2000-2006 清华大学计算机科学与技术系 博士学位
1996-2000 吉林大学数学系 学士学位
2009 至今 清华大学软件学院
2006-2009 美国普渡(Purdue)大学机械工程学院 博士后
Associate Editor (AE)
IEEE Transactions on Visualization and Computer Graphics (TVCG) 2025
Area Chair (AC)
Neural Information Processing Systems (NeurIPS) 2026
International Conference on Learning Representations (ICLR) 2026
International Joint Conference on Artificial Intelligence (IJCAI) 2025
Senior Program Committee (SPC)
International Joint Conference on Artificial Intelligence (IJCAI) 2021, 2023, 2024, 2025
AAAI Conference on Artificial Intelligence (AAAI) 2022, 2026
Others
Outstanding Program Committee Award (AAAI 2026)
Outstanding reviewer for Automation in Construction (2018)
Outstanding reviewer for Journal of Computational and Applied Mathematics (2018)
国家自然科学基金： 基于深度隐式表达学习的三维点云重建 (62272263), 2023.01-2026.12，负责人;
国家自然科学基金： 基于特征表示学习的三维点云语义实例分割与形状补全 (62072268), 2021.01-2024.12，负责人;
国家重点研发计划课题： 面向城市治理CIM的理论框架与方法体系研究 (2022YFC3800601), 2022.11-2025.12，负责人;
国家科技重大专项课题： 钒钛磁铁矿智能找矿预测与勘察示范 (2024ZD1003405), 2024.11-2028.10，子课题负责人;
国家重点研发计划课题：面向全生命周期的京张高铁隧道与地下车站智能展示和控制技术 (2020YFF0304100), 2020.10-2022.12, 子课题负责人;
国家重点研发计划课题：城镇空间信息协同管理及综合服务平台 (2018YFB0505403)，2018.05-2022.04, 课题负责人；
国家自然科学基金：基于IFC的建筑信息模型(BIM)语义检索技术研究（61472202），2015.01-2018.12，负责人；
国家自然科学基金：基于度量几何的三维关节变形模型的形状匹配研究（61272229），2013.01-2016.12，负责人；
国家自然科学基金：非刚性三维模型检索技术研究（61003095），2011.01-2013.12，负责人；
科技部“十二五”国家科技支撑计划项目：城镇住宅建设BIM技术研究及其产业化应用示范（2012BAJ03B00），2012.01-2015.09，主要研究人员；
国家自然科学基金：中国建筑信息化技术发展战略研究（U0970155），主要研究人员。
《程序设计基础》(课程号: 34100063), 本科生, 清华大学精品课程 (2021-2024)
《数字几何处理》(课程号: 84100272), 研究生, 清华大学年度教学优秀奖
《业务流程与资产管理》(课程号: 84108033), 研究生
2024年，入选“全球前2%顶尖科学家榜单”.
2019年，获 “清华大学年度教 学优秀奖”.
2017年，获 “清华大学优秀班（级）主任”一等奖.
2016年，2016年获得SCI期刊《Advanced Engineering Informatics》(CCF B类期刊)高被引研究奖(Highly Cited Research Award)，该奖项表彰从2014至2016年期间引用率最高的5篇论文 (one of the most highly cited papers during 2014, 2015 and up until June 2016).
2016年，所指导的博士生高歌获第16届国际土木与建筑工程计算国际会议(ICCCBE2016)的最佳学生报告(Best Student Presentation)奖.
2005年, CAD/Graphics 2005最佳学生论文奖(Best Student Paper Award).
2006年, 清华大学校级优秀博士学位论文(二等奖).
2005年, 清华大学研究生奖学金(英特尔奖学金).
