| 2026 | AAAI | VGGS: VGGT-guided Gaussian Splatting for Efficient and Faithful Sparse-View Surface Reconstruction. | Peng Xiang, Liang Han, Hui Zhang, Yu-Shen Liu, Zhizhong Han |
| 2026 | SIGGRAPH | VidSplat: Gaussian Splatting Reconstruction with Geometry-Guided Video Diffusion Priors. | Jimin Tang, Wenyuan Zhang, Junsheng Zhou, Zian Huang, Kanle Shi, Shenkun Xu, Yu-Shen Liu, Zhizhong Han |
| 2025 | AAAI | Sharpening Neural Implicit Functions with Frequency Consolidation Priors. | Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2025 | AAAI | FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency. | Han Huang, Yulun Wu, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu |
| 2025 | AAAI | Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views. | Yulun Wu, Han Huang, Wenyuan Zhang, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu |
| 2025 | CVPR | GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting. | Shujuan Li, Yu-Shen Liu, Zhizhong Han |
| 2025 | CVPR | Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation. | Takeshi Noda, Chao Chen, Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu, Zhizhong Han |
| 2025 | CVPR | NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction. | Wenyuan Zhang, Emily Yue-ting Jia, Junsheng Zhou, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han |
| 2025 | CVPR | MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction. | Wenyuan Zhang, Yixiao Yang, Han Huang, Liang Han, Kanle Shi, Yu-Shen Liu, Zhizhong Han |
| 2025 | ICCV | SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies. | Liang Han, Xu Zhang, Haichuan Song, Kanle Shi, Yu-Shen Liu, Zhizhong Han |
| 2025 | ICCV | Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering. | Qing Li, Huifang Feng, Xun Gong, Yu-Shen Liu |
| 2025 | ICCV | GAP: Gaussianize Any Point Clouds with Text Guidance. | Weiqi Zhang, Junsheng Zhou, Haotian Geng, Wenyuan Zhang, Yu-Shen Liu |
| 2025 | IROS | Socially-Aware Robot Navigation Enhanced by Bidirectional Natural Language Conversations Using Large Language Models. | Congcong Wen, Yifan Liu, Geeta Chandra Raju Bethala, Shuaihang Yuan, Hao Huang, Yu Hao, Mengyu Wang, Yu-Shen Liu, Anthony Tzes, Yi Fang |
| 2024 | AAAI | NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views. | Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu |
| 2024 | AAAI | GridFormer: Point-Grid Transformer for Surface Reconstruction. | Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu |
| 2024 | AAAI | Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. | Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2024 | CVPR | UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. | Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han |
| 2024 | ECCV | Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes. | Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2024 | ECCV | Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds. | Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu |
| 2024 | ECCV | Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors. | Wenyuan Zhang, Kanle Shi, Yu-Shen Liu, Zhizhong Han |
| 2024 | ICLR | Uni3D: Exploring Unified 3D Representation at Scale. | Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang |
| 2024 | ICPR | Zero-Shot Object Navigation with Vision-Language Models Reasoning. | Congcong Wen, Yisiyuan Huang, Hao Huang, Yanjia Huang, Shuaihang Yuan, Yu Hao, Hui Lin, Yu-Shen Liu, Yi Fang |
| 2024 | ICPR | Goal-Driven Transformer for Robot Behavior Learning from Play Data. | Congcong Wen, Jiazhao Liang, Shuaihang Yuan, Hao Huang, Yu Hao, Hui Lin, Yu-Shen Liu, Yi Fang |
| 2024 | IROS | EMBOSR: Embodied Spatial Reasoning for Enhanced Situated Question Answering in 3D Scenes. | Yu Hao, Fan Yang, Nicholas Fang, Yu-Shen Liu |
| 2024 | ICRA | 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. | Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu, Yue Gao, Yi Fang, Zhizhong Han |
| 2023 | AAAI | KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion. | Zhen Cao, Wenxiao Zhang, Xin Wen, Zhen Dong, Yu-Shen Liu, Xiongwu Xiao, Bisheng Yang |
| 2023 | AAAI | NeAF: Learning Neural Angle Fields for Point Normal Estimation. | Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2023 | CVPR | Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors. | Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2023 | CVPR | SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. | Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han |
| 2023 | CVPR | Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. | Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han |
| 2023 | CVPR | Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting. | Haiping Wang, Yuan Liu, Zhen Dong, Yulan Guo, Yu-Shen Liu, Wenping Wang, Bisheng Yang |
| 2023 | CVPR | LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes. | Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang, Zhizhong Han |
| 2023 | ICCV | GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. | Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2023 | ICCV | Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. | Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han |
| 2023 | ICCV | Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. | Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han |
| 2023 | ICML | Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. | Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2023 | ICRA | Pyramid Learnable Tokens for 3D LiDAR Place Recognition. | Congcong Wen, Hao Huang, Yu-Shen Liu, Yi Fang |
| 2023 | SiggraphA | Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. | Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han |
| 2022 | CVPR | Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds. | Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han |
| 2022 | CVPR | Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. | Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2022 | CVPR | Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. | Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han |
| 2022 | CVPR | 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow. | Xin Wen, Junsheng Zhou, Yu-Shen Liu, Hua Su, Zhen Dong, Zhizhong Han |
| 2022 | ECCV | Latent Partition Implicit with Surface Codes for 3D Representation. | Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2021 | CVPR | Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding. | Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu |
| 2021 | CVPR | PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths. | Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu |
| 2021 | ICCV | Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. | Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker |
| 2021 | ICCV | SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. | Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han |
| 2021 | ICML | Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface. | Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker |
| 2020 | CVPR | Point Cloud Completion by Skip-Attention Network With Hierarchical Folding. | Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu |
| 2020 | ECCV | SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments from 2D Coordinates. | Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker |
| 2020 | ICML | DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. | Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker |
| 2019 | AAAI | View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. | Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker |
| 2019 | AAAI | Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. | Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker |
| 2019 | AAAI | Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. | Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker |
| 2019 | APNOMS | P4-Enabled Bandwidth Management. | Yan-Wei Chen, Li-Hsing Yen, Wei-Cheng Wang, Cheng-An Chuang, Yu-Shen Liu, Chien-Chao Tseng |
| 2019 | ICCV | Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. | Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker |
| 2019 | IJCAI | Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. | Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker |
| 2019 | IJCAI | 3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. | Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen |
| 2004 | CIS | Bilateral Filter for Meshes Using New Predictor. | Yu-Shen Liu, Pi-Qiang Yu, Jun-Hai Yong, Hui Zhang, Jia-Guang Sun |