Yujie Luo

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

Bibliography

2025
Executable Knowledge Graphs for Replicating AI Research.
CoRR, October, 2025

Interactive Recommendation Agent with Active User Commands.
CoRR, September, 2025

RecGPT Technical Report.
CoRR, July, 2025

Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study.
CoRR, June, 2025

AutoMind: Adaptive Knowledgeable Agent for Automated Data Science.
CoRR, June, 2025

LookAhead Tuning: Safer Language Models via Partial Answer Previews.
CoRR, March, 2025

LightThinker: Thinking Step-by-Step Compression.
CoRR, February, 2025

Secure Combination of Untrusted Time Information Based on Optimized Dempster-Shafer Theory.
IEEE Trans. Instrum. Meas., 2025

UPVnet: A Neural Network for First-Arrival Picking in Ultrasonic Pulse Velocity Testing on Rock Samples.
IEEE Trans. Geosci. Remote. Sens., 2025

Enhancing Transformer-based models for long sequence time series forecasting via structured matrix.
Neurocomputing, 2025

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Research on Requirement Vulnerability Detection Method Based on Graph Neural Network and Counterfactual Explanation.
Proceedings of the 33rd IEEE International Requirements Engineering Conference, 2025

Integrated high-performance LDPC decoder for Continuous-Variable Quantum Key Distribution System.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

GeMIMO: Searching the Cores of X-formers for Time Series Forecasting.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Ultrasound contrast-enhanced radiomics model for preoperative prediction of the tumor grade of clear cell renal cell carcinoma: an exploratory study.
BMC Medical Imaging, December, 2024

Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes.
CoRR, 2024

Secure Combination of Untrusted Time information Based on Optimized Dempster-Shafer Theory.
CoRR, 2024

Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly.
CoRR, 2024

AUTOACT: Automatic Agent Learning from Scratch via Self-Planning.
CoRR, 2024

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

A heterogeneous graph-based approach for cyber threat attribution using threat intelligence.
Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Practical continuous-variable quantum key distribution with feasible optimization parameters.
Sci. China Inf. Sci., August, 2023

A Hierarchical Attention-Based Method for Sleep Staging Using Movement and Cardiopulmonary Signals.
IEEE J. Biomed. Health Informatics, March, 2023

Secure Two-Way Fiber-Optic Time Transfer Against Sub-ns Asymmetric Delay Attack With Clock Model-Based Detection and Mitigation Scheme.
IEEE Trans. Instrum. Meas., 2023

Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
Deep drug-target binding affinity prediction with multiple attention blocks.
Briefings Bioinform., 2021


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