Rui Shao

According to our database, Rui Shao authored at least 44 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey.

Rui Shao, Wei Li, Lingsen Zhang, Renshan Zhang, Zhiyang Liu, Ran Chen, Liqiang Nie

CoRR, August, 2025

UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries.

Yijie Zhu, Lingsen Zhang, Zitong Yu, Rui Shao, Tao Tan, Liqiang Nie

CoRR, July, 2025

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning.

Yibo Lyu, Rui Shao, Gongwei Chen, Yijie Zhu, Weili Guan, Liqiang Nie

CoRR, July, 2025

Less is More: Empowering GUI Agent with Context-Aware Simplification.

Gongwei Chen, Xurui Zhou, Rui Shao, Yibo Lyu, Kaiwen Zhou, Shuai Wang, Wentao Li, Yinchuan Li, Zhongang Qi, Liqiang Nie

CoRR, July, 2025

DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection.

Rui Shao, Tianxing Wu, Liqiang Nie, Ziwei Liu

Int. J. Comput. Vis., June, 2025

Robust Sequential DeepFake Detection.

Rui Shao, Tianxing Wu, Ziwei Liu

Int. J. Comput. Vis., June, 2025

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills.

Yuquan Xie, Zaijing Li, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Dongmei Jiang, Liqiang Nie

CoRR, June, 2025

Optimus-3: Towards Generalist Multimodal Minecraft Agents with Scalable Task Experts.

Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Weili Guan, Dongmei Jiang, Liqiang Nie

CoRR, June, 2025

STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization.

Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie

CoRR, June, 2025

DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformer.

Junpeng Jiang, Gangyi Hong, Miao Zhang, Hengtong Hu, Kun Zhan, Rui Shao, Liqiang Nie

CoRR, April, 2025

TIME: Temporal-sensitive Multi-dimensional Instruction Tuning and Benchmarking for Video-LLMs.

Yunxiao Wang, Meng Liu, Rui Shao, Haoyu Zhang, Bin Wen, Fan Yang, Tingting Gao, Di Zhang, Liqiang Nie

CoRR, March, 2025

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers.

Renshan Zhang, Rui Shao, Gongwei Chen, Kaiwen Zhou, Weili Guan, Liqiang Nie

CoRR, January, 2025

Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy.

Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant.

Wei Li, Bing Hu, Rui Shao, Leyang Shen, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation.

Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent.

Bin Xie, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Jie Liu, Min Zhang, Liqiang Nie

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Detecting and Grounding Multi-Modal Media Manipulation and Beyond.

Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Federated Generalized Face Presentation Attack Detection.

Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Token-level Correlation-guided Compression for Efficient Multimodal Document Understanding.

Renshan Zhang, Yibo Lyu, Rui Shao, Gongwei Chen, Weili Guan, Liqiang Nie

CoRR, 2024

RoboMP²: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models.

Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Yu Wang, Liqiang Nie

CoRR, 2024

Enhancing the Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought.

Zaijing Li, Gongwei Chen, Rui Shao, Dongmei Jiang, Liqiang Nie

CoRR, 2024

MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models.

Leyang Shen, Gongwei Chen, Rui Shao, Weili Guan, Liqiang Nie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks.

Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models.

Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Y. Wang, Liqiang Nie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge.

Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Tackling Model Mismatch with Mixup Regulated Test-Time Training.

Bochao Zhang, Rui Shao, Jingda Du, Pong C. Yuen, Wei Luo

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Detecting and Grounding Multi-Modal Media Manipulation.

Rui Shao, Tianxing Wu, Ziwei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Open-Set Adversarial Defense with Clean-Adversarial Mutual Learning.

Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

Int. J. Comput. Vis., 2022

Mixup for Test-Time Training.

Bochao Zhang, Rui Shao, Jingda Du, Pong C. Yuen

CoRR, 2022

Detecting and Recovering Sequential DeepFake Manipulation.

Rui Shao, Tianxing Wu, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification.

Chong Yin, Siqi Liu, Rui Shao, Pong C. Yuen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation.

Rui Shao, Bochao Zhang, Pong C. Yuen, Vishal M. Patel

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020

Federated Face Anti-spoofing.

Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

CoRR, 2020

Open-Set Adversarial Defense.

Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

Proceedings of the Computer Vision - ECCV 2020, 2020

Regularized Fine-Grained Meta Face Anti-Spoofing.

Rui Shao, Xiangyuan Lan, Pong C. Yuen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Joint Discriminative Learning of Deep Dynamic Textures for 3D Mask Face Anti-Spoofing.

Rui Shao, Xiangyuan Lan, Pong C. Yuen

IEEE Trans. Inf. Forensics Secur., 2019

Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System.

Xiangyuan Lan, Mang Ye, Rui Shao, Bineng Zhong, Pong C. Yuen, Huiyu Zhou

IEEE Trans. Ind. Electron., 2019

Adversarial auto-encoder for unsupervised deep domain adaptation.

Rui Shao, Xiangyuan Lan

IET Image Process., 2019

Online Non-Negative Multi-Modality Feature Template Learning for RGB-Assisted Infrared Tracking.

Xiangyuan Lan, Mang Ye, Rui Shao, Bineng Zhong, Deepak Kumar Jain, Huiyu Zhou

IEEE Access, 2019

Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection.

Rui Shao, Xiangyuan Lan, Jiawei Li, Pong C. Yuen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Feature Constrained by Pixel: Hierarchical Adversarial Deep Domain Adaptation.

Rui Shao, Xiangyuan Lan, Pong C. Yuen

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2017

Deep convolutional dynamic texture learning with adaptive channel-discriminability for 3D mask face anti-spoofing.

Rui Shao, Xiangyuan Lan, Pong C. Yuen

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

A competition on generalized software-based face presentation attack detection in mobile scenarios.

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

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017