Haokun Chen

According to our database, Haokun Chen authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The L1-asymptotic behavior of strong solutions to the incompressible magneto-hydrodynamic equations in half-spaces.

Haokun Chen, Yong Wang

Appl. Math. Lett., April, 2024

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.

Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp

CoRR, 2024

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation.

Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding

CoRR, 2024

Vision Transformers as Probabilistic Expansion from Learngene.

Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Transformer as Linear Expansion of Learngene.

Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Building Variable-Sized Models via Learngene Pool.

Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MASTER: Market-Guided Stock Transformer for Stock Price Forecasting.

Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.

Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning.

Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu

IEEE Trans. Knowl. Data Eng., April, 2023

Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation.

Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding

ACM Trans. Inf. Syst., 2023

Manipulating the Label Space for In-Context Classification.

Haokun Chen, Xu Yang, Yuhang Huang, Zihan Wu, Jing Wang, Xin Geng

CoRR, 2023

FedPop: Federated Population-based Hyperparameter Tuning.

Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp

CoRR, 2023

Exploring Diverse In-Context Configurations for Image Captioning.

Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.

Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.

Yao Zhang, Haokun Chen, Ahmed Frikha, Yezi Yang, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp

CoRR, 2022

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.

Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp

CoRR, 2022

Proactively Control Privacy in Recommender Systems.

Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding

CoRR, 2022

Towards Data-Free Domain Generalization.

Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Towards Precise Intra-camera Supervised Person Re-Identification.

Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

State representation modeling for deep reinforcement learning based recommendation.

Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He

Knowl. Based Syst., 2020

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

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling.

Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang

CoRR, 2018

An Ontology-based Approach to Adaptive Data Processing.

Haokun Chen, Xiaowang Zhang, Zhiyong Feng

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

A Hybrid Framework for Query Processing and Data Analytics on Spark.

Haokun Chen, Xiaowang Zhang, Jiahui Zhang, Zhiyong Feng

Proceedings of the Web and Big Data, 2018

Neural Link Prediction over Aligned Networks.

Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018