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李亮，研究員，博士生導師，國家優秀青年基金獲得者，中科院青創會會員。研究領域為生成式人工智能、計算機視覺和多模態學習，發表TPAMI等匯刊和CCF-A類會議論文90余篇，谷歌引用4400余次，獲國際會議最佳論文獎3次（包括CCF-A類會議ACM MM2024最佳論文獎），6項工作入選ESI高被引論文，編寫譯著1部；主持/參與科技部科技創新2030重大項目、973課題、NSFC應急管理重點項目、NSFC優青/面上/青年項目等20余項，擔任國際期刊Electronics和JCST編委，國際會議ACL/EMNLP/NAACL高級領域主席，ACM MM領域主席，ACM SIGMM中國分會高校合作負責人，參與組織7次ACM/IEEE國際會議和6次國內會議。獲2024年中國圖象圖形學學會青年科學家獎、2022年浙江省科技進步一等獎、2020年吳文俊人工智能自然科學一等獎、2013中科院院長獎、2012年計算所所長特別獎、2008年亞太大學生機器人大賽國內賽和國際賽冠軍。參與起草發布了全球首個內容自動化生產標準《機器生產內容自動化分級》，相關技術在華為、淘寶、大華、華數傳媒等公司使用，服務于2022北京冬奧會等任務。

2024年11月 — 至今：中科院計算所，研究員

2017年9月 — 2024年11月：中科院計算所，副研究員

2016年5月 — 2017年9月：中科院計算所，助理研究員

2013年6月 — 2016年5月：中國科學院大學，博士后?

2008年7月 — 2013年6月：中國科學院計算技術研究所，工學博士

2004年9月 — 2008年7月：西安交通大學，電信學院，工學學士

期刊文章:

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[5] 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.

[6] 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.

[7] Liang Li, Tongyu Lu, Yaoqi Sun, Yuhan Gao, Chenggang Yan, Zhenghui Hu and Qingming Huang. Progressive Decision Boundary Shifting for Unsupervised Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.

[8] Yiting Liu, Liang Li, Yunbin Tu, Beichen Zhang, Zheng-Jun Zha, Qingming Huang. Dynamic Strategy Prompt Reasoning for Emotional Support Conversation. IEEE Transactions on Multimedia (TMM), 2024.

[9] Beichen Zhang, Liang Li, Zheng-jun Zha, Jiebo Luo, Qingming Huang. Downstream-Pretext Domain Knowledge Traceback for Active Learning, IEEE Transactions on Multimedia (TMM), 2024.

[10] Yunbin Tu, Liang Li, Li Su, Junping Du, Ke Lu, Qingming Huang. Viewpoint-Adaptive Representation Disentanglement Network for Change Captioning, IEEE Transactions on Image Processing (TIP), 2023.

[11] Shaofei Cai, Liang Li, Xinzhe Han, Shan Huang, Qi Tian and Qingming Huang. Semantic and Correlation Disentangled Graph Convolutions for Multi-label Image Recognition. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

[12] Hao Wang, Zheng-Jun Zha, Liang Li, Xuejin Chen, Jiebo Luo. Context-Aware Proposal-Boundary Network with Structural Consistency for Audio-Visual Event Localization, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

[13] Yunbin Tu, Liang Li, Li Su, Ke Lu and Qingming Huang, Neighborhood Contrastive Transformer for Change Captioning. IEEE Transactions on Multimedia (TMM), 2023.

[14] Liang Li, Xingyu Gao, Jincan Deng, Yunbin Tu, Zheng-Jun Zha and Qingming Huang. Long Short-Term Relation Transformer with Global Gating for Video Captioning, IEEE Transactions on Image Processing (TIP), 2022.

[15] Yunbin Tu, Liang Li, Li Su, Shengxiang Gao, Zhengtao Yu and Qingming Huang. I2Transformer: Intra- and-inter-relation Embedding Transformer for TV Show Captioning, IEEE Transactions on Image Processing (TIP), 2022.

會議文章：

[1] Jiadong Pan, Hongcheng Gao, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li. Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning. Annual Conference on Neural Information Processing Systems (NeurIPS), 2024, Spotlight.

[2] 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, Oral，最佳論文獎.

[3] Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang. Context-aware Difference Distilling for Multi-change Captioning, Association of Computational Linguistics (ACL), 2024.

[4] Junxi Chen, Liang Li, Li Su, Zheng-Jun Zha, Qingming Huang. Prompt-enhanced Multiple Instance Learning for Weakly Supervised Anomaly Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[5] Henglei Lv, Jiayu Xiao, Liang Li. Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image Personalization. ACM Multimedia (MM), 2024.

[6] Yiming Cui, Liang Li, Jiehua Zhang, Chenggang Yan, Hongkui Wang, Shuai Wang, Jin Heng, Wu Li. Stochastic Context Consistency Reasoning for Domain Adaptive Object Detection. ACM Multimedia (MM), 2024.

[7] Yunbin Tu, Liang Li, Li Su, Chenggang Yan, Qingming Huang. Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning, European Conference on Computer Vision (ECCV), 2024.

[8] Jiayu Xiao, Henglei Lv, Liang Li, Shuhui Wang, Qingming Huang, R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation, International Conference on Learning Representations (ICLR), 2024.?

[9] Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang. Self-Supervised Cross-View Representation Reconstruction for Change Captioning, IEEE International Conference on Computer Vision (ICCV), 2023.

[10] Zhenhuan Liu, Liang Li, Jiayu Xiao, Zheng-Jun Zha, Qingming Huang. Text-Driven Generative Domain Adaptation with Spectral Consistency Regularization, IEEE International Conference on Computer Vision (ICCV), 2023.

[11] Yang Wang, Long Peng, Liang Li, Yang Cao, Zheng-Jun Zha. Decoupling-and-Aggregating for Image Exposure Correction, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

[12] Gaoxiang Cong, Liang Li, Yuankai Qi, Zheng-Jun Zha, Qi Wu, Wenyu Wang, Bin Jiang, Ming-Hsuan Yang, Qingming Huang. Learning to Dub Movies via Hierarchical Prosody Models. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

[13] Yiting Liu, Liang Li, Beichen Zhang, Shan Huang, Zheng-Jun Zha, Qingming Huang. MaTCR: Modality-Aligned Thought Chain Reasoning for Multimodal Task-Oriented Dialogue Generation, ACM International Conference on Multimedia (MM), 2023.

[14] Jiayu Xiao, Liang Li, Chaofei Wang, Zheng-Jun Zha and Qingming Huang. Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

[15] Shaofei Cai,Liang Li, Xinzhe Han, Jiebo Luo, Zheng-Jun Zha and Qingming Huang. Automatic Relation-aware Graph Network Proliferation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, Oral.

專利：

[1] 一種候選回答語句生成和自然語言選擇方法及系統（專利號：ZL201911017584.2）；

[2] 一種圖像分割、模型訓練方法、裝置、設備及介質（專利號：ZL202211076329.7）；

[3] 數據流的生成方法、電子設備及計算機可讀存儲介質（專利號：ZL202211059878.3）；

[4] 目標檢測模型的訓練方法、目標檢測方法及相關設備（專利號：ZL202211064180.0）；

[5] 一種有效的顯著性預測模型方法（專利號：ZL2019106264059）.