for journals including TPAMI, TKDE, TKDD, and TASLP.

I am looking for highly motivated PhD students and other type of research staff, feel free to drop me your CV.

SMU is ranked No. 48 in the broad AI category in CSRanking and No. 118 in Computer Science and Information System in QSRanking.

Publications [Google Scholar] [DBLP]

2022

  • DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction. Meihan Tong, Bin Xu, Shuai Wang, Meihuan Han, Yixin Cao, Jiangqi Zhu, Siyu Chen, Lei Hou, Juanzi Li. NAACL2022.

  • What Makes The Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation. Lin Li, Yixin Cao, Lifu Huang, Shu'ang Li, Lijie Wen. SIGIR2022.

  • MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. Yubo Ma†, Zehao Wang†, Mukai Li†, Yixin Cao†, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao. ACL2022 Demo.

  • Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. Xin Lv, Yankai Lin, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou. ACL2022 Finding.

  • Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. Yubo Ma† , Zehao Wang† , Yixin Cao*, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao. ACL2022.

  • Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning. Bing Tian, Yixin Cao, Yong Zhang, Chunxiao Xing. AAAI2022.

2021

  • Missing Data Imputation for Solar Yield Prediction using Temporal Multi-Modal Variational Auto-Encoder. Meng Shen, Huaizheng Zhang, Yixin Cao, Fan Yang, Yonggang Wen. MM2021.

  • Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. Xin Lv, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Yichi Zhang, Zelin Dai. EMNLP2021.

  • Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction. Yixin Cao, Kuang Jun, Ming Gao, Aoying Zhou, Yonggang Wen and Tat-Seng Chua. TKDE2021.

  • Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen and Hanwang Zhang. ACL2021.

  • How does Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. Zikun Hu, Yixin Cao*, Lifu Huang and Tat-Seng Chua. ACL2021.

  • Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition. Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou and Juanzi Li. ACL2021.

2020

  • Exploring and Evaluating Attributes, Values, and Structure for Entity Alignment. Zhiyuan Liu, Yixin Cao*, Liangming Pan, Juanzi Li, Zhiyuan Liu and Tat-Seng Chua. EMNLP2020.

  • Tree-augmented Cross-Modal Encoding for Complex-Query Video Retrieval. Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang and Tat-Seng Chua. SIGIR2020.

  • Expertise Style Transfer A New Task Towards Better Communication between Experts and Laymen. Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu and Tat-Seng Chua. ACL2020.

  • Improving Event Detection via Open-domain Event Trigger Knowledge. Mei Han Tong, Shuai Wang, Yixin Cao*, Bin Xu, Lei Hou, Juanzi Li and Jun Xie. ACL2020.

  • Reinforced Negative Sampling over Knowledge Graph for Recommendation. Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang and Tat-Seng Chua. WWW2020.

  • Image Enchanced Event Detection in News Articles. Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua. AAAI2020.

  • DSEL: A Domain-specific Entity Linking System. Xinru Zhang, Huifang Xu, Yixin Cao*, Yuanpeng Tan, Lei Hou, Juanzi Li, Jiaxin Shi. JIST2020.

  • Improving Neural Relation Extraction with Implicit Mutual Relations. Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou. ICDE2020.

2019

  • Low-Resource Name Tagging Learned with Weakly Labeled Data. Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu and Heng Ji. EMNLP2019.

  • Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. Chengjiang Li, Yixin Cao*, Lei Hou, Jiaxin Shi, Juanzi Li and Tat-Seng Chua. EMNLP2019.

  • Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media. Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao and Tat-seng Chua. MM2019.

  • Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha. SIGIR2019.

  • Explainable reasoning over knowledge graphs for recommendation. Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua. AAAI2019.

  • Multi-Channel Graph Neural Network for Entity Alignment. Yixin Cao, Zhiyuan Liu, Chengjiang Li, Juanzi Li, Tat-Seng Chua. ACL2019.

  • KGAT: Knowledge Graph Attention Network for Recommendation. Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua. KDD2019.

  • Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua. WWW2019.

2018

  • Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong. EMNLP2018.

  • Neural collective entity linking. Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu. COLING2018.

  • Category Multi-Representation: A Unified Solution for Named Entity Recognition in Clinical Texts. Jiangtao Zhang, Juanzi Li, Shuai Wang, Yan Zhang, Yixin Cao, Lei Hou, Xiao-Li Li. PAKDD2018.

  • Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition. Jiangtao Zhang, Juanzi Li, Xiao-Li Li, Yixin Cao, Lei Hou, Shuai Wang. DASFAA2018.

