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Currently, I am a third-year Ph.D. student student at MIN Lab in Electrical Engineering Department of Shanghai Jiao Tong University, advised by Prof. Wenrui Dai and Prof. Hongkai Xiong. Prior to SJTU, I obtained my bachelor degree at Xi'an Jiao Tong University in 2020. I'm interested in computer vision and deep learning, which include but not limit to Transfer Learning, Self-supervised Learning, Domain Generalization and Face Anti-Spoofing. Please drop me an email if you are interested in corporation with us. |
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Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing Guanghao Zheng*, Yuchen Liu*, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong European Conference on Computer Vision, ECCV 2024 Area: Multi-modal, Face Anti-Spoofing |
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DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models Yuyang Huang, Yabo Chen Yuchen Liu, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian European Conference on Computer Vision, ECCV 2024 Area: Multi-modal, Face Anti-Spoofing |
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Source-Free Domain Adaptation With Domain Generalized Pretraining for Face Anti-Spoofing Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2024. Area: Domain Generalization, Domain Adaptation, Face Anti-Spoofing |
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From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models Dongsheng Jiang*, Yuchen Liu*, Songlin Liu, Xiaopeng Zhang, Jin Li, Hongkai Xiong, Qi Tian, Arxiv 2023 Area: Multi-modal Large Language Model |
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VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients Yaoming Wang, Yuchen Liu, Xiaopeng Zhang, Jin Li, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian, ACM International Conference on Multimedia, ACM MM 2023 Area: Parameter-efficient Tuning, Multi-modal Foundation Model |
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Towards Unsupervised Domain Generalization for Face Anti-Spoofing Yuchen Liu, Yabo Chen, Mengran Gou, Chun-Ting Huang, Yaoming Wang, Wenrui Dai, Hongkai Xiong, International Conference on Computer Vision, ICCV 2023 [Paper], [Poster] Area: Unsupervised Domain Generalization, Face Anti-Spoofing |
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Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization Yuchen Liu, Yaoming Wang, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Computer Vision and Pattern Recognition, CVPR 2023 [Paper], [Poster], [Video] Area: Self-supervised Contrastive Learning, Unsupervised Domain Generalization |
![[Poster]](https://cvpr2023.thecvf.com/media/PosterPDFs/CVPR%202023/22920.png?t=1684290276.3634677){kind=link}
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Adapting Shortcut with Normalizing Flow: An Efficient Tuning
Framework for Visual Recognition Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian Computer Vision and Pattern Recognition, CVPR 2023 [Paper], [Poster], [Slide], [Video] Area: Parameter-efficient Finetuning |
![[Poster]](https://cvpr2023.thecvf.com/media/PosterPDFs/CVPR%202023/22667.png?t=1685626488.6117465){kind=link}
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Learning Causal Representations for Generalizable Face Anti Spoofing Guanghao Zheng*, Yuchen Liu*, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 [Paper] Area: Causal Inference, Domain Generalization, Face Anti-Spoofing |
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Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-Spoofing Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong, European Conference on Computer Vision, ECCV 2022 [Paper], [Code], [Poster], [Video] Area: Domain Adaptation, Face Anti-Spoofing |
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SdAE: Self-distillated Masked Autoencoder Yabo Chen*, Yuchen Liu*, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian, European Conference on Computer Vision, ECCV 2022 [Paper], [Code], [Poster] Area: Self-supervised Learning |
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Causal Intervention for Generalizable Face Anti-Spoofing Yuchen Liu, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, IEEE International Conference on Multimedia and Expo, ICME 2022 Oral [Paper], [Slides], [Video] Area: Causal Inference, Domain Generalization, Face Anti-Spoofing |
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Learning Latent Architectural Distribution in Differentiable Neural
Architecture Search via Variational Information Maximization Yaoming Wang*, Yuchen Liu*, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, IEEE International Conference on Computer Vision, ICCV 2021 [Paper], [Poster] Area: Mutual Information, Neural Architecture Search |
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Last updated on July, 2023 |