Dawning-1000 PROOS distributed operating system. - Ninghui Sun; Wenzhuo Liu; Hong Liu 013; Chuanbao Wang; Xuelin Lu; Hao Zhang 009 (J. Comput. Sci. Technol., 1997)

Traceability Attack Algorithm on EOHLCAP RFID Authentication Protocol. - Xiuqing Chen; Tianjie Cao; Mingxiang Zhu; Wenzhuo Liu; Yu Guo (J. Comput., 2014)

Equivalent modeling and simulation for PV system on dynamic clustering equivalent strategy. - Hang Meng; Xiaohui Ye; Mingyu Yang; Xinli Song; Zhida Su; Wenzhuo Liu; Lingtong Luo; Huiying Zhao (IECON, 2017)

Modeling and simulation of unified power flow controller based on modular multilevel converters. - Xiaohui Ye; Chuanbao Chen; Haifeng Li; Xinli Song; Wenzhuo Liu; Hang Meng; Yan Zou (IECON, 2017)

Deep Statistical Solvers. - Balthazar Donon; Zhengying Liu; Wenzhuo Liu; Isabelle Guyon; Antoine Marot; Marc Schoenauer (NeurIPS, 2020)

Multi-resolution Graph Neural Networks for PDE Approximation. - Wenzhuo Liu; Mouadh Yagoubi; Marc Schoenauer (ICANN (3), 2021)

Multi-modal Fusion Technology based on Vehicle Information: A Survey. - Yan Gong; Jianli Lu; Jiayi Wu; Wenzhuo Liu (CoRR, 2022)

Spatiotemporal Differentiation of Impervious Surface in the Beijing-Tianjin-Hebei Urban Agglomeration From 2000 to 2019. - Wenzhuo Liu; Lei Zhang 141 (IEEE Geosci. Remote. Sens. Lett., 2022)

Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization. - Xiaoyu Wang; Kangyao Huang; Xinyu Zhang 001; Honglin Sun; Wenzhuo Liu; Huaping Liu 001; Jun Li 082; Pingping Lu (CoRR, 2023)

Meta-Learning for Airflow Simulations with Graph Neural Networks. - Wenzhuo Liu; Mouadh Yagoubi; Marc Schoenauer (CoRR, 2023)

Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning. - Wenzhuo Liu; Xin-Jian Wu; Fei Zhu 004; Mingming Yu; Chuang Wang 007; Cheng-Lin Liu 001 (CoRR, 2023)

Deep Graph Neural Networks for Numerical Simulation of PDEs. (Réseaux de neurones sur graphes pour la simulation numérique des EDPs). - Wenzhuo Liu (2023)

TextNeRF: A Novel Scene-Text Image Synthesis Method Based on Neural Radiance Fields. - Jialei Cui; Jianwei Du; Wenzhuo Liu; Zhouhui Lian (CVPR, 2024)

PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning. - Haiyang Guo; Fei Zhu 004; Wenzhuo Liu; Xu-Yao Zhang; Cheng-Lin Liu (ECCV (65), 2024)

MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution. - Wenzhuo Liu; Fei Zhu 004; Shijie Ma; Cheng-Lin Liu 001 (NeurIPS, 2024)

Happy: A Debiased Learning Framework for Continual Generalized Category Discovery. - Shijie Ma; Fei Zhu 004; Zhun Zhong; Wenzhuo Liu; Xu-Yao Zhang; Chenglin Liu 001 (NeurIPS, 2024)

Federated Class-Incremental Learning with Prototype Guided Transformer. - Haiyang Guo; Fei Zhu 004; Wenzhuo Liu; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2024)

Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. - Wenzhuo Liu; Fei Zhu 004; Cheng-Lin Liu 001 (CoRR, 2024)

Towards Non-Exemplar Semi-Supervised Class-Incremental Learning. - Wenzhuo Liu; Fei Zhu 004; Cheng-Lin Liu 001 (CoRR, 2024)

Multi-scale Unified Network for Image Classification. - Wenzhuo Liu; Fei Zhu 004; Cheng-Lin Liu 001 (CoRR, 2024)

MIPD: A Multi-sensory Interactive Perception Dataset for Embodied Intelligent Driving. - Zhiwei Li; Tingzhen Zhang; Meihua Zhou; Dandan Tang; Pengwei Zhang; Wenzhuo Liu; Qiaoning Yang; Tianyu Shen; Kunfeng Wang; Huaping Liu 001 (CoRR, 2024)

GLMDriveNet: Global-local Multimodal Fusion Driving Behavior Classification Network. - Wenzhuo Liu; Yan Gong; Guoying Zhang; Jianli Lu; Yunlai Zhou; Junbin Liao (Eng. Appl. Artif. Intell., 2024)

SIFDriveNet: Speed and Image Fusion for Driving Behavior Classification Network. - Yan Gong; Jianli Lu; Wenzhuo Liu; Zhiwei Li; Xinmin Jiang; Xin Gao; Xingang Wu (IEEE Trans. Comput. Soc. Syst., 2024)

Oblique Convolution: A Novel Convolution Idea for Redefining Lane Detection. - Xinyu Zhang 001; Yan Gong; Jianli Lu; Zhiwei Li; Shixiang Li; Shu Wang; Wenzhuo Liu; Li Wang 092; Jun Li 082 (IEEE Trans. Intell. Veh., 2024)

A segmentation method based on boundary fracture correction for froth scale measurement. - Yongqi Gan; Wenzhuo Liu; Jianwang Gan; Guoying Zhang (Appl. Intell., 2024)

