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Jiaqi Zheng

7 accepted papers

2025

Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data

NeurIPS 2025poster

Online Internet platforms require sophisticated marketing strategies to optimize user retention and platform revenue — a classical resource allocation problem. Traditional solutions adopt a two-stage pipeline: machine learning (ML) for predicting individual treatment effects to marketing actions, fo…

Cited by 0SourceScholar
2025

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation

AAAI 2025technical

The emergence of long-context text applications utilizing large language models (LLMs) has presented significant scalability challenges, particularly in memory footprint. The linear growth of the Key-Value (KV) cache, which stores attention keys and values to reduce redundant computations, can signi…

Cited by 1SourcePDFScholar
2025

Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction

IJCAI 2025

Although deep learning models have demonstrated remarkable potential in weather prediction, most of them overlook either the physics of the underlying weather evolution or the topology of the Earth’s surface. In light of these disadvantages, we develop PASSAT, a novel Physics-ASSisted And Topology-i

2023

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing

AAAI 2023technical

Marketing is an important mechanism to increase user engagement and improve platform revenue, and heterogeneous causal learning can help develop more effective strategies. Most decision-making problems in marketing can be formulated as resource allocation problems and have been studied for decades.…

2022

DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media

AAAI 2022technical

Detecting rumors on social media has become particular important due to the rapid dissemination and adverse impacts on our lives. Though a set of rumor detection models have exploited the message propagation structural or temporal information, they seldom model them altogether to enjoy the best of b…

Cited by 104SourcePDFScholar
2022

MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection

IJCAI 2022poster

Rumor spreaders are increasingly taking advantage of multimedia content to attract and mislead news consumers on social media. Although recent multimedia rumor detection models have exploited both textual and visual features for classification, they do not integrate the social structure features sim…

Cited by 76SourcePDFScholar