Zihuan Qiu<br/>(邱子欢)

Zihuan Qiu
(邱子欢)

📝 Selected Publications

NeurIPS 2025
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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, Qingbo Wu, Hongliang Li

  • TTCMM: Formalizes Test-Time Continual Model Merging.
  • MINGLE: Adaptive null-space gated low-rank experts, balancing stability and plasticity.
CVPR 2024
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Dual-consistency Model Inversion for Non-exemplar Class Incremental Learning
Zihuan Qiu, Yi Xu, Fanman Meng, Hongliang Li, Linfeng Xu, Qingbo Wu

  • DCMI: Semantic + domain consistency for high-fidelity synthetic replay.
  • Prototypical Routing: Reduces bias, boosts old-class accuracy.
Neurocomputing 2023
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ISM-Net: Mining incremental semantics for class incremental learning
Zihuan Qiu, Linfeng Xu, Zhichuan Wang, Qingbo Wu, Fanman Meng, Hongliang Li

  • ISM: Strips old-class semantics from new features to reduce confusion.
  • Lightweight Expansion + Old-Model Queue: Preserves early knowledge with minimal memory.

Preprints

Arxiv
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Null-Space Filtering for Data-Free Continual Model Merging: Preserving Transparency, Promoting Fidelity
Zihuan Qiu, Lei Wang, Yang Cao, Runtong Zhang, Bing Su, Yi Xu, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li

  • Challenge: Transparency and fidelity as fundamental desiderata in data-free model merging.
  • NUFILT: Combines null-space filtering with projection-aware adaptation.
Arxiv
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Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
Zihuan Qiu, Yi Xu, Fanman Meng, Runtong Zhang, Linfeng Xu, Qingbo Wu, Hongliang Li

  • LMC in CIL Oracles: Reveal favorable linear mode connectivity and identify mismatch between naive updates and oracle solutions.
  • IVT: Curvature-guided transformation using Fisher approximation, boosting accuracy and reducing forgetting across CIL settings.

Other Publications

  • TMM 2025 [DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models], Chiyuan He, Zihuan Qiu, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li.
  • ICIP 2025 [DPM-CLIP: Zero-Shot Multimodal Egocentric Activity Recognition based on Dual-Prediction Mechanism], Yukun Chen, Liang Wan, Zihuan Qiu, Mingzhou He, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li.
  • 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 [Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion], 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.