Weijian Li

According to our database, Weijian Li authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CRTRE: Causal Rule Generation with Target Trial Emulation Framework.

Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Hong Yu, Jiebo Luo

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Unsupervised anomaly detection by densely contrastive learning for time series data.

Wei Zhu, Weijian Li, Earl Ray Dorsey, Jiebo Luo

Neural Networks, November, 2023

Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones.

Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo

Proceedings of the IEEE International Conference on Digital Health, 2023

Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding.

Pengfei Zhu, Mengshi Qi, Xia Li, Weijian Li, Huadong Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications.

Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Jiebo Luo

CoRR, 2022

2021

Contour Transformer Network for One-Shot Segmentation of Anatomical Structures.

Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

IEEE Trans. Medical Imaging, 2021

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph.

Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization.

Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images.

Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Cheng, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao

CoRR, 2020

Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies.

Weijian Li, Haofu Liao, Shun Miao, Le Lu, Jiebo Luo

CoRR, 2020

Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification.

Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning to Segment Anatomical Structures Accurately from One Exemplar.

Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Unsupervised Learning of Facial Landmarks based on Inter-Intra Subject Consistencies.

Weijian Li, Haofu Liao, Shun Miao, Le Lu, Jiebo Luo

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data.

Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Structured Landmark Detection via Topology-Adapting Deep Graph Learning.

Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

Proceedings of the Computer Vision - ECCV 2020, 2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images.

Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Patch Transformer for Multi-tagging Whole Slide Histopathology Images.

Weijian Li, Viet-Duy Nguyen, Haofu Liao, Matt Wilder, Ke Cheng, Jiebo Luo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Attentive Relational Networks for Mapping Images to Scene Graphs.

Mengshi Qi, Weijian Li, Zhengyuan Yang, Yunhong Wang, Jiebo Luo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Uncovering download fraud activities in mobile app markets.

Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Mining the Relationship between Emoji Usage Patterns and Personality.

Weijian Li, Yuxiao Chen, Tianran Hu, Jiebo Luo

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Automatic 4D Facial Expression Recognition Using Dynamic Geometrical Image Network.

Weijian Li, Di Huang, Huibin Li, Yunhong Wang

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017

Enhancing 3D Facial Expression Recognition by Exaggerating Geometry Characteristics.

Weijian Li, Yunhong Wang, Huibin Li, Di Huang

Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017