Aoxiao Zhong - RankMe

32 papers A* 3A 1C 1Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code. CoRR Jian Xie, Zhendong Chu, Aoxiao Zhong, Kaiyi Zhang, Mingzhe Han, Xing Fan, Jialie Shen, Qingsong Wen
2025	J	`jnl`	LAG: LLM agents for Leaderboard Auto Generation on Demanding. CoRR Jian Wu, Jiayu Zhang, Dongyuan Li, Linyi Yang, Aoxiao Zhong, Renhe Jiang, Qingsong Wen, Yue Zhang
2025	—	`conf`	LLM Agents for Education: Advances and Applications. EMNLP (Findings) Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	LLM Agents for Education: Advances and Applications. CoRR Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	MediViSTA: Medical Video Segmentation Via Temporal Fusion SAM Adaptation for Echocardiography. IEEE J. Biomed. Health Informatics Sekeun Kim, Pengfei Jin, Cheng Chen, Kyungsang Kim, Zhiliang Lyu, Hui Ren, Sunghwan Kim, Zhengliang Liu, Aoxiao Zhong, Tianming Liu, Xiang Li, Quanzheng Li
2024	J	`jnl`	ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen
2024	A*	`conf`	LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. KDD Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen
2024	J	`jnl`	LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. CoRR Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen
2024	J	`jnl`	MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. Medical Image Anal. 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
2024	J	`jnl`	Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. CoRR Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen
2024	A	`conf`	RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CIKM Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen
2023	—	`conf`	An Empirical Analysis of Leveraging Knowledge for Low-Resource Task-Oriented Semantic Parsing. ACL (Findings) Mayank Kulkarni, Aoxiao Zhong, Nicolas Guenon des Mesnards, Sahar Movaghati, Mukund Sridhar, He Xie, Jianhua Lu
2023	—	`conf`	Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning. MICCAI (5) Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li
2023	A*	`conf`	FedDAR: Federated Domain-Aware Representation Learning. ICLR Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
2023	J	`jnl`	MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li
2023	J	`jnl`	RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CoRR Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen
2023	J	`jnl`	Radiology-GPT: A Large Language Model for Radiology. CoRR 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
2023	J	`jnl`	Radiology-Llama2: Best-in-Class Large Language Model for Radiology. CoRR 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
2023	—	`conf`	Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. MLMI@MICCAI (1) 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
2022	J	`jnl`	FedDAR: Federated Domain-Aware Representation Learning. CoRR Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
2021	J	`jnl`	Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. Medical Image Anal. 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
2021	J	`jnl`	Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection. CoRR 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
2021	C	`conf`	LQR with Tracking: A Zeroth-order Approach and Its Global Convergence. ACC Zhaolin Ren, Aoxiao Zhong, Na Li
2020	J	`jnl`	Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19. CoRR 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
2020	J	`jnl`	Federated LQR: Learning through Sharing. CoRR Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li
2019	J	`jnl`	From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 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
2018	—	`conf`	Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICLR (Workshop) Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong
2018	A*	`conf`	Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICML Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong
2017	J	`jnl`	Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. CoRR Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong
2017	J	`jnl`	Indexing metric uncertain data for range queries and range joins. VLDB J. Lu Chen, Yunjun Gao, Aoxiao Zhong, Christian S. Jensen, Gang Chen, Baihua Zheng
2017	—	`conf`	Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. MLMI@MICCAI Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li
2017	J	`jnl`	Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. CoRR Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li