Eldnet: Establishment and Refinement of Edge Likelihood Distributions for Camouflaged Object Detection. - Chiyuan He; Linfeng Xu 001; Zihuan Qiu (ICIP, 2022)

BDG-Net: boundary distribution guided network for accurate polyp segmentation. - Zihuan Qiu; Zhichuan Wang; Miaomiao Zhang; Ziyong Xu; Jie Fan; Linfeng Xu 001 (Image Processing, 2022)

MFAT: A Multi-Level Feature Aggregated Transformer for Person Re-Identification. - Bowen Tan; Linfeng Xu 001; Zihuan Qiu; Qingbo Wu 001; Fanman Meng (ICASSP, 2023)

ISM-Net: Mining incremental semantics for class incremental learning. - Zihuan Qiu; Linfeng Xu 001; Zhichuan Wang; Qingbo Wu 001; Fanman Meng; Hongliang Li 001 (Neurocomputing, 2023)

GFR: Generic feature representations for class incremental learning. - Zhichuan Wang; Linfeng Xu 001; Zihuan Qiu; Qingbo Wu 001; Fanman Meng; Hongliang Li 001 (Neurocomputing, 2023)

Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning. - Zihuan Qiu; Yi Xu; Fanman Meng; Hongliang Li 001; Linfeng Xu 001; Qingbo Wu 001 (CVPR, 2024)

Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion. - Yukun Chen; Zihuan Qiu; Fanman Meng; Hongliang Li 001; Linfeng Xu 001; Qingbo Wu 001 (ICASSP, 2025)

Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion. - Shaoxu Cheng; Kanglei Geng; Chiyuan He; Zihuan Qiu; Linfeng Xu 001; Heqian Qiu; Lanxiao Wang; Qingbo Wu 001; Fanman Meng; Hongliang Li 001 (IEEE Trans. Multim., 2025)

DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models. - Chiyuan He; Zihuan Qiu; Fanman Meng; Linfeng Xu 001; Qingbo Wu 001; Hongliang Li 001 (CoRR, 2025)

MINGLE: Mixtures of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging. - Zihuan Qiu; Yi Xu; Chiyuan He; Fanman Meng; Linfeng Xu 001; Qingbo Wu 001; Hongliang Li 001 (CoRR, 2025)