Search Results for author: Yingguang Yang

Found 3 papers, 2 papers with code

FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection

1 code implementation • 10 Mar 2023 • Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou

In particular, a global generator is used to extract the knowledge of global data distribution and distill it into each client's local model.

Contrastive Learning Knowledge Distillation

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RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search

1 code implementation • 14 Jun 2022 • Yingguang Yang, Renyu Yang, Yangyang Li, Kai Cui, Zhiqin Yang, Yue Wang, Jie Xu, Haiyong Xie

More specifically, we consider the social bot detection problem as a user-centric subgraph embedding and classification task.

Reinforcement Learning (RL) Self-Supervised Learning

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Reversible Upper Confidence Bound Algorithm to Generate Diverse Optimized Candidates

no code implementations • 30 Dec 2021 • Bin Chong, Yingguang Yang, Zi-Le Wang, Hang Xing, Zhirong Liu

Most algorithms for the multi-armed bandit problem in reinforcement learning aimed to maximize the expected reward, which are thus useful in searching the optimized candidate with the highest reward (function value) for diverse applications (e. g., AlphaGo).

Drug Discovery reinforcement-learning +1

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