Yu Lan
Orcid: 0000-0002-2143-4364Affiliations:
- Xi'an Jiaotong University, Faculty of Electronic and Information Engineering, China (PhD 2020)
- University of Texas at Austin, TX, USA (2017-2018)
According to our database1,
Yu Lan
authored at least 14 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
EvolGCN: A Co-Evolutionary Graph Convolutional Network Model for Dynamically Spatio-Temporal Anomaly Event Inference.
IEEE Trans. Dependable Secur. Comput., 2025
2024
Robust Approximate Dynamic Programming for Large-Scale Unit Commitment With Energy Storages.
IEEE Trans Autom. Sci. Eng., October, 2024
Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.
CoRR, 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Optimization for Few-shot Learning.
CoRR, 2023
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning.
CoRR, 2022
2021
A real-time explainable traffic collision inference framework based on probabilistic graph theory.
Knowl. Based Syst., 2021
2020
IEEE Trans Autom. Sci. Eng., 2020
A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning.
CoRR, 2020
2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018