BSSNet: A Real-Time Semantic Segmentation Network for Road Scenes Inspired From AutoEncoder. - Xiaoqiang Shi; Zhenyu Yin; Guangjie Han; Wenzhuo Liu; Li Qin; Yuanguo Bi; Shurui Li 003 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Judgmentally adjusted Q-values based on Q-ensemble for offline reinforcement learning. - Wenzhuo Liu; Shuying Xiang; Tao Zhang 090; Yanan Han; Xingxing Guo; Yahui Zhang; Yue Hao 001 (Neural Comput. Appl., 2024)

FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network. - Wenzhuo Liu; Jianli Lu; Junbin Liao; Yicheng Qiao; Guoying Zhang; Jiayin Zhu; Bozhang Xu; Zhiwei Li (IEEE Trans. Comput. Soc. Syst., 2024)

MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception. - Wenzhuo Liu; Wenshuo Wang; Yicheng Qiao; Qiannan Guo; Jiayin Zhu; Pengfei Li; Zilong Chen; Huiming Yang; Zhiwei Li; Lening Wang; Tiao Tan; Huaping Liu (CVPR, 2025)

C-CLIP: Multimodal Continual Learning for Vision-Language Model. - Wenzhuo Liu; Fei Zhu; Longhui Wei; Qi Tian 001 (ICLR, 2025)

Evaluation of urban heat island effects based on fine-resolution mapping of subpixel impervious surface dynamics over four cities in China. - Wenzhuo Liu; Lei Zhang 141; Tao He; Ming Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

SAMOccNet:Refined SAM-based surrounding semantic occupancy perception for autonomous driving. - Qifan Tan; Wenzhuo Liu; Han Bi; Lening Wang; Lei Yang; Yicheng Qiao; Zhuo Zhao; Yanhuan Jiang; Qiannan Guo; Huaping Liu 001; Zhiwei Li; Cheng Qiu (Neurocomputing, 2025)

S4-KD: A single step spiking SiamFC+ + for object tracking with knowledge distillation. - Wenzhuo Liu; Shuiying Xiang; Tao Zhang 090; Yanan Han; Yahui Zhang; Xingxing Guo; Licun Yu; Yue Hao 001 (Neural Networks, 2025)

Topic adversarial neural network for cross-topic cyberbullying detection. - Shufeng Xiong; Wenzhuo Liu; Bingkun Wang; Yinchao Che; Lei Shi (PeerJ Comput. Sci., 2025)

Class incremental learning with self-supervised pre-training and prototype learning. - Wenzhuo Liu; Xin-Jian Wu; Fei Zhu 004; Ming-Ming Yu; Chuang Wang 007; Cheng-Lin Liu 001 (Pattern Recognit., 2025)

Dynamics of Impervious Surfaces and Vegetation in Core Urban Areas of Global Megacities. - Lei Zhang 141; Jinzhou Yuan; Ming Zhang; Wenzhuo Liu; Qian Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Federated Continual Instruction Tuning. - Haiyang Guo; Fanhu Zeng; Fei Zhu 004; Wenzhuo Liu; Da-Han Wang; Jian Xu; Xu-Yao Zhang; Cheng-Lin Liu (CoRR, 2025)

Global Convergence of Continual Learning on Non-IID Data. - Fei Zhu 004; Yujing Liu; Wenzhuo Liu; Zhaoxiang Zhang 001 (CoRR, 2025)

MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception. - Wenzhuo Liu; Wenshuo Wang 001; Yicheng Qiao; Qiannan Guo; Jiayin Zhu; Pengfei Li; Zilong Chen; Huiming Yang; Zhiwei Li; Lening Wang; Tiao Tan; Huaping Liu 001 (CoRR, 2025)

VM-BHINet:Vision Mamba Bimanual Hand Interaction Network for 3D Interacting Hand Mesh Recovery From a Single RGB Image. - Han Bi; Ge Yu; Yu He; Wenzhuo Liu; Zijie Zheng (Proc. ACM Comput. Graph. Interact. Tech., 2025)

LLaVA-c: Continual Improved Visual Instruction Tuning. - Wenzhuo Liu; Fei Zhu 004; Haiyang Guo; Longhui Wei; Cheng-Lin Liu 001 (CoRR, 2025)

A Comprehensive Survey on Continual Learning in Generative Models. - Haiyang Guo; Fanhu Zeng; Fei Zhu 004; Jiayi Wang; Xukai Wang; Jingang Zhou; Hongbo Zhao 006; Wenzhuo Liu; Shijie Ma; Da-Han Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2025)

TEM^3-Learning: Time-Efficient Multimodal Multi-Task Learning for Advanced Assistive Driving. - Wenzhuo Liu; Yicheng Qiao; Zhen Wang; Qiannan Guo; Zilong Chen; Meihua Zhou; Xinran Li; Letian Wang; Zhiwei Li; Huaping Liu; Wenshuo Wang (CoRR, 2025)

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training. - Song Lai 001; Haohan Zhao; Rong Feng; Changyi Ma; Wenzhuo Liu; Hongbo Zhao 006; Xi Lin 001; Dong Yi; Min Xie; Qingfu Zhang 001; Hongbin Liu 001; Gaofeng Meng; et al. (CoRR, 2025)

MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark. - Haiyang Guo; Fei Zhu 004; Hongbo Zhao 006; Fanhu Zeng; Wenzhuo Liu; Shijie Ma; Da-Han Wang; Xu-Yao Zhang (CoRR, 2025)

UMD-Net: A Unified Multi-Task Assistive Driving Network Based on Multimodal Fusion. - Wenzhuo Liu; Yicheng Qiao; Zhiwei Li; Wenshuo Wang 001; Wei Zhang 012; Jiayin Zhu; Yanhuan Jiang; Li Wang 092; Hong Wang 014; Huaping Liu 001; Kunfeng Wang (IEEE Trans. Intell. Transp. Syst., 2025)