I am a postdoc researcher with Hao (Richard) Zhang in GrUVi Lab at Simon Fraser University, Canada, working on scene understanding and graphics. GrUVi is a top vision and graphics lab in the world. Previously, I received my Ph.D. from University of Science and Technology of China, where I did research on 3D deep learning with Nenghai Yu and Weiming Zhang. During that period, I worked with Taifeng Wang as a research intern in Machine Learning Group, Microsoft Research Asia. I got my B.S. from Shanghai University, where I worked with Zhenxing Qian and Wei Shen.

Publications

Zhiqin Chen, Qimin Chen, Hang Zhou and Hao Zhang, DAE-Net: Deforming Auto-Encoder for Fine-Grained Shape Co-Segmentation, SIGGRAPH, 2024 [arXiv] [GitHub]

Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang, Kui Zhang, Gang Hua and Nenghai Yu, PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition, TIP, 2024 [arXiv] [GitHub]

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]

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]

Hang Zhou, Kejiang Chen, Weiming Zhang, Yuanzhi Yao and Nenghai Yu, Distortion Design for Secure Adaptive 3D Mesh Steganography, TMM, 2018 [Paper] [GitHub]

Ruiqi Jiang, Hang Zhou, Weiming Zhang, and Nenghai Yu, Reversible Data Hiding in Encrypted Three-Dimensional Mesh Models, TMM, 2017 [Paper] [GitHub]

Hang Zhou, Kejiang Chen, Weiming Zhang, and Nenghai Yu, Comments on “Steganography Using Reversible Texture Synthesis”, TIP, 2017 [Paper] [GitHub]

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, SIGGRAPH2024

Journal Reviewer: TPAMI, TVCG, TIP, TIFS, TCSVT, TASLP