刘宏，博士，副研究员，硕士生导师。

2000年7月进入中科院计算所从事科研工作，2007年6月毕业于中科院计算所，获计算机应用技术专业博士学位。

主要研究方向为图像和视频分析，多模态数据分析，人机交互等。在国家重点研发、国家自然科学基金、北京市自然科学基金等项目的支持下，带领团队长期从事视觉目标检测，图像特征提取和场景理解，多模态医学图像处理与识别，以及科技助残和具身智能等方面的科研工作。在计算机视觉和多媒体领域的知名学术会议和期刊上，已发表论文90多篇，申请和授权发明专利40余项，软件著作权10余项。

现为中国计算机学会高级会员、IEEE会员，担任国内核心期刊《计算机辅助设计与图形学学报》，《电子学报》，国际SCI期刊IEEE Transactions on Cybernetics, Multimedia Tools and Applications, Sensors, Journal of Visual Communication and Image Representation等学术期刊，以及AAAI，MICCAI，MM，ICCV等学术会议的审稿人，国家基金委以及北京市科委项目评审专家。

近期部分会议论文：

1. Hualei Wang, Yiming Li, Shuo Ma, Hong Liu, Xiangdong Wang, Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models, AAAI 2026 (CCF A)

2. Hualei Wang, Yiming Li, Hong Liu, Xiangdong Wang, Diverse Audio Caption Generation with Semantic-aware Diffusion Model, ICME 2025 (CCF B)

3. Yiming li, Zhifang Guo, Xiangdong Wang, Hong Liu, Advancing Multi-grained Alignment for Contrastive Language-Audio Pre-training, ACM MM2024  (CCF A)

4. Zekang Yang, Hong Liu, Xiangdong Wang, A Multimodal Object-level Contrast Learning Method for Cancer Survival Risk Prediction, Workshop of ACM MM2024 (CCF A)

5. Xin Lei, Zhongping Chen, Hong Liu, Heping Xu, Juan Chen, Huanhuan Tan, Weiwei Dai, Xiangdong Wang, A Cross-modal Feature Fusion Method to Diagnose Macular Fibrosis in Neovascular Age-related Macular Degeneration, the 21st IEEE International Symposium on Biomedical Imaging, ISBI 2024

6. Zekang Yang, Hong Liu, Xiangdong Wang, SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images, MICCAI 2024  (CCF B)

7. Yiming Li, Xiangdong Wang, Hong Liu. Audio-free Prompt Tuning for Language-audio Models. ICASSP 2024  (CCF B)

8. Yiming Li, Xiangdong Wang, Hong Liu, Rui Tao, Long Yan, Kazushige Ouchi. Semi-supervised Sound Event Detection with Local and Global Consistency Regularization. ICASSP 2024  (CCF B)

9. Zhifang Guo, Jianguo Mao, Rui Tao, Long Yan, Kazushige Ouchi, Hong Liu, Xiangdong Wang. Audio Generation with Multiple Conditional Diffusion Model. AAAI 2024  (CCF A)

10. Zihao Shang, Hong Liu, Kuansong Wang, Xiangdong Wang, BM-SMIL: A Breast Cancer Molecular Subtype Prediction Framework from H&E Slides with Self-supervised Pretraining and Multi-instance Learning, Workshop of MICCAI 2023

11. Jianguo Mao, Wenbin Jiang, Hong Liu, Xiangdong Wang, Yajuan Lyu. Inferential Knowledge-Enhanced Integrated Reasoning for Video Question Answering. AAAI 2023  (CCF A)

12. Jianguo Mao, Wenbin Jiang, Xiangdong Wang, Hong Liu,Yu Xia,Yajuan Lyu, Qiaoqiao She, Explainable Question Answering based on Semantic Graph by Global Differentiable Learning and Dynamic Adaptive Reasoning, EMNLP 2022  (CCF B)

13. Jianguo Mao, Jiyuan Zhang, Zengfeng Zeng, Weihua Peng , Wenbin Jiang, Xiangdong Wang, Hong Liu, Yajuan Lyu, Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering, COLING 2022  (CCF B)

14. Jianguo Mao, Wenbin Jiang, XiangdongWang, Zhifan Feng, Yajuan Lyu, Hong Liu, Yong Zhu, Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering, NAACL 2022  (CCF B)

15. Meng-Lei Jiao, Hong Liu, Zekang Yang, Shuai Tian, Han-Qiang Ou-Yang, Yuan Yuan, Jian-Fang Liu, Yuan Li, Chun-Jie Wang, Ning Lang, Yue-Liang Qian, Xiang-Dong Wang, Self-supervised learning based on a pre-trained method for the subtype classification of spinal tumors, Workshop of MICCAI 2022

16. Meng-Lei Jiao, Hong Liu, Jian-Fang Liu, Han-Qiang Ou-Yang, Xiang-Dong Wang, Liang Jiang, Hui-Shu Yuan, Yue-Liang Qian, MAL: Multi-modal attention learning for tumor diagnosis via bipartite graph and multiple branches, International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2022  (CCF B)

