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ORCIDJie Yang 0038
Person information
- affiliation: Institute of Computing Technolgy, Chinese Academy of Sciences, Beijing, China
- affiliation: University of Chinese Academy of Sciences, China
Other persons with the same name
- Jie Yang — disambiguation page
- Jie Yang 0001 — Carnegie Mellon University, Pittsburgh, PA, USA
- Jie Yang 0002
![[0000-0003-4801-7162]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4801-7162")
— Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China (and 1 more) - Jie Yang 0003 — Florida State University, Tallahassee, FL, USA (and 1 more)
- Jie Yang 0004 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Jie Yang 0005 — University of Massachusetts (and 1 more)
- Jie Yang 0006 — Ishizuka Lab, Tokyo University (and 1 more)
- Jie Yang 0007 — Dalian University of Technology, School of Mathematical Sciences, China
- Jie Yang 0008 — Cisco Systems (and 1 more)
- Jie Yang 0009 (aka: Jie (Jack) Yang) — University of Wollongong, SMART Infrastructure Facility, NSW, Australia
- Jie Yang 0010 — Advanced Micro Devices (and 1 more)
- Jie Yang 0011 — Xidian University, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, China
- Jie Yang 0012 — University of Houston-Victoria (and 1 more)
- Jie Yang 0013 — Syracuse University
- Jie Yang 0014 — IBM China Research Lab (and 1 more)
- Jie Yang 0015 — Yahoo! Labs (and 1 more)
- Jie Yang 0016 — South China University of Technology
- Jie Yang 0017 — Huazhong University of Science and Technology
- Jie Yang 0018 — Beijing Institute of Technology
- Jie Yang 0019 — Shanghai Second Polytechnic University
- Jie Yang 0020 — School of Business, Sun Yat-sen University
- Jie Yang 0021 — Wichita State University
- Jie Yang 0022 — Wuhan University of Technology, Key Laboratory of Fiber Optic Sensing Technology and Information Processing
- Jie Yang 0023 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Research Center of Network Monitoring and Analysis, Beijing Laboratory of Advanced Information Networks / Beijing Key Laboratory of Network System, Architecture and Convergence, China
- Jie Yang 0024 — Yanshan University, School of Electrical Engineering, Qinhuangdao, Hebei, China (and 1 more)
- Jie Yang 0025 — Southeast University, Development Research Center of Transportation Governed by Law, Nanjing, China
- Jie Yang 0026 — Jiangxi University of Science and Technology, Ganzhou, China (and 1 more)
- Jie Yang 0027 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China
- Jie Yang 0028 — Delft University of Technology, The Netherlands (and 3 more)
- Jie Yang 0029 — Hunan University, College of Computer Science and Electronic Engineering, China
- Jie Yang 0030 — Temple University, School of Dentistry, Division of Oral and Maxillofacial Radiology, Philadelphia, USA
- Jie Yang 0031 — Anhui University, School of Physics & Material Science, Hefei, China
- Jie Yang 0032 — Xidian University, Institute of Intelligent Information Processing, Xi'an, China
- Jie Yang 0033 — Westlake University, Hangzhou, China (and 2 more)
- Jie Yang 0034 — Zhejiang A & F University, Jiyang College, Zhuji, China (and 1 more)
- Jie Yang 0035 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Jie Yang 0036 — RMIT University, School of Aerospace, Mechanical and Manufacturing Engineering, Melbourne, VIC, Australia
- Jie Yang 0037 — North University of China, Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, Taiyuan, China
- Jie Yang 0039 — Harvard University, Harvard Medical School, USA (and 1 more)
- Jie Yang 0040 — Wuhan University, LIESMARS, China
- Jie Yang 0041 — Columbia University, Department of Biomedical Engineering, NY, USA
- Jie Yang 0042 — Nanjing Institute of Technology, School of Communication Engineering, China
- Jie Yang 0043 — Xi'an University of Technology, Institute of Water Resources and Hydro-Electric Engineering, China
- Jie Yang 0044 — Chongqing University, College of Computer Science, China
- Jie Yang 0045 — Northwestern University, Department of Civil and Environmental Engineering, Evanston, IL, USA
- Jie Yang 0046 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Jie Yang 0047 — Fujian Agriculture and Forestry University, College of Management, Fuzhou, China (and 1 more)
- Jie Yang 0048 — Hangzhou Dianzi University, Management School, China (and 3 more)
- Jie Yang 0049 — Chongqing University of Technology, College of Mechanical Engineering, China (and 1 more)
- Jie Yang 0050 — Nanjing University of Posts and Telecommunications, College of Electronic and Optical Engineering, China
- Jie Yang 0051 — Hangzhou Dianzi University, Key Lab for IOT and Information Fusion Technology of Zhejiang, China (and 1 more)
- Jie Yang 0052 — Zunyi Normal University, School of Physics and Electronic Science, China (and 1 more)
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Journal Articles
- 2024
[j14]Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao:
NeUDF: Learning Neural Unsigned Distance Fields With Volume Rendering. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2364-2377 (2024)- [j13]Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao:
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning. ACM Trans. Graph. 43(2): 15:1-15:17 (2024) - 2023
- [j12]Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai:
Deep Deformation Detail Synthesis for Thin Shell Models. Comput. Graph. Forum 42(5): i-viii (2023) - [j11]Lan Chen, Jie Yang, Hongbo Fu, Xiaoxu Meng, Weikai Chen, Bo Yang, Lin Gao:
ImplicitPCA: Implicitly-proxied parametric encoding for collision-aware garment reconstruction. Graph. Model. 129: 101195 (2023) - [j10]Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang:
