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Lian Yan
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2020 – today
- 2024
- [j6]Lian Yan
, Yi Guan
EIRAD: An Evidence-Based Dialogue System With Highly Interpretable Reasoning Path for Automatic Diagnosis. IEEE J. Biomed. Health Informatics 28(10): 6141-6154 (2024) - [i2]Liangliang Liu, Yi Guan, Boran Wang, Rujia Shen, Yi Lin, Chaoran Kong, Lian Yan, Jingchi Jiang:
ProSpec RL: Plan Ahead, then Execute. CoRR abs/2407.21359 (2024) - 2023
- [j5]Xuehui Yu
ARLPE: A meta reinforcement learning framework for glucose regulation in type 1 diabetics. Expert Syst. Appl. 228: 120156 (2023) - [c10]Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Jingchi Jiang:
Efficient Evidence-Based Dialogue System for Medical Diagnosis. BIBM 2023: 3406-3413 - [i1]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 abs/2312.04854 (2023) - 2022
- [c9]Jingchi Jiang, Lian Yan, Xuehui Yu, Yi Guan:
Contextual Policy Transfer in Meta-Reinforcement Learning via Active Learning. WISA 2022: 354-365 - 2020
- [c8]Haowei Wu, Lian Yan, Rui Ma
A Decode-and-Forward Relay-Aided Proactive Eavesdropping Scheme for Wireless Surveillance. ICCC 2020: 1104-1109
2000 – 2009
- 2006
- [c7]Lian Yan, Patrick Baldasare:
Beyond classification and ranking: constrained optimization of the ROI. KDD 2006: 948-953 - 2005
- [c6]Lian Yan, Michael Fassino, Patrick Baldasare:
Enhancing the lift under budget constraints: an application in the mutual fund industry. KDD 2005: 509-515 - 2004
- [j4]Lian Yan, Richard H. Wolniewicz, Robert H. Dodier:
Predicting Customer Behavior in Telecommunications. IEEE Intell. Syst. 19(2): 50-58 (2004) - [c5]Lian Yan, David Verbel, Olivier Saidi:
Predicting prostate cancer recurrence via maximizing the concordance index. KDD 2004: 479-485 - 2003
- [c4]Lian Yan, Robert H. Dodier, Michael Mozer, Richard H. Wolniewicz:
Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic. ICML 2003: 848-855 - 2000
- [j3]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): 2175-2207 (2000) - [j2]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): 558-573 (2000)
1990 – 1999
- 1999
- [j1]David J. Miller, Lian Yan:
Critic-driven ensemble classification. IEEE Trans. Signal Process. 47(10): 2833-2844 (1999) - [c3]David J. Miller, Lian Yan:
Ensemble classification by critic-driven combining. ICASSP 1999: 1029-1032 - [c2]Lian Yan, David J. Miller:
Time series prediction via neural network inversion. ICASSP 1999: 1049-1052 - [c1]David J. Miller, Lian Yan:
Approximate maximum entropy joint feature inference for discrete space classification. IJCNN 1999: 1419-1424
Coauthor Index
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