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ORCIDWei Peng 0009
Person information
- affiliation: Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford, CA, USA
- affiliation (PhD 2022): University of Oulu, Center for Machine Vision and Signal Analysis, Oulu, Finland
Other persons with the same name
- Wei Peng — disambiguation page
- Wei Peng 0001 — Xerox Innovation Group, Webster, NY, USA (and 1 more)
- Wei Peng 0002
![[0000-0003-1576-4532]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1576-4532")
— Michigan State University, Department of Media and Information, East Lansing, MI, USA (and 1 more) - Wei Peng 0003 — Huazhong University of Science and Technology, School of Cyber Science and Engineering, Wuhan, China (and 3 more)
- Wei Peng 0004 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Yunnan, China (and 1 more)
- Wei Peng 0005 — National University of Defense Technology, College of Computer, Changsha, China
- Wei Peng 0006 — Shandong Jianzhu University, School of Information and Electrical Engineering, Jinan, China
- Wei Peng 0007 — Intel Corporation, Folsom, USA (and 1 more)
- Wei Peng 0008 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Wei Peng 0010 — Chinese Academy of Military Science, Defense Innovation Institute, Beijing, China (and 2 more)
- Wei Peng 0011 — Huawei Technologies, Shenzhen, China (and 2 more)
- Wei Peng 0012 — Changsha University of Science and Technology, School of Traffic and Transportation Engineering, Institute of Radar Remote Sensing Applications for Traffic Surveying and Mapping, Changsha, China (and 2 more)
- Wei Peng 0013 — New York University, Department of Computer Science, New York, NY, USA (and 1 more)
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Journal Articles
- 2024
[j14]Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl:
Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs. Medical Image Anal. 98: 103325 (2024)- [j13]Hao Yu, Xu Cheng, Kevin Ho Man Cheng, Wei Peng, Zitong Yu, Guoying Zhao:
Discovering attention-guided cross-modality correlation for visible-infrared person re-identification. Pattern Recognit. 155: 110643 (2024) - [j12]Tuomas Varanka, Yante Li, Wei Peng, Guoying Zhao:
Data Leakage and Evaluation Issues in Micro-Expression Analysis. IEEE Trans. Affect. Comput. 15(1): 186-197 (2024) - [j11]Jinsheng Wei, Wei Peng, Guanming Lu, Yante Li, Jingjie Yan, Guoying Zhao:
Geometric Graph Representation With Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition. IEEE Trans. Affect. Comput. 15(3): 1343-1357 (2024) - [j10]Bike Chen, Wei Peng, Xiaofeng Cao, Juha Röning:
Hyperbolic Uncertainty Aware Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 25(2): 1275-1290 (2024) - [j9]Yawen Cui, Zitong Yu, Wei Peng, Qi Tian, Li Liu:
Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry. IEEE Trans. Multim. 26: 5897-5910 (2024) - 2022
- [j8]Henglin Shi, Wei Peng, Haoyu Chen, Xin Liu, Guoying Zhao:
Multiscale 3D-Shift Graph Convolution Network for Emotion Recognition From Human Actions. IEEE Intell. Syst. 37(4): 103-110 (2022) - [j7]Wei Peng, Tuomas Varanka, Abdelrahman Mostafa, Henglin Shi, Guoying Zhao:
Hyperbolic Deep Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10023-10044 (2022) - 2021
- [j6]Wei Peng, Xiaopeng Hong, Guoying Zhao, Erik Cambria:
Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis. IEEE Intell. Syst. 36(3): 82-89 (2021) - [j5]Wei Peng, Jingang Shi, Tuomas Varanka, Guoying Zhao:
Rethinking the ST-GCNs for 3D skeleton-based human action recognition. Neurocomputing 454: 45-53 (2021) - [j4]Yanying Liang, Wei Peng, Zhu-Jun Zheng, Olli Silvén, Guoying Zhao:
