Chen, Haokun

16 publications

WACV 2025 CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp

CVPR 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp

AAAI 2025 FedPop: Federated Population-Based Hyperparameter Tuning Haokun Chen, Denis Krompaß, Jindong Gu, Volker Tresp

AAAI 2024 Building Variable-Sized Models via Learngene Pool Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng

AAAI 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp

AAAI 2024 MASTER: Market-Guided Stock Transformer for Stock Price Forecasting Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang

AAAI 2024 Transformer as Linear Expansion of Learngene Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng

ICML 2024 Vision Transformers as Probabilistic Expansion from Learngene Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng

NeurIPS 2023 Exploring Diverse In-Context Configurations for Image Captioning Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng

ICCV 2023 FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp

ACML 2022 Towards Data-Free Domain Generalization Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas Runkler, Volker Tresp

NeurIPSW 2021 Towards Data-Free Domain Generalization Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas Runkler, Volker Tresp

WACV 2021 Towards Precise Intra-Camera Supervised Person Re-Identification Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua

IJCAI 2020 Intent Preference Decoupling for User Representation on Online Recommender System Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen

AAAI 2019 Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu

AAAI 2018 Neural Link Prediction over Aligned Networks Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu