Enhancing 3D Facial Expression Recognition by Exaggerating Geometry Characteristics. - Weijian Li 001; Yunhong Wang 001; Huibin Li; Di Huang 001 (CCBR, 2017)

Automatic 4D Facial Expression Recognition Using Dynamic Geometrical Image Network. - Weijian Li 001; Di Huang 001; Huibin Li; Yunhong Wang 001 (FG, 2018)

Mining the Relationship between Emoji Usage Patterns and Personality. - Weijian Li 001; Yuxiao Chen 002; Tianran Hu; Jiebo Luo 001 (ICWSM, 2018)

Uncovering download fraud activities in mobile app markets. - Yingtong Dou; Weijian Li 001; Zhirong Liu; Zhenhua Dong; Jiebo Luo 001; Philip S. Yu (ASONAM, 2019)

Attentive Relational Networks for Mapping Images to Scene Graphs. - Mengshi Qi; Weijian Li 001; Zhengyuan Yang; Yunhong Wang 001; Jiebo Luo 001 (CVPR, 2019)

Patch Transformer for Multi-tagging Whole Slide Histopathology Images. - Weijian Li 001; Viet-Duy Nguyen; Haofu Liao; Matt Wilder; Ke Cheng; Jiebo Luo 001 (MICCAI (1), 2019)

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images. - Haomin Chen; Yirui Wang 002; Kang Zheng; Weijian Li 001; Chi-Tung Chang; Adam P. Harrison; Jing Xiao 006; Gregory D. Hager; Le Lu 001; Chien-Hung Liao; Shun Miao (ECCV (23), 2020)

Structured Landmark Detection via Topology-Adapting Deep Graph Learning. - Weijian Li 001; Yuhang Lu; Kang Zheng; Haofu Liao; Chihung Lin; Jiebo Luo 001; Chi-Tung Cheng; Jing Xiao 006; Le Lu 001; Chang-Fu Kuo; Shun Miao (ECCV (9), 2020)

Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data. - Weijian Li 001; Wei Zhu 015; Earl Ray Dorsey; Jiebo Luo 001 (ICDM, 2020)

Unsupervised Learning of Facial Landmarks based on Inter-Intra Subject Consistencies. - Weijian Li 001; Haofu Liao; Shun Miao; Le Lu 001; Jiebo Luo 001 (ICPR, 2020)

Learning to Segment Anatomical Structures Accurately from One Exemplar. - Yuhang Lu; Weijian Li 001; Kang Zheng; Yirui Wang 002; Adam P. Harrison; Chihung Lin; Song Wang 002; Jing Xiao 006; Le Lu 001; Chang-Fu Kuo; Shun Miao (MICCAI (1), 2020)

Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification. - Wei Zhu 015; Haofu Liao; Wenbin Li 006; Weijian Li 001; Jiebo Luo 001 (MICCAI (6), 2020)

Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies. - Weijian Li 001; Haofu Liao; Shun Miao; Le Lu 001; Jiebo Luo 001 (CoRR, 2020)

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images. - Haomin Chen; Yirui Wang 002; Kang Zheng; Weijian Li 001; Chi-Tung Cheng; Adam P. Harrison; Jing Xiao 006; Gregory D. Hager; Le Lu 001; Chien-Hung Liao; Shun Miao (CoRR, 2020)

Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization. - Wei Zhu 015; Haitian Zheng; Haofu Liao; Weijian Li 001; Jiebo Luo 001 (ICCV, 2021)

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. - Xiao-Yun Zhou 001; Bolin Lai; Weijian Li 001; Yirui Wang 002; Kang Zheng; Fakai Wang; Chihung Lin; Le Lu 001; Lingyun Huang; Mei Han; Guotong Xie; Jing Xiao 006; et al. (DGM4MICCAI/DALI@MICCAI, 2021)

Contour Transformer Network for One-Shot Segmentation of Anatomical Structures. - Yuhang Lu; Kang Zheng; Weijian Li 001; Yirui Wang 002; Adam P. Harrison; Chihung Lin; Song Wang 002; Jing Xiao 006; Le Lu 001; Chang-Fu Kuo; Shun Miao (IEEE Trans. Medical Imaging, 2021)

Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications. - Junda Wang; Weijian Li 001; Han Wang; Hanjia Lyu; Caroline Thirukumaran; Addisu Mesfin; Jiebo Luo 001 (CoRR, 2022)

Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding. - Pengfei Zhu 001; Mengshi Qi; Xia Li; Weijian Li 001; Huadong Ma (ICCV, 2023)

Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones. - Weijian Li 001; Wei Zhu 015; Earl Ray Dorsey; Jiebo Luo 001 (ICDH, 2023)

Unsupervised anomaly detection by densely contrastive learning for time series data. - Wei Zhu 015; Weijian Li 001; Earl Ray Dorsey; Jiebo Luo 001 (Neural Networks, 2023)

CRTRE: Causal Rule Generation with Target Trial Emulation Framework. - Junda Wang; Weijian Li 001; Han Wang; Hanjia Lyu; Caroline Thirukumaran; Addisu Mesfin; Hong Yu; Jiebo Luo 001 (IEEE Big Data, 2024)