Development of a generic tester for distributed object-oriented systems. - Fan-Tien Cheng; Chin-Hui Wang; Yu-Chuan Su (ICRA, 2003)

Design and implementation of an intelligent prognostics system. - Yu-Chuan Su; Fan-Tien Cheng; Min-Hsiung Hung; Yen-Chang Lin; Rung-Chuan Lin (CASE, 2005)

Development of a Generic Virtual Metrology Framework. - Hsien-Cheng Huang; Yu-Chuan Su; Fan-Tien Cheng; Jia-Mau Jian (CASE, 2007)

Implementation Considerations of Various Virtual Metrology Algorithms. - Yu-Chuan Su; Tung-Ho Lin; Fan-Tien Cheng; Wei-Ming Wu (CASE, 2007)

Method for Evaluating Reliance Level of a Virtual Metrology System. - Fan-Tien Cheng; Yeh-Tung Chen; Yu-Chuan Su; Deng-Lin Zeng (ICRA, 2007)

Development of a dual-stage virtual metrology architecture for TFT-LCD manufacturing. - Yu-Chuan Su; Wen-Huang Tsai; Fan-Tien Cheng; Wei-Ming Wu (ICRA, 2008)

Design of the intelligent home system architecture. - Yu-Chuan Su (ICMLC, 2010)

Advanced E-Manufacturing Model. - Fan-Tien Cheng; Wen-Huang Tsai; Tsung-Li Wang; Jonathan Yung-Cheng Chang; Yu-Chuan Su (IEEE Robotics Autom. Mag., 2010)

Scalable mobile video question-answering system with locally aggregated descriptors and random projection. - Guan-Long Wu; Yu-Chuan Su; Tzu-Hsuan Chiu; Liang-Chi Hsieh; Winston H. Hsu (ACM Multimedia, 2011)

Evaluating Gaussian Like Image Representations over Local Features. - Yu-Chuan Su; Guan-Long Wu; Tzu-Hsuan Chiu; Winston H. Hsu; Kuo-Wei Chang (ICME, 2012)

Sharing the trees among random forests for effective and efficient concept detection. - Tzu-Hsuan Chiu; Guan-Long Wu; Yu-Chuan Su; Winston H. Hsu (MMSP, 2012)

Enabling low bitrate mobile visual recognition: a performance versus bandwidth evaluation. - Yu-Chuan Su; Tzu-Hsuan Chiu; Yan-Ying Chen; Chun-Yen Yeh; Winston H. Hsu (ACM Multimedia, 2013)

Flickr-tag prediction using multi-modal fusion and meta information. - Yu-Chuan Su; Tzu-Hsuan Chiu; Guan-Long Wu; Chun-Yen Yeh; Felix Wu; Winston H. Hsu (ACM Multimedia, 2013)

Me-link: link me to the media - fusing audio and visual cues for robust and efficient mobile media interaction. - Chun-Yen Yeh; Yu-Ming Hsu; Hsinfu Huang; Hong-Wun Jheng; Yu-Chuan Su; Tzu-Hsuan Chiu; Winston H. Hsu (WWW (Companion Volume), 2014)

Transfer Learning for Video Recognition with Scarce Training Data. - Yu-Chuan Su; Tzu-Hsuan Chiu; Chun-Yen Yeh; Hsinfu Huang; Winston H. Hsu (CoRR, 2014)

Effective string processing and matching for author disambiguation. - Wei-Sheng Chin; Yong Zhuang; Yu-Chin Juan; Felix Wu; Hsiao-Yu Tung; Tong Yu 001; Jui-Pin Wang; Cheng-Xia Chang; Chun-Pai Yang; Wei-Cheng Chang; Kuan-Hao Huang; Tzu-Ming Kuo; et al. (J. Mach. Learn. Res., 2014)

Scalable Mobile Visual Classification by Kernel Preserving Projection Over High-Dimensional Features. - Yu-Chuan Su; Tzu-Hsuan Chiu; Yin-Hsi Kuo; Chun-Yen Yeh; Winston H. Hsu (IEEE Trans. Multim., 2014)

Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013. - Chun-Liang Li; Yu-Chuan Su; Ting-Wei Lin; Cheng-Hao Tsai; Wei-Cheng Chang; Kuan-Hao Huang; Tzu-Ming Kuo; Shan-Wei Lin; Young-San Lin; Yu-Chen Lu; Chun-Pai Yang; Cheng-Xia Chang; et al. (J. Mach. Learn. Res., 2015)

Detecting Engagement in Egocentric Video. - Yu-Chuan Su; Kristen Grauman (ECCV (5), 2016)

Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video. - Yu-Chuan Su; Kristen Grauman (ECCV (7), 2016)

Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing. - Yu-Chuan Su; Kristen Grauman (CVPR, 2017)

Learning Spherical Convolution for Fast Features from 360° Imagery. - Yu-Chuan Su; Kristen Grauman (NIPS, 2017)

