刘礼

17/03/17 17:34:11 作者: 点击:[] [小] [中] [大]

 

个人简介

刘礼,副教授,博士。邮箱:dcsliuli@cqu.edu.cn


一直致力于从事传感大数据分析技术及其应用研究,主持国家基金委面上项目、青年基金,国家重大研发计划项目子课题,重庆市科委重大专项,教育部科研启动基金等10余项,主研完成欧盟框架7重大项目,国家重点基础研究项目(973计划)重大重点等项目近20项;已发表论文100余篇,其中SCI论文近40篇、SSCI论文4篇,其中JCR一区论文20余篇,ESI高被引论文2篇,CCF ABC列表论文40余篇,包括AAAI、CSCW、PR、INS等人工智能顶级期刊会议,Google引用率1600+次;申请发明专利10余项;担任Sensors、Web Intelligence等国际SCI期刊的客座主编,在UbiComp、CSCW等CCF ABC类国际会议或研讨会任程序委员会主席、委员等,任全国可穿戴计算会议秘书长,以及IEEE Transactions on Cybernetics,IEEE Intelligent Systems,IEEE Transactions on Learning Technologies等人工智能顶级期刊的评审;重庆市高层次人才。 

创立了金沙国际注册娱乐网址物联网体感大数据实验室;结合大数据技术实际应用于建筑、医疗、制造等行业,与重庆本地企事业单位合作,研发完成大数据驱动的智慧建筑工地信息管理平台、肿瘤风险等级预测模型、长安汽车发动机生产质量预测等一系列实际上线应用,实现了技术创新与科技成果转化。


研究方向

        1. 大数据分析:因果学习技术、数据分析应用(医疗健康、教育、工业制造等)

        2. 人工智能① AI艺术设计图、艺术图等自动生成技术)② 人机交互技术(智能穿戴技术、VR/AR交互技术)。


金沙国际注册娱乐网址物联网体感大数据实验室

* 实验室长期招收博士生、硕士生和本科生,有意者请邮件联系。

 

 

近期主要论文(Selected Papers)

1. Su, G.X., Liu, L.*, Zhang, M.J., Rosenblum, D.S., Quantitative Verification for Monitoring Event-Streaming Systems, IEEE Transactions on Software Engineering, 2020. (accepted) (JCR一区, CCF A)

2. Hu, J.F., Liao, J., Fan, Z.C., Liu, L.*, Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network, The 24th European Conference on Artificial Intelligence, ECAI 2020. (CCF B)

3. Yan, X.W., Liao, J., Luo, H., Liu, L.*, Predicting cancer risks by a constraint-based causal network, 2020 IEEE International Conference on Multimedia and Expo, ICME 2020. (CCF B)

4. Liu, L., Wang, S., Hu, B., Qiong, Q.Y., Wen, J.H., Rosenblum, D.S., Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition, Pattern Recognition 81:545-561, 2018. (JCR一区, CCF B)

5. Liu, L., Wang, S., Su, G.X, Huang, Z.G., Liu, M., Towards complex activity recognition using a Bayesian network-based probabilistic generative framework, Pattern Recognition, 68:295–309, 2017 (JCR一区, CCF B)

6. Lu, Y.G., Wei, Y., Liu, L.*, Zhong, J., Sun, L.T., Liu, Y., Towards Unsupervised Physical Activity Recognition Using Smartphone Accelerometers, Multimedia Tools and Applications, 76(8):10701-10719, 2017. (ESI高被引论文,JCR二, CCF C)

7. Liu, L., Wang, S., Peng, Y.X., Huang, Z.G., Liu, M., Hu, B., Mining intricate temporal rules for recognizing complex activities of daily living under uncertainty, Patten Recognition, 60:1015-1028, 2016. (JCR一区, CCF B)

8. Liu, Y., Nie, L.Q., Liu, L., Rosenblum, D.S., Action to Activity: Sensor-Based Activity Recognition, Neurocomputing, 181:108–115, 2016. (ESI高被引论文,JCR一, CCF C)

9. Liu, L., Cheng, L., Liu, Y., Jia, Y.P., Rosenblum, D.S., Recognizing Complex Activities by a Probabilistic Interval-Based Model, The 30th AAAI Conference on Artificial Intelligence, AAAI 2016, pp. 1266- 1272, AAAI press, 2016. (CCF A)

10. Jia, Y.P., Song, X.M., Zhou, J.B., Liu, L.*, Nie, L.Q., Rosenblum, D.S., Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction, The 30th AAAI Conference on Artificial Intelligence, AAAI 2016, pp. 165- 171, AAAI press, 2016. (CCF A)


