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2020 – today
- 2024
[j4]Haokun Chen, Yong Wang:
The L1-asymptotic behavior of strong solutions to the incompressible magneto-hydrodynamic equations in half-spaces. Appl. Math. Lett. 150: 108966 (2024)- [c15]Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang:
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. AAAI 2024: 162-170 - [c14]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: 11285-11293 - [c13]Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng:
Building Variable-Sized Models via Learngene Pool. AAAI 2024: 14946-14954 - [c12]Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng:
Transformer as Linear Expansion of Learngene. AAAI 2024: 16014-16022 - [c11]Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng:
Vision Transformers as Probabilistic Expansion from Learngene. ICML 2024 - [i17]Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding:
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR abs/2402.06656 (2024) - [i16]Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp:
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. CoRR abs/2410.04810 (2024) - 2023
- [j3]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): 4018-4032 (2023) - [j2]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): 60:1-60:26 (2023) - [c10]Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp:
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. ICCV 2023: 4826-4836 - [c9]Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng:
Exploring Diverse In-Context Configurations for Image Captioning. NeurIPS 2023 - [i15]Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng:
Exploring Diverse In-Context Configurations for Image Captioning. CoRR abs/2305.14800 (2023) - [i14]Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp:
FedPop: Federated Population-based Hyperparameter Tuning. CoRR abs/2308.08634 (2023) - [i13]Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp:
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. CoRR abs/2308.12305 (2023) - [i12]Haokun Chen, Xu Yang, Yuhang Huang, Zihan Wu, Jing Wang, Xin Geng:
Manipulating the Label Space for In-Context Classification. CoRR abs/2312.00351 (2023) - [i11]Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng:
Transformer as Linear Expansion of Learngene. CoRR abs/2312.05614 (2023) - [i10]Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng:
Building Variable-sized Models via Learngene Pool. CoRR abs/2312.05743 (2023) - [i9]Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang:
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. CoRR abs/2312.15235 (2023) - 2022
- [c8]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. ACML 2022: 327-342 - [i8]Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding:
Proactively Control Privacy in Recommender Systems. CoRR abs/2204.00279 (2022) - [i7]Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp:
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. CoRR abs/2205.14900 (2022) - [i6]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 abs/2211.10567 (2022) - 2021
- [c7]Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua:
Towards Precise Intra-camera Supervised Person Re-Identification. WACV 2021: 3228-3237 - [i5]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. CoRR abs/2110.04545 (2021) - 2020
- [j1]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: 106170 (2020) - [c6]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: 2575-2582 - [c5]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: 179-188 - [i4]Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua:
Towards Precise Intra-camera Supervised Person Re-identification. CoRR abs/2002.04932 (2020) - [i3]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 abs/2006.10389 (2020)
2010 – 2019
- 2019
- [c4]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: 3312-3320 - 2018
- [c3]Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu:
Neural Link Prediction over Aligned Networks. AAAI 2018: 249-256 - [c2]Haokun Chen, Xiaowang Zhang, Jiahui Zhang, Zhiyong Feng:
A Hybrid Framework for Query Processing and Data Analytics on Spark. APWeb/WAIM Workshops 2018: 159-173 - [c1]Haokun Chen, Xiaowang Zhang, Zhiyong Feng:
An Ontology-based Approach to Adaptive Data Processing. ISWC (P&D/Industry/BlueSky) 2018 - [i2]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 abs/1810.12027 (2018) - [i1]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 abs/1811.05869 (2018)
Coauthor Index
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