Zhiping Wu
Services
Awards
Frameworks
Publications
Preprints
About Me
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Zhiping Wu

PhD
Reasoning & Learning Group
School of Electronic Science and Engineering
State Key Laboratory for Novel Software Technology
Department of Computer Science and Technology
Nanjing University, Nanjing 210023, China
Email: zhipingwu@smail.nju.edu.cn

Supervisor
PhD: Professor Yang Gao
PhD: Professor Hongbing Pan
PhD: Professor Wenbing Li

Current Research Topics
  • Machine Learning
  • Computer Vision
  • Model Compression
  • Compute-in-memory

About Me

I am currently a PhD student in the School of Electronic Science and Engineering at Nanjing University, supervised by Yang Gao, Hongbing Pan, and Wenbing Li. I am a member of the Reasoning and Learning Research Group, led by Professor Yang Gao. Previously, I interned for a year at the National Institute of Healthcare Data Science at Nanjing University before working as a Research Assistant in the Department of Computer Science and Technology at the same university. I received my master's degree from Minnan Normal University in 2023, supervised by Hong Zhao.

News

[2025-06] One paper is accepted by IEEE International Conference on Computer Vision (ICCV) 2025.
[2025-04] One paper is accepted by Information Sciences (INS) 2025.
[2024-05] A comprehensive library for continual learning: LibContinual is released.
[2024-03] We will organize "Workshop: Continual Learning meets Multimodal Foundation Models".
[2023-12] One paper is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2024.
[2023-10] We will organize "Continual Learning: Fundamentals and Advances".
[2023-04] One paper is accepted by Information Sciences (INS) 2023.

Preprints

AMPL: An Adaptive Meta-Prompt Learner for Few-shot Image Classification.
Zhiping Wu, Lian Huai, Tong Liu, Zeyu Shangguan, Lei Wang, Jing Huo, Wenbin Li*, Yang Gao, Xingqun Jiang.
SSRN [Paper] [Code]
Unsupervised Few-shot Learning via Object-enhanced Augmentation and Attribute-correlation Uniformity.
Zhiping Wu, Lian Huai, Tong Liu, Zeyu Shangguan, Wenbin Li*, Yang Gao, Xingqun Jiang.
SSRN [Paper] [Code]

Publications

(# indicates equal contribution, * indicates corresponding authorship)

Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning.
Borui Kang, Lei Wang, Zhiping Wu, Tao Feng, Yawen Li, Yang Gao, Wenbin Li*.
IEEE International Conference on Computer Vision (ICCV) 2025. (AC Rate = 24.0%) [Paper] [Code]
Multi-Granularity Awareness via Cross Fusion for Few-Shot Learning.
Zhiping Wu, Dongqing Li, Linhua Zou, Hong Zhao*.
Information Sciences (INS) 2025. [Paper] [Code]
CSTS: Exploring Class-specific and Task-shared Embedding Representation for Few-shot Learning.
Hong Zhao*, Yuling Su, Zhiping Wu, Weiping Ding.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2024. [Paper] [Code]
Hierarchical Few-Shot Learning with Feature Fusion Driven by Data and Knowledge.
Zhiping Wu, Hong Zhao*.
Information Sciences (INS) 2023. [Paper] [Code]
Hierarchical Few-Shot Learning Based on Coarse- and Fine-Grained Relation Network.
Zhiping Wu, Hong Zhao*.
Artificial intelligence Review (AIRE) 2023. [Paper] [Code]
Knowledge transfer based hierarchical few-shot learning via tree-structured knowledge graph.
Zhong Zhang, Zhiping Wu, Hong Zhao*, Minjie Hu.
International Journal of Machine Learning and Cybernetics (IJMLC) 2023. [Paper] [Code]

Frameworks

  • LibContinual is a comprehensive library for continual learning, especially for continual image classification. It integrates multiple classic continual methods into a unified framework. This library is friendly for beginners in continual learning with very concise code and clear structure.

Awards

  • 2024 福建省优秀硕士论文
  • 2022 研究生国家奖学金
  • 2021 研究生数学建模竞赛国三

Services

  • Reviewer for CVPR 2023, 2024
  • Reviewer for ICCV 2023, 2025
  • Reviewer for ECCV 2022, 2024

Correspondence

Email: zhipingwu@smail.nju.edu.cn

Address: Zhiping Wu, National Key Laboratory for Novel Software Technology, Nanjing University, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China.