Haokun Chen | DeepAI

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Featured Co-authors

Weinan Zhang
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∙ 08/21/2023

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

Recently, foundation models have exhibited remarkable advancements in mu...

0 Haokun Chen, et al. ∙

∙ 08/16/2023

FedPop: Federated Population-based Hyperparameter Tuning

Federated Learning (FL) is a distributed machine learning (ML) paradigm,...

0 Haokun Chen, et al. ∙

∙ 05/24/2023

Exploring Diverse In-Context Configurations for Image Captioning

After discovering that Language Models (LMs) can be good in-context few-...

0 Xu Yang, et al. ∙

∙ 11/19/2022

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

Visual Question Answering (VQA) is a multi-discipline research task. To ...

0 Yao Zhang, et al. ∙

∙ 05/30/2022

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

Federated Learning (FL) is a decentralized learning paradigm in which mu...

6 Haokun Chen, et al. ∙

∙ 04/01/2022

Proactively Control Privacy in Recommender Systems

Recently, privacy issues in web services that rely on users' personal da...

0 Ziqian Chen, et al. ∙

∙ 06/18/2020

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Interactive recommender system (IRS) has drawn huge attention because of...

0 Sijin Zhou, et al. ∙

∙ 02/12/2020

Towards Precise Intra-camera Supervised Person Re-identification

Intra-camera supervision (ICS) for person re-identification (Re-ID) assu...

0 Menglin Wang, et al. ∙

∙ 11/14/2018

Large-scale Interactive Recommendation with Tree-structured Policy Gradient

Reinforcement learning (RL) has recently been introduced to interactive ...

0 Haokun Chen, et al. ∙

∙ 10/29/2018

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

Recommendation is crucial in both academia and industry, and various tec...

0 Feng Liu, et al. ∙

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