Haokun Chen
18 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π Cross-Pollinator (15)
πΊοΈ
Taxonomy Completionist
(52)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Pioneer
ποΈ
Keyword Collector
(93)
π₯
Unstoppable
(7)
π
Century Club
(17)
β‘
Prolific Year
(5)
Conferences
AAAI (7)
EMNLP (2)
WACV (2)
ACL (1)
ACML (1)
CVPR (1)
ICCV (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(4)
knowledge distillation
(4)
model compression
(3)
recommender system
(2)
machine unlearning
(2)
data heterogeneity
(2)
vision-language model
(2)
reinforcement learning
(1)
domain generalization
(1)
image classification
(1)
online learning
(1)
transfer learning
(1)
domain adaptation
(1)
policy gradient
(1)
few-shot learning
(1)
representation learning
(1)
in-context learning
(1)
metric learning
(1)
image captioning
(1)
visual question answering
(1)
Papers
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
AAAI 2026
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
SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence
EMNLP 2025
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models
EMNLP 2025
CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
WACV 2025
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
Vision Transformers as Probabilistic Expansion from Learngene
ICML 2024
Transformer as Linear Expansion of Learngene
AAAI 2024
Building Variable-Sized Models via Learngene Pool
AAAI 2024
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
ICCV 2023
Exploring Diverse In-Context Configurations for Image Captioning
NIPS 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