Jun Hou
9 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 🧬 Topic Evolution
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(4)
Computer Vision
(3)
Deep Learning
(3)
Core AI
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Natural Language Processing
(2)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Applications
(1)
Keywords
attention mechanism
(2)
federated learning
(2)
metric learning
(1)
few-shot learning
(1)
domain generalization
(1)
transfer learning
(1)
mutual information
(1)
prior knowledge
(1)
knowledge distillation
(1)
kl divergence
(1)
multimodal learning
(1)
multi-label classification
(1)
distributed learning
(1)
semantic representation
(1)
procedural generation
(1)
prototype learning
(1)
semi-supervised learning
(1)
connectionist temporal classification
(1)
group activity recognition
(1)
model compression
(1)
Papers
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
EMNLP 2025
BTW: A Non-Parametric Variance Stabilization Framework for Multimodal Model Integration
EMNLP 2025
SceneX: Procedural Controllable Large-Scale Scene Generation
AAAI 2025
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
AAAI 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
CVPR 2024
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
ICLR 2023
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention
AAAI 2022
GroupFormer: Group Activity Recognition With Clustered Spatial-Temporal Transformer
ICCV 2021
GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition
AAAI 2020