Lian Yan

According to our database, Lian Yan authored at least 26 papers between 1999 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling.

Yangfan Wang, Jie Liu, Chen Tang, Lian Yan, Jingchi Jiang

CoRR, August, 2025

AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models.

Lian Yan, Haotian Wang, Chen Tang, Haifeng Liu, Tianyang Sun, Liangliang Liu, Yi Guan, Jingchi Jiang

CoRR, July, 2025

Knowledge assimilation: Implementing knowledge-guided agricultural large language model.

Jingchi Jiang, Lian Yan, Haifeng Liu, Zhenbo Xia, Haotian Wang, Yang Yang, Yi Guan

Knowl. Based Syst., 2025

Learning to break: Knowledge-enhanced reasoning in multi-agent debate system.

Haotian Wang, Xiyuan Du, Weijiang Yu, Qianglong Chen, Kun Zhu, Zheng Chu, Lian Yan, Yi Guan

Neurocomputing, 2025

Multi-modal multi-agent debate-based dialectical knowledge transfer learning.

Haotian Wang, Weijiang Yu, Xiyuan Du, Qianglong Chen, Zheng Chu, Lian Yan, Jingchi Jiang, Yi Guan

Appl. Soft Comput., 2025

RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations.

Lian Yan, Chen Tang, Yi Guan, Haotian Wang, Songyuan Wang, Haifeng Liu, Yang Yang, Jingchi Jiang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Agri-CM³: A Chinese Massive Multi-modal, Multi-level Benchmark for Agricultural Understanding and Reasoning.

Haotian Wang, Yi Guan, Fanshu Meng, Chao Zhao, Lian Yan, Yang Yang, Jingchi Jiang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

EIRAD: An Evidence-Based Dialogue System With Highly Interpretable Reasoning Path for Automatic Diagnosis.

Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Yang Yang, Boran Wang, Jingchi Jiang

IEEE J. Biomed. Health Informatics, October, 2024

ProSpec RL: Plan Ahead, then Execute.

Liangliang Liu, Yi Guan, Boran Wang, Rujia Shen, Yi Lin, Chaoran Kong, Lian Yan, Jingchi Jiang

CoRR, 2024

2023

ARLPE: A meta reinforcement learning framework for glucose regulation in type 1 diabetics.

Xuehui Yu, Yi Guan, Lian Yan, Shulang Li, Xuelian Fu, Jingchi Jiang

Expert Syst. Appl., October, 2023

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

Haotian Wang, Xiyuan Du, Weijiang Yu, Qianglong Chen, Kun Zhu, Zheng Chu, Lian Yan, Yi Guan

CoRR, 2023

Efficient Evidence-Based Dialogue System for Medical Diagnosis.

Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Jingchi Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Contextual Policy Transfer in Meta-Reinforcement Learning via Active Learning.

Jingchi Jiang, Lian Yan, Xuehui Yu, Yi Guan

Proceedings of the Web Information Systems and Applications, 2022

2020

A Decode-and-Forward Relay-Aided Proactive Eavesdropping Scheme for Wireless Surveillance.

Haowei Wu, Lian Yan, Rui Ma, Jinglan Ou, Jingyue Cui

Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

2006

Beyond classification and ranking: constrained optimization of the ROI.

Lian Yan, Patrick Baldasare

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.

Lian Yan, Michael Fassino, Patrick Baldasare

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Predicting customer behavior via calling links.

Lian Yan, Michael Fassino, Patrick Baldasare

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

2004

Predicting Customer Behavior in Telecommunications.

Lian Yan, Richard H. Wolniewicz, Robert H. Dodier

IEEE Intell. Syst., 2004

Predicting prostate cancer recurrence via maximizing the concordance index.

Lian Yan, David Verbel, Olivier Saidi

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.

Lian Yan, Robert H. Dodier, Michael Mozer, Richard H. Wolniewicz

Proceedings of the Machine Learning, 2003

2000

General statistical inference for discrete and mixed spaces by an approximate application of the maximum entropy principle.

Lian Yan, David J. Miller

IEEE Trans. Neural Networks Learn. Syst., 2000

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

David J. Miller, Lian Yan

Neural Comput., 2000

1999

Critic-driven ensemble classification.

David J. Miller, Lian Yan

IEEE Trans. Signal Process., 1999

Approximate maximum entropy joint feature inference for discrete space classification.

David J. Miller, Lian Yan

Proceedings of the International Joint Conference Neural Networks, 1999

Time series prediction via neural network inversion.

Lian Yan, David J. Miller

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Ensemble classification by critic-driven combining.

David J. Miller, Lian Yan

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999