Introduction:

Name:Yue Gao
Position: Associate Professor
Address: www.gaoyue.org
Email: gaoyue at tsinghua.edu.cn


Education background:

2008—2012, Tsinghua University, Ph.D.
2005—2008, Tsinghua University, Master
2001—2005, Harbin Institute of Technology, BE


Experience:

2016—now,  School of Software, Tsinghua University
2014—2016, University of North Carolina at Chapel Hill, Postdoctoral Research Associate
2012—2014, National University of Singapore, Research Fellow


Concurrent Academic:

IEEE Transactions on Signal and Information Processing over Networks, Associate Editor
Journal of Visual Communication and Image Representation, Editorial Board
Area Chair/SPC/PC for MICCAI/CVPR/ICCV/AAAI/IJCAI/ICME/ICIP etc.
Reviewer for TPAMI/TMI/TIP/TNNLS/TKDE etc.


Areas of Research Interests/ Research Projects:

3D Vision, Complex Network, Medical Image Analysis


Honors And Awards:

2019 Clarivate Highly Cited Researcher
2018 Clarivate Highly Cited Researcher
2018 First Prize of Science and Technology Progress Award, Fujian Province (2nd contributor)
2018 Best Student Paper of Pacific Conference on Multimedia
2015 Best paper runner-up of International Conference on Multimedia Modeling
2013 Best student paper of ACM Conf. on Multimedia
2012 Best demo runner up of ACM Conf. on Multimedia


Academic Achievement:

Selected Publications:
Books
[1] Yue Gao, Qionghai Dai: View-based 3-D Object Retrieval, Elsevier, ISBN: 978-0-12-802419-5, 2014.
[2] Rongrong Ji, Yue Gao, Ling-Yu Duan, Hongxun Yao, and Qionghai Dai, Learning-Based Local Visual Representation and Indexing, Elsevier, ISBN: 978-0-12-802409-6, 2015.

Selected Journal Articles
[1] Chenggang Yan, Biao Gong, Yuxuan Wei, Yue Gao, Deep Multi-View Enhancement Hashing for Image Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
[2] Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Deyu Meng, Yue Gao, Chunhua Shen, Plenty Is Plague: Fine-Grained Learning for Visual Question Answering, IEEE Transactions on Pattern Analysis and Machine Intelligence. 2020.
[3] Nan Wang, Zizhao Zhang, Xibin Zhao, Quan Miao, Rongrong Ji, Yue Gao, Imbalance High-Order Manifold Learning for Industrial Data Classification, IEEE Transactions on Industrial Electronics. 2020.
[4] Xibin Zhao, Nan Wang, Yubo Zhang, Shaoyi Du, Yue Gao, Jiaguang Sun, Beyond Pairwise Matching: Person Re-identification via High-Order Relevance Learning. IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8, pp. 3701 - 3714, 2018.
[5] Zizhao Zhang, Haojie Lin, Xibin Zhao, Rongrong Ji, Yue Gao, Inductive Multi-Hypergraph Learning for View-Based 3D Object Classification, IEEE Transactions on Image Processing, vol. 27, no. 12, pp. 5957-5968, 2018.
[6] Jiayang Guo, Kun Yang, Hongyi Liu, Chunli Yin, Jing Xiang, Hailong Li, Rongrong Ji, Yue Gao, A Stacked Sparse Autoencoder-based Detector for Diagnosis of Neuromagnetic High Frequency Oscillations in Epilepsy, IEEE Transactions on Medical Imaging. 2018.
[7] Sicheng Zhao, Yue Gao, Guiguang Ding, Tat-Seng Chua, Real-Time Multimedia Social Event Detection in Microblog, IEEE Transactions on Cybernetics, vol. 48, no. 11, pp. 3218-3231, 2018.
[8] Yue Gao, Yi Zhen, Haojie Li, Tat-Seng Chua, Filtering of Brand-related Microblogs using Social-Smooth Multiview Embedding, IEEE Transactions on Multimedia, 2016.
[9] Yue Gao, Rongrong Ji, Wei Liu, Qionghai Dai, Gang Hua: Weakly Supervised Visual Dictionary Learning by Harnessing Image Attributes, IEEE Transactions on Image Processing, vol. 23, no. 12, pp. 5300-5311, 2014.
[10] Yue Gao, Rongrong Ji, Peng Cui, Qionghai Dai, Gang Hua: Hyperspectral Image Classification Through Bilayer Graph Based Learning, IEEE Transactions on Image Processing, vol. 23, no. 7, pp. 2769-2778, 2014.

Selected Conference Papers
[1] Yubo Zhang, Nan Wang, Changqing Zou, Yufeng Chen, Hai Wan, Xibin Zhao, Yue Gao, Hypergraph Label Propagation Network, AAAI 2020.
[2] Jianwen Jiang, Ziqiang Chen, Haojie Lin, Xibin Zhao and Yue Gao, Question-Guided Spatial-Temporal Attention for Video Question Answering, AAAI 2020.
[3] Siqi Li, Changqing Zou, Yipeng Li, Xibin Zhao, Yue Gao, Attention Based Multi-modal Fused Network for Semantic Scene Completion, AAAI 2020.
[4] Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang, Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation, ICCV, 2019.
[5] Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao, PVRNet: Point-View Relation Neural Network for 3D Shape Recognition, AAAI 2019.
[6] Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao, Hypergraph Neural Networks, AAAI 2019.
[7] Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao, Yue Gao, Dynamic Hypergraph Neural Networks, IJCAI 2019.
[8] Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao, GVCNN, Group-View Convolutional Neural Networks for 3D Shape Recognition, CVPR 2018.
[9] Haoxuan You, Yifan Feng, Rongrong Ji, Yue Gao, PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition, ACM Conference on Multimedia, 2018.
[10] Zizhao Zhang, Haojie Lin, Yue Gao, Dynamic Hypergraph Structure Learning, IJCAI, 2018.