Haokun Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 34

Top Topics

Policy Gradient

Reinforcement Learning

Top Venues

ACM Trans. Inf. Syst.

Knowl. Based Syst.

Publications

Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. AAAI (2024)
Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng
Building Variable-Sized Models via Learngene Pool. AAAI (2024)
Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng
Transformer as Linear Expansion of Learngene. AAAI (2024)
Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. AAAI (2024)
Haokun Chen, Yong Wang
The L1-asymptotic behavior of strong solutions to the incompressible magneto-hydrodynamic equations in half-spaces. Appl. Math. Lett. 150 (2024)
Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR (2024)
Haokun Chen, Xu Yang, Yuhang Huang, Zihan Wu, Jing Wang, Xin Geng
Manipulating the Label Space for In-Context Classification. CoRR (2023)
Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng
Exploring Diverse In-Context Configurations for Image Captioning. CoRR (2023)
Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng
Building Variable-sized Models via Learngene Pool. CoRR (2023)
Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. CoRR (2023)
Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. CoRR (2023)
Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng
Exploring Diverse In-Context Configurations for Image Captioning. NeurIPS (2023)
Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. ACM Trans. Inf. Syst. 41 (3) (2023)
Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. ICCV (2023)
Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp
FedPop: Federated Population-based Hyperparameter Tuning. CoRR (2023)
Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu
Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng
Transformer as Linear Expansion of Learngene. CoRR (2023)
Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. CoRR (2022)
Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
Towards Data-Free Domain Generalization. ACML (2022)
Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding
Proactively Control Privacy in Recommender Systems. CoRR (2022)
Yao Zhang, Haokun Chen, Ahmed Frikha, Yezi Yang, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. CoRR (2022)
Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
Towards Data-Free Domain Generalization. CoRR (2021)
Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua
Towards Precise Intra-camera Supervised Person Re-Identification. WACV (2021)
Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR (2020)
Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua
Towards Precise Intra-camera Supervised Person Re-identification. CoRR (2020)
Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He
State representation modeling for deep reinforcement learning based recommendation. Knowl. Based Syst. 205 (2020)
Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR (2020)
Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen
Intent Preference Decoupling for User Representation on Online Recommender System. IJCAI (2020)
Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. AAAI (2019)
Haokun Chen, Xiaowang Zhang, Jiahui Zhang, Zhiyong Feng
A Hybrid Framework for Query Processing and Data Analytics on Spark. APWeb/WAIM Workshops (2018)
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling. CoRR (2018)
Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu
Neural Link Prediction over Aligned Networks. AAAI (2018)
Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu
Large-scale Interactive Recommendation with Tree-structured Policy Gradient. CoRR (2018)
Haokun Chen, Xiaowang Zhang, Zhiyong Feng
An Ontology-based Approach to Adaptive Data Processing. ISWC (P&D/Industry/BlueSky) (2018)