| 2025 | CVPR | MaRI: Material Retrieval Integration across Domains. | Jianhui Wang, Zhifei Yang, Yangfan He, Huixiong Zhang, Yuxuan Chen, Jingwei Huang |
| 2025 | ICCV | Unleashing Vecset Diffusion Model for Fast Shape Generation. | Zeqiang Lai, Yunfei Zhao, Zibo Zhao, Haolin Liu, Fuyun Wang, Huiwen Shi, Xianghui Yang, Qingxiang Lin, Jingwei Huang, Yuhong Liu, Jie Jiang, Chunchao Guo, Xiangyu Yue |
| 2025 | ICCV | SVG-Head: Hybrid Surface-Volumetric Gaussians for High-Fidelity Head Reconstruction and Real-Time Editing. | Heyi Sun, Cong Wang, Tian-Xing Xu, Jingwei Huang, Di Kang, Chunchao Guo, Song-Hai Zhang |
| 2025 | ICCV | Epona: Autoregressive Diffusion World Model for Autonomous Driving. | Kaiwen Zhang, Zhenyu Tang, Xiaotao Hu, Xingang Pan, Xiaoyang Guo, Yuan Liu, Jingwei Huang, Li Yuan, Qian Zhang, Xiao-Xiao Long, Xun Cao, Wei Yin |
| 2025 | ICRA | LLGS: Unsupervised Gaussian Splatting for Image Enhancement and Reconstruction in Pure Dark Environment. | Haoran Wang, Jingwei Huang, Lu Yang, Tianchen Deng, Gaojing Zhang, Mingrui Li |
| 2024 | CVPR | CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoor Object Detection from Multi-View Images. | Guanlin Shen, Jingwei Huang, Zhihua Hu, Bin Wang |
| 2024 | CVPR | SAI3D: Segment any Instance in 3D Scenes. | Yingda Yin, Yuzheng Liu, Yang Xiao, Daniel Cohen-Or, Jingwei Huang, Baoquan Chen |
| 2024 | ECCV | NGP-RT: Fusing Multi-level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis. | Yubin Hu, Xiaoyang Guo, Yang Xiao, Jingwei Huang, Yong-Jin Liu |
| 2023 | ICCV | LeaF: Learning Frames for 4D Point Cloud Sequence Understanding. | Yunze Liu, Junyu Chen, Zekai Zhang, Jingwei Huang, Li Yi |
| 2023 | ICCV | Regularized Primitive Graph Learning for Unified Vector Mapping. | Lei Wang, Min Dai, Jianan He, Jingwei Huang |
| 2022 | ECCV | Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding. | Hao Wen, Yunze Liu, Jingwei Huang, Bo Duan, Li Yi |
| 2021 | CVPR | DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition. | Jingwei Huang, Shan Huang, Mingwei Sun |
| 2021 | ICCV | PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric. | Jingwei Huang, Yanfeng Zhang, Mingwei Sun |
| 2021 | ICCV | EPP-MVSNet: Epipolar-assembling based Depth Prediction for Multi-view Stereo. | Xinjun Ma, Yue Gong, Qirui Wang, Jingwei Huang, Lei Chen, Fan Yu |
| 2020 | CVPR | Adversarial Texture Optimization From RGB-D Scans. | Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Niener, Thomas A. Funkhouser |
| 2020 | CVPR | Local Implicit Grid Representations for 3D Scenes. | Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Niener, Thomas A. Funkhouser |
| 2020 | ECCV | Deformation-Aware 3D Model Embedding and Retrieval. | Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas |
| 2019 | CVPR | TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes. | Jingwei Huang, Haotian Zhang, Li Yi, Thomas A. Funkhouser, Matthias Niener, Leonidas J. Guibas |
| 2019 | CVPR | Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation. | He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas |
| 2019 | ICCV | FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB Image. | Jingwei Huang, Yichao Zhou, Thomas A. Funkhouser, Leonidas J. Guibas |
| 2019 | ICLR | Spherical CNNs on Unstructured Grids. | Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Niener |
| 2019 | ICLR | Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation. | Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Niener |
| 2017 | VR | 6-DOF VR videos with a single 360-camera. | Jingwei Huang, Zhili Chen, Duygu Ceylan, Hailin Jin |
| 2015 | ICCV | Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability. | Jingwei Huang, Huarong Chen, Bin Wang, Stephen Lin |
| 2014 | BigData | Knowledge Discovery from Big Data for Intrusion Detection Using LDA. | Jingwei Huang, Zbigniew T. Kalbarczyk, David M. Nicol |
| 2014 | BigData | Denial-of-Service Threat to Hadoop/YARN Clusters with Multi-tenancy. | Jingwei Huang, David M. Nicol, Roy H. Campbell |
| 2013 | ISCC | Assessing trust in the long-term protection of documents. | Martn Augusto Gagliotti Vigil, Daniel Cabarcas, Johannes Buchmann, Jingwei Huang |
| 2012 | SACMAT | A framework integrating attribute-based policies into role-based access control. | Jingwei Huang, David M. Nicol, Rakesh Bobba, Jun Ho Huh |
| 2005 | ADMA | Improved Grid Information Service Using the Idea of File-Parted Replication. | Jingwei Huang, Qingfeng Fan, Qiongli Wu, Yanxiang He |
| 2004 | AI | Knowledge Provenance. | Mark S. Fox, Jingwei Huang |
| 1998 | SMC | Systems evolutionary analysis for urban industry system. | Jingwei Huang |
| 1998 | SMC | Interactive decision analysis on sustainable urban development: Guilin case study. | Jingwei Huang, Chunjun Zhao |