近期主要项目

1. 国家自然科学基金委面上项目 “基于生理特征感知的具身学习认知负荷智能测评研究” 2020.01-2023.12 主持

2. 国家“新一代人工智能”重大科技专项 “基于跨媒体知识图谱的因果计算 (课题:基于因果图谱的跨媒体创意设计)” 2020.01-2022.12 子课题主持

3. 国家自然科学基金委青年项目 “普适环境下支持生物电信号的多模态情感特征建模和推理研究” 2011.01-2013.12 主持

4. 国家重点研发计划 “综合科技服务资源集成应用关键技术研究” 2018.05-2020.11 主研

5. 工信部科技计划项目 “长安汽车智能柔性高速冲压新模式应用” 2017.06-2018.06 主研


成果获奖

1. “大数据驱动的智慧建筑工地信息管理平台关键技术与综合应用” 华夏科学技术进步奖(省部级)二等奖 2019


专业任职经历

2010/05 至今,中国计算机学会协同专业委员会,委员

2016/11 至今,中国计算机学会生物信息学专业组,委员

2018/09 至今,中国计算机学会普适计算专业委员会,委员

2019/04 至今,中国生物医学工程学会中医药工程分会,委员


人才计划

重庆市高层次人才(第四类)



详细列表



期刊论文(SCI)

1. Miao, Q., Peng, Y.X., Liu, L., McDaid, A., Zhang, M., Subject-specific compliance control of an upper-limb bilateral robotic system, Robotics and Autonomous Systems 126, 103478, 2020. (JCR二区)

2. Wang, A.G.., Zhao, S., Liu, J., Yang, J., Liu, L., Chen, G., Locality Adaptive Preserving Projections for Linear Dimensionality Reduction, Expert Systems with Applications, 113352, 2020. (JCR一区, CCF C)

3. Wang, K.X., Su, G.X., Liu, L., Wang, S., Wavelet packet analysis for speaker-independent emotion recognition, Neurocomputing, 2020. (JCR一区, CCF C)

4. Zhang, S.P., Dong, J.Q., Liu, L., Huang, Z.G., Huang, L., Lai, Y.C., Reinforcement learning meets minority game: Toward optimal resource allocation, Physical Review E, 99(032302), 2019.(JCR一区)

5. Wu, Y., Li, L.L., Liu, L., Liu, Y., Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy, Multimedia Tools and Applications, 78(4):4179–4195, 2019. (JCR二区, CCF C)

6. Li, T., Li, L., Wu, Y., Liu, L., Liu, Y., Khan, A., Hashmi, A., An Intelligent Wellness Assessment System for the Elderly Healthcare, Journal of Medical Imaging and Health Informatics 9 (8), 1725-1731, 2019. (JCR四区)

7. Liu, L., Wang, S., Hu, B., Qiong, Q.Y., Wen, J.H., Rosenblum, D.S., Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition, Pattern Recognition 81:545-561, 2018. (JCR一区, CCF B)

8. Wang, A.G., Chen, G.L., Wu, X., Liu, L., An, N., Chang, C.Y., Towards Human Activity Recognition: A Hierarchical Feature Selection Framework, 18(11), 3629, Sensors, 2018. (JCR一区)

9. Liu, M., Rus, V., Liu, L., Automatic Chinese multiple choice question generation using mixed similarity strategy, IEEE Transactions on Learning Technologies, 11(2):193-202, 2018. (JCR一区, SSCI)

10. Peng, Y.X., Liu, L., Zhang, Y.K., Cao, J., Cheng, Y., Wang, J., A smooth impact drive mechanism actuation method for flapping wing mechanism of bio-inspired micro air vehicles, Microsystem Technologies, 24(2): 935–941,2018. (JCR三区)

11. Liu, F., Liu, L., Zheng, F., Tang, X.D., Bao, Y., Zuo, Y., Identification of surgical patients at high risk of OSAS using the Berlin Questionnaire to detect potential high risk of adverse respiratory events in post anesthesia care unit, Frontiers of medicine 12 (2), 189-195, 2018. (JCR三区)

12. Wang, A.G., An, N., Chen, G.L., Liu, L., Alterovitz, G., Subtype dependent biomarker identification and tumor classification from gene expression profiles, Knowledge-Based Systems, 146:104-117, 2018. (JCR一区, CCF C)

13. Liu, M., Liu, L.P., V., Liu, L., Group awareness increases student engagement in online collaborative writing, The Internet and Higher Education, 38:1-8, 2018. (JCR一区, SSCI)

14. Chen, G.L., Wang, A.G., Zhao, S., Liu, L., Chang, C.Y., Latent feature learning for activity recognition using simple sensors in smart homes, Multimedia Tools and Applications 77 (12):15201-15219, 2018 (JCR二区, CCF C)

15. Liu, L., Wang, S., Su, G.X, Huang, Z.G., Liu, M., Towards complex activity recognition using a Bayesian network-based probabilistic generative framework, Pattern Recognition, 68:295–309, 2017 (JCR一区, CCF B)

16. Liu, L., Wang, S., Su, G.X, Hu, B., Peng, Y.X., Xiong, Q.Y., Wen, J.H., A framework of mining semantic-based probabilistic event relations for complex activity recognition, Information Sciences, 418-419:13-33, 2017. (JCR一区, CCF B)

17. Liu, M., Rus, V., Liu, L., Automatic Chinese Factual Question Generation, IEEE Transactions on Learning Technologies, 10(2):194-204, 2017. (JCR一区, SSCI)

18. Liu, M., Rus, V., Liao, Q, Liu, L., Encoding and Ranking Similar Chinese Characters, Journal of Information Science and Engineering, 33(5): 1195-1211, 2017. (JCR四区)

19. Liu, M., Li, Y., Xu, W.W., Liu, L., Automated Essay Feedback Generation and Its Impact in the Revision, IEEE Transactions on Learning Technologies, 10(4): 502-513, 2017. (JCR一区, SSCI)

20. Lu, Y.G., Wei, Y., Liu, L., Zhong, J., Sun, L.T., Liu, Y., Towards Unsupervised Physical Activity Recognition Using Smartphone Accelerometers, Multimedia Tools and Applications, 76(8):10701-10719, 2017. (JCR二区, CCF C)

21. Wang, Q.R., Liu, L., Wang, S., Wang, J.Z., Liu, M., Predicting Beijing’s tertiary industry with an improved grey model, Applied Soft Computing, 57:482–494, 2017. (JCR一区)

22. Huo, JY, Zhang, YN, Luo, LH, Long, YP, He, ZF, Liu, L., Model Parameter Optimization Method Research in Heihe River Open Modeling Environment (HOME), International Journal of Pattern Recognition and Artificial Intelligence, 31(9), 2017 (JCR四区)

23. Peng, Y.X., Cao, J., Liu, L., Yu, H.Y., A piezo-driven flapping wing mechanism for micro air vehicles, Microsystem Technologies, 23(4):967-973, 2017. (JCR三区)

24. Liu, L., Wang, S., Peng, Y.X., Huang, Z.G., Liu, M., Hu, B., Mining intricate temporal rules for recognizing complex activities of daily living under uncertainty, Patten Recognition, 60:1015-1028, 2016. (JCR一区, CCF B)

25. Liu, L., Peng, Y.X, Wang, S., Huang, Z.G., Liu, M., Complex Activity Recognition Using Time Series Pattern Dictionary Learned from Ubiquitous Sensors, Information Sciences, 340–341:41–57, 2016. (JCR一区, CCF B)

26. Liu, Y., Nie, L.Q., Liu, L., Rosenblum, D.S., Action to Activity: Sensor-Based Activity Recognition, Neurocomputing, 181:108–115, 2016.(JCR一区, CCF C) 

27. Liu, L., Chen, X.W., Liu, M., Jia, Y.P., Zhong, J., Gao, R.M., Zhao, Y., An influence power-based clustering approach with PageRank-like model, Applied Soft Computing, 40:17-32, 2016. (JCR一区)

28. Liu, L., Sun, L.T., Chen, S.P., Liu, M., Zhong, J., K-PRSCAN: A clustering method based on PageRank, Neurocomputing, 175(A):65-80, 2016. (JCR一区, CCF C)

29. Liu, L., Wang, Q.R., Wang, J.Z., Liu, M., A Rolling Grey Model Optimized by PSO in Economic Prediction, Computational Intelligence, 32(3):391-419, 2016. (JCR四区, CCF C)

30. Liu, L., Peng, Y.X, Huang, Z.G., Liu, M., Sensor-based Human Activity Recognition System with A Multilayered Model Using Time Series Shapelets, Knowledge-Based Systems, 90:138-152, 2015. (JCR一区, CCF C)

