在国内外重要学术期刊/学术会议上发表论文80多篇,出版专著1部。其中3篇入选ESI高被引论文。
发表的部分论文:
- Yue Liu, Tianlu Zhao, Wangwei Ju, Siqi Shi. Materials Discovery and Design Using Machine Learning, Journal of Materiomics, 2017, 3: 159-177. (SCI IF= 8.589,中科院1区,中国科技期刊卓越行动计划重点期刊;被引频次:564,高被引论文;被评为中国硅酸盐学会2021年度“高影响力论文”奖)
- Siqi Shi, Jian Gao, Yue Liu(通讯作者), Yan Zhao, Qu Wu, Wangwei Ju, Chuying Ouyang, Ruijuan Xiao. Multi-scale Computation Methods: Their Applications in Lithium-ion Battery Research and Development. CHINESE PHYSICS B, 2016, 25(1): 174-197.( SCI IF= 1.652,中科院3区,中国科技期刊卓越行动计划梯队期刊;被引频次:432,高被引论文;被评为中国物理学会2019年度“最有影响论文奖”一等奖)
- Yue Liu, Junming Wu, Guang Yang, Tianlu Zhao, Siqi Shi. Predicting the Onset Temperature (Tg) of GexSe(1-x) Glass Transition: a Feature Selection Based Two-stage Support Vector Regression Method, Science Bulletin, 2019, 64(16): 1195-1203 (SCI IF = 20.577,JCR 1区,中科院1区,TOP期刊; 被引频次:38)
- Yue Liu, Aihua Tang, Fei Cai, Pengfei Ren, Zhibin Sun, Multi-feature Based Question-Answerer Model Matching for Predicting Response Time in CQA, Knowledge-Based Systems, 2019, 182: 10479-10491. (SCI IF= 8.139, JCR 1区, 中科院1区;被引频次:10)
- Yue Liu, Junming Wu, Maxim Avdeev, Siqi Shi. Multi-Layer Feature Selection Incorporating Weighted Score-Based Expert Knowledge toward Modeling Materials with Targeted Properties, Advanced Theory and Simulations, 2020, 3(2) (SCI IF=4.105,JCR 1区;被引频次:57)
- Yue Liu, Biru Guo, Xinxin Zou, Yajie Li, Siqi Shi. Machine Learning Assisted Materials Design and Discovery for Rechargeable Batteries, Energy Storage Materials,2020, 31:434-450 (SCI IF = 20.831,JCR 1区,中科院1区,TOP期刊;被引频次:127,高被引论文)
- Yue Liu, Junming Wu, Zhichao Wang, Xiao-Gang Lu, Maxim Avdeev, Siqi Shi, Chongyu Wang, Tao Yu. Predicting Creep Rupture Life of Ni-based Single Crystal Superalloys Using Divide-and-conquer Approach Based Machine Learning, Acta Materialia, 2020, 195: 454-467 (SCI IF = 9.209,JCR 1区,中科院1区,TOP期刊; 被引频次:65)
- Yue Liu, Aihua Tang, Zhibin Sun, Weize Tang, Fei Cai, Chengjin Wang. An Integrated Retrieval Framework for Similar Questions: Word-semantic Embedded Label Clustering-LDA with Question Life Cycle[J]. Information Sciences, 2020, 537, 227-245. (SCI IF= 8.233,JCR 1区,中科院1区;被引频次:6)
- 刘悦, 邹欣欣, 杨正伟, 施思齐. 材料领域知识嵌入的机器学习, 硅酸盐学报, 2022,50(03): 863-876 (下载量:1765)
- Yue Liu, Xinxin Zou, Shuchang Ma, Maxim Avdeev, Siqi Shi. Feature Selection Method Reducing Correlations Among Features by Embedding Domain Knowledge [J]. Acta Materialia, 2022, 238: 118195(SCI IF = 9.209,JCR 1区,中科院1区,TOP期刊; 被引频次:5)
- Yue Liu, Weize Tang, Zitu Liu, Lin Ding, Aihua Tang. High-quality Domain Expert Finding Method in CQA Based on Multi-granularity Semantic Analysis and Interest Drift [J]. Information Sciences, 2022, 596: 395-413. (SCI IF= 8.233,JCR 1区,中科院1区;被引频次:4)
- Yue Liu, Xianyuan Ge, Zhengwei Yang, Shiyu Sun, Dahui Liu, Maxim Avdeev, Siqi Shi. An Automatic Descriptors Recognizer Customized for Materials Science Literature[J]. Journal of Power Sources, 2022, 545(15): 231946. (SCI IF= 9.794,JCR 1区,中科院1区; 被引频次:1)
- 施思齐,孙拾雨,马舒畅, 邹欣欣, 钱权, 刘悦(通讯作者).融合材料领域知识的数据准确性检测方法[J]. 无机材料学报, 2022,37(12):1311-1325. (下载量:224)
- Yue Liu, Zitu Liu, Shuang Li, Yike Guo, Qun Liu, Guoyin Wang. Cloud-Cluster: An Uncertainty Clustering Algorithm Based on Cloud Model[J]. Knowledge-Based Systems, 2023: 110261. (SCI IF= 8.139,JCR 1区,中科院1区;被引频次:2)
- Yue Liu, Zitu Liu, Shuang Li, Zhenyao Yu, Yike Guo, Qun Liu, Guoyin Wang. Cloud-VAE: Variational Autoencoder with Concepts Embedded[J]. Pattern Recognition, 2023, 140: 109530. (SCI IF= 8.518,JCR 1区,中科院1区)
- Yue Liu, Lin Ding, Zhengwei Yang, Xianyuan Ge Dahui Liu, Wei Liu, Tao Yu, Maxim Avdeev, Siqi Shi, Domain Knowledge Discovery From Abstracts of Scientific Literature on Nickel-based Single Crystal Superalloys [J]. SCIENCE CHINA Technological Sciences, 2023. (SCI IF= 4.7,JCR 2区,中科院2区)
- 刘悦, 刘大晖, 葛献远, 杨正伟, 马舒畅, 邹喆乂, 施思齐. 高质量的材料科学文本挖掘数据集构建方法[J]. 物理学报, 2023, 72(07):128-141. (下载量:356)
- 刘悦,马舒畅,杨正伟,邹欣欣,施思齐.面向材料领域机器学习的数据质量治理[J]. 硅酸盐学报, 2023, 51(02):427-437. (下载量:321)
- Yue Liu, Zhengwei Yang, Xinxin Zou, Shuchang Ma, Dahui Liu, Maxim Avdeev and Siqi Shi, Data Quantity Governance for Machine Learning in Materials Science [J]. National Science Review, 2023. (SCI IF=23.178, JCR 1区, 中科院1区)
发表的专著:
- 刘悦,神经网络集成及其在地震预报中的应用研究,上海大学出版社,2009年6月第1版,ISBN:978-7-81118-367-2/G.490
申请的专利:
- 基于广义邻近替代的产品需求预测方法,2010年3月17日申请,申请号:201010126374.X,公开号:101807271A
- 一种面向科学数据分析的自动聚类算法选择系统及方法,2019年9月29日,申请号:201910931657.2,公开号:CN110738245A
- 文本数据的描述符识别方法、装置及介质,2022年05月19日,申请号:202210553720.5,公开号:CN114997176A
- 一种材料性能自动预测系统, 2022年0月27日, 申请号: 202210735361.5,公开号:CN115148307A
- 一种基于层级预测演变的深度神经网络过程解释装置, 2022年12月22日, 申请号: 202211650137.2