Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. - Xiang Li 001; Aoxiao Zhong; Ming Lin 002; Ning Guo; Mu Sun; Arkadiusz Sitek; Jieping Ye; James Thrall; Quanzheng Li (MLMI@MICCAI, 2017)

Indexing metric uncertain data for range queries and range joins. - Lu Chen 001; Yunjun Gao; Aoxiao Zhong; Christian S. Jensen; Gang Chen 001; Baihua Zheng (VLDB J., 2017)

Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. - Yiping Lu 001; Aoxiao Zhong; Quanzheng Li; Bin Dong 001 (ICML, 2018)

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; et al. (IEEE Trans. Medical Imaging, 2019)

Federated LQR: Learning through Sharing. - Zhaolin Ren; Aoxiao Zhong; Zhengyuan Zhou; Na Li 002 (CoRR, 2020)

LQR with Tracking: A Zeroth-order Approach and Its Global Convergence. - Zhaolin Ren; Aoxiao Zhong; Na Li 002 (ACC, 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 001; Marcio Aloisio Bezerra Cavalcanti Rockenbach; Dufan Wu; Hui Ren 001; Jiahui Guan; Andrew Liteplo; Sayon Dutta; Ittai Dayan; Quanzheng Li (CoRR, 2021)

Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. - Aoxiao Zhong; Xiang Li 001; Dufan Wu; Hui Ren 001; Kyung Sang Kim; Young-Gon Kim; Varun Buch; Nir Neumark; Bernardo Bizzo; Won Young Tak; Soo Young Park; Yu Rim Lee; et al. (Medical Image Anal., 2021)

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 (ACL (Findings), 2023)

FedDAR: Federated Domain-Aware Representation Learning. - Aoxiao Zhong; Hao He; Zhaolin Ren; Na Li 002; Quanzheng Li (ICLR, 2023)

Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning. - Cheng Chen 013; Aoxiao Zhong; Dufan Wu; Jie Luo 003; Quanzheng Li (MICCAI (5), 2023)

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (MLMI@MICCAI (1), 2023)

Radiology-GPT: A Large Language Model for Radiology. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (CoRR, 2023)

Radiology-Llama2: Best-in-Class Large Language Model for Radiology. - Zhengliang Liu; Yiwei Li 002; Peng Shu; Aoxiao Zhong; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Jie Luo 003; Cheng Chen 013; Sekeun Kim; Jiang Hu; et al. (CoRR, 2023)

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 001; Qingsong Wen (CIKM, 2024)

LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. - Aoxiao Zhong; Dengyao Mo; Guiyang Liu; Jinbu Liu; Qingda Lu; Qi Zhou 001; Jiesheng Wu; Quanzheng Li; Qingsong Wen (KDD, 2024)

Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. - Miao Yu; Junyuan Mao; Guibin Zhang; Jingheng Ye; Junfeng Fang; Aoxiao Zhong; Yang Liu 018; Yuxuan Liang; Kun Wang 042; Qingsong Wen (CoRR, 2024)

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. - Yibo Yan; Shen Wang 005; Jiahao Huo; Hang Li 007; Boyan Li; Jiamin Su; Xiong Gao; Yifan Zhang 004; Tianlong Xu; Zhendong Chu; Aoxiao Zhong; Kun Wang 042; et al. (CoRR, 2024)

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. - Cheng Chen 013; Juzheng Miao; Dufan Wu; Aoxiao Zhong; Zhiling Yan; Sekeun Kim; Jiang Hu; Zhengliang Liu; Lichao Sun 001; Xiang Li 001; Tianming Liu 001; Pheng-Ann Heng; et al. (Medical Image Anal., 2024)

LAG: LLM agents for Leaderboard Auto Generation on Demanding. - Jian Wu 037; Jiayu Zhang; Dongyuan Li; Linyi Yang; Aoxiao Zhong; Renhe Jiang; Qingsong Wen; Yue Zhang 004 (CoRR, 2025)

LLM Agents for Education: Advances and Applications. - Zhendong Chu; Shen Wang 005; Jian Xie; Tinghui Zhu; Yibo Yan; Jinheng Ye; Aoxiao Zhong; Xuming Hu; Jing Liang 008; Philip S. Yu; Qingsong Wen (CoRR, 2025)