A hybrid quantum-classical neural network with deep residual learning. Neural Networks 143: 133-147 (2021) - [j3]Wei Peng, Xiaopeng Hong, Guoying Zhao:
Tripool: Graph triplet pooling for 3D skeleton-based action recognition. Pattern Recognit. 115: 107921 (2021) - [j2]Wei Peng, Jingang Shi, Guoying Zhao:
Spatial Temporal Graph Deconvolutional Network for Skeleton-Based Human Action Recognition. IEEE Signal Process. Lett. 28: 244-248 (2021) - 2020
- [j1]Zhaoqiang Xia, Wei Peng, Huai-Qian Khor, Xiaoyi Feng, Guoying Zhao:
Revealing the Invisible With Model and Data Shrinking for Composite-Database Micro-Expression Recognition. IEEE Trans. Image Process. 29: 8590-8605 (2020)
Conference and Workshop Papers
- 2024
- [c22]Jiezhou He, Zhiming Luo, Wei Peng, Songzhi Su, Shaozi Li:
CC-DA: Cross-Domain Consistency Data Augmentation for 3D Tumor Segmentation. ICASSP 2024: 1936-1940 - [c21]Jiaqi Wu, Wei Peng, Binxu Li, Yu Zhang, Kilian M. Pohl:
Evaluating the Quality of Brain MRI Generators. MICCAI (10) 2024: 297-307 - 2023
- [c20]Abdelrahman Mostafa, Wei Peng, Guoying Zhao:
SRBGCN: Tangent space-Free Lorentz Transformations for Graph Feature Learning. BMVC 2023: 669 - [c19]Hao Yu, Xu Cheng, Wei Peng:
TOPLight: Lightweight Neural Networks with Task-Oriented Pretraining for Visible-Infrared Recognition. CVPR 2023: 3541-3550 - [c18]Hao Yu, Xu Cheng, Wei Peng, Weihao Liu, Guoying Zhao:
Modality Unifying Network for Visible-Infrared Person Re-Identification. ICCV 2023: 11151-11161 - [c17]Wei Peng, Ehsan Adeli, Tomas M. Bosschieter, Sanghyun Park, Qingyu Zhao, Kilian M. Pohl:
Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. MICCAI (8) 2023: 14-24 - [c16]Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl:
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. PRIME@MICCAI 2023: 172-183 - [c15]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl:
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. MICCAI (1) 2023: 279-289 - [c14]Xupeng Guo, Wei Peng, Hexiang Huang, Zhaoqiang Xia:
Micro-gesture Online Recognition with Graph-convolution and Multiscale Transformers for Long Sequence. MiGA@IJCAI 2023 - [c13]Hexiang Huang, Xupeng Guo, Wei Peng, Zhaoqiang Xia:
Micro-gesture Classification Based on Ensemble Hypergraph-convolution Transformer. MiGA@IJCAI 2023 - [c12]Tuomas Varanka, Wei Peng, Guoying Zhao:
Learnable Eulerian Dynamics for Micro-Expression Action Unit Detection. SCIA (2) 2023: 385-400 - 2022
- [c11]Wei Peng, Li Feng, Guoying Zhao, Fang Liu:
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks. CVPR 2022: 20762-20771 - [c10]Abdelrahman Mostafa, Wei Peng, Guoying Zhao:
Hyperbolic Spatial Temporal Graph Convolutional Networks. ICIP 2022: 3301-3305 - 2021
- [c9]Yante Li, Wei Peng, Guoying Zhao:
Micro-expression Action Unit Detection with Dual-view Attentive Similarity-Preserving Knowledge Distillation. FG 2021: 1-8 - [c8]Tuomas Varanka, Wei Peng, Guoying Zhao:
Micro-Expression Recognition with Noisy Labels. HVEI 2021 - [c7]Haoyu Chen, Hao Tang, Henglin Shi, Wei Peng, Nicu Sebe, Guoying Zhao:
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer. ICCV 2021: 8610-8619 - [c6]Henglin Shi, Wei Peng, Xin Liu, Guoying Zhao:
Graph Adversarial Learning for Noisy Skeleton-based Action Recognition. Image Processing: Algorithms and Systems 2021 - 2020
- [c5]Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao:
Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching. AAAI 2020: 2669-2676 - [c4]Wei Peng, Jingang Shi, Zhaoqiang Xia, Guoying Zhao:
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition. ACM Multimedia 2020: 1432-1440 - 2019
- [c3]Wei Peng, Xiaopeng Hong, Yingyue Xu, Guoying Zhao:
