I am a postdoctoral researcher working with Cheng Li at the Vision and Learning Lab, University of Alberta, Canada, focusing on the intersection of computer vision and graphics. Previously, I was a postdoctoral researcher with Hao (Richard) Zhang at the GrUVi Lab, Simon Fraser University, Canada, where I worked on compositional modelling and graphics.
I earned my Ph.D. from the University of Science and Technology of China, specializing in 3D deep learning under the supervision of Nenghai Yu and Weiming Zhang. During that time, I also worked as a research intern in the Machine Learning Group at Microsoft Research Asia, collaborating with Taifeng Wang. I hold a B.S. from Shanghai University, where I worked with Zhenxing Qian and Wei Shen.
Publications
Jiacheng Liu, Hang Zhou, Shida Wei and Rui Ma, DiffPop: Plausibility-Guided Object Placement Diffusion for Image Composition, Computer Graphics Forum (Special Issue of Pacific Graphics), 2024 [arXiv]
Qi Sun, Hang Zhou, Wengang Zhou, Li Li and Houqiang Li,
Zhiqin Chen, Qimin Chen, Hang Zhou and Hao Zhang, DAE-Net: Deforming Auto-Encoder for Fine-Grained Shape Co-Segmentation, SIGGRAPH, 2024 [arXiv] [GitHub]
Kui Zhang, Hang Zhou, Jie Zhang, Wenbo Zhou, Weiming Zhang and Nenghai Yu, Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation, ICML, 2024 [Project page]
Qimin Chen, Zhiqin Chen, Hang Zhou and Hao Zhang, ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering, SIGGRAPH Asia, 2023 [arXiv] [GitHub]
Hang Zhou, Rui Ma, Ling-Xiao Zhang, Lin Gao, Ali Mahdavi-Amiri and Hao Zhang, SAC-GAN: Structure-Aware Image Composition, TVCG, 2023 [arXiv] [GitHub]
Qichao Ying, Hang Zhou, Zhenxing Qian, Sheng Li and Xinpeng Zhang, Learning to Immunize Images for Tamper Localization and Self-Recovery, TPAMI, 2023 [arXiv] [GitHub]
Zehua Ma, Hang Zhou and Weiming Zhang, AnisoTag: 3D Printed Tag on 2D Surface via Reflection Anisotropy, CHI, 2023 [arXiv] [GitHub]
Hang Zhou, Kejiang Chen, Zehua Ma, Feng Wang and Weiming Zhang, Triangle Mesh Watermarking and Steganography, Springer Nature, 2022 [Link]
Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang and Nenghai Yu, Shape-invariant 3D Adversarial Point Clouds, CVPR, 2022 [arXiv] [GitHub]
Kunlin Liu, Dongdong Chen, Jing Liao, Weiming Zhang, Hang Zhou, Jie Zhang, Wenbo Zhou and Nenghai Yu, JPEG Robust Invertible Grayscale, TVCG, 2021 [Paper]
Hang Zhou, Weiming Zhang, Kejiang Chen, Weixiang Li and Nenghai Yu, Three-Dimensional Mesh Steganography and Steganalysis: A Review, TVCG, 2021 [arXiv]
Hang Zhou, Dongdong Chen, Jing Liao, Weiming Zhang, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Gang Hua and Nenghai Yu, LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-Based Deep Networks, CVPR, 2020 [arXiv] [GitHub]
Xiaoyi Dong, Dongdong Chen, Hang Zhou, Gang Hua, Weiming Zhang and Nenghai Yu, Self-Robust 3D Point Recognition via Gather-Vector Guidance, CVPR, 2020 [Paper]
Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou and Nenghai Yu, DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense, ICCV, 2019 [arXiv] [GitHub]
Hang Zhou, Kejiang Chen, Weiming Zhang, Chuan Qin and Nenghai Yu, Feature-Preserving Tensor Voting Model for Mesh Steganalysis, TVCG, 2019 [Paper] [GitHub]
Invited talks
Machine Learning in Generative AI, Fudan University, Shanghai, China, September 10, 2024
Machine Learning in Compositional Generative AI, University of Science and Technology of China, Hefei, China, June 10-11, 2024
Controllable Compositional Modelling in Generative AI, University of Alberta, online, March 18, 2024
Controllable Compositional Modeling in Computer Vision and Graphics, Imperial-X, Imperial College London, London, UK, November 6, 2023
Exploring Deep Point-Cloud Robustness, GAMES Webinar, online, December 22, 2022
Learning Diverse and Controllable 3D Content Generation, Huawei-SFU Joint Lab Workshop, Vancouver, Canada, November 25, 2022
Services
Conference Reviewer: ICLR2020, CVPR2021, NeurIPS2021, IJCAI2021, AAAI2021, ICLR2021, CVPR2022, NeurIPS2022, ICML2022, AAAI2022, IJCAI2022, ECCV2022, ICLR2022, IJCAI 2023, ICLR2023, CVPR2023, ICML2023, ICCV2023, NeurIPS2023, ICLR2024, CVPR2024, ECCV2024, NeurIPS2024
Journal Reviewer: TPAMI, TVCG, TIP, TIFS, TCSVT, TASLP