1 code implementation • 24 Sep 2023 • Runkai Zhao, Yuwen Heng, Heng Wang, Yuanda Gao, Shilei Liu, Changhao Yao, Jiawen Chen, Weidong Cai
Advanced Driver-Assistance Systems (ADAS) have successfully integrated learning-based techniques into vehicle perception and decision-making.
no code implementations • 4 Nov 2022 • Yin Zhu, Qiuqiang Kong, Junjie Shi, Shilei Liu, Xuzhou Ye, Ju-Chiang Wang, Junping Zhang
Binaural rendering of ambisonic signals is of broad interest to virtual reality and immersive media.
1 code implementation • 1 Jul 2022 • Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma
In this paper, we propose an understanding-oriented machine reading comprehension model to address three kinds of robustness issues, which are over sensitivity, over stability and generalization.
no code implementations • 25 Feb 2022 • Feiliang Ren, Yongkang Liu, Bochao Li, Zhibo Wang, Yu Guo, Shilei Liu, Huimin Wu, Jiaqi Wang, Chunchao Liu, Bingchao Wang
Most existing multi-document machine reading comprehension models mainly focus on understanding the interactions between the input question and documents, but ignore following two kinds of understandings.
1 code implementation • 9 Dec 2021 • Feiliang Ren, Longhui Zhang, Xiaofeng Zhao, Shujuan Yin, Shilei Liu, Bochao Li
Moreover, experiments show that both the proposed bidirectional extraction framework and the share-aware learning mechanism have good adaptability and can be used to improve the performance of other tagging based methods.
1 code implementation • EMNLP 2021 • Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li, Yaduo Liu
Next, the mined global associations are integrated into the table feature of each relation.
1 code implementation • EMNLP 2021 • Shilei Liu, Xiaofeng Zhao, Bochao Li, Feiliang Ren, Longhui Zhang, Shujuan Yin
Neural conversation models have shown great potentials towards generating fluent and informative responses by introducing external background knowledge.
no code implementations • 31 Aug 2021 • Shilei Liu, Xiaofeng Zhao, Bochao Li, Feiliang Ren
Knowledge-grounded dialogue is a task of generating a fluent and informative response based on both conversation context and a collection of external knowledge, in which knowledge selection plays an important role and attracts more and more research interest.
1 code implementation • 20 Aug 2021 • Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li
Tagging based methods are one of the mainstream methods in relational triple extraction.
no code implementations • COLING 2020 • Feiliang Ren, Juchen Li, Huihui Zhang, Shilei Liu, Bochao Li, Ruicheng Ming, Yujia Bai
To address this issue, we propose a simple but effective atrous convolution based knowledge graph embedding method.
Ranked #1 on Knowledge Graph Embedding on FB15k
no code implementations • SEMEVAL 2020 • Shilei Liu, Yu Guo, Bochao Li, Feiliang Ren
This paper describes our submission to subtask a and b of SemEval-2020 Task 4.
no code implementations • 28 Feb 2018 • Guoxiong Xu, Zhengfei Wang, Hongshi Huang, Wenxin Li, Can Liu, Shilei Liu
Here, we propose a model using convolutional neural network based on plantar pressure for medical diagnosis.
no code implementations • 17 Dec 2016 • Liao Ni, Yi Zhang, He Zheng, Shilei Liu, Houjun Huang, Wenxin Li
Our work is first to define decision reliability ratio to quantify this confidence, and then propose the Maximum Decision Reliability Ratio (MDRR) fusion method incorporating Weighted Voting.