Weicheng Zhu

According to our database, Weicheng Zhu authored at least 12 papers between 2016 and 2024.

Collaborative distances:

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

2024

A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction.

Qidong Yang, Weicheng Zhu, Joseph Keslin, Laure Zanna, Tim G. J. Rudner, Carlos Fernandez-Granda

CoRR, 2024

2023

Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling.

Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian

CoRR, 2023

Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning.

Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Motion planning in complex urban environments: An industrial application on autonomous last-mile delivery vehicles.

Haiming Wang, Liangliang Zhang, Qi Kong, Weicheng Zhu, Jie Zheng, Li Zhuang, Xin Xu

J. Field Robotics, 2022

Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning.

Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Deep Probability Estimation.

Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda

Proceedings of the International Conference on Machine Learning, 2022

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations.

Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Probability Estimation.

Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda

CoRR, 2021

Variationally regularized graph-based representation learning for electronic health records.

Weicheng Zhu, Narges Razavian

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2019

Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease.

Weicheng Zhu, Narges Razavian

CoRR, 2019

2018

Baidu Apollo EM Motion Planner.

Haoyang Fan, Fan Zhu, Changchun Liu, Liangliang Zhang, Li Zhuang, Dong Li, Weicheng Zhu, Jiangtao Hu, Hongye Li, Qi Kong

CoRR, 2018

2016

Variational hybridization and transformation for large inaccurate noisy-or networks.

Yusheng Xie, Nan Du, Wei Fan, Jing Zhai, Weicheng Zhu

CoRR, 2016