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 001; L. B. Zhang; et al. (IJCB, 2017)

Deep convolutional dynamic texture learning with adaptive channel-discriminability for 3D mask face anti-spoofing. - Rui Shao 001; Xiangyuan Lan; Pong C. Yuen (IJCB, 2017)

Feature Constrained by Pixel: Hierarchical Adversarial Deep Domain Adaptation. - Rui Shao 001; Xiangyuan Lan; Pong C. Yuen (ACM Multimedia, 2018)

Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection. - Rui Shao 001; Xiangyuan Lan; Jiawei Li 003; Pong C. Yuen (CVPR, 2019)

Online Non-Negative Multi-Modality Feature Template Learning for RGB-Assisted Infrared Tracking. - Xiangyuan Lan; Mang Ye; Rui Shao 001; Bineng Zhong; Deepak Kumar Jain 001; Huiyu Zhou 001 (IEEE Access, 2019)

Adversarial auto-encoder for unsupervised deep domain adaptation. - Rui Shao 001; Xiangyuan Lan (IET Image Process., 2019)

Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System. - Xiangyuan Lan; Mang Ye; Rui Shao 001; Bineng Zhong; Pong C. Yuen; Huiyu Zhou 001 (IEEE Trans. Ind. Electron., 2019)

Joint Discriminative Learning of Deep Dynamic Textures for 3D Mask Face Anti-Spoofing. - Rui Shao 001; Xiangyuan Lan; Pong C. Yuen (IEEE Trans. Inf. Forensics Secur., 2019)

Regularized Fine-Grained Meta Face Anti-Spoofing. - Rui Shao 001; Xiangyuan Lan; Pong C. Yuen (AAAI, 2020)

Open-Set Adversarial Defense. - Rui Shao 001; Pramuditha Perera; Pong C. Yuen; Vishal M. Patel (ECCV (17), 2020)

Federated Face Anti-spoofing. - Rui Shao 001; Pramuditha Perera; Pong C. Yuen; Vishal M. Patel (CoRR, 2020)

Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation. - Rui Shao 001; Bochao Zhang; Pong C. Yuen; Vishal M. Patel (FG, 2021)

Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification. - Chong Yin; Siqi Liu 003; Rui Shao 001; Pong C. Yuen (MICCAI (5), 2021)

Detecting and Recovering Sequential DeepFake Manipulation. - Rui Shao 001; Tianxing Wu 002; Ziwei Liu 002 (ECCV (13), 2022)

Mixup for Test-Time Training. - Bochao Zhang; Rui Shao 001; Jingda Du; Pong C. Yuen (CoRR, 2022)

Open-Set Adversarial Defense with Clean-Adversarial Mutual Learning. - Rui Shao 001; Pramuditha Perera; Pong C. Yuen; Vishal M. Patel (Int. J. Comput. Vis., 2022)

Detecting and Grounding Multi-Modal Media Manipulation. - Rui Shao 001; Tianxing Wu 002; Ziwei Liu 002 (CVPR, 2023)

Tackling Model Mismatch with Mixup Regulated Test-Time Training. - Bochao Zhang; Rui Shao 001; Jingda Du; Pong C. Yuen; Wei Luo 001 (DSAA, 2023)

LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. - Gongwei Chen; Leyang Shen; Rui Shao 001; Xiang Deng; Liqiang Nie (CVPR, 2024)

RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. - Qi Lv 001; Hao Li; Xiang Deng; Rui Shao 001; Michael Y. Wang; Liqiang Nie (ICML, 2024)

Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks. - Zaijing Li; Yuquan Xie; Rui Shao 001; Gongwei Chen; Dongmei Jiang; Liqiang Nie (NeurIPS, 2024)

MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models. - Leyang Shen; Gongwei Chen; Rui Shao 001; Weili Guan; Liqiang Nie (NeurIPS, 2024)

Enhancing the Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought. - Zaijing Li; Gongwei Chen; Rui Shao 001; Dongmei Jiang; Liqiang Nie (CoRR, 2024)

RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. - Qi Lv 001; Hao Li; Xiang Deng; Rui Shao 001; Michael Yu Wang; Liqiang Nie (CoRR, 2024)

Token-level Correlation-guided Compression for Efficient Multimodal Document Understanding. - Renshan Zhang; Yibo Lyu; Rui Shao 001; Gongwei Chen; Weili Guan; Liqiang Nie (CoRR, 2024)

Federated Generalized Face Presentation Attack Detection. - Rui Shao 001; Pramuditha Perera; Pong C. Yuen; Vishal M. Patel (IEEE Trans. Neural Networks Learn. Syst., 2024)

Detecting and Grounding Multi-Modal Media Manipulation and Beyond. - Rui Shao 001; Tianxing Wu 002; Jianlong Wu; Liqiang Nie; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. - Bin Xie; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Yinchuan Li; Jie Liu 001; Min Zhang 005; Liqiang Nie (ACL (1), 2025)

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation. - Qi Lv 001; Hao Li; Xiang Deng; Rui Shao 001; Yinchuan Li; Jianye Hao; Longxiang Gao; Michael Yu Wang; Liqiang Nie (CVPR, 2025)

LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant. - Wei Li; Bing Hu; Rui Shao 001; Leyang Shen; Liqiang Nie (CVPR, 2025)

Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy. - Zaijing Li; Yuquan Xie; Rui Shao 001; Gongwei Chen; Dongmei Jiang; Liqiang Nie (CVPR, 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 020; Kaiwen Zhou; Rui Shao 001; et al. (ICLR, 2025)

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers. - Renshan Zhang; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Weili Guan; Liqiang Nie (CoRR, 2025)

TIME: Temporal-sensitive Multi-dimensional Instruction Tuning and Benchmarking for Video-LLMs. - Yunxiao Wang; Meng Liu 006; Rui Shao 001; Haoyu Zhang; Bin Wen; Fan Yang 094; Tingting Gao; Di Zhang; Liqiang Nie (CoRR, 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 001; Liqiang Nie (CoRR, 2025)

STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization. - Hao Li; Qi Lv 001; Rui Shao 001; Xiang Deng; Yinchuan Li; Jianye Hao; Liqiang Nie (CoRR, 2025)

Optimus-3: Towards Generalist Multimodal Minecraft Agents with Scalable Task Experts. - Zaijing Li; Yuquan Xie; Rui Shao 001; Gongwei Chen; Weili Guan; Dongmei Jiang; Liqiang Nie (CoRR, 2025)

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills. - Yuquan Xie; Zaijing Li; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Yinchuan Li; Dongmei Jiang; Liqiang Nie (CoRR, 2025)

Robust Sequential DeepFake Detection. - Rui Shao 001; Tianxing Wu 002; Ziwei Liu 002 (Int. J. Comput. Vis., 2025)

DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection. - Rui Shao 001; Tianxing Wu 002; Liqiang Nie; Ziwei Liu 002 (Int. J. Comput. Vis., 2025)

Less is More: Empowering GUI Agent with Context-Aware Simplification. - Gongwei Chen; Xurui Zhou; Rui Shao 001; Yibo Lyu; Kaiwen Zhou; Shuai Wang 020; Wentao Li; Yinchuan Li; Zhongang Qi; Liqiang Nie (CoRR, 2025)

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning. - Yibo Lyu; Rui Shao 001; Gongwei Chen; Yijie Zhu; Weili Guan; Liqiang Nie (CoRR, 2025)

UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries. - Yijie Zhu; Lingsen Zhang; Zitong Yu; Rui Shao 001; Tao Tan; Liqiang Nie (CoRR, 2025)

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey. - Rui Shao 001; Wei Li; Lingsen Zhang; Renshan Zhang; Zhiyang Liu; Ran Chen; Liqiang Nie (CoRR, 2025)