Rui Shao (邵睿)Professor, HIT (Shenzhen)
School of Computer Science and Technology,
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I am currently a Professor at School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). Prior to that, I was a postdoc at Nanyang Technological University, Singapore, working with Prof. Ziwei Liu and Prof. Chen Change Loy.
I received my PhD degree from Department of Computer Science, Hong Kong Baptist University in 2021, supervised by Prof. Pong C. Yuen, and my bachelor degree from School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC) in 2015. I also spent a memorable high-school time in Shenzhen Foreign Languages School. I visited the Johns Hopkins University for 6 months in 2020.
My current research focuses on Multi-Modal Large Language Model (MLLM)- JiuTian , multi-modal learning (e.g., vision-language pre-training and content generation) and its trustworthy issues.
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LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge Gongwei Chen, Leyang Shen, Rui Shao†, Xiang Deng, Liqiang Nie† [arXiv] [Code] [Project Page] |
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Detecting and Grounding Multi-Modal Media Manipulation and Beyond Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu [arXiv] [Code] |
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DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection Rui Shao, Tianxing Wu, Liqiang Nie, Ziwei Liu [arXiv] [Code] |
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Robust Sequential DeepFake Detection Rui Shao, Tianxing Wu, Ziwei Liu [arXiv] [Code] |
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Detecting and Grounding Multi-Modal Media Manipulation Rui Shao, Tianxing Wu, Ziwei LiuIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [arXiv] [Code] [Project Page] [Press] |
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Video Infilling with Rich Motion Prior Xinyu Hou, Liming Jiang, Rui Shao, Chen Change LoyBritish Machine Vision Conference (BMVC), 2023. [arXiv] [Code] |
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Detecting and Recovering Sequential DeepFake Manipulation Rui Shao, Tianxing Wu, Ziwei LiuEuropean Conference on Computer Vision (ECCV), 2022. [arXiv] [Code] [Project Page] [Poster] [Press1] [Press2] [Press3] [Press4] |
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Open-set Adversarial Defense with Clean-Adversarial Mutual Learning Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. PatelInternational Journal of Computer Vision (IJCV), 2022 [arXiv] [PDF] [Code] |
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Federated Generalized Face Presentation Attack Detection Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. PatelIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [arXiv] [PDF] [Code] |
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Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation Rui Shao, Bochao Zhang, Pong C. Yuen, Vishal M. PatelIEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021 [arXiv] [PDF] |
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Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification Chong Yin, Siqi Liu, Rui Shao, Pong C. Yuen,Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021 [PDF] |
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Open-set Adversarial Defense Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. PatelEuropean Conference on Computer Vision (ECCV), 2020 [arXiv] [PDF] [Code] |
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Regularized Fine-grained Meta Face Anti-spoofing Rui Shao, Xiangyuan Lan, Pong C. YuenThirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020 [arXiv] [PDF] [Poster] [Code] |
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Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection Rui Shao, Xiangyuan Lan, Jiawei Li, Pong C. YuenIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 [PDF] [Poster] [Code] [Model] |
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Joint Discriminative Learning of Deep Dynamic Textures for 3D Mask Face Anti-spoofing Rui Shao, Xiangyuan Lan, Pong C. YuenIEEE Transactions on Information Forensics and Security (TIFS), 2019 [PDF] [Code] |
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Adversarial Auto-encoder for Unsupervised Deep Domain Adaptation Rui Shao, Xiangyuan LanIET Image Processing. (IET-IPR), 2019 [PDF] |
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Feature Constrained by Pixel: Hierarchical Adversarial Deep Domain Adaptation Rui Shao, Xiangyuan Lan, Pong C. YuenACM international conference on Multimedia (ACM MM), 2018 [PDF] [Poster] [Code] |
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Deep Convolutional Dynamic Texture Learning with Adaptive Channel-discriminability for 3D Mask Face Anti-spoofing Rui Shao, Xiangyuan Lan, Pong C. YuenInternational Joint Conference on Biometrics (IJCB), 2017 [PDF] |
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Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System Xiangyuan Lan, Mang Ye, Rui Shao, Bineng Zhong, Pong C. Yuen, Huiyu ZhouIEEE Transactions on Industrial Electronics (TIE), 2019 [PDF] |
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