长期从事脑启发人工智能与科学智能领域的研究,主持国家自然基金青年基金项目(A类)、国家自然科学基金创新研究群体项目(B类)、国家自然基金重点项目、科技部创新2030新一代人工智能专项课题等研究工作。近年来,以第一/通讯作者身份在Nature Machine Intelligence、Nature Biotechnology、Nature Methods、IEEE TPAMI等国际权威期刊会议发表论文50余篇,在Springer出版英文专著一部。
获奖情况
(1) 2024年中国青年科技奖
(2) 2022年阿里巴巴达摩院青橙奖
(3) 2020年IEEE模糊系统汇刊年度最佳论文奖
(4) 2020年世界人工智能大会优秀青年论文奖
(5) 2011年微软学者
发明专利
[1] 一种类脑启发的智能驾驶视觉辅助方法、装置及存储介质
[2] 一种记忆环路启发的脉冲记忆图像生成方法和系统
[3] 一种基于双层优化权重重分配的图像复原监督学习方法
[4] 联合靶点知识与局域动态结构的抗体从头设计系统及方法
[5] 安全强化学习驱动的大语言模型安全决策智能体
代表性论文
[1] Li Zeyu, Han Wang, Zhang Yue, Fu Qingfei, Li Jingxuan, Qin Lizi, Dong Ruoyu, Sun Hao, Deng Yue, Yang Lijun. Learning spatiotemporal dynamics with a pretrained generative model[J]. Nature Machine Intelligence, 2024, 6(12): 1566-1579.
[2] Bohan Li, Feng Bao, Yimin Hou, Fengji Li, Hongjue Li, Yue Deng, Qionghai Dai. Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model[J]. Nature Communications, 2024, 15(1): 6541.
[3] Bao Feng, Deng Yue, Wan Sen, Shen Susan Q, Wang Bo, Dai Qionghai, Altschuler Steven J, Wu Lani F. Integrative spatial analysis of cell morphologies and transcriptional states with MUSE[J]. Nature Biotechnology, 2022, 40(8): 1200-1209.
[4] Deng Yue, Bao Feng, Dai Qionghai, Wu Lani F, Altschuler Steven J. Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning[J]. Nature Methods, 2019, 16(4): 311-314.
[5] Bao Feng, Deng Yue, Du Mulong, Ren Zhiquan, Wan Sen, Liang Kenny Ye,
[6] Jiang Xingyu, Gao Ning, Zhang Xiuhui, Dou Hongkun, Fu Shaowen, Zhong Xiaoqing, Li Hongjue, Deng Yue. Image Restoration via Multi-domain Learning[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026: 1-18.
[7] Hongkun Dou, Zeyu Li, Xingyu Jiang, Hongjue Li, Lijun Yang, Wen Yao, Yue Deng. You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, Early Access: 1-18.