2 code implementations • 22 Sep 2017 • Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
Appropriate comments of code snippets provide insight for code functionality, which are helpful for program comprehension.
no code implementations • 11 May 2018 • Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou, YUAN, QI
This model can block fraud transactions in a large amount of money each day.
no code implementations • 8 Jan 2020 • Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
Click-through rate (CTR) prediction is an essential task in industrial applications such as video recommendation.
no code implementations • 30 Jul 2020 • He Huang, Yuanwei Chen, Wei Tang, Wenhao Zheng, Qing-Guo Chen, Yao Hu, Philip Yu
On the other hand, there is a large semantic gap between seen and unseen classes in the existing multi-label classification datasets.
1 code implementation • 15 Dec 2020 • Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu
Meanwhile, such applications usually require modeling the intrinsic clusters in high-dimensional data, which usually displays heterogeneous statistical patterns as the patterns of different clusters may appear in different dimensions.
no code implementations • 21 Feb 2022 • Zhijun Zeng, Zhen Hou, Ting Li, Lei Deng, Jianguo Hou, Xinran Huang, Jun Li, Meirou Sun, Yunhan Wang, Qiyu Wu, Wenhao Zheng, Hua Jiang, Qi Wang
We develop a deep learning approach to predicting a set of ventilator parameters for a mechanically ventilated septic patient using a long and short term memory (LSTM) recurrent neural network (RNN) model.
no code implementations • 13 Mar 2022 • Han Zhang, Zihao Zhang, Wenhao Zheng, Wei Xu
A major challenge in image segmentation is classifying object boundaries.
1 code implementation • 12 Dec 2022 • Jinhong Wang, Jingwen Wang, Tingting Chen, Wenhao Zheng, Zhe Xu, Xingdi Wu, Wen Xu, Haochao Ying, Danny Chen, Jian Wu
Clinically, to assess the necessity of cataract surgery, accurately predicting postoperative VA before surgery by analyzing multi-view optical coherence tomography (OCT) images is crucially needed.
no code implementations • 3 Apr 2023 • Kai Ouyang, Wenhao Zheng, Chen Tang, Xuanji Xiao, Hai-Tao Zheng
To tackle this issue, we argue that a trade-off should be achieved between the introduction of large amounts of auxiliary information and the protection of valuable information related to CVR.
1 code implementation • 7 May 2023 • Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Chen, Jian Wu
Image ordinal regression has been mainly studied along the line of exploiting the order of categories.
no code implementations • 12 May 2023 • Kai Ouyang, Chen Tang, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Jian Dong, Hai-Tao Zheng, Zhi Wang
To address this issue, we propose using knowledge soft integration to balance the utilization of multimodal features and the curse of knowledge problem it brings about.
no code implementations • 21 Jun 2023 • Wanda Li, Wenhao Zheng, Xuanji Xiao, Suhang Wang
Our experimental results using both public and industrial datasets demonstrate that the proposed model significantly improves multi-task prediction performance compared to state-of-the-art methods, highlighting the importance of considering user lifecycle stages in recommendation systems.
1 code implementation • 9 Feb 2024 • Wenhao Zheng, Dongsheng Peng, Hongxia Xu, Hongtu Zhu, Tianfan Fu, Huaxiu Yao
To address these issues, we propose a multimodal mixture-of-experts (LIFTED) approach for clinical trial outcome prediction.