31. Liu, L., Luo, D.S., Liu, M., Zhong, J., Wei, Y., Sun, L.T., A Self-adaptive Hidden Markov Model for Emotion Classification in Chinese Microblogs, Mathematical Problems in Engineering, vol.2015, article no. 987189, 2015. (JCR三区)

32. Liu, L., Wang, Q.R., Liu, M., Li, L., An intelligence optimized rolling grey forecasting model fitted to small economic dataset, Abstract and Applied Analysis, vol. 2014, article no. 641514, 2014. (JCR一区)

33. Liu, L., Chen, X.W., Luo, D.S., Lu, Y.G., Xu, G.D., Liu, M., HSC: A Spectral Clustering Algorithm Combined with Hierarchical Method, Neural Network World, 2013, 23(6):499-521. (JCR四区)

34. Liu, L., Li, L., Hu, B., Algorithms for k-fault Tolerant Power Assignments in Wireless Sensor Networks, Science China-Information Sciences, 2010, 53(12):2527–2537. (JCR二区, CCF B)

35. Liu, L., Hu, B., Li, L., Algorithms for Energy Efficient Mobile Object Tracking in Wireless Sensor Networks, Cluster Computing, 2010, 13(2):181-197. (JCR二区)

36. Liu, L., Hu, B., Li, L., Energy Conservation Algorithms for Maintaining Coverage and Connectivity in Wireless Sensor Networks, IET Communications, 2010, 4(7):786-800. (JCR三区, CCF C)

37. Li, X.W., Zhao, Q.L., Liu, L., Peng, H., Qi, Y.B., Mao C.S., Zheng, F, Liu, Q.Y., Hu, B., Improve Affective Learning With EEG Approach, Computing and Informatics, 2010, 29(4):557-570. (JCR四区)

38. Hu, Bin, Hu, Bo, Wan, J.Z., Zheng, F., Liu, L., UWMAIS: Ubiquitous Water Monitoring Platform, Cluster Computing, 2010, 13(2):153-165. (JCR二区)

39. Li, H., Miao, H.F., Liu, L., Li, L., Zhang, H.P., Energy Conservation in Wireless Sensor Networks and Connectivity of Graphs, Theoretical Computer Science, 2008, 393/1-3:81-89. (JCR四区, CCF B)


会议论文(SCI,EI,ISTP)

1. Hu, J.F., Liao, J., Fan, Z.C., Liu, L., Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network, The 24th European Conference on Artificial Intelligence, ECAI 2020. (CCF B)

2. Yan, X.W., Liao, J., Luo, H., Liu, L., Predicting cancer risks by a constraint-based causal network, 2020 IEEE International Conference on Multimedia and Expo, ICME 2020. (CCF B)

3. Ye, T., Liao, J., Yan, X.W., Luo. H., Zhang, W.B., Liu, L., Discovering biomedical causality by a generative Bayesian causal network under uncertainty, International Joint Conference on Neural Networks, IJCNN 2020. (CCF C)

4. Hu, J.F., Liao, J., Liu, L., Ma, W.C., RCapsNet: A Recurrent Capsule Network for Text Classification, International Joint Conference on Neural Networks, IJCNN 2020. (CCF C)

5. He, S., Deng, K., Li, L., Shu, S., Liu, L., Discriminatively Relabel for Partial Multi-label Learning, 2019 IEEE International Conference on Data Mining, ICDM 2019, 280-288, 2019. (CCF B)

6. Liu, D.D., Liao, J., Liu, L., Modeling Data-Driven Liver Cancer Prediction with Medical Knowledge on Chinese Population, 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/ SCALCOM/ UIC/ ATC/ CBDCom/ IOP/ SCI), 1225-1230, 2019. (CCF C)

7. Liao, J., Liu, D.D., Hu, J.F., Li, Y., Khan, A., Liu, L., Xiong, Q.Y., Wen, J.H., Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature, 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/ SCALCOM/ UIC/ ATC/ CBDCom/ IOP/ SCI), 1225-1230, 2019. (CCF C)

8. Ma, W.C., Hu, J.F., Liao, J., Fan, Z.C., Wu, J.J., Liu, L., Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope, International Conference on Knowledge Science, Engineering and Management, KSEM 2019, pp. 406-413, 2019.(CCF C)

9. Yang, Z.B., Li, L., He, J., Wei, Z.X., Liu, L., Liao, J., Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning, International Conference on Knowledge Science, Engineering and Management, KSEM 2019, pp. 763-773, 2019.(CCF C)