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8902-8919 (2023) - [j9]Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao:
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation. ACM Trans. Graph. 42(1): 1:1-1:17 (2023) - [j8]Jie Yang, Lin Gao, Qingyang Tan, Yihua Huang, Shihong Xia, Yu-Kun Lai:
Multiscale Mesh Deformation Component Analysis With Attention-Based Autoencoders. IEEE Trans. Vis. Comput. Graph. 29(2): 1301-1317 (2023) - [j7]Aihua Mao, Canglan Dai, Qing Liu, Jie Yang, Lin Gao, Ying He, Yong-Jin Liu:
STD-Net: Structure-Preserving and Topology-Adaptive Deformation Network for Single-View 3D Reconstruction. IEEE Trans. Vis. Comput. Graph. 29(3): 1785-1798 (2023) - 2022
- [j6]Qingyang Tan, Ling-Xiao Zhang, Jie Yang, Yu-Kun Lai, Lin Gao:
Variational Autoencoders for Localized Mesh Deformation Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6297-6310 (2022) - [j5]Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen:
Learning on 3D Meshes With Laplacian Encoding and Pooling. IEEE Trans. Vis. Comput. Graph. 28(2): 1317-1327 (2022) - 2021
- [j4]Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Shihong Xia, Leif Kobbelt:
Sparse Data Driven Mesh Deformation. IEEE Trans. Vis. Comput. Graph. 27(3): 2085-2100 (2021) - 2019
- [j3]Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang:
SDM-NET: deep generative network for structured deformable mesh. ACM Trans. Graph. 38(6): 243:1-243:15 (2019) - 2018
- [j2]Jie Yang, Lin Gao, Yu-Kun Lai, Paul L. Rosin, Shihong Xia:
Biharmonic deformation transfer with automatic key point selection. Graph. Model. 98: 1-13 (2018) - [j1]Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L. Rosin, Weiwei Xu, Shihong Xia:
Automatic unpaired shape deformation transfer. ACM Trans. Graph. 37(6): 237 (2018)
Conference and Workshop Papers
- 2024
- [c9]Rao Fu, Yunchi Zhang, Jie Yang, Jiawei Sun, Fang-Lue Zhang, Yu-Kun Lai, Lin Gao:
ROSA-Net: Rotation-Robust Structure-Aware Network for Fine-Grained 3D Shape Retrieval. CVM (1) 2024: 295-319 - 2023
- [c8]Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao:
NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering. CVPR 2023: 237-247 - [c7]Chenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao:
NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes. ICML 2023: 15170-15185 - 2022
- [c6]Xiao-Juan Li, Jie Yang, Fang-Lue Zhang:
Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation. ECCV (29) 2022: 541-560 - [c5]Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Jintao Li, Lin Gao:
HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies. NeurIPS 2022 - 2021
- [c4]Ming-Xian Lin, Jie Yang, He Wang, Yu-Kun Lai, Rongfei Jia, Binqiang Zhao, Lin Gao:
Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning. ICCV 2021: 11385-11395 - [c3]Jia-Heng Tang, Weikai Chen, Jie Yang, Bo Wang, Songrun Liu, Bo Yang, Lin Gao:
OctField: Hierarchical Implicit Functions for 3D Modeling. NeurIPS 2021: 12648-12660 - 2020
- [c2]Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Qi Duan, Hongbo Fu, Lin Gao:
Mesh Variational Autoencoders with Edge Contraction Pooling. CVPR Workshops 2020: 1105-1112 - 2018
- [c1]Qingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia:
Mesh-Based Autoencoders for Localized Deformation Component Analysis. AAAI 2018: 2452-2459
Informal and Other Publications
- 2024
- [i14]Lin Gao, Jie Yang, Bo-Tao Zhang, Jia-Mu Sun, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai:
Mesh-based Gaussian Splatting for Real-time Large-scale Deformation. CoRR abs/2402.04796 (2024) - [i13]Tong Wu, Yu-Jie Yuan, Ling-Xiao Zhang, Jie Yang, Yan-Pei Cao, Ling-Qi Yan, Lin Gao:
Recent Advances in 3D Gaussian Splatting. CoRR abs/2403.11134 (2024) - 2023
- [i12]Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang:
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry. CoRR abs/2302.10237 (2023) - [i11]Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao:
NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering. CoRR abs/2304.10080 (2023) - 2021
- [i10]Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai:
Deep Deformation Detail Synthesis for Thin Shell Models. CoRR abs/2102.11541 (2021) - [i9]Jia-Heng Tang, Weikai Chen, Jie Yang, Bo Wang, Songrun Liu, Bo Yang, Lin Gao:
OctField: Hierarchical Implicit Functions for 3D Modeling. CoRR abs/2111.01067 (2021) - 2020
- [i8]Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao:
DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry. CoRR abs/2008.05440 (2020) - [i7]Rao Fu, Jie Yang, Jiawei Sun, Fang-Lue Zhang, Yu-Kun Lai, Lin Gao:
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval. CoRR abs/2010.00973 (2020) - [i6]Jie Yang, Lin Gao, Qingyang Tan, Yihua Huang, Shihong Xia, Yu-Kun Lai:
Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders. CoRR abs/2012.02459 (2020) - 2019
- [i5]Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Hongbo Fu, Lin Gao:
Mesh Variational Autoencoders with Edge Contraction Pooling. CoRR abs/1908.02507 (2019) - [i4]Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang:
SDM-NET: Deep Generative Network for Structured Deformable Mesh. CoRR abs/1908.04520 (2019) - [i3]Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen:
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling. CoRR abs/1910.14063 (2019) - 2017
- [i2]Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Leif Kobbelt, Shihong Xia:
Sparse Data Driven Mesh Deformation. CoRR abs/1709.01250 (2017) - [i1]Qingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia:
Mesh-based Autoencoders for Localized Deformation Component Analysis. CoRR abs/1709.04304 (2017)
Coauthor Index
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