Haokun Chen
18 papers · 2019–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Trend Setter
ποΈ
Keyword Collector
(97)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(17)
Application Areas
(13)
Artificial Intelligence
(11)
Learning Types Β· Machine Learning
(9)
Core AI
(8)
Deep Learning
(7)
Learning Paradigms Β· Artificial Intelligence
(5)
Learning Types Β· Deep Learning
(5)
Computer Vision
(4)
Architectures
(3)
Core Methods
(3)
Learning Paradigms Β· Machine Learning
(3)
Optimization & Theory
(3)
Analysis
(2)
Data Science & Analytics
(1)
Keywords
knowledge distillation
(4)
federated learning
(4)
model compression
(3)
parameter-efficient fine-tuning
(2)
multimodal large language model
(2)
machine unlearning
(2)
data heterogeneity
(2)
vision-language model
(2)
recommender system
(2)
reinforcement learning
(1)
domain generalization
(1)
online learning
(1)
transfer learning
(1)
domain adaptation
(1)
image classification
(1)
few-shot learning
(1)
in-context learning
(1)
vision transformer
(1)
representation learning
(1)
visual question answering
(1)
Papers
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
AAAI 2026
CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
WACV 2025
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
CVPR 2025
FedPop: Federated Population-based Hyperparameter Tuning
AAAI 2025
LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering
ACL 2025
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models
EMNLP 2025
SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence
EMNLP 2025
Building Variable-Sized Models via Learngene Pool
AAAI 2024
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
AAAI 2024
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting
AAAI 2024
Transformer as Linear Expansion of Learngene
AAAI 2024
Vision Transformers as Probabilistic Expansion from Learngene
ICML 2024
Exploring Diverse In-Context Configurations for Image Captioning
NeurIPS 2023
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
ICCV 2023
Towards Data-Free Domain Generalization
ACML 2022
Towards Precise Intra-Camera Supervised Person Re-Identification
WACV 2021
Intent Preference Decoupling for User Representation on Online Recommender System
IJCAI 2020
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
AAAI 2019