  • Sequential recommendation with user memory networks. Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha. WSDM2018.

2017

  • On Modeling Sense Relatedness in Multi-prototype Word Embedding. Yixin Cao, Jiaxin Shi, Juanzi Li, Zhiyuan Liu, Chengjiang Li. IJCNLP2017.

  • XLink: An unsupervised bilingual entity linking system. Jing Zhang, Yixin Cao, Lei Hou, Juanzi Li, Hai-Tao Zheng. CCL2017.

  • Bridge text and knowledge by learning multi-prototype entity mention embedding. Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, Juanzi Li. ACL2017.

2015

  • Target Detection and Knowledge Learning for Domain Restricted Question Answering. Mengdi Zhang, Tao Huang, Yixin Cao, Lei Hou. NLPCC2015.

  • Name list only? target entity disambiguation in short texts. Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji, Jie Tang. EMNLP2015.

Invited Talk

Self-guided Universal Knowledge Graph Construction. [Slides]

  • HIT, Oct, 2021

  • UIUC, Sep, 2021

  • SMU, Aug, 2021

Domain Specific Knowledge Graph Construction: Towards Wellness Applications

  • NExT++ workshop, NUS, Singapore, 2019.

  • 6Estates, Singapore, 2018.

Professional Services

Editorial Board: Frontiers in Big Data

Senior Program Committee Member of IJCAI 2021.

Program Committee Member of ICLR 2022.

Program Committee Member of ICML 2021.

Program Committee Member of WWW 2021, 2022.

Program Committee Member of AAAI 2020, 2021, 2022

Program Committee Member of NeurIPs 2020, 2021

Program Committee Member of COLING 2020.

Program Committee Member of EMNLP 2019, 2020, 2021

Program Committee Member of ACL 2019, 2020, 2021

Program Committee Member of NAACL 2019. 2020, 2021

Program Committee Member of CCKS 2019, 2020, 2021

Program Committee Member of NLPCC 2020, 2021

Program Committee Member of ICKG 2019.

Program Committee Member of IJCKG 2021.

Invited Reviewer of TPAMI, TACL, TKDE, TOIS, TASLP, TKDD, IEEE Access, Neural Computing.

Education & Experience

Postdoc Research Fellow, National University of Singapore, Singapore, Jul 2018 - Present.

Advisor: Prof. Chua Tat-Seng (NExT: NUS-Tsinghua Extreme Search Center)

Visting Scholar, Rensselaer Polytechnic Institute, Troy, NY, U.S.A. Dec 2016 - Jun 2017.

Advisor: Prof. Heng Ji

PhD, Tsinghua University, Beijing, China. Sep 2013 - Jul 2018.

Advisor: Prof. Juanzi Li

Master, Beijing Institute of Technology, Beijing China. Sep 2009 - Mar 2012.

Advisor: Prof. Qinghe Wu

Bachelor, Nanchang University, Nanchang, China, Sep 2005 - Jul 2009.

News

Apr. 07, 2022

Our paper is accepted by NAACL2022 about fine-grained event extraction!

Mar. 31, 2022

Our paper is accepted by SIGIR2022 about explainable next event generation!

Feb. 23, 2022

Three papers are accepted by ACL2022 about event extraction, event KG, and KG embedding!

Nov. 29, 2021

Our paper is accepted by AAAI2022 about debiasing NLI!

Sep. 10, 2021

Our paper is accepted by EMNLP2021 about evaluating the quality and explainability of KG reasoning!

Jul. 10, 2021

Our paper is accepted by MM2021 about missing data imputation!

Jun. 28, 2021

Our paper is accepted by TKDE2021 about Long-tail Relation Extraction!

May. 07, 2021

Three papers are accepted by ACL2021 about KG completion, Relation Extraction and Few-shot Named Entity Recognition!

Sep. 18, 2020

One paper is accepted by EMNLP2020 about Entity Alignment!

Apr 22, 2020

One paper is accepted by SIGIR2020 about Cross-Modal Retrieval!

Apr 4, 2020

Two papers are accepted by ACL2020 about Event Extraction and Expertise Style Transfer!

Jan 11, 2020

One paper is accepted by WWW2020 about Knowledge Graph based Recommendation!

Nov 11, 2019

One paper is accepted by AAAI2020 about Multi-modal Event Extraction!

Oct 28, 2019

One paper is accepted by JIST2019 about domain specific entity linking!

Oct 02, 2019

One paper is accepted by ICDE2020 about Relation Extraction!

Aug 16, 2019

Two papers are accepted by EMNLP2019 about Entity Alignment and NER!