Kangning Liu - RankMe

34 papers A* 5A 1Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models. CoRR Shufan Li, Yuchen Zhu, Jiuxiang Gu, Kangning Liu, Zhe Lin, Yongxin Chen, Molei Tao, Aditya Grover, Jason Kuen
2026	J	`jnl`	SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation. CoRR Shufan Li, Jiuxiang Gu, Kangning Liu, Zhe Lin, Aditya Grover, Jason Kuen
2025	J	`jnl`	Agentic Lybic: Multi-Agent Execution System with Tiered Reasoning and Orchestration. CoRR Liangxuan Guo, Bin Zhu, Qingqian Tao, Kangning Liu, Xun Zhao, Xianzhe Qin, Jin Gao, Guangfu Hao
2025	J	`jnl`	Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation. CoRR Shufan Li, Jiuxiang Gu, Kangning Liu, Zhe Lin, Zijun Wei, Aditya Grover, Jason Kuen
2025	J	`jnl`	Learn, Denoise, and Discover: A guide to deep denoising with an application to electron microscopy. IEEE Signal Process. Mag. Sreyas Mohan, Kangning Liu, Peter A. Crozier, Carlos Fernandez-Granda
2025	J	`jnl`	Multi-Objective optimization of courtyard block design: balancing thermal comfort and cooling efficiency using NSGA-III. Signal Image Video Process. Hehong Ma, Kangning Liu
2025	J	`jnl`	Refer to Anything with Vision-Language Prompts. CoRR Shengcao Cao, Zijun Wei, Jason Kuen, Kangning Liu, Lingzhi Zhang, Jiuxiang Gu, Hyunjoon Jung, Liang-Yan Gui, Yu-Xiong Wang
2025	J	`jnl`	Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models. CoRR Shufan Li, Jiuxiang Gu, Kangning Liu, Zhe Lin, Zijun Wei, Aditya Grover, Jason Kuen
2025	J	`jnl`	VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction. CoRR Weitai Kang, Jason Kuen, Mengwei Ren, Zijun Wei, Yan Yan, Kangning Liu
2025	—	`conf`	conSAMme: Achieving Consistent Segmentations with SAM. CVPR Workshops Josh Myers-Dean, Kangning Liu, Brian L. Price, Yifei Fan, Jason Kuen, Danna Gurari
2024	J	`jnl`	A machine learning framework for intelligent development of Ultra-High performance concrete (UHPC): From dataset cleaning to performance predicting. Expert Syst. Appl. Liuliu Xu, Dingqiang Fan, Kangning Liu, Wangyang Xu, Rui Yu
2024	J	`jnl`	AutoGLM: Autonomous Foundation Agents for GUIs. CoRR Xiao Liu, Bo Qin, Dongzhu Liang, Guang Dong, Hanyu Lai, Hanchen Zhang, Hanlin Zhao, Iat Long Iong, Jiadai Sun, Jiaqi Wang, Junjie Gao, Junjun Shan, Kangning Liu, Shudan Zhang, Shuntian Yao, Siyi Cheng, Wentao Yao, Wenyi Zhao, Xinghan Liu, Xinyi Liu, Xinying Chen, Xinyue Yang, Yang Yang, Yifan Xu, Yu Yang, Yujia Wang, Yulin Xu, Zehan Qi, Yuxiao Dong, Jie Tang
2024	J	`jnl`	Multi-modal AI for comprehensive breast cancer prognostication. CoRR 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, Kangning Liu, Zoe Steinsnyder, Nitya Thakore, Mohammad Sadic, Frank Yeung, Elisa Liu, Theodore Hill, Benjamin Swett, Danielle Rigau, Andrew Clayburn, Valerie Speirs, Marcus Vetter, Lina Sojak, Simone Muenst Soysal, Daniel Baumhoer, Khalil Choucair, Yu Zong, Lina Daoud, Anas Saad, Waleed Abdulsattar, Rafic Beydoun, Jia-Wern Pan, Haslina Makmur, Soo-Hwang Teo, Linda Ma Pak, Victor Angel, Dovile Zilenaite-Petrulaitiene, Arvydas Laurinavicius, Natalie Klar, Brian Piening, Carlo Bifulco, Sun-Young Jun, Jae Pak Yi, Su Hyun Lim, Adam Brufsky, Francisco J. Esteva, Lajos Pusztai, Yann LeCun, Krzysztof J. Geras
2024	J	`jnl`	Quantifying impairment and disease severity using AI models trained on healthy subjects. npj Digit. Medicine Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda
2024	J	`jnl`	Social Power Antecedents of Knowledge Sharing in Project-Oriented Online Communities. IEEE Trans. Engineering Management Jianyao Jia, Guofeng Ma, Hongyang Li, Jiyong Ding, Kangning Liu
2024	A*	`conf`	Uncertainty-aware Fine-tuning of Segmentation Foundation Models. NeurIPS Kangning Liu, Brian L. Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof J. Geras, Carlos Fernandez-Granda
2023	J	`jnl`	Controllable One-Shot Face Video Synthesis With Semantic Aware Prior. CoRR Kangning Liu, Yu-Chuan Su, Wei Hong, Ruijin Cang, Xuhui Jia
2023	A*	`conf`	Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CVPR Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
2023	J	`jnl`	Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects. CoRR Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda
2023	J	`jnl`	Research on Rice Fields Extraction by NDVI Difference Method Based on Sentinel Data. Sensors Jinglian Tian, Yongzhong Tian, Yan Cao, Wenhao Wan, Kangning Liu
2022	A*	`conf`	Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CVPR Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
2022	A*	`conf`	Are All Losses Created Equal: A Neural Collapse Perspective. NeurIPS Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
2022	J	`jnl`	Are All Losses Created Equal: A Neural Collapse Perspective. CoRR Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
2022	J	`jnl`	Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CoRR Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
2022	A*	`conf`	StrokeRehab: A Benchmark Dataset for Sub-second Action Identification. NeurIPS Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
2021	J	`jnl`	Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CoRR Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
2021	J	`jnl`	An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. Medical Image Anal. Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2021	J	`jnl`	Cramér-Rao bound-informed training of neural networks for quantitative MRI. CoRR Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Sebastian Flassbeck, Cem Gultekin, Carlos Fernandez-Granda, Jakob Assländer
2021	J	`jnl`	Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. CoRR Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
2021	A	`conf`	Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. WACV Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte
2021	—	`conf`	Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. MIDL Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Piotr Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
2021	J	`jnl`	Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. CoRR Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
2020	J	`jnl`	An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. CoRR Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. CoRR Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte