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2020 – today
- 2025
[j3]Shaoxu Cheng
, Kanglei Geng, Chiyuan He, Zihuan Qiu, Linfeng Xu, Heqian Qiu, Lanxiao Wang, Qingbo Wu, Fanman Meng, Hongliang Li:
Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion. IEEE Trans. Multim. 27: 4151-4166 (2025)- [c5]Yukun Chen, Zihuan Qiu, Fanman Meng, Hongliang Li, Linfeng Xu, Qingbo Wu:
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion. ICASSP 2025: 1-5 - [i8]Chiyuan He, Zihuan Qiu, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li:
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models. CoRR abs/2502.00618 (2025) - [i7]Zihuan Qiu, Yi Xu, Chiyuan He, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li:
MINGLE: Mixtures of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging. CoRR abs/2505.11883 (2025) - [i6]Yukun Chen, Zihuan Qiu, Fanman Meng, Hongliang Li, Linfeng Xu, Qingbo Wu:
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion. CoRR abs/2506.09999 (2025) - [i5]Zihuan Qiu, Lei Wang, Yang Cao, Runtong Zhang, Bing Su, Yi Xu, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li:
Null-Space Filtering for Data-Free Continual Model Merging: Preserving Transparency, Promoting Fidelity. CoRR abs/2509.21413 (2025) - [i4]Zihuan Qiu, Yi Xu, Fanman Meng, Runtong Zhang, Linfeng Xu, Qingbo Wu, Hongliang Li:
Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning. CoRR abs/2509.21898 (2025) - [i3]Qingyu Xu, Runtong Zhang, Zihuan Qiu, Fanman Meng:
FireRescue: A UAV-Based Dataset and Enhanced YOLO Model for Object Detection in Fire Rescue Scenes. CoRR abs/2512.24622 (2025) - 2024
- [c4]Zihuan Qiu, Yi Xu, Fanman Meng, Hongliang Li, Linfeng Xu, Qingbo Wu:
Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning. CVPR 2024: 24025-24035 - [i2]Shaoxu Cheng, Kanglei Geng, Chiyuan He, Zihuan Qiu, Linfeng Xu, Heqian Qiu, Lanxiao Wang, Qingbo Wu, Fanman Meng, Hongliang Li:
Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion. CoRR abs/2408.02695 (2024) - 2023
- [j2]Zihuan Qiu, Linfeng Xu, Zhichuan Wang, Qingbo Wu, Fanman Meng, Hongliang Li:
ISM-Net: Mining incremental semantics for class incremental learning. Neurocomputing 523: 130-143 (2023) - [j1]Zhichuan Wang, Linfeng Xu, Zihuan Qiu, Qingbo Wu, Fanman Meng, Hongliang Li:
GFR: Generic feature representations for class incremental learning. Neurocomputing 548: 126410 (2023) - [c3]Bowen Tan, Linfeng Xu, Zihuan Qiu, Qingbo Wu, Fanman Meng:
MFAT: A Multi-Level Feature Aggregated Transformer for Person Re-Identification. ICASSP 2023: 1-5 - 2022
- [c2]Chiyuan He, Linfeng Xu, Zihuan Qiu:
Eldnet: Establishment and Refinement of Edge Likelihood Distributions for Camouflaged Object Detection. ICIP 2022: 621-625 - [c1]Zihuan Qiu, Zhichuan Wang, Miaomiao Zhang, Ziyong Xu, Jie Fan, Linfeng Xu:
BDG-Net: boundary distribution guided network for accurate polyp segmentation. Image Processing 2022 - [i1]Zihuan Qiu, Zhichuan Wang, Miaomiao Zhang, Ziyong Xu, Jie Fan, Linfeng Xu:
BDG-Net: Boundary Distribution Guided Network for Accurate Polyp Segmentation. CoRR abs/2201.00767 (2022)
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