自然语言处理、情感分析、社交媒体数据分析与应用、特征学习

2017.09 - 2022.08， 美国新泽西理工学院， 计算机工程，博士

2015.09 - 2017.07， 美国新泽西理工学院， 计算机工程，硕士

2010.09 - 2014.07， 昆明理工大学，            自动化，       学士

2023.09 - 至今：浙江工商大学， 信息与电子工程学院， 讲师

2022.10 - 2023.08：美国北伊利诺伊大学，工程学院，助理教授

担任IEEE Trans. Intelligent Transportation Systems, IEEE Trans. Systems, Man and Cybernetics: Systems, IEEE Trans. Industrial Informatics, IEEE Internet of Thing Journal, IEEE/CAA Journal of Automatica Sinica, Research, International Journal of Image and Graphics 等杂志的审稿人。

• 新泽西理工学院 Hashimoto Fellowship，2021年

• 新泽西理工学院 Ross Fellowship， 2018年

• 自然语言处理

• Natural Language Processing
  

Google Scholar: https://scholar.google.com/citations?user=JvOJI64AAAAJ&hl=en&oi=ao

• H. Liu, M. C. Zhou, X. S. Lu, “Analysis of evolutionary social media activities: Pre and Post-vaccine Emergency Use,” IEEE/CAA Journal of Automatica Sinica, 2023, 10(4): 1090-1092.

• S. Han, K. Zhu, M. C. Zhou, X. Liu, H. Liu, Y. AI-Turki and A. Abusorrah, “A novel multiobjective fireworks algorithm and its applications to imbalanced distance minimization problem,” IEEE/CAA Journal of Automatica Sinia, 2022, 9(8): 1476-1489.

• H. Liu, I. Chatterjee, M. C. Zhou, X. S. Lu and A. Abusorrah, “Aspect-based sentiment analysis: A survey of deep learning methods,” IEEE Trans. Computational Social Systems, 2020, 7(6): 1358-1375. 

• Z. Zhao, M. C. Zhou, S. Liu, X. Guo and H. Liu, “A lexicographic bi-objective scheduling problem from steel production systems,” IFAC-PapersOnLine, 2020, 53(5), pp. 158-163. 

• H. Liu, M. C. Zhou and Q. Liu, “An embedded feature selection method for imbalanced data classification,” IEEE/CAA Journal of Automatica Sinica, 2019, 6(3): 703-715. 

• X. S. Lu, M. C. Zhou, L. Qi and H. Liu, “Clustering-algorithm-based rare-event evolution analysis via social media data,” IEEE Trans. Computational Social Systems, 2019, 6(2): 301-310. 

• X. Lu, M. C. Zhou, H. Liu, and L. Qi, “A comparative study on two ground truth inference algorithms based on manually labeled social media data,” in Proc. 2019 IEEE 16th Int. Conf. Networking, Sensing, and Control (ICNSC) (pp. 436-441), Banff, Canada, 2019.

• J. Bi, S. Li, H. Yuan, Z. Zhao and H. Liu, “Deep neural networks for predicting task time series in cloud computing systems,” in Proc. 2019 IEEE 16th Int. Conf. on Networking, Sensing and Control (ICNSC), Banff, Canada, May. 9-11, 2019, pp. 86-91. 

• H. Liu, M. C. Zhou and X. S. Lu, “Weighted Gini index feature selection method for imbalanced data,” in Proc. 2018 IEEE 15th Int. Conf. on Networking, Sensing and Control (ICNSC), Zhuhai, China, March. 27-29, 2018, pp. 1-6.

• H Liu, M. C. Zhou, X. Guo, H. Liu. and T. Tang. “An Evaluation and Optimization Methodology for Efficient Power Plant Programs,” in Proc. 2018 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, Oct. 7-10, 2018, pp. 1416-1421. 

• H. Liu and M. C. Zhou, “Decision tree rule-based feature selection for large-scale imbalanced data,” in Proc. 2017 IEEE 26th Int. Conf. Wirless and Optical Communication Conference (WOCC), Newark, USA, April. 7-8, 2017, pp.1-6.