Jiangpeng He
9 papers · 2020–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
Top co-authors
Research topics
Machine Learning
(8)
Learning Types · Machine Learning
(7)
Deep Learning
(6)
Learning Types · Deep Learning
(4)
Computer Vision
(3)
Application Areas
(3)
Artificial Intelligence
(2)
Analysis
(2)
Core Methods
(2)
Learning Paradigms
(2)
Generation
(1)
Models
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
knowledge distillation
(4)
continual learning
(4)
class-incremental learning
(4)
catastrophic forgetting
(4)
image classification
(2)
online learning
(2)
incremental learning
(1)
image compression
(1)
distribution matching
(1)
gradient descent
(1)
diffusion model
(1)
pre-trained model
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
imbalanced learning
(1)
imbalanced data
(1)
cross-domain generalization
(1)
experience replay
(1)
exemplar-free learning
(1)
semantic understanding
(1)
Papers
Continual Distillation of Teachers from Different Domains
CVPR 2026
Food Image Generation on Multi-Noun Categories
WACV 2026
PANDA – Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning
AAAI 2026
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
CVPR 2025
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
CVPR 2024
Online Class-Incremental Learning for Real-World Food Image Classification
WACV 2024
Towards Backward-Compatible Continual Learning of Image Compression
CVPR 2024
Online Continual Learning via Candidates Voting
WACV 2022
Incremental Learning in Online Scenario
CVPR 2020