Liu, Kangning

1. AutoGLM: Autonomous Foundation Agents for GUIs
   2024/10/28 by Xiao Liu, Liu, Xiao, Bo Qin +57 · 24 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human Motion and Animation #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Web Applications and Data Management #Web Data Mining and Analysis
2. Are All Losses Created Equal: A Neural Collapse Perspective
   2022/10/04 by Zhou, Jinxin, You, Chong, Li, Xiao +4 · 6 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
3. Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
   2021/10/07 by Sheng Liu, Liu, Sheng, Kangning Liu +7 · 4 citations
   Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
4. Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
   2022/10/17 by Liu, Kangning, Zhu, Weicheng, Shen, Yiqiu +4 · 3 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
   2020/02/13 by Shen, Yiqiu, Wu, Nan, Phang, Jason +8 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
6. Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
   2021/06/13 by Liu, Kangning, Shen, Yiqiu, Wu, Nan +3 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects
   2023/11/21 by Boyang Yu, Yu, Boyang, Aakash Kaku +17 · 2 citations
   Medicine · #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #Stroke Rehabilitation and Recovery
8. Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
   2025/09/23 by Shufan Li, Jiuxiang Gu, Li, Shufan +11 · 5 citations
   #cs.CV
9. Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models
   2025/12/16 by Shufan Li, Li, Shufan, Jiuxiang Gu +11 · 2 citations
   #cs.CV
10. Refer to Any Segmentation Mask Group With Vision-Language Prompts
    2025/06/05 by Cao, Shengcao, Wei, Zijun, Kuen, Jason +6 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
11. VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction
    2025/12/11 by Kang, Weitai, Kuen, Jason, Ren, Mengwei +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications