I am a postdoctoral researcher working with Li Cheng at the Vision and Learning Lab, University of Alberta, Canada. My research focuses on shape/scene composition and spatial AI. Previously, I was a postdoctoral researcher at the GrUVi Lab, Simon Fraser University, where I worked with Hao (Richard) Zhang on compositional modeling for self-driving. I received my Ph.D. from the University of Science and Technology of China under the supervision of Nenghai Yu and Weiming Zhang. I also held a research internship with the Machine Learning Group at Microsoft Research Asia (MSRA).

Publications

Hang Zhou, Xinxin Zuo, Sen Wang and Li Cheng, PICS: Pairwise Image Compositing with Spatial Interactions, ICLR, 2026 [arXiv] [GitHub] [Project page]

Hang Zhou, Xinxin Zuo, Rui Ma and Li Cheng, BootPlace: Bootstrapped Object Placement with Detection Transformers, CVPR, 2025 [arXiv] [GitHub] [Project page]

Weitao Feng, Hang Zhou, Jing Liao, Li Cheng and Wenbo Zhou, CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design, CVPR, 2025 (Oral) [arXiv] [GitHub]

Qi Sun, Hang Zhou, Wengang Zhou, Li Li and Houqiang Li, Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis, ECCV, 2024 [arXiv] [GitHub]

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

Hang Zhou, Rui Ma, Ling-Xiao Zhang, Lin Gao, Ali Mahdavi-Amiri and Hao Zhang, SAC-GAN: Structure-Aware Image Composition, TVCG, 2022 [arXiv] [GitHub]

Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang and Nenghai Yu, Shape-invariant 3D Adversarial Point Clouds, CVPR, 2022 [arXiv] [GitHub]

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]

Invited talks

Learning Space Planning for 3D Indoor Scene Synthesis, Concordia University, online, April 3, 2025
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 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: ICLR’20, CVPR’21, NeurIPS’21, IJCAI’21, AAAI’21, ICLR’21, CVPR’22, NeurIPS’22, ICML’22, AAAI’22, IJCAI’22, ECCV’22, ICLR’22, IJCAI’23, ICLR’23, CVPR’23, ICML’23, ICCV’23, NeurIPS’23, ICLR’24, CVPR’24, ECCV’24, NeurIPS’24, CVPR’25, SIGGRAPH’25, ICCV’25, SIGA’25, 3DV’25, ICLR’26

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