Search Results for author: Wenhao Zheng

Found 15 papers, 7 papers with code

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

1 code implementation10 Jun 2024 Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, ZongYuan Ge, Gang Li, James Zou, Huaxiu Yao

Artificial intelligence has significantly impacted medical applications, particularly with the advent of Medical Large Vision Language Models (Med-LVLMs), sparking optimism for the future of automated and personalized healthcare.

Fairness

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

1 code implementation10 Jun 2024 Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, ZongYuan Ge

Subsequently, to improve the robustness of the decoupled representations, class and domain prototypes are employed to interpolate the disentangled representations while data-aware weights are designed to focus on rare classes and domains.

Multimodal Clinical Trial Outcome Prediction with Large Language Models

1 code implementation9 Feb 2024 Wenhao Zheng, Dongsheng Peng, Hongxia Xu, Yun Li, Hongtu Zhu, Tianfan Fu, Huaxiu Yao

To address these issues, we propose a multimodal mixture-of-experts (LIFTED) approach for clinical trial outcome prediction.

STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation

no code implementations21 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.

Multi-Task Learning Recommendation Systems

Knowledge Soft Integration for Multimodal Recommendation

no code implementations12 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.

Graph Neural Network Multimodal Recommendation +1

Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation

no code implementations3 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.

Multi-Task Learning

CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction

1 code implementation12 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.

regression

A Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients

no code implementations21 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.

Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework

1 code implementation15 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.

Anomaly Detection Fraud Detection

Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge

no code implementations30 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.

Classification General Classification +3

Code Attention: Translating Code to Comments by Exploiting Domain Features

2 code implementations22 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.

Comment Generation

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