Aoxiao Zhong

According to our database, Aoxiao Zhong authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation.

Cheng Chen, Juzheng Miao, Dufan Wu, Aoxiao Zhong, Zhiling Yan, Sekeun Kim, Jiang Hu, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li

Medical Image Anal., 2024

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.

Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yi-Fan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen

CoRR, 2024

Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia.

Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen

CoRR, 2024

LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models.

Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models.

Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models.

Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Lunting Fan, Lingfei Wu, Qingsong Wen

CoRR, 2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.

Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, Xiang Li

CoRR, 2023

Radiology-GPT: A Large Language Model for Radiology.

Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Xiang Li, Quanzheng Li, Tianming Liu

CoRR, 2023

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.

Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning.

Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FedDAR: Federated Domain-Aware Representation Learning.

Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Empirical Analysis of Leveraging Knowledge for Low-Resource Task-Oriented Semantic Parsing.

Mayank Kulkarni, Aoxiao Zhong, Nicolas Guenon des Mesnards, Sahar Movaghati, Mukund Sridhar, He Xie, Jianhua Lu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021

Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.

Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li

Medical Image Anal., 2021

Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection.

Varun Buch, Aoxiao Zhong, Xiang Li, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Dufan Wu, Hui Ren, Jiahui Guan, Andrew Liteplo, Sayon Dutta, Ittai Dayan, Quanzheng Li

CoRR, 2021

LQR with Tracking: A Zeroth-order Approach and Its Global Convergence.

Zhaolin Ren, Aoxiao Zhong, Na Li

Proceedings of the 2021 American Control Conference, 2021

2020

Federated LQR: Learning through Sharing.

Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li

CoRR, 2020

2019

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.

Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens

IEEE Trans. Medical Imaging, 2019

2018

Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations.

Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Indexing metric uncertain data for range queries and range joins.

Lu Chen, Yunjun Gao, Aoxiao Zhong, Christian S. Jensen, Gang Chen, Baihua Zheng

VLDB J., 2017

Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.

Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017