Search Results for author: Yizhou Zhang

Found 9 papers, 1 papers with code

Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving

no code implementations8 Feb 2024 Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu

Foundation models, such as Large language Models (LLMs), have attracted significant amount of interest due to their large number of applications.

Fake News Detection Hallucination +1

Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning

no code implementations30 Nov 2022 Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman

In particular, we show that, despite restricting each agent's attention to only its $\kappa$-hop neighborhood, the agents are able to learn a policy with an optimality gap that decays polynomially in $\kappa$.

Multi-agent Reinforcement Learning reinforcement-learning +1

Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media

no code implementations14 Oct 2022 Yizhou Zhang, Defu Cao, Yan Liu

To address these issues, in this paper, we build up a causal framework that model the causal effect of misinformation from the perspective of temporal point process.

counterfactual Misinformation

VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media

no code implementations NeurIPS 2021 Yizhou Zhang, Karishma Sharma, Yan Liu

Specifically, when modeling the observed data from social media with neural temporal point process, we jointly learn a Gibbs-like distribution of group assignment based on how consistent an assignment is to (1) the account embedding space and (2) the prior knowledge.

Misinformation Variational Inference

COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives

no code implementations15 Jun 2021 Karishma Sharma, Yizhou Zhang, Yan Liu

In this work, we investigate misinformation communities and narratives that can contribute to COVID-19 vaccine hesitancy.

Misinformation

Weakly Supervised Scene Graph Grounding

no code implementations1 Jan 2021 Yizhou Zhang, Zhaoheng Zheng, Yan Liu

Recent researches have achieved substantial advances in learning structured representations from images.

PolSIRD: Modeling Epidemic Spread under Intervention Policies

no code implementations3 Sep 2020 Nitin Kamra, Yizhou Zhang, Sirisha Rambhatla, Chuizheng Meng, Yan Liu

Epidemic spread in a population is traditionally modeled via compartmentalized models which represent the free evolution of disease in absence of any intervention policies.

counterfactual

DANE: Domain Adaptive Network Embedding

2 code implementations3 Jun 2019 Yizhou Zhang, Guojie Song, Lun Du, Shu-wen Yang, Yilun Jin

Recent works reveal that network embedding techniques enable many machine learning models to handle diverse downstream tasks on graph structured data.

Domain Adaptation Network Embedding

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