Haokun Chen

Orcid: 0000-0002-5485-2984

According to our database1, Haokun Chen authored at least 26 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The L1-asymptotic behavior of strong solutions to the incompressible magneto-hydrodynamic equations in half-spaces.
Appl. Math. Lett., April, 2024

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation.
CoRR, 2024

Transformer as Linear Expansion of Learngene.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Building Variable-Sized Models via Learngene Pool.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MASTER: Market-Guided Stock Transformer for Stock Price Forecasting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., April, 2023

Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation.
ACM Trans. Inf. Syst., 2023

Transformer as Linear Expansion of Learngene.
CoRR, 2023

Manipulating the Label Space for In-Context Classification.
CoRR, 2023

FedPop: Federated Population-based Hyperparameter Tuning.
CoRR, 2023

Exploring Diverse In-Context Configurations for Image Captioning.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.
CoRR, 2022

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.
CoRR, 2022

Proactively Control Privacy in Recommender Systems.
CoRR, 2022

Towards Data-Free Domain Generalization.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Towards Precise Intra-camera Supervised Person Re-Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
State representation modeling for deep reinforcement learning based recommendation.
Knowl. Based Syst., 2020

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning.
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling.
CoRR, 2018

An Ontology-based Approach to Adaptive Data Processing.
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.
Proceedings of the Web and Big Data, 2018

Neural Link Prediction over Aligned Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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