Currently, he is a research fellow at mmlab, Nanyang Technological University (NTU) Singapore, working with Prof. Ziwei Liu. Prior to this, he worked as a Research Scientist at the Sea AI Lab of Sea Group.

He completed Ph.D. degree in 2021 at CASIA, supervised by Prof. Tieniu Tan, co-supervised by Prof. Liang Wang and Prof. Wei Wang. He was a visting student from Sep, 2019 to Sep, 2020 in Learning and Vision Lab at National University of Singapore, working with Prof. Jiashi FENG.

His research lies at the intersection of deep learning and computer vision, including vision-based human perception (pose and action), few-shot learning, self-supervised learning, semi-supervised learning, in-context learning and video generation.

If you are seeking research interns, feel free to contact me!

Remote cooperations are welcome (ChenYang.Si.Mail@gmail.com).

Contact

• Email:
  
  • ChenYang.Si.Mail@gmail.com
  • chenyang.si@ntu.edu.sg
  • sicy@sea.com
  • chenyang.si@cripac.ia.ac.cn

Publications

• FreeU: Free Lunch in Diffusion U-Net
  Chenyang Si, Ziqi Huang, Yuming Jiang, Ziwei Liu
  Tech report, 2023
  [pdf] [project page] [code] [video]

• Lavie: High-quality video generation with cascaded latent diffusion models
  Yaohui Wang, Xinyuan Chen, Xin Ma, Shangchen Zhou, Ziqi Huang, Yi Wang, Ceyuan Yang, Yinan He, Jiashuo Yu, Peiqing Yang, Yuwei Guo, Tianxing Wu, Chenyang Si, Yuming Jiang, Cunjian Chen, Chen Change Loy, Bo Dai, Dahua Lin, Yu Qiao, Ziwei Liu
  Tech report, 2023
  [pdf] [project page] [code]

• Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
  Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang
  NeurIPS, 2023
  [pdf]

• FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation
  Jingwen Guo, Hong Liu, Shitong Sun, Tianyu Guo, Min Zhang, Chenyang Si^*
  (ICCV), 2023
  [pdf]

• Semantic Prompt for Few-Shot Learning
  Wentao Chen^*, Chenyang Si^*, Zhang Zhang, Liang Wang, Zilei Wang, Tieniu Tan
  (CVPR), 2023
  [pdf] [code] [video]

• Metaformer baselines for vision
  Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang
  Tech report, 2022
  [pdf] [code]

• Federated Zero-Shot Learning with Mid-Level Semantic Knowledge Transfer
  Shitong Sun, Chenyang Si, Shaogang Gong, Guile Wu
  Tech report, 2022
  [pdf]

• Mugs: A Multi-Granular Self-Supervised Learning Framework
  Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan
  NeurIPS Workshop, 2022
  [pdf] [code]

• Transformed Autoencoder: Pre-training with Mask-Free Encoder and Transformed Decoder
  Yichen Zhou, Pan Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng YAN
  NeurIPS Workshop, 2022
  [[pdf]]

• Inception Transformer
  Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan
  (NeurIPS, Oral), 2022
  [pdf] [code]

• Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition
  Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang
  (TIP), 2022
  [pdf]

• Metaformer is actually what you need for vision
  Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan
  (CVPR), 2022
  [pdf] [code]

• Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption
  Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan
  (AAAI), 2022
  [pdf]

• Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
  Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan
  (IJCAI), 2021
  [[pdf]]

• Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
  Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng
  (ECCV), 2020
  [pdf] [video]

• Unsupervised Motion Representation Learning from Skeleton Sequence via Neighbor Reconstruction
  Chenyang Si, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng
  

• Skeleton-Based Action Recognition with Hierarchical Spatial Reasoning and Temporal Stack Learning Network
  Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan
  (Pattern Recognition), 2020
  [pdf]

• Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
  Ya Jing, Chenyang Si, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan
  (AAAI), oral, 2020
  [pdf]

• An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
  Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
  [pdf]

• Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
  Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan
  European Conference on Computer Vision (ECCV), 2018
  [pdf]

• Pose-Based Two-Stream Relational Networks for Action Recognition in Videos
  Wei Wang, Jinjin Zhang, Chenyang Si, Liang Wang
  (arxiv), 2018
  [pdf]

• Multistage adversarial losses for pose-based human image synthesis
  Chenyang Si, Wei Wang, Liang Wang, Tieniu Tan
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR,), spotlight, 2018
  [pdf]

Teaching Experience

• Teaching Assistant
  Deep Learning
  Mar. 2019-Jun. 2019
  University of Chinese Academy of Sciences