Yujie Luo

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

Bibliography

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

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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