Pano2Vid: Automatic Cinematography for Watching 360° Videos. - Yu-Chuan Su; Dinesh Jayaraman; Kristen Grauman (WICED@Eurographics, 2017)

Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery. - Yu-Chuan Su; Kristen Grauman (CoRR, 2017)

Learning Compressible 360° Video Isomers. - Yu-Chuan Su; Kristen Grauman (CVPR, 2018)

Learning Compressible 360deg Video Isomers. - Yu-Chuan Su; Kristen Grauman (CVPR Workshops, 2018)

Kernel Transformer Networks for Compact Spherical Convolution. - Yu-Chuan Su; Kristen Grauman (CVPR Workshops, 2019)

Camera View Adjustment Prediction for Improving Image Composition. - Yu-Chuan Su; Raviteja Vemulapalli; Ben Weiss; Chun-Te Chu; Philip Andrew Mansfield; Lior Shapira; Colvin Pitts (CoRR, 2021)

Learning Compressible 360$^{ circ }$∘ Video Isomers. - Yu-Chuan Su; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Rethinking Deep Face Restoration. - Yang Zhao; Yu-Chuan Su; Chun-Te Chu; Yandong Li; Marius Renn; Yukun Zhu; Changyou Chen; Xuhui Jia (CVPR, 2022)

2.5D visual relationship detection. - Yu-Chuan Su; Soravit Changpinyo; Xiangning Chen; Sathish Thoppay; Cho-Jui Hsieh; Lior Shapira; Radu Soricut; Hartwig Adam; Matthew Brown 001; Ming-Hsuan Yang 001; Boqing Gong (Comput. Vis. Image Underst., 2022)

Learning Spherical Convolution for $360^{ circ }$360∘ Recognition. - Yu-Chuan Su; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond. - Yang Zhao; Tingbo Hou; Yu-Chuan Su; Xuhui Jia; Yandong Li; Matthias Grundmann (ICCV, 2023)

Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models. - Xuhui Jia; Yang Zhao; Kelvin C. K. Chan; Yandong Li; Han Zhang; Boqing Gong; Tingbo Hou; Huisheng Wang; Yu-Chuan Su (CoRR, 2023)

Identity Encoder for Personalized Diffusion. - Yu-Chuan Su; Kelvin C. K. Chan; Yandong Li; Yang Zhao; Han Zhang; Boqing Gong; Huisheng Wang; Xuhui Jia (CoRR, 2023)

Video Generation Beyond a Single Clip. - Hsin-Ping Huang; Yu-Chuan Su; Ming-Hsuan Yang 001 (CoRR, 2023)

Controllable One-Shot Face Video Synthesis With Semantic Aware Prior. - Kangning Liu; Yu-Chuan Su; Wei Hong; Ruijin Cang; Xuhui Jia (CoRR, 2023)

Instruct-Imagen: Image Generation with Multi-modal Instruction. - Hexiang Hu; Kelvin C. K. Chan; Yu-Chuan Su; Wenhu Chen; Yandong Li; Kihyuk Sohn; Yang Zhao; Xue Ben; Boqing Gong; William W. Cohen; Ming-Wei Chang; Xuhui Jia (CVPR, 2024)

A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation. - Gwanghyun Kim; Alonso Martinez; Yu-Chuan Su; Brendan Jou; José Lezama; Agrim Gupta; Lijun Yu; Lu Jiang 004; Aren Jansen; Jacob Walker; Krishna Somandepalli (NeurIPS, 2024)

KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities. - Hsin-Ping Huang; Xinyi Wang; Yonatan Bitton; Hagai Taitelbaum; Gaurav Singh Tomar; Ming-Wei Chang; Xuhui Jia; Kelvin C. K. Chan; Hexiang Hu; Yu-Chuan Su; Ming-Hsuan Yang 001 (CoRR, 2024)

Scaling Inference Time Compute for Diffusion Models. - Nanye Ma; Shangyuan Tong; Haolin Jia; Hexiang Hu; Yu-Chuan Su; Mingda Zhang; Xuan Yang; Yandong Li; Tommi S. Jaakkola; Xuhui Jia; Saining Xie (CVPR, 2025)

Generating Long-Take Videos via Effective Keyframes and Guidance. - Hsin-Ping Huang; Yu-Chuan Su; Ming-Hsuan Yang 001 (WACV, 2025)

Fine-grained Controllable Video Generation via Object Appearance and Context. - Hsin-Ping Huang; Yu-Chuan Su; Deqing Sun; Lu Jiang 004; Xuhui Jia; Yukun Zhu; Ming-Hsuan Yang 001 (WACV, 2025)

Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps. - Nanye Ma; Shangyuan Tong; Haolin Jia; Hexiang Hu; Yu-Chuan Su; Mingda Zhang; Xuan Yang; Yandong Li; Tommi S. Jaakkola; Xuhui Jia; Saining Xie (CoRR, 2025)