Yongjun Xu
24 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (9) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (7)
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Conference Polyglot
(10)
🏃
Academic Marathon
(5)
🌈
Renaissance Researcher
(7)
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Dynamic Duo
(16)
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(6)
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Century Club
(23)
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Prolific Year
(5)
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Keyword Collector
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The Questioner
Conferences
AAAI (10)
COLING (3)
CVPR (3)
ICML (2)
ACL (1)
ECCV (1)
EMNLP (1)
ICCV (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
knowledge distillation
(6)
model compression
(4)
diffusion model
(3)
semantic segmentation
(3)
contrastive learning
(3)
representation learning
(2)
link prediction
(2)
self-supervised learning
(2)
image classification
(2)
neural network
(2)
entity representation
(2)
feature extractor
(2)
large language model
(2)
multi-agent reinforcement learning
(2)
transfer learning
(1)
few-shot learning
(1)
multi-task learning
(1)
reinforcement learning
(1)
zero-shot learning
(1)
prototype learning
(1)
Papers
APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift
AAAI 2026
Multi-party Collaborative Attention Control for Image Customization
CVPR 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
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
ICCV 2025
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation
AAAI 2025
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
AAAI 2025
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
AAAI 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
Self-Improvement Programming for Temporal Knowledge Graph Question Answering
COLING 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
Continual Learning in the Frequency Domain
NIPS 2024
CLIP-KD: An Empirical Study of CLIP Model Distillation
CVPR 2024
An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation
EMNLP 2023
Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective
COLING 2022
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition
ECCV 2022
Mutual Contrastive Learning for Visual Representation Learning
AAAI 2022
Interpretable Generative Adversarial Networks
AAAI 2022
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning
AAAI 2022
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
CVPR 2022
Hierarchical Self-supervised Augmented Knowledge Distillation
IJCAI 2021
Gated Convolutional Networks with Hybrid Connectivity for Image Classification
AAAI 2020