10. Huang, K.X., Cao, Y.K., Du, Y., Li, L., Liu, L., Liao, J., Social-Aware and Sequential Embedding for Cold-Start Recommendation, International Conference on Knowledge Science, Engineering and Management, KSEM 2019, pp. 60-71, 2019.(CCF C)

11. Li, Y.D., Wang, T.Q., Li, L., Li, C.H., Yang, Y., Liu, L., Hand Gesture Recognition and Real-time Game Control Based on A Wearable Band with 6-axis Sensors, International Joint Conference on Neural Networks, IJCNN 2018, pp.1-6, 2018. (CCF C)

12. Hu, J.F., Ma, W.C., Khan, A., Liu, L., Recognizing Character-Matching CAPTCHA Using Convolutional Neural Networks with Triple Loss, International Conference on Knowledge Science, Engineering and Management, KSEM 2018, pp. 209-220, 2018.(CCF C)

13. Wang, D.N., Liu, L., Su, G.X., Li, Y.D., Khan, A., Recognizing Diseases from Physiological Time Series Data Using Probabilistic Model, KSEM 2018, pp. 388-399, 2018.(CCF C)

14. Wang, T.Q., Li, Y.D., Hu, J.F., Khan, A., Liu, L., Li, C.H., Hashmi, A., Ran, M.Y., A Survey on Vision-Based Hand Gesture Recognition, International Conference on Smart Multimedia, ICSM2018, pp. 219-231, 2018.

15. Zhang, H., Wu, B., Liu, L., Xie, R., Spectroscopy-Based Food Internal Quality Evaluation with XGBoost Algorithm, Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, APWeb-WAIM 2018, 56-61, 2018. (CCF C)

16. Xie, R., Gu, C., Liu, L., Chen, L., Zhang, L., Large Scale UAVs Collaborative Formation Simulation Based on Starlings’ Flight Mechanism, Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, APWeb-WAIM 2018, pp. 65-78, 2018. (CCF C)

17. Su, H.Z., Li, Y.D., Liu, L., Gesture Recognition Based on Accelerometer and Gyroscope and Its Application in Medical and Smart Homes, Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, APWeb-WAIM 2018, pp.90-100, 2018. (CCF C)

18. Li, L., Li, C.H., Wu, Y., Yang, Y., Zhang, Y., Zhang, H., Wu, B., Liu, L., Xie, R., Spectroscopy-Based Food Internal Quality Evaluation with XGBoost Algorithm,. Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, APWeb-WAIM 2018, pp. 56-64, 2018. (CCF C)

19. Wang, K.X., Chu, Z., Wang, K., Yu, T., Liu, L., Speech Emotion Recognition Using Multiple Classifiers, Asia-Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2017, pp.84-93, 2017. (CCF C)

20. Wu, Y., Liu, L., Kang, J., Li, L., Huang, B.X., Measuring the Wellness Indices of the Elderly Using RFID Sensors Data in a Smart Nursing Home, Asia-Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2017, pp. 66-73, 2017. (CCF C)

21. Wu, Y., Li, L., Ma, C., Li, L., Huang, B.X., Liu, L., Forecasting the wellness of elderly through SNMS, AIP Conference Proceedings, 1820 (1):080012, 2017.

22. Wang, X., Lu, Y.G., Wang, D., Liu, L., Zhou, H., Using Jaccard Distance Measure for Unsupervised Activity Recognition with Smartphone Accelerometers, Asia-Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2017, pp. 74-83, 2017. (CCF C)

23. Wang, A.G., Chen, G.L., Shang, C.J., Zhang, M.F., Liu, L., Human Activity Recognition in a Smart Home Environment with Stacked Denoising Autoencoders, The International Conference on Web-Age Information Management, WAIM 2016, vol.9998, pp. 29-40, Springer, 2016. (CCF C)

24. Wang, D.C., Liu, L., Wang, X.L., Lu, Y.G., A Novel Feature Extraction Method on Activity Recognition Using Smartphone, The International Conference on Web-Age Information Management, WAIM 2016, vol.9998, pp. 67-76, Springer, 2016. (CCF C)

25. Liu, L., Cheng, L., Liu, Y., Jia, Y.P., Rosenblum, D.S., Recognizing Complex Activities by a Probabilistic Interval-Based Model, The 30th AAAI Conference on Artificial Intelligence, AAAI 2016, pp. 1266- 1272, AAAI press, 2016. (CCF A)

