no code implementations • 16 Jan 2025 • Xingyu Xiao, Peng Chen, Qianqian Jia, Jiejuan Tong, Jingang Liang, Haitao Wang
To address these challenges, we propose a new paradigm for the automated collection of HRA data.
no code implementations • 24 Dec 2024 • Xingyu Xiao, Peng Chen, Ben Qi, Jingang Liang, Jiejuan Tong, Haitao Wang
As climate change and other global challenges increase the likelihood of unforeseen emergencies, the limitations of human-driven strategies in critical situations become more pronounced.
no code implementations • 29 Nov 2024 • Ruoqi Wang, Haitao Wang, Qiong Luo
Specifically, our method extends a contrastive learning architecture to align three types of data in fine-tuning: (1) a set of schematic symbols representing galaxy shapes and structures, (2) textual labels of these symbols, and (3) galaxy images.
no code implementations • 1 Mar 2024 • Ruoqi Wang, Haitao Wang, Qiong Luo, Feng Wang, Hejun Wu
This hybrid approach allows VisRec to effectively leverage both labeled and unlabeled data.
1 code implementation • 5 Feb 2024 • Zhitong Xu, Haitao Wang, Jeff M Phillips, Shandian Zhe
Second, our theoretical analysis reveals that the SE kernels failure primarily stems from improper initialization of the length-scale parameters, which are commonly used in practice but can cause gradient vanishing in training.
no code implementations • 28 Nov 2023 • Junyan Qiu, Haitao Wang, Zhaolin Hong, Yiping Yang, Qiang Liu, Xingxing Wang
The successful integration of large language models (LLMs) into recommendation systems has proven to be a major breakthrough in recent studies, paving the way for more generic and transferable recommendations.
no code implementations • 14 Aug 2023 • Zhaohui Li, Haitao Wang, Xinghua Jiang
In our experiments, we treat discrete acoustic codes as textual data and train a masked language model using a cloze-like methodology, ultimately deriving high-quality audio representations.
no code implementations • 31 May 2023 • Mao Ye, Haitao Wang, Zheqian Chen
To solve the problem of poor performance of deep neural network models due to insufficient data, a simple yet effective interpolation-based data augmentation method is proposed: MSMix (Manifold Swap Mixup).
no code implementations • 19 Dec 2022 • Chengwen Wang, Qingxiu Dong, Xiaochen Wang, Haitao Wang, Zhifang Sui
Taking the Named Entity Recognition (NER) datasets as a case study, we introduce $9$ statistical metrics for a statistical dataset evaluation framework.
no code implementations • 7 Jun 2022 • Yidong Du, Wenshuo Wang, Zhigang Wang, Hua Yang, Haitao Wang, Yinghao Cai, Ming Chen
The booming of electric vehicles demands efficient battery disassembly for recycling to be environment-friendly.
no code implementations • 28 Aug 2021 • Ruoqi Wang, Ziwang Huang, Haitao Wang, Hejun Wu
Different from previous works, AMMASurv can effectively utilize the intrinsic information within every modality and flexibly adapts to the modalities of different importance.
1 code implementation • COLING 2020 • Tong Zhu, Haitao Wang, Junjie Yu, Xiabing Zhou, Wenliang Chen, Wei zhang, Min Zhang
The experimental results show that the ranking lists of the comparison systems on the DS-labelled test data and human-annotated test data are different.
no code implementations • 9 Mar 2020 • Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi. Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin
Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks.
1 code implementation • 29 Aug 2019 • Haitao Wang, Zhengqiu He, Tong Zhu, Hao Shao, Wenliang Chen, Min Zhang
In this paper, we present the task definition, the description of data and the evaluation methodology used during this shared task.
1 code implementation • 30 Jul 2019 • Haitao Wang, Zhengqiu He, Jin Ma, Wenliang Chen, Min Zhang
Our data is the first dataset for inter-personal relationship extraction.
no code implementations • CVPR 2013 • Weiming Li, Haitao Wang, Mingcai Zhou, Shandong Wang, Shaohui Jiao, Xing Mei, Tao Hong, Hoyoung Lee, Jiyeun Kim
Based on this, 3D image artifacts are shown to be effectively removed in a test TLA-IID with challenging misalignments.
no code implementations • CVPR 2013 • Xing Mei, Xun Sun, Wei-Ming Dong, Haitao Wang, Xiaopeng Zhang
Instead of employing the minimum spanning tree (MST) and its variants, a new tree structure, "Segment-Tree", is proposed for non-local matching cost aggregation.
1 code implementation • 4 Jan 2013 • Danny Z. Chen, Jian Li, Hongyu Liang, Haitao Wang
We also consider the outlier version of the problem where a given number of vertices can be excluded as the outliers from the solution.
Data Structures and Algorithms Discrete Mathematics