General
Guorong Li received her B.S. degree in technology of computer application from Renmin University of China, in 2006 and Ph.D. degree in technology of computer application from the Graduate University of the Chinese Academy of Sciences in 2012. Since 2017, she has been an associate professor at the University of Chinese Academy of Sciences. Her research interests include object tracking, video analysis, pattern recognition, and cross-media analysis.
Email: liguorong at ucas dot ac don cn
Research Areas
- Multimedia Computing, Computer Vision, UAV Video Analysis
Experience
Work Experience
- Sep. 2023- Present University of Chinese Academy of Sciences, Tenured Associate Professor
- Dec.2016 - Aug. 2023 University of Chinese Academy of Sciences, Associate Professor
- Sep. 2017- Sep. 2018 Boston University, Visiting Scholar
- Jan. 2015- Nov. 2016 University of Chinese Academy of Sciences, Lecturer
- Jun. 2012- Dec. 2014 University of Chinese Academy of Sciences, Postdoctor
Publications
Journal Paper:
- Xinyan Liu, Guorong Li*, Yuanki Qi, Ziheng Yan, Weigang Zhang, Qingming Huang, “Dynamic Example Network for Class Agnostic Counting and Localization”, Pattern Recognition, 2025.
- Chen Zhang, Guorong Li*, Yuankai Qi, Hanhua Ye, Laiyun Qing, Ming-Hsuan Yang, Qingming Huang, “Dynamic Erasing Network with Adaptive Temporal Modeling for Weakly Supervised Video Anomaly Detection”, TNNLS 2025.
- Hengyou Li†, Xinyan Liu†, Guorong Li*, Shuhui Wang, Laiyun Qing, Qingming Huang, “Boost Tracking by Natural Language with Prompt-Guided Grounding”, IEEE Transactions on Intelligent Transportation Systems 26(1): 2025.
- Mingkai Tian, Guorong Li*, Yuankai Qi, Shuhui Wang, Quan Z. Sheng, Qingming Huang, “Rethink video retrieval representation for video captioning”, Pattern Recognition, 26: 110744,2024.
- Xinyan Liu, Guorong Li*, Yuankai Qi, Zhenjun Han, Anton van den Hengel, Nicu Sebe, Ming-Hsuan Yang, Qingming Huang*, “Consistency-Aware Anchor Pyramid Network for Crowd Localization”, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence 2024.
- Xuehui Yu, Pengfei Chen, Kuiran Wang, Xumeng Han, Guorong Li, Zhenjun Han, Qixiang Ye, Jianbin Jiao, “CPR++: Object Localization via Single Coarse Point Supervision”, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence 2024.
- Guorong Li, Hanhua Ye, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang, “Learning Hierarchical Modular Networks for Video Captioning”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(2): 1049-1064, 2024.
- Guorong Li, Dexiang Hong, Kai Xu, Bineng Zhong, Li Su, Zhenjun Han, Qingming Huang, “Self Supervised Progressive Network for High Performance Video Object Segmentation”, IEEE Transactions on Neural Networks and Learning Systems, 2023.
- Ziheng Yan, Yuankai Qi, Guorong Li*, Xinyan Liu, Weigang Zhang, Ming-Hsuan Yang, Qingming Huang, “Progressive Multi-resolution Loss for Crowd Counting”, IEEE Transactions on Circuits and Systems for Video Technology, 2023.
- Weidong Chen, Guorong Li*, Xinfeng Zhang, Shuhui Wang, Liang Li, Qingming Huang, “Weakly Supervised Text-based Actor-Action Video Segmentation by Clip-level Multi-instance Learning”, ACM TOMM, 19(1): 1-22, 2023.
- Xumeng Han, Xuehui Yu, Guorong Li, Jian Zhao, Gang Pan, Qixiang Ye, Jianbin Jiao, Zhenjun Han, “Rethinking sampling strategies for unsupervised person re-identification”, IEEE Transactions on Image Processing, 32:26-42, 2022.
- Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji, Zhenjun Tang, Xianxian Li, “SiamBAN: Target-Aware Tracking With Siamese Box Adaptive Network”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4): 5158 – 5173, 2023.
- Jie Ma, Xiangyuan Lan, Bineng Zhong, Guorong Li, Zhenjun Tang, Xianxian Li, Rongrong Ji, “Robust Tracking via Uncertainty-aware Semantic Consistency”, IEEE Transactions on Circuits and Systems for Video Technology, 33(4): 1740-1751.
- Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang, “A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4): 4090 – 4108, 2023.
- Chen Zhang, Guorong Li*, Qianqian Xu, Xinfeng Zhang, Li Su, Qingming Huang, “Weakly Supervised Anomaly Detection in Videos Considering the Openness of Events”, IEEE Transactions on Intelligent Transportation Systems, 23 (11): 21687-21699, 2022.
