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Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets


Oct 19, 2022
Wei Dai, Daniel Berleant

* 10 pages, 11 figures, 10 tables 

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Brain Network Transformer


Oct 15, 2022
Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

* Accepted to NeurIPS 2022. The previous version is accepted for Workshop ICML-IMLH 2022 (Oral, no proceedings) 

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First Glance Diagnosis: Brain Disease Classification with Single fMRI Volume


Aug 10, 2022
Wei Dai, Ziyao Zhang, Lixia Tian, Shengyuan Yu, Shuhui Wang, Zhao Dong, Hairong Zheng


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BrainFormer: A Hybrid CNN-Transformer Model for Brain fMRI Data Classification


Aug 05, 2022
Wei Dai, Ziyao Zhang, Lixia Tian, Shengyuan Yu, Shuhui Wang, Zhao Dong, Hairong Zheng


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MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild


Aug 01, 2022
Yuanyuan Liu, Wei Dai, Chuanxu Feng, Wenbin Wang, Guanghao Yin, Jiabei Zeng, Shiguang Shan

* This paper has been accepted by ACM MM'22 

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Active Data Pattern Extraction Attacks on Generative Language Models


Jul 14, 2022
Bargav Jayaraman, Esha Ghosh, Huseyin Inan, Melissa Chase, Sambuddha Roy, Wei Dai


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Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis


Jun 30, 2022
Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang

* Formal version accepted to MICCAI 2022; previously presented at ICML 2021 Workshop on Interpretable Machine Learning in Healthcare (no proceedings) 

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Orthogonal Stochastic Configuration Networks with Adaptive Construction Parameter for Data Analytics


May 26, 2022
Wei Dai, Chuanfeng Ning, Shiyu Pei, Song Zhu, Xuesong Wang


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Data-Efficient Modeling for Precise Power Consumption Estimation of Quadrotor Operations Using Ensemble Learning


May 23, 2022
Wei Dai, Mingcheng Zhang, Kin Huat Low


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HierAttn: Effectively Learn Representations from Stage Attention and Branch Attention for Skin Lesions Diagnosis


May 22, 2022
Wei Dai, Rui Liu, Tianyi Wu, Min Wang, Jianqin Yin, Jun Liu

* The code is available at https://github.com/anthonyweidai/HierAttn 

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