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ORCIDRui Shao 0001
Person information
- unicode name: 邵睿
- affiliation: Harbin Institute of Technology (Shenzhen), School of Computer Science and Technology, China
- affiliation (2021 - 2023): Nanyang Technological University, Singapore
- affiliation (PhD 2021): Hong Kong Baptist University, Department of Computer Science, Hong Kong
Other persons with the same name
- Rui Shao — disambiguation page
- Rui Shao 0002 — Wuhan University, School of Computer, National Engineering Research Center for Multimedia Software, China
- Rui Shao 0003
![[0000-0002-6540-7835]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6540-7835")
— Zhejiang University, College of Computer Science and Technology, Hangzhou, China
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2020 – today
- 2025
[j9]Rui Shao, Tianxing Wu, Ziwei Liu:
Robust Sequential DeepFake Detection. Int. J. Comput. Vis. 133(6): 3278-3295 (2025)- [j8]Rui Shao, Tianxing Wu, Liqiang Nie, Ziwei Liu:
DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection. Int. J. Comput. Vis. 133(6): 3613-3628 (2025) - [c16]Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao:
Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. ICLR 2025 - [i25]Renshan Zhang, Rui Shao, Gongwei Chen, Kaiwen Zhou, Weili Guan, Liqiang Nie:
FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers. CoRR abs/2501.16297 (2025) - [i24]Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie:
Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy. CoRR abs/2502.19902 (2025) - [i23]Wei Li, Bing Hu, Rui Shao, Leyang Shen, Liqiang Nie:
LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant. CoRR abs/2503.03663 (2025) - [i22]Yunxiao Wang, Meng Liu, Rui Shao, Haoyu Zhang, Bin Wen, Fan Yang, Tingting Gao, Di Zhang, Liqiang Nie:
TIME: Temporal-sensitive Multi-dimensional Instruction Tuning and Benchmarking for Video-LLMs. CoRR abs/2503.09994 (2025) - [i21]Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie:
Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation. CoRR abs/2503.10743 (2025) - [i20]Junpeng Jiang, Gangyi Hong, Miao Zhang, Hengtong Hu, Kun Zhan, Rui Shao, Liqiang Nie:
DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformer. CoRR abs/2504.19614 (2025) - 2024
- [j7]Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu:
Detecting and Grounding Multi-Modal Media Manipulation and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5556-5574 (2024) - [j6]Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Federated Generalized Face Presentation Attack Detection. IEEE Trans. Neural Networks Learn. Syst. 35(1): 103-116 (2024) - [c15]Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie:
LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. CVPR 2024: 26530-26540 - [c14]Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Y. Wang, Liqiang Nie:
RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. ICML 2024 - [c13]Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie:
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks. NeurIPS 2024 - [c12]Leyang Shen, Gongwei Chen, Rui Shao, Weili Guan, Liqiang Nie:
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models. NeurIPS 2024 - [i19]Zaijing Li, Gongwei Chen, Rui Shao, Dongmei Jiang, Liqiang Nie:
Enhancing the Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought. CoRR abs/2401.06836 (2024) - [i18]Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Yu Wang, Liqiang Nie:
RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. CoRR abs/2404.04929 (2024) - [i17]Leyang Shen, Gongwei Chen, Rui Shao, Weili Guan, Liqiang Nie:
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models. CoRR abs/2407.12709 (2024) - [i16]Renshan Zhang, Yibo Lyu, Rui Shao, Gongwei Chen, Weili Guan, Liqiang Nie:
Token-level Correlation-guided Compression for Efficient Multimodal Document Understanding. CoRR abs/2407.14439 (2024) - [i15]Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie:
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks. CoRR abs/2408.03615 (2024) - [i14]Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao:
SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation. CoRR abs/2410.15164 (2024) - 2023
- [c11]Rui Shao, Tianxing Wu, Ziwei Liu:
Detecting and Grounding Multi-Modal Media Manipulation. CVPR 2023: 6904-6913 - [c10]Bochao Zhang, Rui Shao, Jingda Du, Pong C. Yuen, Wei Luo:
Tackling Model Mismatch with Mixup Regulated Test-Time Training. DSAA 2023: 1-7 - [i13]Rui Shao, Tianxing Wu, Ziwei Liu:
