• I am a sixth year Ph.D. student at Shanghai Jiao Tong University. I am part of the MIN LAB, advised by Prof. Junni Zou and Prof. Hongkai Xiong.

• From Mar. 2021 to Mar. 2022, I visited LTS4 lab at École Polytechnique Fédérale de Lausanne (EPFL) and was co-advised by Prof. Pascal Frossard .

• Prior to SJTU, I obtained my B.Eng. degree in Electronic and Information Engineering from University of Electronic Science and Technology of China (UESTC) in 2017.

RESEARCH INTEREST

• VR/360°/Point Cloud Vision
• Graph Neural Network
• Spherical CNN
• Understanding to the Signals on Non-Euclidean Domains

Publications

Rotation Equivariant Graph Convolutional Network for Spherical Image Classification

Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hongkai Xiong, “Rotation Equivariant Graph Convolutional Network for Spherical Image Classification”, IEEE International Conference Computer Vision and Pattern Recognition (CVPR 2020), Seattle, USA, June 2020.

360Spred:Saliency Prediction for 360-Degree Videos Based on 3D Separate Graph Convolutional Networks

Qin Yang, Hao Wang, Chenglin Li, Wenrui Dai, Junnui Zou, Hongkai Xiong, Pascal Frossard, “360Spred：Saliency Prediction for 360-Degree Videos Based on 3D Separate Graph Convolutional Networks”, submitted to IEEE Transactions on Multimedia (TMM).

SGC-AVA360:360-Degree Video Saliency Prediction with Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Qin Yang, Yuqi Li, Chenglin Li, Wenrui Dai, Junnui Zou, Hongkai Xiong, Pascal Frossard, “SGC-AVA360:360-Degree Video Saliency Prediction with Spherical Vector-Based Graph Convolution and Audio-Visual Attention”, submitted to IEEE Transactions on Multimedia (TMM).

Single and Sequential VIEWPORTS Prediction for 360-Degree Video Streaming

Qin Yang, Junni Zou, Kexin Tang, Chenglin Li, Hongkai Xiong, “Single and Sequential VIEWPORTS Prediction for 360-Degree Video Streaming”, IEEE Int'l Symposium on Circuits & Systems (ISCAS’2019), Sapporo, Japan, May 2019.

SalGCN: Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks

Haoran Lv, Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “SalGCN Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks”, ACM International Conference on Multimedia (ACMM’2020), Seattle, USA, Oct. 2020.

Rotation-Equivariant Graph Convolutional Networks For Spherical Data via Global-Local Attention

Jiayi Xu, Qin Yang, Chenglin Li, Junni Zou, Hongkai Xiong, X. Pan, H. Wang, “Rotation-Equivariant Graph Convolutional Networks For Spherical Data via Global-Local Attention”, accepted by IEEE International Conference on Image Processing (ICIP 2022).

Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution

Yuqi Li, Qin Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, "Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution". submitted to IEEE International Symposium on Circuits and Systems (ISCAS 2023).

Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming

Junni Zou, Chenglin Li, Chengming Liu, Qin Yang, Hongkai Xiong, Eckehard Steinbach, “Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming”, accepted by IEEE Journal of Selected Topics in Signal Processing, 2019.

SERVER-SIDE RATE ADAPTATION FOR MULTI-USER 360-DEGREE VIDEO STREAMING

Chengming Liu, Nuowen Kan, Junni Zou, Qin Yang, Hongkai Xiong, "SERVER-SIDE RATE ADAPTATION FOR MULTI-USER 360-DEGREE VIDEO STREAMING",accepted by IEEE International Conference on Image Processing(ICIP-18), 2018.