Lian Yan

Orcid: 0009-0008-1695-2467

According to our database1, Lian Yan authored at least 18 papers between 1999 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
EIRAD: An Evidence-Based Dialogue System With Highly Interpretable Reasoning Path for Automatic Diagnosis.
IEEE J. Biomed. Health Informatics, October, 2024

ProSpec RL: Plan Ahead, then Execute.
CoRR, 2024

2023
ARLPE: A meta reinforcement learning framework for glucose regulation in type 1 diabetics.
Expert Syst. Appl., October, 2023

Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates.
CoRR, 2023

Efficient Evidence-Based Dialogue System for Medical Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Contextual Policy Transfer in Meta-Reinforcement Learning via Active Learning.
Proceedings of the Web Information Systems and Applications, 2022

2020
A Decode-and-Forward Relay-Aided Proactive Eavesdropping Scheme for Wireless Surveillance.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

2006
Beyond classification and ranking: constrained optimization of the ROI.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
Enhancing the lift under budget constraints: an application in the mutual fund industry.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

2004
Predicting Customer Behavior in Telecommunications.
IEEE Intell. Syst., 2004

Predicting prostate cancer recurrence via maximizing the concordance index.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic.
Proceedings of the Machine Learning, 2003

2000
General statistical inference for discrete and mixed spaces by an approximate application of the maximum entropy principle.
IEEE Trans. Neural Networks Learn. Syst., 2000

Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification.
Neural Comput., 2000

1999
Critic-driven ensemble classification.
IEEE Trans. Signal Process., 1999

Approximate maximum entropy joint feature inference for discrete space classification.
Proceedings of the International Joint Conference Neural Networks, 1999

Time series prediction via neural network inversion.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Ensemble classification by critic-driven combining.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999


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