Wenju Sun

According to our database, Wenju Sun authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration.

Wenju Sun, Qingyong Li, Wen Wang, Yang Liu, Yangli-ao Geng, Boyang Li

CoRR, May, 2025

CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging.

Wenju Sun, Qingyong Li, Yangli-ao Geng, Boyang Li

CoRR, May, 2025

Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts.

Wenju Sun, Qingyong Li, Wen Wang, Yangli-ao Geng, Boyang Li

CoRR, January, 2025

Decoupled likelihood modeling: A scalable approach for incremental generalized category discovery.

Siyu Zhang, Wenju Sun, Yangli-ao Geng, Qingyong Li, Wen Wang

Neurocomputing, 2025

2024

Discriminative Suprasphere Embedding for Fine-Grained Visual Categorization.

Shuo Ye, Qinmu Peng, Wenju Sun, Jiamiao Xu, Yu Wang, Xinge You, Yiu-Ming Cheung

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Disentangling clusters from non-Euclidean data via graph frequency reorganization.

Yangli-ao Geng, Chong-Yung Chi, Wenju Sun, Jing Zhang, Qingyong Li

Inf. Sci., 2024

Incremental Learning via Robust Parameter Posterior Fusion.

Wenju Sun, Qingyong Li, Siyu Zhang, Wen Wang, Yangli-ao Geng

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision.

Hao Wang, Zeyu Gao, Chao Zhang, Zihan Sha, Mingyang Sun, Yuchen Zhou, Wenyu Zhu, Wenju Sun, Han Qiu, Xi Xiao

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023

Class Incremental Learning based on Identically Distributed Parallel One-Class Classifiers.

Wenju Sun, Qingyong Li, Jing Zhang, Wen Wang, Yangli-ao Geng

Neurocomputing, November, 2023

Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers.

Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng

Pattern Recognit., August, 2023

Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging.

Wenju Sun, Qingyong Li, Wen Wang, Yangli-ao Geng

CoRR, 2023

Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning.

Wenju Sun, Qingyong Li, Jing Zhang, Wen Wang, Yangli-ao Geng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A zero-shot learning framework via cluster-prototype matching.

Jing Zhang, Qingyong Li, Yangli-ao Geng, Wen Wang, Wenju Sun, Chuan Shi, Zhengming Ding

Pattern Recognit., 2022

Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples.

Jing Zhang, Yangli-ao Geng, Wen Wang, Wenju Sun, Zhirong Yang, Qingyong Li

Knowl. Based Syst., 2022

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers.

Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng

CoRR, 2022

2021

ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers.

Wenju Sun, Jing Zhang, Danyu Wang, Yangli-ao Geng, Qingyong Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021