26. Jia, Y.P., Song, X.M., Zhou, J.B., Liu, L., Nie, L.Q., Rosenblum, D.S., Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction, The 30th AAAI Conference on Artificial Intelligence, AAAI 2016, pp. 165- 171, AAAI press, 2016. (CCF A)

27. Liu, L., Huang, Z.G., Peng, Y.X., Liu, M., A Hierarchical Pachinko Allocation Model for Social Sentiment Mining, The 8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015, pp. 299-311, LNAI, Springer, 2015. (CCF C)

28. Wei, Y., Liu, L., Zhong, J., Lu, Y.G., Sun, L.T., Unsupervised Race Walking Recognition Using Smartphone Accelerometers, The 8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015, pp. 691–702, LNAI, Springer, 2015. (CCF C)

29. Zhong, J., Liu, L., Wei, Y., Luo, D.S., Sun L.T., Lu, Y.G., Personalized Activity Recognition using Molecular Complex Detection Clustering, Ubiquitous Intelligence and Computing, UIC2014, pp. 850–854. IEEE, 2014. (CCF C)

30. Sun, L.T., Liu, L., Wei, Y., Zhong, J., Luo, D.S., Liu, M., Monkaresi H., Apply Autocorrelation and Forward Difference to Measure Vital Signs Using Ordinary Camera, International Conference for Smart Health, ICSH 2014, LNCS, vol. 8549, Springer, 2014.

31. Chen, X., Liu, L., Luo, D., Xu, G., Lu, Y., Liu, M., Gao, R., A Spectral Clustering Algorithm Based on Hierarchical Method, International Workshop on Behavior and Social Informatics and Computing, IJCAI’13, ADMI 2013, LNAI, vol. 8316, pp.111-123, Springer, 2014.

32. Wang, Q.R., Chen, X.W., Luo, D.S., Wei, Y.F., Jin, L.Y., Liu, L., A Novel Method to Improve the Accuracy of Grey Prediction Model in Economic Prediction, Applied Mechanics and Materials, vol. 347, pp. 3331-3335, 2013.

33. Liu, L., Zhou, Y., Liu, M., Xu, G.D., Chen, X.W., Fan, D.P., Wang, Q.R., Preemptive Hadoop Jobs Scheduling under a Deadline, Proceeding of 8th International Conference on Semantics, Knowledge and Grids, pp. 72-79, IEEE, 2012.

34. Liu, L., Fan, D.P., Liu, M., Xu, G.D., Chen, S.P., Zhou, Y., Chen, X.W., Wang, Q.R., Wei,Y.F., A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction NetworksThe 8th International Conference on Advanced Data Mining and Applications, LNAI, vol.7713, pp.138-148, Springer, 2012.

35. Zhao, Q.L., Hu, B., Liu, L., Ratcliffe, M., Peng, H., Zhai, J.W., Li, L.L., Shi, Q.X., Liu, Q.Y., and Qi, Y.B., An EEG based nonlinearity analysis method for schizophrenia diagnosis, Proceeding of the 9th IASTED International Conference on Biomedical Engineering, ACTA, 2012.

36. Li, Y.C., Li, X.W., Ratcliffe, M., Liu, L., Qi, Y.B., Liu, Q.Y., A real-time EEG-based BCI System for attention recognition in ubiquitous environment, Proceeding of 2011 international workshop on Ubiquitous affective awareness and intelligent interaction, Ubicomp 2011, pp. 33-40, ACM, 2011.

37. Hu, B., Liu, L., Gutknecht, J., Ubiquitous affective awareness and intelligent interaction, Proceeding of the 13th international conference on Ubiquitous computing, Ubicomp 2011, pp. 633-634, ACM, 2011.

38. Hu, B., Mao, C., Campbell, W., Moore, P., Liu, L., Zhao, G., A pervasive EEG-based biometric system. Proceeding of 2011 international workshop on Ubiquitous affective awareness and intelligent interaction, Ubicomp 2011, pp. 17-24, ACM, 2011.

39. Hu, B., Zheng, F., Liu, L., Ubiquitous Awareness and Intelligent Solutions Lab: Lanzhou University, Proceeding of the ACM 2011 conference on computer supported cooperative work, CSCW 2011, pp. 151-158, ACM, 2011. (CCF A)

40. Lin, J.Z., Li, X.N., Yang, Y., Liu, L., Guo, W.Q., Li X., and Li, L., A Context-aware Recommender System for M-commerce Applications, Proceedings of the 2011 international conference on Active Media Technology, LNCS, vol. 6890, pp. 217-228, Springer, 2011.

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