Lihua (Lisa), He Email: lihua.he@mpu.edu.mo Office: N41A, Wui Chi Building, Faculty of Applied Sciences, Macao Polytechnic University "Courage is grace under pressure"

About me

Hi, I am a Ph.D. candidate in Computer Applied Technology at Macao Polytechnic University (MPU) , advised by Dr. Wuman Luo from MPU. I received my B.Sc. degree in Computer Science and Technology in June 2017 from Yunnan Minzu University (YMU). In the same year, I was admitted to study for a M.Sc. degree in Mathematics from YMU without entrance examination. My research interest is spatial-temporal data mining.

Education Background

• Macao Polytechnic University, PhD in Computer Applied Technology, 2020-2023 (Expected)
• Oxford Machine Learning Summer School, 2022-2022
• The 3th Tong Lu Ren International Summer Lecture (Transportation Engineering) of TongJi University, 2021-2021
• Yunnan Minzu University, MSc in Mathematics, 2017-2020
• Yunnan Minzu University, BEng in Computer Science and Technology, 2013-2017

Selected Honours

1. Macau Association of Banks Scholarship (澳门银行公会奖学金，Top 1%), MPU, 2021-2022
2. Macau Association of Banks Scholarship (澳门银行公会奖学金，Top 1%), MPU, 2021-2020
3. Merit Student of Yunnan Province (云南省级三好学生，Top 1%), YMU, 2020
4. Provincial scholarship for Postgraduates (云南省政府奖学金，Top 1%), YMU, 2019
5. First-class Scholarships for postgraduate studies (一等研究生学业奖学金，Top 2%), YMU, 2018, 2017
6. Merit Student of Yunnan Minzu University (校级三好学生), YMU, 2016, 2015

Publications

1. PSformer: Periodic-aware Semantic Transformer for Traffic Prediction

   Lihua He, Ziyue Yu, Wuman Luo, Accepted by The 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2025), (CCF-C Level Conference).

2. ST-RLNet: Spatio-Temporal Representation Learning for Multi-Step Traffic Flow Prediction

   Lihua He, Si Shi, Dian Zhang, Wuman Luo, Neurocomputing, 2025. [JCR Q1, Impact Factor: 6.5]

3. A Highly Nonlinear Survival Network for Hospital Readmission Prediction of Cardiac Patients

   Yuejing Zhai, Yiping Li, Lihua He, Wuman Luo, 10th International Conference on Internet of Things, Big Data and Security, 2025.

4. FGRL-Net: Fine-Grained Personalized Patient Representation Learning for Clinical Risk Prediction based on EHRs

   KaKit Chio, Wenhao Zhu, Lihua He, Dian Zhang, Xu Yang, Wuman Luo, The 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2023), (CCF-C Level Conference) [Best Paper Award Selections].

5. 3D-ConvLSTMNet: A Deep Spatio-Temporal Model for Traffic Flow Prediction

   Lihua He, Wuman Luo, 23rd IEEE International Conference on Mobile Data Management (MDM), IEEE, 2022. (CCF-C Level Conference)

6. Deep Learning Hybrid Models for COVID-19 Prediction

   Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau, Journal of Global Information Management [SSCI JCR Q2, Impact Factor: 3.5] (Accept rate: 17%)

7. Deep Learning for COVID-19 Prediction based on Blood Test

   Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau, 6th International Conference on IoTBDS, 2021 [Best Student Paper Award]

Teaching Experience

• COMP8122 Selected Topics in Big Data and Smart Society, MPU, 2022/2023 (TA)
• COMP6122 Introduction to Big Data, MPU, 2022/2023 (TA)

Invited Presentations

• When AI Meets Big Data: Spatio-Temporal Data Mining, Macao Polytechnic University, 2021