Kangning Liu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Top Venues

IEEE Trans. Engineering Management

Publications

Liuliu Xu, Dingqiang Fan, Kangning Liu, Wangyang Xu, Rui Yu
A machine learning framework for intelligent development of Ultra-High performance concrete (UHPC): From dataset cleaning to performance predicting. Expert Syst. Appl. 242 (2024)
Jianyao Jia, Guofeng Ma, Hongyang Li, Jiyong Ding, Kangning Liu
Social Power Antecedents of Knowledge Sharing in Project-Oriented Online Communities. IEEE Trans. Engineering Management 71 (2024)
Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda
Quantifying impairment and disease severity using AI models trained on healthy subjects. npj Digit. Medicine 7 (1) (2024)
Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects. CoRR (2023)
Kangning Liu, Yu-Chuan Su, Wei Hong, Ruijin Cang, Xuhui Jia
Controllable One-Shot Face Video Synthesis With Semantic Aware Prior. CoRR (2023)
Jinglian Tian, Yongzhong Tian, Yan Cao, Wenhao Wan, Kangning Liu
Research on Rice Fields Extraction by NDVI Difference Method Based on Sentinel Data. Sensors 23 (13) (2023)
Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CVPR (2023)
Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
Are All Losses Created Equal: A Neural Collapse Perspective. CoRR (2022)
Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
Are All Losses Created Equal: A Neural Collapse Perspective. NeurIPS (2022)
Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
StrokeRehab: A Benchmark Dataset for Sub-second Action Identification. NeurIPS (2022)
Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CVPR (2022)
Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CoRR (2022)
Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. CoRR (2021)
Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Piotr Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. MIDL (2021)
Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. Medical Image Anal. 68 (2021)
Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Sebastian Flassbeck, Cem Gultekin, Carlos Fernandez-Granda, Jakob Assländer
Cramér-Rao bound-informed training of neural networks for quantitative MRI. CoRR (2021)
Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. CoRR (2021)
Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. WACV (2021)
Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CoRR (2021)
Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. CoRR (2020)
Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. CoRR (2020)