李亮，研究员，博士生导师，国家优秀青年基金获得者，中科院青创会会员。研究领域为生成式人工智能、多模态学习和大模型，发表CCF-A类期刊和会议论文90余篇，谷歌引用7000余次，获国际会议最佳论文奖4次（包括CCF-A类顶会ACM MM2024最佳论文奖），6项工作入选ESI高被引论文，编写译著1部；主持/参与科技部科技创新2030重大项目、973课题、NSFC应急管理重点项目、NSFC优青/面上/青年项目等20余项，担任中科院1区TOP期刊IEEE TMM等6个国内外期刊编委，CCF-A类级议ACL/NeurIPS/ICLR/AAAI/ACM MM领域主席，中国图象图形学学会多媒体专委会副秘书长和中国人工智能学会智能成像专委会副秘书长，参与组织15国内外学术会议。获2025年教育部技术发明一等奖、2024年中国图象图形学学会青年科学家奖、2022年浙江省科技进步一等奖、2020年吴文俊人工智能自然科学一等奖、2013中科院院长奖、2012年计算所所长特别奖、2008年亚太大学生机器人大赛国内赛和国际赛冠军。参与起草发布了全球首个内容自动化生产标准《机器生产内容自动化分级》，相关技术在华为、淘宝、大华、华数传媒等公司使用，服务于2022北京冬奥会等任务。

2024年11月 — 至今：中科院计算所，研究员

2017年9月 — 2024年11月：中科院计算所，副研究员

2016年5月 — 2017年9月：中科院计算所，助理研究员

2013年6月 — 2016年5月：中国科学院大学，博士后

2008年7月 — 2013年6月：中国科学院计算技术研究所，工学博士

2004年9月 — 2008年7月：西安交通大学，电信学院，工学学士

期刊文章:

[1] Liang Li, Gaoxiang Cong, Yuankai Qi, Zheng-Jun Zha, Qi Wu, Michael Sheng, Qingming Huang, Ming-Hsuan Yang. Dubbing Movies via Hierarchical Phoneme Modeling and Acoustic Diffusion Denoising. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

[2] Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Qingming Huang. SMART: Syntax-calibrated Multi-Aspect Relation Transformer for Change Captioning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

[3] Beichen Zhang, Liang Li, Shuhui Wang, Shaofei Cai, Zheng-Jun Zha, Qi Tian, Qingming Huang. Inductive State-Relabeling Adversarial Active Learning with Heuristic Clique Rescaling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

[4] Wei Tang, Liang Li, Xuejing Liu, Lu Jin, Jinhui Tang and Zechao Li, Context Disentangling and Prototype Inheriting for Robust Visual Grounding, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

[5] Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Zechao Li, Qi Tian, Qingming Huang. Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

[6] Hao Wang, Zheng-Jun Zha, Liang Li, Xuejin Chen, Jiebo Luo. Semantic and Relation Modulation for Audio-Visual Event Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

[7] Zhuo Tao, Liang Li, Yuankai Qi, Qi Chen, Yunbin Tu, Zheng-Jun Zha, Beheshti Amin, Qingming Huang, Ming-Hsuan Yang. Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization. International Journal of Computer Vision (IJCV), 2026.

[8] Yukun Huang, Xueyang Fu, Liang Li, Zheng-Jun Zha: Learning Degradation-Invariant Representation for Robust Real-World Person Re-Identification. International Journal of Computer Vision (IJCV), 2022.

[9] Zhuo Tao, Liang Li, Yunbin Tu, Jiong Yin, Beichen Zhang, Zheng-Jun Zha, Qingming Huang, Generalizing Beyond Patterns: Dynamic Moment Query Recalibrating for Out-of-Distribution Video Temporal Localization, IEEE Transactions on Multimedia (TMM), 2025.

[10] Boyang Guo, Liang Li, Jiehua Zhang, Yaoqi Sun, Xichun Sheng and Chenggang Yan, Prompt Learning with Knowledge Regularization for Pre-trained Vision-Language Models, IEEE Transactions on Multimedia (TMM), 2025.

会议文章：

[1] Jiadong Pan, Liang Li, Yuxin Peng, Yu-Ming Tang, Shuohuan Wang, Yu Sun, Hua Wu, Qingming Huang, Haifeng Wang, Learning to Generate via Understanding: Understanding-Driven Intrinsic Rewarding for Unified Multimodal Models, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

[2] Boyang guo, Liang Li, Linpeng, Yuhan Gao, Xichun Sheng, Chenggang Yan. Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

[3] Yiming Cui, Liang Li, Haibing Yin, Yuhan Gao, Xichun Sheng, Chenggang Yan. Expert-Teacher-Student Collaborative Learning for Domain Adaptive Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

[4] Zhedong Zhang, Liang Li, Gaoxiang Cong, Chunshan Liu, Yuhan Gao, Xiaowan Wang, Tao Gu, Yuankai Qi. InstructDubber: Instruction-based Alignment for Zero-shot Movie Dubbing, AAAI Conference on Artificial Intelligence (AAAI), 2026.

[5] Zhiqian Zhao, Liang Li, Lei Shen, Xichun Sheng, Yaoqi Sun, Fang Kang, Chenggang Yan. Temporal Calibrating and Distilling for Scene-Text Aware Text-Video Retrieval, AAAI Conference on Artificial Intelligence (AAAI), 2026.

[6] Zhiwen Yang, Jiehua Zhang, Liang Li, Yuhan Gao, Zongpeng Li, Xichun Sheng, Chenggang Yan. Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models, AAAI Conference on Artificial Intelligence (AAAI), 2026.

[7] Jingjing Zhou, Gaoxiang Cong, Li Su, Liang Li. STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models, AAAI Conference on Artificial Intelligence (AAAI), 2026.

[8] Junxi Chen, Liang Li, Yunbin Tu, Li Su, Zhe Xue, Qingming Huang. Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection. Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

[9] Jiong Yin, Liang Li, Jiehua Zhang, Yuhan Gao, Chenggang Yan, Xichun Sheng. Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning. IEEE International Conference on Computer Vision (ICCV), 2025.

[10] Zhedong Zhang, Liang Li, Gaoxiang Cong, Haibing Yin, Yuhan Gao, Chenggang Yan, Anton van den Hengel, Yuankai Qi. From Speaker to Dubber: Movie Dubbing with Prosody and Duration Consistency Learning. ACM Multimedia (MM), 2024, (1/4385，全球唯一最佳论文奖).

专利：

[1] 一种候选回答语句生成和自然语言选择方法及系统（专利号：ZL201911017584.2）；

[2] 一种图像分割、模型训练方法、装置、设备及介质（专利号：ZL202211076329.7）；

[3] 数据流的生成方法、电子设备及计算机可读存储介质（专利号：ZL202211059878.3）；

[4] 目标检测模型的训练方法、目标检测方法及相关设备（专利号：ZL202211064180.0）；

[5] 一种有效的显著性预测模型方法（专利号：ZL2019106264059）.