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
Email: caixr@nankai.edu.cn
Program Committee Member
[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.