Ruize Gao

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
A Unified Perspective on Adversarial Membership Manipulation in Vision Models.
CoRR, April, 2026

HATS: Hardness-Aware Trajectory Synthesis for GUI Agents.
CoRR, March, 2026

Integrating managerial and investor textual data for financial distress prediction: A framework combining multi-source financial information fusion network with LLM.
Inf. Process. Manag., 2026

2025
Dynamic stacking ensemble learning with investor knowledge representations for stock market index prediction based on multi-source financial data.
CoRR, December, 2025

Topic-aware influence maximization with deep reinforcement learning and graph attention networks.
Data Min. Knowl. Discov., November, 2025

Textual semantics and machine learning methods for data product pricing.
CoRR, November, 2025

Design of a High-Gain Duplex Antenna With Multibeam Radiation Based on a Fabry-Pérot Cavity.
IEEE Trans. Veh. Technol., June, 2025

MinMo: A Multimodal Large Language Model for Seamless Voice Interaction.
CoRR, January, 2025

Space Charge Measurement Validation and Evaluation of a Novel Ellipsometry Detection Method Based on Nanosecond Pulse Laser Excitation.
IEEE Trans. Instrum. Meas., 2025

An interpretable imbalance ensemble classification method for readmission risk assessment incorporating multi-view perturbation and SHAP analysis.
Decis. Support Syst., 2025

A Transformer-based Method for Knowledge Tracing and Exercise Recommendation.
Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence, 2025

Enhancing Machine Translation with Self-Supervised Preference Data.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Using data-driven methods to detect financial statement fraud in the real scenario.
Int. J. Account. Inf. Syst., 2024

Qwen2 Technical Report.
CoRR, 2024

Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation.
Proceedings of the ACM on Web Conference 2024, 2024

Final Submission of SJTULoveFiction to Literary Task.
Proceedings of the Ninth Conference on Machine Translation, 2024

SJTU System Description for the WMT24 Low-Resource Languages of Spain Task.
Proceedings of the Ninth Conference on Machine Translation, 2024

2023
IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern., 2022

<i>K</i>-nearest neighbors rule combining prototype selection and local feature weighting for classification.
Knowl. Based Syst., 2022

Integrating the sentiments of multiple news providers for stock market index movement prediction: A deep learning approach based on evidential reasoning rule.
Inf. Sci., 2022

Forecasting the overnight return direction of stock market index combining global market indices: A multiple-branch deep learning approach.
Expert Syst. Appl., 2022

Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack.
Proceedings of the International Conference on Machine Learning, 2022

2021
Local Reweighting for Adversarial Training.
CoRR, 2021

Maximum Mean Discrepancy Test is Aware of Adversarial Attacks.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Maximum Mean Discrepancy is Aware of Adversarial Attacks.
CoRR, 2020

2016
Optimization in e-commerce market network based on value order parameter.
Inf. Technol. Manag., 2016


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