1. 2022.10至今     中国科学院自动化研究所 紫东太初大模型研究中心 研究员
2. 2015.11—2022.09 中国科学院自动化研究所 模式识别国家重点实验室 研究员
3. 2010.11—2015.10 中国科学院自动化研究所 模式识别国家重点实验室 副研究员
4. 2008.01—2010.10 中国科学院自动化研究所 模式识别国家重点实验室 助理研究员
5. 2004.09—2008.01 中国科学院自动化研究所 博士
6. 2001.09—2004.06 山东大学 硕士
7. 1997.09—2001.06 山东大学 本科

视频图像分析与理解；视觉与语言；多媒体分析与检索

承担或参与十余项国家自然科学基金项目、国家973项目、国家基金重大研究计划、国家重点研发项目、新一代人工智能国家科技重大专项等。

1. Jiawei Liu, Weining Wang, Sihan Chen, Xinxin Zhu, Jing Liu: Sounding Video Generator: A Unified Framework for Text-Guided Sounding Video Generation. IEEE Transactions on Multimedia.2024,  26: 141-153
2. Mingzhen Sun, Weining Wang, Zihan Qin, Jiahui Sun, Sihan Chen, Jing Liu*. GLOBER: Coherent Non-Autoregressive Video Generation via GLOBal Guided Video DecodER. NeurIPS, 2024
3. Sihan Chen, Xingjian He, Handong Li, Xiaojie Jin, Jiashi Feng, Jing Liu*, COSA: Concatenated Sample Pretrained Vision Language Foundation Model, ICLR, 2024
4. Wenxuan Wang, Tongtian Yue, Yisi Zhang, Longteng Guo, Xingjian He, Xinlong Wang, Jing Liu*, Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation, CVPR, 2024
5. Tongtian Yue, Jie Cheng, Longteng Guo, Xingyuan Dai, Zijia Zhao, Gang Xiong, Yisheng Lv, Jing Liu*, SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models, CVPR, 2024
6. Ruyi Ji, Jiaying Li, Libo Zhang, Jing Liu, Yanjun Wu: Dual Transformer With Multi-Grained Assembly for Fine-Grained Visual Classification. IEEE Trans. Circuits Syst. Video Technol. 2023, 33(9): 5009-5021
7. Fei Liu, Jing Liu, Richang Hong, Hanqing Lu: Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering. IEEE Trans. Neural Networks Learn. Syst. 2023, 34(3): 1367-1379
8. Zhao, Zijia, Guo, Longteng, He, Xingjian, Shao, Shuai, Yuan, Zehuan, Liu, Jing. MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning. SIGIR. 2023
9. Yanyuan Qiao, Yuankai Qi, Zheng Yu, Jing Liu, Qi Wu: March in Chat: Interactive Prompting for Remote Embodied Referring Expression. ICCV, 2023: 15712-15721
10. Mingzhen Sun, Weining Wang, Xinxin Zhu, Jing Liu: MOSO: Decomposing MOtion, Scene and Object for Video Prediction. CVPR, 2023: 18727-18737
11. Zikang Liu, Sihan Chen, Longteng Guo, Handong Li, Xingjian He, Jing Liu*. Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner. ACM MM, 2023: 5120-5131
12. Jie Jiang, Jing Liu, Jun Fu, Xinxin Zhu, Zechao Li, Hanqing Lu: Global-Guided Selective Context Network for Scene Parsing. IEEE Trans. Neural Networks Learn. Syst. 2022, 33(4): 1752-1764
13. Xingjian He, Jing Liu, Wei-Ning Wang, Hanqing Lu. An Efficient Sampling-Based Attention Network for Semantic Segmentation. IEEE Transactions on Image Processing, 2022, 31: 2850- 2863
14. Jun Fu, Jing Liu, Jie Jiang, Yong Li, Yongjun Bao, Hanqing Lu. Scene Segmentation with Dual Relation-Aware Attention Network. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(6): 2547-2560
15. Fei Liu, Jing Liu*, Richang Hong, Hanqing Lu. Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering. IEEE Transactions on Neural Networks and Learning Systems, 2021, 34(3): 1367-1379
16. Fei Liu, Jing Liu*, Zhiwei Fang, Richang Hong, Hanqing Lu. Visual Question Answering with Dense Inter- and Intra-Modality Interactions. IEEE Transactions on Multimedia, 2021, 23: 3518- 3529
17. Fei Liu, Jing Liu*, Weining Wang, Hanqing Lu. HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering. International Conference on Computer Vision (ICCV), 2021: 1698-1707
18. Zhiwei Fang, Jing Liu, Xueliang Liu, Qu Tang, Yong Li, Hanqing Lu: BTDP: Toward Sparse Fusion with Block Term Decomposition Pooling for Visual Question Answering. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 50:1-50:21 (2019)
19. Jun Fu, Jing Liu*, Yong Li, Yuhang Wang, Hanqing Lu. Dual Attention Network for Scene Segmentation. CVPR, 2019: 3146-3154
20. Zechao Li, Jing Liu*, Jinhui Tang, Hanqing Lu. Robust Structured Subspace Learning for Data Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(10): 2085-2098

荣获2022年度中国电子学会自然科学一等奖，2018年度获得中国图象图形学学会科学技术二等奖，2022年度世界人工智能大会最高奖项卓越人工智能引领者奖，2023年度中国算力大会突破成果奖，2022-2023连续两年入选全球前 2%顶尖科学家。

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