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李亮，研究員，博士生導(dǎo)師，國(guó)家優(yōu)秀青年基金獲得者，中科院青創(chuàng)會(huì)會(huì)員。研究領(lǐng)域?yàn)樯墒饺斯ぶ悄?、?jì)算機(jī)視覺(jué)和多模態(tài)學(xué)習(xí)，發(fā)表TPAMI等匯刊和CCF-A類(lèi)會(huì)議論文90余篇，谷歌引用4400余次，獲國(guó)際會(huì)議最佳論文獎(jiǎng)3次（包括CCF-A類(lèi)會(huì)議ACM MM2024最佳論文獎(jiǎng)），6項(xiàng)工作入選ESI高被引論文，編寫(xiě)譯著1部；主持/參與科技部科技創(chuàng)新2030重大項(xiàng)目、973課題、NSFC應(yīng)急管理重點(diǎn)項(xiàng)目、NSFC優(yōu)青/面上/青年項(xiàng)目等20余項(xiàng)，擔(dān)任國(guó)際期刊Electronics和JCST編委，國(guó)際會(huì)議ACL/EMNLP/NAACL高級(jí)領(lǐng)域主席，ACM MM領(lǐng)域主席，ACM SIGMM中國(guó)分會(huì)高校合作負(fù)責(zé)人，參與組織7次ACM/IEEE國(guó)際會(huì)議和6次國(guó)內(nèi)會(huì)議。獲2024年中國(guó)圖象圖形學(xué)學(xué)會(huì)青年科學(xué)家獎(jiǎng)、2022年浙江省科技進(jìn)步一等獎(jiǎng)、2020年吳文俊人工智能自然科學(xué)一等獎(jiǎng)、2013中科院院長(zhǎng)獎(jiǎng)、2012年計(jì)算所所長(zhǎng)特別獎(jiǎng)、2008年亞太大學(xué)生機(jī)器人大賽國(guó)內(nèi)賽和國(guó)際賽冠軍。參與起草發(fā)布了全球首個(gè)內(nèi)容自動(dòng)化生產(chǎn)標(biāo)準(zhǔn)《機(jī)器生產(chǎn)內(nèi)容自動(dòng)化分級(jí)》，相關(guān)技術(shù)在華為、淘寶、大華、華數(shù)傳媒等公司使用，服務(wù)于2022北京冬奧會(huì)等任務(wù)。

2024年11月 — 至今：中科院計(jì)算所，研究員

2017年9月 — 2024年11月：中科院計(jì)算所，副研究員

2016年5月 — 2017年9月：中科院計(jì)算所，助理研究員

2013年6月 — 2016年5月：中國(guó)科學(xué)院大學(xué)，博士后?

2008年7月 — 2013年6月：中國(guó)科學(xué)院計(jì)算技術(shù)研究所，工學(xué)博士

2004年9月 — 2008年7月：西安交通大學(xué)，電信學(xué)院，工學(xué)學(xué)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(huì)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(jiǎng).

[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(zhuān)利：

[1] 一種候選回答語(yǔ)句生成和自然語(yǔ)言選擇方法及系統(tǒng)（專(zhuān)利號(hào)：ZL201911017584.2）；

[2] 一種圖像分割、模型訓(xùn)練方法、裝置、設(shè)備及介質(zhì)（專(zhuān)利號(hào)：ZL202211076329.7）；

[3] 數(shù)據(jù)流的生成方法、電子設(shè)備及計(jì)算機(jī)可讀存儲(chǔ)介質(zhì)（專(zhuān)利號(hào)：ZL202211059878.3）；

[4] 目標(biāo)檢測(cè)模型的訓(xùn)練方法、目標(biāo)檢測(cè)方法及相關(guān)設(shè)備（專(zhuān)利號(hào)：ZL202211064180.0）；

[5] 一種有效的顯著性預(yù)測(cè)模型方法（專(zhuān)利號(hào)：ZL2019106264059）.