Detecting and Grounding Multi-Modal Media Manipulation. CoRR abs/2304.02556 (2023) - [i12]Rui Shao, Tianxing Wu, Liqiang Nie, Ziwei Liu:
DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection. CoRR abs/2306.00863 (2023) - [i11]Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu:
Detecting and Grounding Multi-Modal Media Manipulation and Beyond. CoRR abs/2309.14203 (2023) - [i10]Rui Shao, Tianxing Wu, Ziwei Liu:
Robust Sequential DeepFake Detection. CoRR abs/2309.14991 (2023) - [i9]Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie:
LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. CoRR abs/2311.11860 (2023) - 2022
- [j5]Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Open-Set Adversarial Defense with Clean-Adversarial Mutual Learning. Int. J. Comput. Vis. 130(4): 1070-1087 (2022) - [c9]Rui Shao, Tianxing Wu, Ziwei Liu:
Detecting and Recovering Sequential DeepFake Manipulation. ECCV (13) 2022: 712-728 - [i8]Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning. CoRR abs/2202.05953 (2022) - [i7]Rui Shao, Tianxing Wu, Ziwei Liu:
Detecting and Recovering Sequential DeepFake Manipulation. CoRR abs/2207.02204 (2022) - [i6]Bochao Zhang, Rui Shao, Jingda Du, Pong C. Yuen:
Mixup for Test-Time Training. CoRR abs/2210.01640 (2022) - 2021
- [c8]Rui Shao, Bochao Zhang, Pong C. Yuen, Vishal M. Patel:
Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation. FG 2021: 1-8 - [c7]Chong Yin, Siqi Liu, Rui Shao, Pong C. Yuen:
Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification. MICCAI (5) 2021: 153-162 - [i5]Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Federated Generalized Face Presentation Attack Detection. CoRR abs/2104.06595 (2021) - [i4]Rui Shao, Bochao Zhang, Pong C. Yuen, Vishal M. Patel:
Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation. CoRR abs/2110.12613 (2021) - 2020
- [c6]Rui Shao, Xiangyuan Lan, Pong C. Yuen:
Regularized Fine-Grained Meta Face Anti-Spoofing. AAAI 2020: 11974-11981 - [c5]Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Open-Set Adversarial Defense. ECCV (17) 2020: 682-698 - [i3]Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Federated Face Anti-spoofing. CoRR abs/2005.14638 (2020) - [i2]Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Open-set Adversarial Defense. CoRR abs/2009.00814 (2020)
2010 – 2019
- 2019
- [j4]Xiangyuan Lan, Mang Ye, Rui Shao, Bineng Zhong, Deepak Kumar Jain, Huiyu Zhou:
Online Non-Negative Multi-Modality Feature Template Learning for RGB-Assisted Infrared Tracking. IEEE Access 7: 67761-67771 (2019) - [j3]Rui Shao, Xiangyuan Lan:
Adversarial auto-encoder for unsupervised deep domain adaptation. IET Image Process. 13(14): 2772-2777 (2019) - [j2]Xiangyuan Lan, Mang Ye, Rui Shao, Bineng Zhong, Pong C. Yuen, Huiyu Zhou:
Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System. IEEE Trans. Ind. Electron. 66(12): 9887-9897 (2019) - [j1]Rui Shao, Xiangyuan Lan, Pong C. Yuen:
Joint Discriminative Learning of Deep Dynamic Textures for 3D Mask Face Anti-Spoofing. IEEE Trans. Inf. Forensics Secur. 14(4): 923-938 (2019) - [c4]Rui Shao, Xiangyuan Lan, Jiawei Li, Pong C. Yuen:
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection. CVPR 2019: 10023-10031 - [i1]Rui Shao, Xiangyuan Lan, Pong C. Yuen:
Regularized Fine-grained Meta Face Anti-spoofing. CoRR abs/1911.10771 (2019) - 2018
- [c3]Rui Shao, Xiangyuan Lan, Pong C. Yuen:
Feature Constrained by Pixel: Hierarchical Adversarial Deep Domain Adaptation. ACM Multimedia 2018: 220-228 - 2017
- [c2]Zinelabdine Boulkenafet, Jukka Komulainen, Zahid Akhtar, Azeddine Benlamoudi, Djamel Samai, Salah Eddine Bekhouche, Abdelkrim Ouafi, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Le Qin, Fei Peng, L. B. Zhang, Min Long, Shruti Bhilare, Vivek Kanhangad, Artur Costa-Pazo, Esteban Vázquez-Fernández, Daniel Pérez-Cabo, J. J. Moreira-Perez, Daniel González-Jiménez, Amir Mohammadi, Sushil Bhattacharjee, Sébastien Marcel, Svetlana Volkova, Y. Tang, N. Abe, L. Li, X. Feng, Z. Xia, X. Jiang, S. Liu, Rui Shao, Pong C. Yuen, Waldir R. de Almeida, Fernanda A. Andaló, Rafael Padilha, Gabriel Bertocco, William Dias, Jacques Wainer, Ricardo da Silva Torres, Anderson Rocha, Marcus A. Angeloni, Guilherme Folego, Alan Godoy, Abdenour Hadid:
A competition on generalized software-based face presentation attack detection in mobile scenarios. IJCB 2017: 688-696 - [c1]Rui Shao, Xiangyuan Lan, Pong C. Yuen:
Deep convolutional dynamic texture learning with adaptive channel-discriminability for 3D mask face anti-spoofing. IJCB 2017: 748-755
Coauthor Index
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