17. Hong Liu, Menglei Jiao, Huishu Yuan, Liang Jiang, Ning Lang, Hanqiang Ouyang, Jianfang Liu, Yuan Yuan, Yuan Li, Chunjie Wang, Xiangdong Wang, A Deep Learning Method Based on Multi-model Weighted Fusion to Distinguish Benign and Malignant Spinal Tumors with Magnetic Resonance Imaging, Radiological Society of North America, RSNA 2021

18. Jianguo Mao, Jingwen Zhu, Xiangdong Wang, Hong Liu, Yueliang Qian. Speech Synthesis of Chinese Braille with Limited Training Data, ICME 2021  (CCF B)

19. Yuxin Huang, Xiangdong Wang, Liwei Lin, Hong Liu, Yueliang Qian. Multi-Branch Learning for Weakly-Labeled Sound Event Detection. ICASSP 2020  (CCF B)

20. Haomiao Ni, Hong Liu, Kuansong Wang, Xiangdong Wang, Shitong Su, Yueliang Qian, WSINet: Branch-based and Hierarchy-aware Network for Segmentation and Classification of Breast Whole-slide Images, Workshop of MICCAI 2019

部分期刊论文

1. Hong Liu, MengLei Jiao, XiaoYing Xing, HanQiang Ou-Yang, Yuan Yuan, JianFang Liu, Yuan Li, ChunJie Wang, Ning Lang, YueLiang Qian, Liang Jiang, HuiShu Yuan, XiangDong Wang, BgNet: Diagnosis of benign and malignant spine tumors with MRI multi-plane attention learning, Frontiers in Oncology, 2022 ( SCI IF: 6.2)

2. Hong Liu, Menglei Jiao, Yuan Yuan, Hanqiang Ouyang, Jianfang Liu, Yuan Li, Chunjie Wang, Ning Lang, Liang Jiang，Yueliang Qian, Huishu Yuan, Xiangdong Wang, Benign and Malignant Prediction of Spinal Tumors based on Deep Learning and Weighted Fusion Framework on MRI, Insights into imaging, 2022 （SCI IF: 5.2)

3. Hong Liu, Wendong Xu, Zihao Shang, Xiangdong Wang, Haiyan Zhou, Kewen Ma, Huan Zhou, Jialin Qi, Jiarui Jiang, Lilan Tan, Huimin Zeng, Huijuan Cai, Kuansong Wang and Yueliang Qian,  Breast Cancer Molecular Subtypes Prediction on H&E Pathological Images Based on Discriminative Patch Selecting and Multi-Instance Learning, Frontiers in Oncology, 2022 ( SCI IF: 6.2)

4. Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian. Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection. Transactions on Audio, Speech and Language Processing, 2020 (SCI)

5. Zichao Guo, Hong Liu, Haomiao Ni, Xiangdong Wang, Mingming Su, Wei Guo, Kuansong Wang, Taijiao Jiang, Yueliang Qian, A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images, Scientific Reports, 2019 (SCI)

6. Hong Liu, Wenshan Wu, Xiangdong Wang, Yueliang Qian. RGB-D joint modelling with scene geometric information for indoor semantic segmentation [J]. Multimedia Tools & Applications, 2018 (SCI)

7. 刘宏，王喆，王向东，赵国英，钱跃良，面向盲人避障的场景自适应分割及障碍物检测，计算机辅助设计与图形学学报，2013

8. 刘宏，李锦涛，刘群，钱跃良，李豪杰，融合颜色和梯度特征的运动阴影消除方法，计算机辅助设计与图形学学报，2007

9. 钱跃良，林守勋，刘群，刘宏，2005年度863计划中文信息处理与智能人机接口技术评测回顾，中文信息学报，2006

10. 钱跃良，林守勋，刘群，刘洋，刘宏，谢萦，863计划中文信息处理与智能人机接口基础数据库的设计和实现，高技术通讯, 2005

11. 刘宏，李锦涛，崔国勤，唐胜，基于SVM和纹理的笔迹鉴别方法，计算机辅助设计与图形学学报, 2003

12. Jun Miao，Hong Liu，Wen Gao，Hongming Zhang, Gang Deng，Xilin Chen. A System for Human Face and Facial Feature Localization, IJIG: International Journal of Image and Graphics, 2003

1、计算所创新重点课题：面向导盲应用的分布式具身智能计算系统

2、国家自然科学基金面上项目：基于自监督预训练和多示例学习的乳腺癌病理图像分子分型预测

3、国家自然科学基金：复杂场景中数目变化的视觉多目标实时跟踪技术研究

4、国家重点研发课题：基于多模态信息融合的交叉分析算法及智能挖掘技术研发

5、北京市自然科学基金重点项目：多模态医疗影像颈椎退变解析及其临床诊断与应用的研究

6、北京市自然科学基金面上项目：基于RGB-D的场景分析及在导盲避障中的应用

7、中国盲文社合作项目：基于深度学习的盲文识别及质检校对引擎