Haokun Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
11
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models. | Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp |
| 2025 | AAAI | FedPop: Federated Population-based Hyperparameter Tuning. | Haokun Chen, Denis Krompa, Jindong Gu, Volker Tresp |
| 2025 | ACL | LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering. | Jinhe Bi, Yujun Wang, Haokun Chen, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models. | Haokun Chen, Sebastian Szyller, Weilin Xu, Nageen Himayat |
| 2025 | EMNLP | SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence. | Yao Zhang, Chenyang Lin, Shijie Tang, Haokun Chen, Shijie Zhou, Yunpu Ma, Volker Tresp |
| 2025 | WACV | 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 |
| 2024 | AAAI | FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. | Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp |
| 2024 | AAAI | MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. | Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang |
| 2024 | AAAI | Building Variable-Sized Models via Learngene Pool. | Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng |
| 2024 | AAAI | Transformer as Linear Expansion of Learngene. | Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng |
| 2024 | ICML | Vision Transformers as Probabilistic Expansion from Learngene. | Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng |
| 2023 | ICCV | FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. | Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp |
| 2022 | ACML | Towards Data-Free Domain Generalization. | Ahmed Frikha, Haokun Chen, Denis Krompa, Thomas A. Runkler, Volker Tresp |
| 2021 | WACV | Towards Precise Intra-camera Supervised Person Re-Identification. | Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua |
| 2020 | IJCAI | Intent Preference Decoupling for User Representation on Online Recommender System. | Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen |
| 2020 | SIGIR | Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. | Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2019 | AAAI | 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 |
| 2018 | AAAI | Neural Link Prediction over Aligned Networks. | Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu |
| 2018 | APWEB | A Hybrid Framework for Query Processing and Data Analytics on Spark. | Haokun Chen, Xiaowang Zhang, Jiahui Zhang, Zhiyong Feng |