2004年, 清华大学“一二·九优秀辅导员奖”
Selected Publications： (*为通讯作者, #为共同一作)
[1]. Junsheng Zhou#, Weiqi Zhang#, Baorui Ma, Kanle Shi, Yu-Shen Liu*, Zhizhong Han. UDFStudio: A Unified Framework of Datasets, Benchmarks and Generative Models for Unsigned Distance Functions. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026
[2]. Wenyuan Zhang, Chunsheng Wang, Kanle Shi, Yu-Shen Liu*, Zhizhong Han. VRP-UDF: Towards Unbiased Learning of Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026, 48(5): 5844-5861.
[3]. Qing Li, Huifang Feng*, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu*, Zhizhong Han. PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2026, 32(2): 1713-1728.
[4]. Junsheng Zhou#, Zhifan Yang#, Liang Han, Wenyuan Zhang, Kanle Shi, Shenkun Xu, Yu-Shen Liu*. 4C4D: 4 Camera 4D Gaussian Splatting. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
[5]. Weiqi Zhang#, Junsheng Zhou#, Haotian Geng, Kanle Shi, Shenkun Xu, Yi Fang, Yu-Shen Liu*. GaussianGrow: Geometry-aware Gaussian Growing from 3D Point Clouds with Text Guidance. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
[6]. Takeshi Noda, Yu-Shen Liu*, Zhizhong Han. 3D Gaussian Splatting with Self-Constrained Priors for High Fidelity Surface Reconstruction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
[7]. Juntong Fang#, Zequn Chen#, Weiqi Zhang#, Donglin Di, Xuancheng Zhang, Chengmin Yang, Yu-Shen Liu*. MoRe: Motion-aware Feed-forward 4D Reconstruction Transformer. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (Highlight)
[8]. Peng Xiang, Liang Han, Hui Zhang*, Yu-Shen Liu*, Zhizhong Han. VGGS: VGGT-guided Gaussian Splatting for Efficient and Faithful Sparse-View Surface Reconstruction. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026, 40(13), 10969-10977.
[9]. Shengtao Li, Yudong Liu, Ge Gao*, Ming Gu, Yu-Shen Liu. I-Filtering: Implicit Filtering for Learning Neural Distance Functions from 3D Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026, 48(1): 109-126.
[10]. Wenyuan Zhang#, Jimin Tang#, Weiqi Zhang, Yi Fang, Yu-Shen Liu*, Zhizhong Han. MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference. Neural Information Processing Systems (NeurIPS), 2025.
[11]. Junsheng Zhou#, Xingyu Shi#, Haichuan Song*, Yi Fang, Yu-Shen Liu*, Zhizhong Han. U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching. Neural Information Processing Systems (NeurIPS), 2025.
[12]. Qing Li, Huifang Feng, Xun Gong, Yu-Shen Liu. VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment. Neural Information Processing Systems (NeurIPS), 2025.
[13]. Chao Chen, Yu-Shen Liu*, Zhizhong Han. NeuralTPS: Learning Signed Distance Functions without Priors from Single Sparse Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025, 47(1): 565-582.
[14]. Liang Han, Xu Zhang, Haichuan Song*, Kanle Shi, Yu-Shen Liu*, Zhizhong Han. SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
[15]. Weiqi Zhang#, Junsheng Zhou#*, Haotian Geng#, Wenyuan Zhang, Yu-Shen Liu*. GAP: Gaussianize Any Point Clouds with Text Guidance. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
[16]. Qing Li, Huifang Feng*, Xun Gong, Yu-Shen Liu. Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
[17]. Wenyuan Zhang, Emily Yue-ting Jia, Junsheng Zhou, Baorui Ma, Kanle Shi, Yu-Shen Liu*, Zhizhong Han. NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, pp. 11317-11327. (Highlight)
[18]. Wenyuan Zhang, Yixiao Yang, Han Huang, Liang Han, Kanle Shi, Yu-Shen Liu*, Zhizhong Han. MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, pp. 21642-21653.
[19]. Shujuan Li, Yu-Shen Liu*, Zhizhong Han. GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, pp. 27113-27123. (Highlight)
[20]. Takeshi Noda#, Chao Chen#, Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu*, Zhizhong Han. Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, pp. 22139-22149.
