activity
20182025
most citedKnowledge Distillation: A Survey

3.8k citations · 3.8k across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

DatasetAgent: A Novel Multi-Agent System for Auto-Constructing Datasets from Real-World Images

Haoran Sun, Haoyu Bian, Shaoning Zeng +4

Common knowledge indicates that the process of constructing image datasets usually depends on the time-intensive and inefficient method of manual collection and annotation. Large m…

cs.LG2024★ 5 cited

Federated Distillation: A Survey

Lin Li, Jianping Gou, Baosheng Yu +2

Federated Learning (FL) seeks to train a model collaboratively without sharing private training data from individual clients. Despite its promise, FL encounters challenges such as…

cs.LG2022

Deep Dictionary Learning with An Intra-class Constraint

Xia Yuan, Jianping Gou, Baosheng Yu +2

In recent years, deep dictionary learning (DDL)has attracted a great amount of attention due to its effectiveness for representation learning and visual recognition.~However, most…

cs.LG2021★ 7 cited

Collaborative Teacher-Student Learning via Multiple Knowledge Transfer

Liyuan Sun, Jianping Gou, Baosheng Yu +2

Knowledge distillation (KD), as an efficient and effective model compression technique, has been receiving considerable attention in deep learning. The key to its success is to tra…

cs.LG2020★ 3.8k cited

Knowledge Distillation: A Survey

Jianping Gou, Baosheng Yu, Stephen John Maybank +1

In recent years, deep neural networks have been successful in both industry and academia, especially for computer vision tasks. The great success of deep learning is mainly due to…

cs.CV2018★ 10 cited

Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification

Shaoning Zeng, Bob Zhang, Yanghao Zhang +1

Deep convolutional neural networks provide a powerful feature learning capability for image classification. The deep image features can be utilized to deal with many image understa…