Zihuan Qiu<br/>(邱子欢)

Zihuan Qiu
(邱子欢)

📝 Publications

CVPR 2024
sym

Dual-consistency Model Inversion for Non-exemplar Class Incremental Learning
Zihuan Qiu, Yi Xu, Fanman Meng, Hongliang Li, Linfeng Xu, Qingbo Wu

  • DCMI: Uses semantic + domain consistency to generate high-fidelity synthetic old-class images, sharply cutting domain shift.
  • Prototypical Routing: Leverages class prototypes to reduce bias and lift old-class accuracy, achieving state-of-the-art results.
Neurocomputing 2023
sym

ISM-Net: Mining incremental semantics for class incremental learning
Zihuan Qiu, Linfeng Xu, Zhichuan Wang, Qingbo Wu, Fanman Meng, Hongliang Li

  • Incremental Semantics Mining (ISM) – strips old-class semantics from new-class features, sharply cutting old–new confusion and catastrophic forgetting.
  • Lightweight Expansion + Old-Model Queue – distillation adds a compact extra feature space while a rolling queue preserves early knowledge, delivering SOTA accuracy with minimal memory/compute on CIFAR-100 and ImageNet.
  • TMM 2025 [Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion], Shaoxu Cheng, Kanglei Geng, Chiyuan He, Zihuan Qiu, Linfeng Xu, Heqian Qiu, Lanxiao Wang, Qingbo Wu, Fanman Meng, Hongliang Li.
  • ICASSP 2025 [GFR: Generic feature representations for class incremental learning], Yukun Chen, Zihuan Qiu, Fanman Meng, Hongliang Li, Linfeng Xu, Qingbo Wu.
  • IEEE Sensors Journal 2024 [Continual Egocentric Activity Recognition with Foreseeable-Generalized Visual-IMU Representations], Chiyuan He, Shaoxu Cheng, Zihuan Qiu, Linfeng Xu, Fanman Meng, Qingbo Wu, Hongliang Li.
  • Neurocomputing 2023 [GFR: Generic feature representations for class incremental learning], Zhichuan Wang, Linfeng Xu, Zihuan Qiu, Qingbo Wu, Fanman Meng, Hongliang Li.
  • ICASSP 2023 [MFAT: A multi-level feature aggregated transformer for person re-identification],Bowen Tan, Linfeng Xu, Zihuan Qiu, Qingbo Wu, Fanman Meng.
  • ICIP 2022 [Eldnet: Establishment and refinement of edge likelihood distributions for camouflaged object detection], Chiyuan He, Linfeng Xu, Zihuan Qiu.
  • SPIE Medical Imaging 2022 BDG-Net: boundary distribution guided network for accurate polyp segmentation, Zihuan Qiu, Zhichuan Wang, Miaomiao Zhang, Ziyong Xu, Jie Fan, Linfeng Xu.