- 徐凯,李国荣,洪德祥,张维刚,齐元凯,黄庆明,结合在线归纳和直推推理的快速视频目标分割方法,计算机学报,45(10): 2117-2132.
- Kai Xu, Longyin Wen, Guorong Li*, Qingming Huang, “Self-Supervised Deep TripleNet for Video Object Segmentation”, IEEE Transactions on Multimedia, 23:3530-3539, 2021.
- Kai Xu, Longyin Wen, Guorong Li*, Honggang Qi, Liefeng Bo, Qingming Huang, “Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer”, IEEE Transactions on Image Processing, 30:2501-2512,2021.
- Yifan Yang, Guorong Li*, Dawei D, Qingming Huang, Nicu Sebe, “Embedding Perspective Analysis into Multi-Column Convolutional Neural Network for Crowd Counting”, 30: 1395-1407, IEEE Transactions on Image Processing, 2021.
- Hongyang Yu, Guorong Li*, Weigang Zhang, Qingming Huang, Dawei Du, Qi Tian, Nicu Sebe, “The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline”, International Journal of Computer Vision,128(5): 1141-1159, 2020.
- Hongyang Yu, Guorong Li, Li Su, Bineng Zhong, Hongxun Yao, Quan Huang, Conditional GAN based individual and global motion fusion for multiple object tracking in UAV videos, Pattern Recognition Letters 131, 219-226,2020.
- Zhe Xue, Guorong Li*, Shuhui Wang, Jun Huang, Weigang Zhang, Qingming Huang, “Beyond global fusion: A group-aware fusion approach for multi-view image clustering”, Information Sciences, 493: 176-191, 2019.
- Zhe Xue, Guorong Li*, Qingming Huang*, “Joint Multi-view Representation and Image Annotation via Optimal Predictive Subspace Learning”, Information Sciences, 2018, 451: 180-194.
- Liang Zhang, Bingpeng Ma, Guorong Li, Qingming Huang and Qi Tian, “Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval”, IEEE Transactions on Multimedia, 2018,20(1): 128-141.
- Jun Huang, Guorong Li*, Qingming Huang*, Xindong Wu, “Joint Feature Selection and Classification for Multilabel Learning”, IEEE Transactions on Cybernetics, 2018, 48(3): 876-889.
- Zhe Xue, Guorong Li*, Shuhui Wang, Weigang Zhang, Qingming Huang*, “Bi-Level Multi-View Latent Space Learning”, IEEE Transactions on Circuits and Systems for Video Technology, 2018, 28(2): 327-341.
- Jun Huang, Guorong Li*, Zhe Xue, Shuhui Wang and Qingming Huang, “Multi-label classification by exploiting local positive and negative pairwise label correlation”, Vol 257, pp. 164-174, Neurocomputing, 2017.
- Liang Zhang, Bingpeng Ma, Guorong Li, Qingming Huang, Qi Tian, “Cross-Modal Retrieval Using Multiordered Discriminative Structured Subspace Learning”, IEEE Trans. Multimedia 19(6): 1220-1233, 2017.
- Jun Huang, Guorong Li*, Qingming Huang* and Xindong Wu, “Learning Label-specific Features and Class-Dependent Labels for Multi-Label Classification”, IEEE Transactions on Knowledge and Data Engineering, 28(12):3309-3323, 2016.
- Guorong Li, Bingpeng Ma, Jun Huang, Qingming Huang and Weigang Zhang, “Beyond Appearance Model: Learning Appearance Variations for Object Tracking”, Neurocomputing, 214(19):796-804, 2016.
- Lingyang Chu, Yanyang Zhang, Guorong Li*, Shuhui Wang, Weigang Zhang and Qingming Huang, “Effective Multi-modality Fusion Framework For Cross-media Topic Detection”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 26(3):556-569, 2016.
- Guorong Li, Qingming Huang, Shuqiang Jiang, Yingkun Xu, Weigang Zhang, “Online Learning Affinity Measure with CovBoost for Multi-target Tracking”, Neurocomputing, 168: 327-335, 2015.
- Guorong Li, Qingming Huang, Lei Qin, Shuqiang Jiang, “SSOCBT: A Robust Semi-Supervised Online CovBoost Tracker by Using Samples Differently”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 23(4): 695-709, 2013.
- Guorong Li, Wei Qu, Qingming Huang, “A Multiple Targets Appearance Tracker based on Object Interaction Model”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 22(3):450-464, 2012.
- Guorong Li, Qingming Huang, Junbiao Pang, Shuqiang Jiang, Lei Qin, “Online Selection of the Best k-Feature Subset for Object Tracking”, J. Visual Communication and Image Representation (JVCIR) 23(2): 254-263, 2012.