Lian Yan - RankMe

29 papers A* 6B 2C 1Misc 3Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models. AAAI Lian Yan, Haotian Wang, Chen Tang, Haifeng Liu, Tianyang Sun, Liangliang Liu, Yi Guan, Jingchi Jiang
2026	J	`jnl`	KA2L: A Knowledge-Aware Active Learning Framework for LLMs. CoRR Haoxuan Yin, Bojian Liu, Chen Tang, Yangfan Wang, Lian Yan, Jingchi Jiang
2025	—	`conf`	Agri-CM³: A Chinese Massive Multi-modal, Multi-level Benchmark for Agricultural Understanding and Reasoning. ACL (1) Haotian Wang, Yi Guan, Fanshu Meng, Chao Zhao, Lian Yan, Yang Yang, Jingchi Jiang
2025	J	`jnl`	AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models. CoRR Lian Yan, Haotian Wang, Chen Tang, Haifeng Liu, Tianyang Sun, Liangliang Liu, Yi Guan, Jingchi Jiang
2025	A*	`conf`	KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling. EMNLP Yangfan Wang, Jie Liu, Chen Tang, Lian Yan, Jingchi Jiang
2025	J	`jnl`	KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling. CoRR Yangfan Wang, Jie Liu, Chen Tang, Lian Yan, Jingchi Jiang
2025	J	`jnl`	Knowledge assimilation: Implementing knowledge-guided agricultural large language model. Knowl. Based Syst. Jingchi Jiang, Lian Yan, Haifeng Liu, Zhenbo Xia, Haotian Wang, Yang Yang, Yi Guan
2025	J	`jnl`	Learning to break: Knowledge-enhanced reasoning in multi-agent debate system. Neurocomputing Haotian Wang, Xiyuan Du, Weijiang Yu, Qianglong Chen, Kun Zhu, Zheng Chu, Lian Yan, Yi Guan
2025	J	`jnl`	Multi-modal multi-agent debate-based dialectical knowledge transfer learning. Appl. Soft Comput. Haotian Wang, Weijiang Yu, Xiyuan Du, Qianglong Chen, Zheng Chu, Lian Yan, Jingchi Jiang, Yi Guan
2025	—	`conf`	RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations. ACL (Findings) Lian Yan, Chen Tang, Yi Guan, Haotian Wang, Songyuan Wang, Haifeng Liu, Yang Yang, Jingchi Jiang
2024	J	`jnl`	EIRAD: An Evidence-Based Dialogue System With Highly Interpretable Reasoning Path for Automatic Diagnosis. IEEE J. Biomed. Health Informatics Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Yang Yang, Boran Wang, Jingchi Jiang
2024	J	`jnl`	ProSpec RL: Plan Ahead, then Execute. CoRR Liangliang Liu, Yi Guan, Boran Wang, Rujia Shen, Yi Lin, Chaoran Kong, Lian Yan, Jingchi Jiang
2023	J	`jnl`	ARLPE: A meta reinforcement learning framework for glucose regulation in type 1 diabetics. Expert Syst. Appl. Xuehui Yu, Yi Guan, Lian Yan, Shulang Li, Xuelian Fu, Jingchi Jiang
2023	J	`jnl`	Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates. CoRR Haotian Wang, Xiyuan Du, Weijiang Yu, Qianglong Chen, Kun Zhu, Zheng Chu, Lian Yan, Yi Guan
2023	—	`conf`	Efficient Evidence-Based Dialogue System for Medical Diagnosis. BIBM Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Jingchi Jiang
2022	Misc	`conf`	Contextual Policy Transfer in Meta-Reinforcement Learning via Active Learning. WISA Jingchi Jiang, Lian Yan, Xuehui Yu, Yi Guan
2020	C	`conf`	A Decode-and-Forward Relay-Aided Proactive Eavesdropping Scheme for Wireless Surveillance. ICCC Haowei Wu, Lian Yan, Rui Ma, Jinglan Ou, Jingyue Cui
2006	A*	`conf`	Beyond classification and ranking: constrained optimization of the ROI. KDD Lian Yan, Patrick Baldasare
2005	A*	`conf`	Enhancing the lift under budget constraints: an application in the mutual fund industry. KDD Lian Yan, Michael Fassino, Patrick Baldasare
2005	B	`conf`	Predicting customer behavior via calling links. IJCNN Lian Yan, Michael Fassino, Patrick Baldasare
2004	J	`jnl`	Predicting Customer Behavior in Telecommunications. IEEE Intell. Syst. Lian Yan, Richard H. Wolniewicz, Robert H. Dodier
2004	A*	`conf`	Predicting prostate cancer recurrence via maximizing the concordance index. KDD Lian Yan, David Verbel, Olivier Saidi
2003	A*	`conf`	Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic. ICML Lian Yan, Robert H. Dodier, Michael Mozer, Richard H. Wolniewicz
2000	J	`jnl`	Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification. Neural Comput. David J. Miller, Lian Yan
2000	J	`jnl`	General statistical inference for discrete and mixed spaces by an approximate application of the maximum entropy principle. IEEE Trans. Neural Networks Learn. Syst. Lian Yan, David J. Miller
1999	B	`conf`	Approximate maximum entropy joint feature inference for discrete space classification. IJCNN David J. Miller, Lian Yan
1999	J	`jnl`	Critic-driven ensemble classification. IEEE Trans. Signal Process. David J. Miller, Lian Yan
1999	Misc	`conf`	Ensemble classification by critic-driven combining. ICASSP David J. Miller, Lian Yan
1999	Misc	`conf`	Time series prediction via neural network inversion. ICASSP Lian Yan, David J. Miller