Dr. Yanbin Hao (郝艳宾, 郝艷賓)
Research Associate Professor (特任副研究员)
Ph.D in Signal and Information Processing (successive master-doctor program)
Google ScholarLab for Data Science (LDS)
Research Center for Data to Cyberspace (RCDC)
School of Information Science and Technology (信息科学技术学院(6系))
School of Data Science (大数据学院 SDS)
University of Science and Technology of China
Email: haoyanbin@hotmail.com
Short Bio
Yanbin Hao received the B.E. (ranked top 1 out of 87 students) and Ph.D. degrees from the Hefei University of Technology (HFUT) , Hefei, China, in 2012 and 2017, respectively. He is currently a Research Associate Professor, School of Data Science, School of Information Science and Technology, University of Science and Technology of China (USTC), China. His research interests mainly include machine learning and multimedia data analysis, such as large-scale multimedia indexing and retrieval, multimedia data embedding, and video understanding. He serves as a technical program committee (TPC) member for ACM MM, CVPR, ICCV, ECCV, NeuIPS, AAAI, IJCAI, etc., and reviewer for TIP, TMM, TNNLS, TKDE, TOMM, etc.Before joining USTC, he was a PhD student under the supervision of Prof. Jianguo Jiang, Prof. Richang Hong and Prof. Meng Wang in HFUT. During his PhD, he was also a visiting PhD (2015–2017) student under the supervision of Dr. Tingting Mu and Prof. Yannis Goulermas, Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K. During 2018-2020, he jointed the research group of Prof. Chong-Wah Ngo in the Department of Computer Science, City University of Hong Kong (CityU), as a Postdoc Fellow for projects: "Video Hyperlinking" and "Sport Video Analysis and Retrieval (體育視頻分析與檢索)".
Selected Publications
Conference
- Bi-directional Distribution Alignment for Transductive Zero-Shot Learning
code
Zhicai Wang, Yanbin Hao*, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He*, CVPR, 2023.
- CgT-GAN: CLIP-guided Text GAN for Image Captioning code
Jiarui Yu, Haoran Li, Yanbin Hao*, Bin Zhu, Tong Xu, Xiangnan He*, ACM MM, 2023.
- 3D Human Pose Estimation with Spatio-Temporal Criss-cross Attention code
Zhenhua Tang, Zhaofan Qiu, Yanbin Hao, Richang Hong, Ting Yao, CVPR, 2023.
- How Can Contrastive Pre-training Benefit Audio-Visual Segmentation? A Study from Supervised and Zero-shot Perspectives code
Jiarui Yu, Haoran Li, Yanbin Hao*, Jinmeng Wu, Tong Xu, Shuo Wang, Xiangnan He, BMVC, 2023.
- Semantic-based Selection, Synthesis, and Supervision for Few-shot Learning code
Jinda Lu, Shuo Wang, Xinyu Zhang, Yanbin Hao, Xiangnan He, ACM MM, 2023.
- Group Contextualization for Video Recognition code
Yanbin Hao, Hao Zhang*, Chong-Wah Ngo, Xiangnan He, CVPR, Poster, 2022.
- MF-GAN: Multi-conditional Fusion Generative Adversarial Network for Text-to-Image Synthesis
Yuyan Yang, Xin Ni, Yanbin Hao, Chenyu Liu, Wenshan Wang, Yifeng Liu and Haiyong Xie, MMM, Oral (Hornorable Mention Award), 2022.
- Unsupervised Video Hashing with Multi-granularity Contextualization and Multi-structure Preservation code
Yanbin Hao, Jingru Duan, Hao Zhang*, Bin Zhu, Pengyuan Zhou and Xiangnan He, ACM MM, poster, 2022.
- Long-term Leap Attention, Short-term Periodic Shift for Video Classification code
Hao Zhang, Lechao Cheng, Yanbin Hao* and Chong-Wah Ngo, ACM MM, oral, 2022.
- Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP code
Zhicai Wang, Yanbin Hao*, Xingyu Gao*, Hao Zhang, Shuo Wang, Tingting Mu and Xiangnan He, ACM MM, poster, 2022.
- Hierarchical Hourglass Convolutional Network for Efficient Video Classification code
Yi Tan, Yanbin Hao*, Hao Zhang, Shuo Wang and Xiangnan He*, ACM MM, poster, 2022.
- Multi-directional Knowledge Transfer for Few-Shot Learning
Shuo Wang, Xinyu Zhang, Yanbin Hao, Chengbing Wang and Xiangnan He*, ACM MM, poster, 2022.
- Token Shift Transformer for Video Classification code
Hao Zhang, Yanbin Hao*, Chong-Wah Ngo, ACM Multimedia (MM), Poster, 2021.
