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ORCIDWenzhuo Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j11]Wenzhuo Liu
, Xin-Jian Wu, Fei Zhu, Ming-Ming Yu, Chuang Wang, Cheng-Lin Liu:
Class incremental learning with self-supervised pre-training and prototype learning. Pattern Recognit. 157: 110943 (2025)- 2024
- [j10]Yongqi Gan, Wenzhuo Liu, Jianwang Gan, Guoying Zhang:
A segmentation method based on boundary fracture correction for froth scale measurement. Appl. Intell. 54(9-10): 6959-6980 (2024) - [j9]Wenzhuo Liu, Yan Gong, Guoying Zhang, Jianli Lu, Yunlai Zhou, Junbin Liao:
GLMDriveNet: Global-local Multimodal Fusion Driving Behavior Classification Network. Eng. Appl. Artif. Intell. 129: 107575 (2024) - [j8]Wenzhuo Liu, Shuying Xiang, Tao Zhang, Yanan Han, Xingxing Guo, Yahui Zhang, Yue Hao:
Judgmentally adjusted Q-values based on Q-ensemble for offline reinforcement learning. Neural Comput. Appl. 36(25): 15255-15277 (2024) - [j7]Yan Gong, Jianli Lu, Wenzhuo Liu, Zhiwei Li, Xinmin Jiang, Xin Gao, Xingang Wu:
SIFDriveNet: Speed and Image Fusion for Driving Behavior Classification Network. IEEE Trans. Comput. Soc. Syst. 11(1): 1244-1259 (2024) - [j6]Wenzhuo Liu, Jianli Lu, Junbin Liao, Yicheng Qiao, Guoying Zhang, Jiayin Zhu, Bozhang Xu, Zhiwei Li:
FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network. IEEE Trans. Comput. Soc. Syst. 11(5): 6745-6758 (2024) - [j5]Xiaoqiang Shi, Zhenyu Yin, Guangjie Han, Wenzhuo Liu, Li Qin, Yuanguo Bi, Shurui Li:
BSSNet: A Real-Time Semantic Segmentation Network for Road Scenes Inspired From AutoEncoder. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3424-3438 (2024) - [j4]Xinyu Zhang, Yan Gong, Jianli Lu, Zhiwei Li, Shixiang Li, Shu Wang, Wenzhuo Liu, Li Wang, Jun Li:
Oblique Convolution: A Novel Convolution Idea for Redefining Lane Detection. IEEE Trans. Intell. Veh. 9(2): 4025-4039 (2024) - [c5]Jialei Cui, Jianwei Du, Wenzhuo Liu, Zhouhui Lian:
TextNeRF: A Novel Scene-Text Image Synthesis Method Based on Neural Radiance Fields. CVPR 2024: 22272-22281 - [i9]Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Federated Class-Incremental Learning with Prototype Guided Transformer. CoRR abs/2401.02094 (2024) - [i8]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. CoRR abs/2403.18266 (2024) - [i7]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Towards Non-Exemplar Semi-Supervised Class-Incremental Learning. CoRR abs/2403.18291 (2024) - [i6]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Multi-scale Unified Network for Image Classification. CoRR abs/2403.18294 (2024) - [i5]Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu:
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution. CoRR abs/2405.18240 (2024) - 2023
- [b1]Wenzhuo Liu:
Deep Graph Neural Networks for Numerical Simulation of PDEs. (Réseaux de neurones sur graphes pour la simulation numérique des EDPs). University of Paris-Saclay, France, 2023 - [i4]Xiaoyu Wang, Kangyao Huang, Xinyu Zhang, Honglin Sun, Wenzhuo Liu, Huaping Liu, Jun Li, Pingping Lu:
Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization. CoRR abs/2305.08178 (2023) - [i3]Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer:
Meta-Learning for Airflow Simulations with Graph Neural Networks. CoRR abs/2306.10624 (2023) - [i2]Wenzhuo Liu, Xinjian Wu, Fei Zhu, Mingming Yu, Chuang Wang, Cheng-Lin Liu:
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning. CoRR abs/2308.02346 (2023) - 2022
- [j3]Wenzhuo Liu, Lei Zhang:
Spatiotemporal Differentiation of Impervious Surface in the Beijing-Tianjin-Hebei Urban Agglomeration From 2000 to 2019. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [i1]Yan Gong, Jianli Lu, Jiayi Wu, Wenzhuo Liu:
Multi-modal Fusion Technology based on Vehicle Information: A Survey. CoRR abs/2211.06080 (2022) - 2021
- [c4]Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer:
Multi-resolution Graph Neural Networks for PDE Approximation. ICANN (3) 2021: 151-163 - 2020
- [c3]Balthazar Donon, Zhengying Liu, Wenzhuo Liu, Isabelle Guyon, Antoine Marot, Marc Schoenauer:
Deep Statistical Solvers. NeurIPS 2020
2010 – 2019
- 2017
- [c2]Xiaohui Ye, Chuanbao Chen, Haifeng Li, Xinli Song, Wenzhuo Liu, Hang Meng, Yan Zou:
Modeling and simulation of unified power flow controller based on modular multilevel converters. IECON 2017: 4967-4971 - [c1]Hang Meng, Xiaohui Ye, Mingyu Yang, Xinli Song, Zhida Su, Wenzhuo Liu, Lingtong Luo, Huiying Zhao:
Equivalent modeling and simulation for PV system on dynamic clustering equivalent strategy. IECON 2017: 5779-5784 - 2014
- [j2]Xiuqing Chen, Tianjie Cao, Mingxiang Zhu, Wenzhuo Liu, Yu Guo:
Traceability Attack Algorithm on EOHLCAP RFID Authentication Protocol. J. Comput. 9(4): 938-946 (2014)
1990 – 1999
- 1997
- [j1]Ninghui Sun, Wenzhuo Liu, Hong Liu, Chuanbao Wang, Xuelin Lu, Hao Zhang:
Dawning-1000 PROOS distributed operating system. J. Comput. Sci. Technol. 12(2): 160-166 (1997)
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