南开大学
计算机学院

数据库与信息系统研究室

Xiangrui Cai(蔡祥睿)
Xiangrui Cai received his Ph.D. degree from Nankai University, China, supervised by Prof. Xiaojie Yuan. During 2015 to 2017, he studied in National University of Singapore, Singapore, advised by Prof. Beng Chin Ooi. He is currently a lecturer with the College of Computer Science, Nankai University. His main research interests include time series analysis, trustworthy AI and natural language processing.

Database and Information System Lab (DBIS)
Colledge of Computer Science,Nankai University

News |Research Interest |Service and Activities |Publications |Awards

Email: caixr@nankai.edu.cn

News

  • [2022.10] A paper is accepted by EMNLP!
  • [2022.09] A paper is accepted by NeurIPS!
  • [2022.08] A paper is accepted by CIKM!
  • [2022.07] A paper is accepted by ISWC!

Research Interest

  • Time Series Analysis
  • Trustworthy AI
  • Natural Language Processing

Service and Activities

Program Committee Member

  • NeurIPS / AAAI / IJCAI / ACL / EMNLP / CKIM / NLPCC

Selected Publications

    [21] Yu Zhao, Xiangrui Cai*, Yike Wu, Haiwei Zhang, Guoqing Zhao, Ning Jiang
    MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion, EMNLP, 2022.

    [20] Xiangrui Cai, Haidong Xu, Sihan Xu, Ying Zhang, Xiaojie Yuan
    BadPrompt: Backdoor Attacks on Continuous Prompts, NeurIPS, 2022.

    [19] Mei Li, Xiangrui Cai*, Linyu Li, Sihan Xu, Hua Ji
    Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction, CIKM, 2022.

    [18] Shichao Wang, Xiangrui Cai*, Ying Zhang and Xiaojie Yuan
    CRNet: Modeling Concurrent Events over Temporal Knowledge Graphs, ISWC, 2022.

    [17] Xiangrui Cai, Jinsheng Tao, Shichao Wang, Zhiyu Wang, Jiaxian Wang, Mei Li, Hong Wang, Xixiang Tu, Hao Yang, Jian-Bing Fan, Hua Ji
    Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning, AAAI, 2022.

    [16] Yuhao Zhang, Ying Zhang, Wenya Guo, Xiangrui Cai, Xiaojie Yuan
    Learning Disentangled Representation for Multimodal Cross-Domain Sentiment Analysis, TNNLS, 2022.

    [15] Xuan Pan, Xiangrui Cai*, Kehui Song, Thar Baker*, Thippa Reddy Gadekallu, Xiaojie Yuan
    Location Recommendation Based on Mobility Graph With Individual and Group Influences, TITS, 2022.

    [14] Sihan Xu, Zhiyu Wang, Lingling Fan, Xiangrui Cai, Hua Ji, Siau-Cheng Khoo, Brij Bhooshan Gupta
    DeepSuite: A Test Suite Optimizer for Autonomous Vehicles, TITS, 2022.

    [13] Shichao Wang, Xiangrui Cai*, Hongbin Wang, Xiaojie Yuan
    Incorporating Circumstances into Narrative Event Prediction, DASFAA, 2021.

    [12] Kehui Song, Shenglong Yu, Haiwei Zhang, Ying Zhang, Xiangrui Cai, Xiaojie Yuan
    A decision support system for heart failure risk prediction based on weighted naive Bayes, DASFAA, 2021.

    [11] Jiawei Ouyang, Yuhao Zhang, Xiangrui Cai*, Ying Zhang, Xiaojie Yuan
    ImputeRNN: Imputing Missing Values in Electronic Medical Records, DASFAA, 2021.

    [10] Xuan Pan, Xiangrui Cai*, Jiangwei Zhang, Yanlong Wen, Ying Zhang, Xiaojie Yuan
    STMG: Spatial-Temporal Mobility Graph for Location Prediction DASFAA, 2021.

    [9] Baohang Zhou, Xiangrui Cai, Ying Zhang, Wenya Guo, Xiaojie Yuan
    MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization, AAAI, 2021.

    [8] Baohang Zhou, Xiangrui Cai, Ying Zhang, Xiaojie Yuan
    An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization, ACL, 2021.

    [7] Yuhao Zhang, Xiangrui Cai*, Ying Zhang, Hong Kang, Xin Ji, Xiaojie Yuan
    TAU: Transferable Attention U-Net for Optic Disc and Cup Segmentation, KBS, 2021.

    [6] Wenya Guo, Ying Zhang, Xiangrui Cai, Lei Meng, Jufeng Yang, Xiaojie Yuan
    LD-MAN: Layout-Driven Multimodal Attention Network for Online News Sentiment Recognition, TMM, 2021.

    [5] Wenya Guo, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai, Xiaojie Yuan
    Re-Attention for Visual Question Answering, AAAI, 2020.

    [4] Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan,
    E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation, IJCAI, 2019.

    [3] Xiangrui Cai, Yonghong Luo, Ying Zhang, Xiaojie Yuan
    On the Impact of the Length of Subword Vectors on Word Embeddings, DASFAA, 2019.

    [2] Yonghong Luo, Xiangrui Cai, Ying Zhang, Jun Xu, Xiaojie Yuan
    Multivariate Time Series Imputation with Generative Adversarial Networks, NeurIPS, 2018.

    [1] Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan
    Medical Concept Embedding with Time-Aware Attention, IJCAI, 2018.

Current and Former Students

  • Minxuan Zhou
  • Yang Wang
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