Yongjun Xu
28 papers · 2020–2026 · 10 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 ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (62) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(20)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(137)
Venues
Top co-authors
Research topics
Deep Learning
(20)
Machine Learning
(17)
Learning Types Β· Deep Learning
(13)
Computer Vision
(11)
Application Areas
(10)
Learning Types Β· Machine Learning
(10)
Analysis
(9)
Artificial Intelligence
(6)
Core Methods
(5)
Models
(5)
Core AI
(4)
Reinforcement Learning
(3)
Architectures
(3)
Generation
(3)
Methods
(3)
Keywords
knowledge distillation
(6)
model compression
(4)
diffusion model
(3)
contrastive learning
(3)
class-incremental learning
(3)
semantic segmentation
(3)
representation learning
(3)
entity representation
(2)
image classification
(2)
large language model
(2)
catastrophic forgetting
(2)
link prediction
(2)
diffusion transformer
(2)
few-shot learning
(2)
continual learning
(2)
multi-agent reinforcement learning
(2)
video generation
(2)
self-supervised learning
(2)
feature extractor
(2)
neural network
(2)
Papers
APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift
AAAI 2026
EfficientVPR: Toward Efficient Visual Place Recognition via Scene-Aware Prompt Tuning and Adaptive Feature Enhancement
CVPR 2026
MultiAnimate: Pose-Guided Image Animation Made Extensible
CVPR 2026
Parameterized Prompt for Incremental Object Detection
CVPR 2026
Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models
CVPR 2026
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
ICCV 2025
Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning
ICML 2025
GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic
AAAI 2025
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation
AAAI 2025
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
AAAI 2025
Multi-party Collaborative Attention Control for Image Customization
CVPR 2025
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
AAAI 2025
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
ICML 2025
Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding
COLING 2025
CLIP-KD: An Empirical Study of CLIP Model Distillation
CVPR 2024
Continual Learning in the Frequency Domain
NeurIPS 2024
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation
AAAI 2024
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
ACL 2024
Self-Improvement Programming for Temporal Knowledge Graph Question Answering
COLING 2024
An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation
EMNLP 2023
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
CVPR 2022
Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective
COLING 2022
Interpretable Generative Adversarial Networks
AAAI 2022
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition
ECCV 2022
Mutual Contrastive Learning for Visual Representation Learning
AAAI 2022
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning
AAAI 2022
Hierarchical Self-supervised Augmented Knowledge Distillation
IJCAI 2021
Gated Convolutional Networks with Hybrid Connectivity for Image Classification
AAAI 2020