Yangyang Xu 徐洋洋 Associate Professor School of Intelligence Science and Engineering Harbin Institute of Technology Shenzhen, China Email  /  Google Scholar

Biography

Yangyang Xu is an Associate Professor at the Harbin Institute of Technology, Shenzhen. Prior to this, he was a Postdoctoral Researcher with Prof. Tingting Zhu at the University of Oxford from 2024 to 2025. He also held a Postdoctoral position under the supervision of with Prof. Ping Luo at the University of Hong Kong from 2021 to 2024. He earned his Ph.D. at the South China University of Technology, under the supervision of Prof. Shengfeng He and Prof. Xuemiao Xu.

His research primarily focuses on vision generative models, encompassing the understanding, control, design, and generalization of these models.

News

• 01/2025: One Paper is accepted by IJCV and two papers are accepted by AAAI.

Publications

	RIGID: Recurrent GAN Inversion and Editing of Real Face Videos and Beyond Yangyang Xu, Shengfeng He, Kwan-Yee K. Wong, and Ping Luo IJCV 2025 PDF / Supp / Project
	Occlusion-Insensitive Talking Head Video Generation via Facelet Compensation Yuhui Deng, Yuqin Lu, Yangyang Xu, Yongwei Nie, and Shengfeng He AAAI 2025 PDF / Supp / Code
	PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium Xinzhe Li, Jiahui Zhan, Shengfeng He, Yangyang Xu, Junyu Dong, Huaidong Zhang, and Yong Du AAAI 2025 PDF / Supp / Code

	Learning Coherent Portrait-to-Anime Translation via Latent Cyclic Transformation Yangyang Xu, Shengfeng He, Kwan-Yee K. Wong, and Ping Luo CVMJ 2024 PDF / Supp / Code
	DreamAnime: Learning Style-Identity Textual Disentanglement for Anime and Beyond Chenshu Xu, Yangyang Xu, Huaidong Zhang, Xuemiao Xu, and Shengfeng He TVCG 2024 PDF / Supp / Code

	RIGID: Recurrent GAN Inversion and Editing of Real Face Videos Yangyang Xu, Shengfeng He, Kwan-Yee K. Wong, and Ping Luo ICCV 2023 PDF / Supp / Project
	Parsing-Conditioned Anime Translation: A New Dataset and Method Zhansheng Li+, Yangyang Xu+, Nanxuan Zhao, Yang Zhou, Yongtuo Liu, Dahua Lin, and Shengfeng He ACM TOG 2023 PDF / Supp / Code

	Self-supervised Matting-specific Portrait Enhancement and Generation Yangyang Xu, Zeyang Zhou and Shengfeng He IEEE TIP 2022 PDF / Supp / Code
	High-resolution Face Swapping via Latent Semantics Disentanglement Yangyang Xu, Bailin Deng, Junle Wang, Yanqing Jing, Jia Pan and Shengfeng He CVPR 2022 PDF / Supp / Code
	Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling Yang Zhou+, Yangyang Xu+, Yong Du, Qiang Wen and Shengfeng He IEEE TIP 2022 PDF / Supp / Code
	Background Matting via Recursive Excitation Junjie Deng+, Yangyang Xu+, Zeyang Zhou and Shengfeng He ICME 2022 PDF / Supp / Code
	Representative Feature Alignment for Adaptive Object Detection Shan Xu, Huaidong Zhang, Xuemiao Xu, Xiaowei Hu, Yangyang Xu, Liangui Dai, Kup-Sze Choi, and Pheng-Ann Heng IEEE TCSVT 2022 PDF / Supp / Code

	From Continuity to Editability: Inverting GANs with Consecutive Images Yangyang Xu, Yong Du, Wenpeng Xiao, Xuemiao Xu, and Shengfeng He ICCV 2021 PDF / Supp / Code
	Multi-view Face Synthesis via Progressive Face Flow Yangyang Xu, Xuemiao Xu, Jianbo Jiao, Keke Li, Cheng Xu and Shengfeng He IEEE TIP 2021 PDF / Erratum / Code
	Holistically-Associated Transductive Zero-Shot Learning Yangyang Xu, Xuemiao Xu, Guoqiang Han, and Shengfeng He IEEE TCDS 2021 PDF / Supp / Code
	Invertible Grayscale with Sparsity Enforcing Priors Yong Du, Yangyang Xu, Taizhong Ye, Qiang Wen, Chufeng Xiao, Junyu Dong, Guoqiang Han, Shengfeng He ACM TOMM 2021 PDF / Supp / Code
	Deep Texture-Aware Features for Camouflaged Object Detection Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng and Pheng-Ann Heng IEEE TCSVT 2021 PDF / Supp / Code

Transductive Zero-shot Action Recognition via Visually-connected Graph Convolutional Networks Yangyang Xu, Chu Han, Jing Qin, Xuemiao Xu, Guoqiang Han, and Shengfeng He IEEE TNNLS 2020 PDF / Supp / Code

Unsupervised Domain Adaptation via Importance Sampling Xuemiao Xu, Hai He, Huaidong Zhang, Yangyang Xu, and Shengfeng He IEEE TCSVT 2019 PDF / Supp / Code

	Ensemble One-Dimensional Convolution Neural Networks for Skeleton-Based Action Recognition Yangyang Xu, Jun Cheng, Lei Wang, Feng Liu and Dapeng Tao IEEE SPL 2018 PDF / Supp / Code /
	Human Action Recognition by Learning Spatio-Temporal Features With Deep Neural Networks Lei Wang, Yangyang Xu, Jun Cheng, Jianqin Yin and Jiaji Wu IEEE Access 2018 PDF / Supp / Code

DTA: Double LSTM with temporal-wise attention network for action recognition Yangyang Xu, Lei Wang, Jun Cheng and Jiaji Wu ICCC 2017 PDF / Supp / Code

Professional Activities

Reviewer

• NeurIPS, ICML, ICLR, SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, AAAI, IJCAI, P&G.
• IEEE TPAMI, IEEE IJCV, IEEE TIP, IEEE TNNLS, Pattern Recognition, Neural Computing, IEEE SPL.

Seminar Report

• Portrait Editing and Matting In Generative Way
  at CMU, Online. 2024.03
• Image and Video Processing using Generative Models
  at VITA Lab in EPFL, Online. 2023.02
• Image and Video Editing Based on Generative Adversarial Networks
  at Shanghai AI Lab, Shanghai. 2022.06
• Research on Several Problems Based on Generative Adversarial Models
  at Tencent, Shenzhen. 2021.11
• Graph Convolutional Neural Networks for Zero-shot Action Recognition
  at City University of Hong Kong, Hong Kong. 2018.12.

Volunteer

• Chinagraph 2018