Enhancing Image Restoration Transformer via Adaptive Translation Equivariance
JiaKui Hu, Zhengjian Yao, Lujia Jin, Hangzhou He, Yanye Lu
机构
*
Institute of Medical Technology, Peking University Health Science Center, Peking University(北京大学医学部医学技术研究所)
;
Biomedical Engineering Department, College of Future Technology, Peking University(未来技术学院生物医学工程系)
;
National Biomedical Imaging Center, Peking University(北京大学国家生物医学成像中心)
;
China Mobile Research Institute(中国移动研究院)
Training-free Test-time Improvement for Explainable Medical Image Classification
Hangzhou He, Jiachen Tang, Lei Zhu, Kaiwen Li, Yanye Lu
机构
*
Department of Biomedical Engineering, Peking University, Beijing, China(北京大学生物医学工程系)
;
Institute of Medical Technology, Peking University, Beijing, China(北京大学医学技术研究所)
;
National Biomedical Imaging Center, Peking University, Beijing, China(北京大学国家生物医学成像中心)
;
Beijing Institute of Technology, Beijing, China(北京理工大学)
;
Equal Contribution(同等贡献)
;
Corresponding Author(通讯作者)
CommentsThis is the initial version of our work accepted by MICCAI 2025. We'll include a link to the version on SpringerLink after this becomes available
机构
*
School of Physics, Peking University(北京大学物理学院)
;
School of Computer Science, Peking University(北京大学计算机学院)
;
Department of Radiotherapy, Peking University Cancer Hospital(北京大学肿瘤医院放疗科)
;
Department of Radiation Oncology, Peking University Third Hospital(北京大学第三医院放疗科)
OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning
Zhiwei Nie, Hongyu Zhang, Hao Jiang, Yutian Liu, Xiansong Huang, Fan Xu, Jie Fu, Zhixiang Ren, Yonghong Tian, Wen-Bin Zhang, Jie Chen
机构
*
School of Electronic and Computer Engineering, Peking University, Shenzhen, China(电子与计算机工程学院,北京大学,深圳,中国)
;
Pengcheng Laboratory, Shenzhen, China(鹏城实验室,深圳,中国)
;
Beijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry & Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking University, China(分子科学国家实验室,教育部高分子化学与物理重点实验室,软物质科学与工程中心,化学与分子工程学院,北京大学,中国)
;
School of Computer Science, Peking University, China(计算机科学学院,北京大学,中国)
;
Shanghai AI Laboratory, Shanghai, China(上海人工智能实验室,上海,中国)
机构
*
State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University(多媒体信息处理国家重点实验室,计算机学院,北京大学)
;
Beijing Academy of Artificial Intelligence (BAAI)(北京人工智能研究院)
;
CUHK(香港中文大学)
How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs
Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang
机构
*
State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University(通用人工智能国家重点实验室,智能科学与技术学院,北京大学)
;
School of EECS, Peking University(电子工程系,北京大学)
;
Huawei Noah’s Ark Lab(华为诺亚实验室)
;
Center for Machine Learning Research, Peking University(机器学习研究中心,北京大学)
Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations
Xinyu Xiong, Churan Wang, Wenxue Li, Guanbin Li
机构
*
School of Computer Science and Engineering, Sun Yat-sen University(中山大学计算机科学与工程学院)
;
School of Computer Science, Peking University(北京大学计算机科学学院)
;
School of Future Technology, Tianjin University(天津大学未来技术学院)
;
Research Institute, Sun Yat-sen University(中山大学研究学院)
机构
*
National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University(多媒体信息处理国家重点实验室,计算机科学学院,北京大学)
;
Department of Software and Microelectronics, Peking University(软件与微电子系,北京大学)
;
School of Electronic and Computer Engineering, Peking University(电子与计算机工程学院,北京大学)
;
State Key Laboratory of Virtual Reality Technology and Systems, SCSE, Beihang University(虚拟现实技术与系统国家重点实验室,北航软件学院)
;
Peng Cheng Laboratory(鹏城实验室)
;
Baidu Inc(百度公司)
Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
Dongdong Meng, Sheng Li, Hao Wu, Guoping Wang, Xueqing Yan
机构
*
School of Physics, Peking University, Beijing, China(北京大学物理系)
;
School of Computer Science, Peking University, Beijing, China(北京大学计算机系)
;
Department of Radiotherapy, Peking University Cancer Hospital, Beijing, China(北京大学肿瘤医院放疗科)
Comments10 pages, 2 figures, accepted at MICCAI 2025
SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts
Yufei Liu, Haoke Xiao, Jiaxing Chai, Yongcun Zhang, Rong Wang, Zijie Meng, Zhiming Luo
机构
*
Department of Artificial Intelligence, Xiamen University, Xiamen, China(厦门大学人工智能学院)
;
Institute of Artificial Intelligence, Xiamen University, Xiamen, China(厦门大学人工智能研究院)
;
School of Software and Microelectronics, Peking University, Beijing, China(北京大学软件与微电子学院)
;
Kuaishou Technology, Beijing, China(快手科技)
机构
*
Beijing University of Posts and Telecommunications(北京邮电大学)
;
Center on Frontiers of Computing Studies, Peking University(北京大学前沿计算研究中心)
;
Institute of Computing Technology, Chinese Academy of Sciences(中国科学院计算技术研究所)
机构
*
Shanghai Artificial Intelligence Laboratory(上海人工智能实验室)
;
School of Computer Science, Fudan University(复旦大学计算机学院)
;
National Biomedical Imaging Center, College of Future Technology, Peking University(北京大学未来技术学院生物医学成像中心)
;
Ruijin Hospital, Shanghai Jiaotong University School of Medicine(上海交通大学医学院瑞金医院)
;
Department of Pathology, State Key Laboratory of Cancer Biology, Xijing Hospital(西京医院病理科,癌症生物学国家重点实验室)
;
Department of Computer Science, Rutgers University(罗格斯大学计算机科学系)
机构
*
School of Electronic and Computer Engineering, Peking University, China(电子与计算机工程学院,北京大学)
;
Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology(广东省超高清沉浸媒体技术重点实验室)
;
Shenzhen Graduate School, Peking University, China(深圳研究生院,北京大学)
机构
*
State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University(信息处理国家重点实验室,计算机学院,北京大学)
;
Microsoft Research Asia(微软亚洲研究院)
机构
*
Shanghai AI Laboratory(上海人工智能实验室)
;
Tsinghua University(清华大学)
;
Shanghai Jiao Tong University(上海交通大学)
;
Peking University(北京大学)
;
The Chinese University of Hong Kong(香港中文大学)
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling
Xuemei Tang, Jun Wang, Qi Su, Chu-ren Huang, Jinghang Gu
机构
*
The Hong Kong Polytechnic University(香港理工大学)
;
Department of Information Management, Peking University(北京大学信息管理系)
;
School of Foreign Languages, Peking University(北京大学外语学院)
Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
Yinsong Xu, Aidong Men, Yang Liu, Xiahai Zhuang, Qingchao Chen
机构
*
National Institute of Health Data Science(国家健康数据科学研究院)
;
Institute of Medical Technology, Peking University(北京大学医学技术研究院)
;
School of Artificial Intelligence, Beijing University of Posts and Telecommunications(北京邮电大学人工智能学院)
;
Wangxuan Institute of Computer Technology, Peking University(北京大学王轩计算机技术研究所)
;
School of Data Science, Fudan University(复旦大学数据科学学院)
;
State Key Laboratory of General Artificial Intelligence, Peking University(北京大学通用人工智能国家重点实验室)