Biography

Ying-Cong Chen is an Assistant Professor at AI Thrust, Information Hub of Hong Kong University of Science and Technology (Guangzhou). He is also an Affiliated Assistant Professor of the department of Computer Science & Engineering (Clear Water Bay Campus). He is a faculty member of the Deep Vision Lab. He was a Postdoctoral Associate at Computer Science & Artificial Intelligence Lab of Massachusetts Institute of Technology, working with Prof. Dina Katabi. He is recognized as Distinguished Young Scholars (Overseas) from NSFC. He obtained his Ph.D. degree from the Chinese University of Hong Kong, working with Prof. Jiaya Jia. His research aims to advance the fundamental understanding and application of generative models. Currently, one of the core objectives is to innovate in the application of large generative models beyond their conventional use, such as lifting the 2D generation results to create sophisticated 3D objects or scens, or harnessing the capabilities of generative models to tackle persistent challenges in perception tasks.

Interests
  • Computer vision
  • Generative AI

Recent Publications

Quickly discover relevant content by filtering publications.
Yixun Liang, Xin Yang, Jiantao Lin, Haodong Li, Xiaogang Xu, Ying-Cong Chen. LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching. Arxiv, 2023.
PDF Cite Code
Yixun Liang, Hao He, Ying-Cong Chen. Rethinking Rendering in Generalizable Neural Surface Reconstruction: A Learning-based Solution. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
PDF Cite Code Project
Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen. Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection. In Proceedings of the IEEE International Conference on Computer Vision (ICCV) (Oral, Best Paper Final List, top 0.2%), 2023.
PDF Cite Code Project
Luozhou Wang, Shuai Yang, Shu Liu, Ying-Cong Chen. Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023.
PDF Cite Code
Xin Yang, Xiaogang Xu, Ying-Cong Chen. Photo-Realistic Out-of-domain GAN inversion via Invertibility Decomposition. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023.
PDF Cite Code
See all publications

Research Topics

3D Vision AI for Healthcare Diffusion Diffusion Model Domain Adaptation Domain Generalization Face Manipulation Generative Adversarial Networks Graph Convolutional Network Image Compression Image Generation Image Inpainting Image Processing Image Rescalling Image-to-image Translation Instance Segmentation Latent Space Interpolation Machine Learning Metric Learning Person Re-identification

Academic Services

Reviewer/(Senior) Program Committee Member of:

  • International Joint Conference on Artificial Intelligence (IJCAI) (Senior PC)
  • AAAI Conference on Artificial Intelligence (AAAI) (Senior PC)
  • International Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Conference on Computer Vision (ICCV)
  • European Conference on Computer Vision (ECCV)
  • International Conference on Learning Representations (ICLR)
  • International Conference on Machine Learning (ICML)
  • Neural Information Processing Systems (NeurIPS)
  • Winter Conference on Applications of Computer Vision (WACV)
  • British Machine Vision Conference (BMVC)
  • European Conference on AI (ECAI)
  • IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI)
  • International Journal of Computer Vision (IJCV)
  • IEEE Transaction on Image Processing (TIP)

Contact