[21]. Chao Chen, Yu-Shen Liu*, Zhizhong Han. Sharpening Neural Implicit Functions with Frequency Consolidation Priors. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. (Oral)
[22]. Han Huang#, Yulun Wu#, Chao Deng, Ge Gao*, Ming Gu, Yu-Shen Liu. FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. (Oral)
[23]. Yulun Wu#, Han Huang#, Wenyuan Zhang, Chao Deng, Ge Gao*, Ming Gu, Yu-Shen Liu. Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. (Oral)
[24]. Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu*, Zhizhong Han. Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, 46(12): 9957-9974.
[25]. Junsheng Zhou#, Baorui Ma#, Yu-Shen Liu*, Zhizhong Han. Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, 46(12): 8936-8953.
[26]. Junsheng Zhou#, Baorui Ma#, Shujuan Li, Yu-Shen Liu*, Yi Fang, Zhizhong Han. CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, 46(12): 7475-7492.
[27]. Wenyuan Zhang, Yu-Shen Liu*, Zhizhong Han. Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set. Neural Information Processing Systems (NeurIPS), 2024.
[28]. Liang Han, Junsheng Zhou, Yu-Shen Liu*, Zhizhong Han. Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis. Neural Information Processing Systems (NeurIPS), 2024.
[29]. Junsheng Zhou#, Weiqi Zhang#, Yu-Shen Liu*. DiffGS: Functional Gaussian Splatting Diffusion. Neural Information Processing Systems (NeurIPS), 2024.
[30]. Junsheng Zhou, Yu-Shen Liu*, Zhizhong Han. Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly. Neural Information Processing Systems (NeurIPS), 2024.
[31]. Chao Chen, Yu-Shen Liu*, Zhizhong Han. Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors. Neural Information Processing Systems (NeurIPS), 2024.
[32]. Takeshi Noda#, Chao Chen#, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu*, Zhizhong Han. MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step. Neural Information Processing Systems (NeurIPS), 2024.
[33]. Junsheng Zhou#, Weiqi Zhang#, Baorui Ma*, Kanle Shi, Yu-Shen Liu*, Zhizhong Han. UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[34]. Wenyuan Zhang, Kanle Shi, Yu-Shen Liu*, Zhizhong Han. Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors. European Conference on Computer Vision (ECCV), 2024.
[35]. Chao Chen, Yu-Shen Liu*, Zhizhong Han. Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes. European Conference on Computer Vision (ECCV), 2024.
[36]. Shengtao Li, Ge Gao*, Yudong Liu, Ming Gu, Yu-Shen Liu. Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds. European Conference on Computer Vision (ECCV), 2024.
[37]. Baorui Ma, Yu-Shen Liu*, Matthias Zwicker, Zhizhong Han. Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images. ACM Multimedia (ACM MM), 2024.
[38]. Junsheng Zhou#, Jinsheng Wang#, Baorui Ma*#, Yu-Shen Liu, Tiejun Huang, Xinlong Wang*. Uni3D: Exploring Unified 3D Representation at Scale. International Conference on Learning Representations (ICLR), 2024. (Spotlight)
[39]. Shujuan Li#, Junsheng Zhou#, Baorui Ma, Yu-Shen Liu*, Zhizhong Han. Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. AAAI Conference on Artificial Intelligence (AAAI), 2024, pp. 3181-3189.
[40]. Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao*, Ming Gu, Yu-Shen Liu. NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views. AAAI Conference on Artificial Intelligence (AAAI), 2024, pp. 2312-2320.
[41]. Shengtao Li, Ge Gao*, Yudong Liu, Yu-Shen Liu, Ming Gu. GridFormer: Point-Grid Transformer for Surface Reconstruction. AAAI Conference on Artificial Intelligence (AAAI), 2024, pp. 3163-3171.
[42]. Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu*, Yue Gao, Yi Fang, Zhizhong Han. 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. IEEE International Conference on Robotics and Automation (ICRA), 2024.