A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework. FG 2019: 1-5 - [c2]Zitong Yu, Wei Peng, Xiaobai Li, Xiaopeng Hong, Guoying Zhao:
Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement. ICCV 2019: 151-160 - [c1]Wei Peng, Xiaopeng Hong, Guoying Zhao:
Video Action Recognition Via Neural Architecture Searching. ICIP 2019: 11-15
Informal and Other Publications
- 2024
- [i21]Guangyi Wang, Yuren Cai, Lijiang Li, Wei Peng, Songzhi Su:
PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and Future. CoRR abs/2408.08822 (2024) - [i20]Wei Peng, Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Ben Glocker, Kilian M. Pohl:
Latent 3D Brain MRI Counterfactual. CoRR abs/2409.05585 (2024) - [i19]Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl:
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. CoRR abs/2409.13887 (2024) - 2023
- [i18]Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl:
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. CoRR abs/2308.09907 (2023) - [i17]Hao Yu, Xu Cheng, Wei Peng, Weihao Liu, Guoying Zhao:
Modality Unifying Network for Visible-Infrared Person Re-Identification. CoRR abs/2309.06262 (2023) - [i16]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl:
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. CoRR abs/2310.00213 (2023) - [i15]Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl:
Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs. CoRR abs/2310.04630 (2023) - 2022
- [i14]Wei Peng, Li Feng, Guoying Zhao, Fang Liu:
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks. CoRR abs/2204.02480 (2022) - [i13]Jinsheng Wei, Wei Peng, Guanming Lu, Yante Li, Jingjie Yan, Guoying Zhao:
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition. CoRR abs/2205.00380 (2022) - [i12]Yawen Cui, Zitong Yu, Wei Peng, Li Liu:
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry. CoRR abs/2207.09963 (2022) - [i11]Tuomas Varanka, Yante Li, Wei Peng, Guoying Zhao:
Data Leakage and Evaluation Issues in Micro-Expression Analysis. CoRR abs/2211.11425 (2022) - 2021
- [i10]Wei Peng, Tuomas Varanka, Abdelrahman Mostafa, Henglin Shi, Guoying Zhao:
Hyperbolic Deep Neural Networks: A Survey. CoRR abs/2101.04562 (2021) - [i9]Haoyu Chen, Hao Tang, Henglin Shi, Wei Peng, Nicu Sebe, Guoying Zhao:
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer. CoRR abs/2108.07520 (2021) - 2020
- [i8]Zhaoqiang Xia, Wei Peng, Huai-Qian Khor, Xiaoyi Feng, Guoying Zhao:
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition. CoRR abs/2006.09674 (2020) - [i7]Wei Peng, Jingang Shi, Zhaoqiang Xia, Guoying Zhao:
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition. CoRR abs/2007.15678 (2020) - [i6]Haoyu Chen, Zitong Yu, Xin Liu, Wei Peng, Yoon Lee, Guoying Zhao:
2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework. CoRR abs/2008.03996 (2020) - [i5]Yanying Liang, Wei Peng, Zhu-Jun Zheng, Olli Silvén, Guoying Zhao:
Quantum neural networks with deep residual learning. CoRR abs/2012.07772 (2020) - 2019
- [i4]Wei Peng, Xiaopeng Hong, Yingyue Xu, Guoying Zhao:
A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework. CoRR abs/1901.07765 (2019) - [i3]Wei Peng, Xiaopeng Hong, Guoying Zhao:
Video Action Recognition Via Neural Architecture Searching. CoRR abs/1907.04632 (2019) - [i2]Zitong Yu, Wei Peng, Xiaobai Li, Xiaopeng Hong, Guoying Zhao:
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement. CoRR abs/1907.11921 (2019) - [i1]Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao:
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching. CoRR abs/1911.04131 (2019)
Coauthor Index
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