- Selective Dependency Aggregation for Action Classification code
Yi Tan, Yanbin Hao*, Xiangnan He, Yinwei Wei, Xun Yang, ACM Multimedia (MM), Poster, 2021.
- Motion Prediction Using Trajectory Cues
Zhenguang Liu, Pengxiang Su, Shuang Wu, Xuanjing Shen, Haipeng Chen, Yanbin Hao, Meng Wang, ICCV, 2021.
- NASTER: Non-local Attentional Scene Text Recognizer
Lei Wu, Xueliang Liu, Yanbin Hao, Yunjie Ma, Richang Hong, ICMR, 2021.
- Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
Z. Liu, K. Lyu, S. Wu, H. Chen, Y. Hao, S. Ji, Association for the Advancement of Artificial Intelligence (AAAI), 2021.
- Compact Bilinear Augmented Query Structured Attention for Sport Highlights Classification
Y. Hao, H. Zhang*, C.-W. Ngo, Q. Liu, X. Hu, ACM Multimedia (MM), Oral, 2020.
- Person-level Action Recognition in Complex Events via TSD-TSM networks
Y. Hao, Z.-N. Liu, H. Zhang*, B. Zhu, J. Chen, Y. Jiang, C.-W. Ngo, ACM Multimedia Workshop(MMW), 2020.
Rank 3rd in HiEve2020 Grand Challenge (Track-4）
- R2GAN: Cross-modal recipe retrieval with generative adversarial network
B. Zhu, C.-W. Ngo, J. Chen, and Y. Hao, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
- Cross-sentence Pre-trained model for Interactive QA matching
J. Wu and Y. Hao, Proceedings of The 12th Language Resources and Evaluation Conference, 2020.
2023
2022
2021
2020&before
Journal
- FTCM: Frequency-Temporal Collaborative Module for Efficient 3D Human Pose Estimation in Video
Zhenhua Tang, Yanbin Hao, Jia Li, Richang Hong, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.
- MLP-JCG: Multi-Layer Perceptron with Joint-Coordinate Gating for Efficient 3D Human Pose Estimation
Zhenhua Tang, Jia Li, Yanbin Hao, Richang Hong, IEEE Transactions on Multimedia (TMM), 2023.
- Boosting Hyperspectral Image Classification with Dual Hierarchical Learning
Shuo Wang, Huixia Ben, Yanbin Hao, Xiangnan He, Meng Wang, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2023.
- Spatio-Temporal Collaborative Module for Efficient Action Recognition
Yanbin Hao, Shuo Wang, Yi Tan, Xiangnan He, Zhenguang Liu, Meng Wang, IEEE Transactions on Image Processing (TIP), 2022.
- Attention in Attention: Modeling Context Correlation for Efficient Video Classification
Yanbin Hao, Shuo Wang, Pei Cao, Xinjian Gao, Tong Xu, Jinmeng Wu, Xiangnan He, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
- Learning to Match Anchor-Target Video Pairs with Dual Attentional Holographic Networks
Yanbin Hao*, Chong-Wah Ngo, Bin Zhu, IEEE Trans on Image Processing (TIP), 2021.
- Auxiliary Diagnosis for COVID-19 with Deep Transfer Learning
Hongtao Chen, Shuanshuan Guo, Yanbin Hao*, Yijie Fang, Zhaoxiong Fang, Wenhao Wu, Zhigang Liu, Shaolin Li*, Journal of Digital Imaging, 2021.
- Space-Time Separate Modeling for Efficient Video Classification
Pei Cao, Shuo Wang*, Jinmeng Wu, Yanbin Hao, Journal of Physics: Conference Series, 2021.
- Cross-domain sentiment encoding through stochastic word embedding
Y. Hao, T. Mu, R. Hong, M. Wang and J. Y. Goulermas, IEEE Trans on Knowledge and Data Engineering (TKDE), 2020.
- Neighbourhood structure preserving cross-modal embedding for video hyperlinking code
Y. Hao, C.-W. Ngo and B. Huet, IEEE Trans on Multimedia (TMM), 2019.
- Unsupervised t-distributed video hashing and its deep hashing extension
Y. Hao, T. Mu, J. Y. Goulermas, J. Jiang, R. Hong and M. Wang, IEEE Trans on Image Processing (TIP), 2017.
- Stochastic multiview hashing for large-scale near-duplicate video retrieval code
Y. Hao, T. Mu, R. Hong, M. Wang, N. An and J. Y. Goulermas, IEEE Trans on Multimedia (TMM), 2016.
- 3D human pose estimation via human structure-aware fully connected network
X. Zhang, Z. Tang, J. Hou and Y. Hao, Pattern Recognition Letters, 2019.