no code implementations • Findings (EMNLP) 2021 • Shichao Wang, Xiangrui Cai, Hongbin Wang, Xiaojie Yuan
We also introduce a regularization of attention weights to leverage the alignment between events and local circumstances.
1 code implementation • 17 Mar 2024 • Tianhao Huang, Xuan Pan, Xiangrui Cai, Ying Zhang, Xiaojie Yuan
The comprehensive experimental results demonstrate the superiority of MTNet over ten state-of-the-art next POI recommendation models across three real-world LBSN datasets, substantiating the efficacy of time slot preference learning facilitated by Mobility Tree.
1 code implementation • 14 Mar 2024 • Xiangrui Cai, Yang Wang, Sihan Xu, Hao Li, Ying Zhang, Zheli Liu, Xiaojie Yuan
Moreover, LAN can be also applied to post-hoc ITD, surpassing 8 competitive baselines by at least 7. 70% and 4. 03% in AUC on two datasets.
1 code implementation • 19 May 2023 • Yu Zhao, Yike Wu, Xiangrui Cai, Ying Zhang, Haiwei Zhang, Xiaojie Yuan
Our approach captures the unified correlation pattern of two kinds of information between entities, and explicitly models the fine-grained interaction between original entity information.
1 code implementation • 27 Nov 2022 • Xiangrui Cai, Haidong Xu, Sihan Xu, Ying Zhang, Xiaojie Yuan
To address this challenge, we propose BadPrompt, a lightweight and task-adaptive algorithm, to backdoor attack continuous prompts.
1 code implementation • 17 Oct 2022 • Yu Zhao, Xiangrui Cai, Yike Wu, Haiwei Zhang, Ying Zhang, Guoqing Zhao, Ning Jiang
Based on these embeddings, in the inference phase, we first make modality-split predictions and then exploit various ensemble methods to combine the predictions with different weights, which models the modality importance dynamically.
1 code implementation • ACL 2021 • Baohang Zhou, Xiangrui Cai, Ying Zhang, Xiaojie Yuan
Medical named entity recognition (NER) and normalization (NEN) are fundamental for constructing knowledge graphs and building QA systems.
no code implementations • Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) 2019 • Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan
The missing values, appear in most of multivariate time series, prevent advanced analysis of multivariate time series data.
Generative Adversarial Network Multivariate Time Series Imputation +2
no code implementations • NeurIPS 2018 • Yonghong Luo, Xiangrui Cai, Ying Zhang, Jun Xu, Yuan Xiaojie
Multivariate time series usually contain a large number of missing values, which hinders the application of advanced analysis methods on multivariate time series data.
1 code implementation • 6 Jun 2018 • Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan
Embeddings of medical concepts such as medication, procedure and diagnosis codes in Electronic Medical Records (EMRs) are central to healthcare analytics.