Mengzhuo Guo

Orcid: 0000-0003-3559-733X

According to our database1, Mengzhuo Guo authored at least 18 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
AgentLTV: An Agent-Based Unified Search-and-Evolution Framework for Automated Lifetime Value Prediction.
CoRR, February, 2026

ExFusion: An Explainable Multi-scale Feature Fusion framework for medical image processing.
Inf. Process. Manag., 2026

Learning user preferences in livestreaming market: A graphical model considering temporal effect.
Decis. Support Syst., 2026

2025
An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation.
ACM Trans. Knowl. Discov. Data, April, 2025

Enhancing decision support for type 2 diabetes mellitus comorbidity risk prediction: An end-to-end multi-task learning model.
Expert Syst. Appl., 2025

Data-driven preference learning methods for sorting problems with multiple temporal criteria.
Eur. J. Oper. Res., 2025

HIT Model: A Hierarchical Interaction-Enhanced Two-Tower Model for Pre-Ranking Systems.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Improving Zero-Shot Stance Detection by Infusing Knowledge from Large Language Models.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

ADViRDS: Assessment of Domestic Violence Risk Dataset and Scale on Social Media.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

A Bayesian Multi-Armed Bandit Algorithm for Bid Shading in Online Display Advertising.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Data-driven Preference Learning Methods for Multiple Criteria Sorting with Temporal Criteria.
CoRR, 2023

2022
Deciphering Feature Effects on Decision-Making in Ordinal Regression Problems: An Explainable Ordinal Factorization Model.
ACM Trans. Knowl. Discov. Data, 2022

An Actor-critic Reinforcement Learning Model for Optimal Bidding in Online Display Advertising.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020
An interpretable neural network model through piecewise linear approximation.
CoRR, 2020

2019
A progressive sorting approach for multiple criteria decision aiding in the presence of non-monotonic preferences.
Expert Syst. Appl., 2019

Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation.
CoRR, 2019

An interpretable machine learning framework for modelling human decision behavior.
CoRR, 2019

2015
Summarizing Product Aspects from Massive Online Review with Word Representation.
Proceedings of the Knowledge Science, Engineering and Management, 2015


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