1 code implementation • 19 Mar 2024 • Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang, Wei Lin
The task of financial analysis primarily encompasses two key areas: stock trend prediction and the corresponding financial question answering.
no code implementations • 22 May 2023 • Hongbin Lin, Mingkui Tan, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Dong Liu, Qing Du, Yanxia Liu
To address this issue, we study a more practical SF-UDA task, termed imbalance-agnostic SF-UDA, where the class distributions of both the unseen source domain and unlabeled target domain are unknown and could be arbitrarily skewed.
1 code implementation • CVPR 2023 • Gang Dai, Yifan Zhang, Qingfeng Wang, Qing Du, Zhuliang Yu, Zhuoman Liu, Shuangping Huang
In light of this, we propose to disentangle the style representations at both writer and character levels from individual handwritings to synthesize realistic stylized online handwritten characters.
1 code implementation • CVPR 2022 • Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang
Recently, a surge of interest in visual transformers is to reduce the computational cost by limiting the calculation of self-attention to a local window.
1 code implementation • Neurocomputing 2021 • Minqian Liu, Lizhao Liu, Junyi Cao, Qing Du
To alleviate this issue, label embedding frameworks are proposed to adopt the label-to-text attention that directly uses label information to construct the text representation for more efficient text classification.
Ranked #2 on Multi-Label Text Classification on AAPD (Micro F1 metric)
1 code implementation • 18 Jun 2021 • Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan
(2) prototype adaptation: based on the generated source prototypes and target pseudo labels, we develop a new robust contrastive prototype adaptation strategy to align each pseudo-labeled target data to the corresponding source prototypes.
Ranked #12 on Domain Adaptation on VisDA2017
1 code implementation • CVPR 2021 • Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu
This task, however, is very challenging because an image often contains complex texts and visual information that is hard to be described comprehensively.
1 code implementation • 7 Aug 2020 • Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan
In this work, we propose to represent the contents in the video as a location-aware graph by incorporating the location information of an object into the graph construction.
no code implementations • 1 Mar 2020 • JieZhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
However, the resultant optimization problem is still intractable.
1 code implementation • 6 Nov 2016 • Yong Guo, Jian Chen, Qing Du, Anton Van Den Hengel, Qinfeng Shi, Mingkui Tan
As a result, the representation power of intermediate layers can be very weak and the model becomes very redundant with limited performance.