Lian Yan

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 6

Top Topics

Reinforcement Learning

Selective Sampling

Partially Observable Domains

Top Venues

Expert Syst. Appl.

Publications

Liangliang Liu, Yi Guan, Boran Wang, Rujia Shen, Yi Lin, Chaoran Kong, Lian Yan, Jingchi Jiang
ProSpec RL: Plan Ahead, then Execute. CoRR (2024)
Xuehui Yu, Yi Guan, Lian Yan, Shulang Li, Xuelian Fu, Jingchi Jiang
ARLPE: A meta reinforcement learning framework for glucose regulation in type 1 diabetics. Expert Syst. Appl. 228 (2023)
Haotian Wang, Xiyuan Du, Weijiang Yu, Qianglong Chen, Kun Zhu, Zheng Chu, Lian Yan, Yi Guan
Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates. CoRR (2023)
Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Jingchi Jiang
Efficient Evidence-Based Dialogue System for Medical Diagnosis. BIBM (2023)
Jingchi Jiang, Lian Yan, Xuehui Yu, Yi Guan
Contextual Policy Transfer in Meta-Reinforcement Learning via Active Learning. WISA (2022)
Haowei Wu, Lian Yan, Rui Ma, Jinglan Ou, Jingyue Cui
A Decode-and-Forward Relay-Aided Proactive Eavesdropping Scheme for Wireless Surveillance. ICCC (2020)
Lian Yan, Patrick Baldasare
Beyond classification and ranking: constrained optimization of the ROI. KDD (2006)
Lian Yan, Michael Fassino, Patrick Baldasare
Enhancing the lift under budget constraints: an application in the mutual fund industry. KDD (2005)
Lian Yan, Richard H. Wolniewicz, Robert H. Dodier
Predicting Customer Behavior in Telecommunications. IEEE Intell. Syst. 19 (2) (2004)
Lian Yan, David Verbel, Olivier Saidi
Predicting prostate cancer recurrence via maximizing the concordance index. KDD (2004)
Lian Yan, Robert H. Dodier, Michael Mozer, Richard H. Wolniewicz
Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic. ICML (2003)
Lian Yan, David J. Miller
General statistical inference for discrete and mixed spaces by an approximate application of the maximum entropy principle. IEEE Trans. Neural Networks Learn. Syst. 11 (3) (2000)
David J. Miller, Lian Yan
Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification. Neural Comput. 12 (9) (2000)
Lian Yan, David J. Miller
Time series prediction via neural network inversion. ICASSP (1999)
David J. Miller, Lian Yan
Approximate maximum entropy joint feature inference for discrete space classification. IJCNN (1999)
David J. Miller, Lian Yan
Critic-driven ensemble classification. IEEE Trans. Signal Process. 47 (10) (1999)
David J. Miller, Lian Yan
Ensemble classification by critic-driven combining. ICASSP (1999)