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Wenzhuo Liu
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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) - [c6]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 - [c5]Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu:
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning. ECCV (65) 2024: 141-159 - [i10]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) - [i9]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. CoRR abs/2403.18266 (2024) - [i8]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Towards Non-Exemplar Semi-Supervised Class-Incremental Learning. CoRR abs/2403.18291 (2024) - [i7]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Multi-scale Unified Network for Image Classification. CoRR abs/2403.18294 (2024) - [i6]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) - [i5]Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery. CoRR abs/2410.06535 (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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