Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. - Kangning Liu; Yiqiu Shen; Nan Wu; Jakub Piotr Chledowski; Carlos Fernandez-Granda; Krzysztof J. Geras (MIDL, 2021)

Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. - Kangning Liu; Shuhang Gu; Andrés Romero; Radu Timofte (WACV, 2021)

Cramér-Rao bound-informed training of neural networks for quantitative MRI. - Xiaoxia Zhang; Quentin Duchemin; Kangning Liu; Sebastian Flassbeck; Cem Gultekin; Carlos Fernandez-Granda; Jakob Assländer (CoRR, 2021)

Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. - Aakash Kaku; Kangning Liu; Avinash Parnandi 001; Haresh Rengaraj Rajamohan; Kannan Venkataramanan; Anita Venkatesan; Audre Wirtanen; Natasha Pandit; Heidi M. Schambra; Carlos Fernandez-Granda (CoRR, 2021)

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. - Yiqiu Shen; Nan Wu; Jason Phang; Jungkyu Park 001; Kangning Liu; Sudarshini Tyagi; Laura Heacock; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (Medical Image Anal., 2021)

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. - Sheng Liu; Kangning Liu; Weicheng Zhu; Yiqiu Shen; Carlos Fernandez-Granda (CVPR, 2022)

StrokeRehab: A Benchmark Dataset for Sub-second Action Identification. - Aakash Kaku; Kangning Liu; Avinash Parnandi 001; Haresh Rengaraj Rajamohan; Kannan Venkataramanan; Anita Venkatesan; Audre Wirtanen; Natasha Pandit; Heidi M. Schambra; Carlos Fernandez-Granda (NeurIPS, 2022)

Are All Losses Created Equal: A Neural Collapse Perspective. - Jinxin Zhou; Chong You; Xiao Li 026; Kangning Liu; Sheng Liu; Qing Qu 001; Zhihui Zhu (NeurIPS, 2022)

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 (CVPR, 2023)

Controllable One-Shot Face Video Synthesis With Semantic Aware Prior. - Kangning Liu; Yu-Chuan Su; Wei Hong; Ruijin Cang; Xuhui Jia (CoRR, 2023)

Research on Rice Fields Extraction by NDVI Difference Method Based on Sentinel Data. - Jinglian Tian; Yongzhong Tian; Yan Cao; Wenhao Wan; Kangning Liu (Sensors, 2023)

Uncertainty-aware Fine-tuning of Segmentation Foundation Models. - Kangning Liu; Brian L. Price; Jason Kuen; Yifei Fan; Zijun Wei; Luis Figueroa; Krzysztof J. Geras; Carlos Fernandez-Granda (NeurIPS, 2024)

Multi-modal AI for comprehensive breast cancer prognostication. - Jan Witowski; Ken Zeng; Joseph Cappadona; Jailan Elayoubi; Elena Diana Chiru; Nancy Chan; Young-Joon Kang; Frederick Howard; Irina Ostrovnaya; Carlos Fernandez-Granda; Freya Schnabel; Ugur Ozerdem; et al. (CoRR, 2024)

AutoGLM: Autonomous Foundation Agents for GUIs. - Xiao Liu 036; Bo Qin; Dongzhu Liang; Guang Dong; Hanyu Lai; Hanchen Zhang; Hanlin Zhao; Iat Long Iong; Jiadai Sun; Jiaqi Wang; Junjie Gao; Junjun Shan; et al. (CoRR, 2024)

A machine learning framework for intelligent development of Ultra-High performance concrete (UHPC): From dataset cleaning to performance predicting. - Liuliu Xu; Dingqiang Fan; Kangning Liu; Wangyang Xu; Rui Yu (Expert Syst. Appl., 2024)

Quantifying impairment and disease severity using AI models trained on healthy subjects. - Boyang Yu 003; Aakash Kaku; Kangning Liu; Avinash Parnandi 001; Emily Fokas; Anita Venkatesan; Natasha Pandit; Rajesh Ranganath; Heidi M. Schambra; Carlos Fernandez-Granda (npj Digit. Medicine, 2024)

Social Power Antecedents of Knowledge Sharing in Project-Oriented Online Communities. - Jianyao Jia; Guofeng Ma; Hongyang Li; Jiyong Ding; Kangning Liu (IEEE Trans. Engineering Management, 2024)

conSAMme: Achieving Consistent Segmentations with SAM. - Josh Myers-Dean; Kangning Liu; Brian L. Price; Yifei Fan; Jason Kuen; Danna Gurari (CVPR Workshops, 2025)

Learn, Denoise, and Discover: A guide to deep denoising with an application to electron microscopy. - Sreyas Mohan; Kangning Liu; Peter A. Crozier; Carlos Fernandez-Granda (IEEE Signal Process. Mag., 2025)

Refer to Anything with Vision-Language Prompts. - Shengcao Cao; Zijun Wei; Jason Kuen; Kangning Liu; Lingzhi Zhang; Jiuxiang Gu; Hyunjoon Jung; Liang-Yan Gui; Yu-Xiong Wang (CoRR, 2025)