ChenXiang

Ph.D. student in KAUST

xiang.chen (at) kaust (dot) edu (dot) sa

[CV]

• # About Me

  🎓I am now a Ph.D. student of Geospatial Statistics and Health Surveillance (GeoHealth) research group in King Abdullah University of Science and Technology (KAUST)

  I have obtained the M.Sc degree in Jun. 2022 and the B.Eng degree in Jun.2020 in Computer Science and Technology at Harbin Institute of Technology(HIT).

  My major is computer science and technology, and my main field is data science and big data.

  Languages: Mandarin (Native), English (Fluent: IELTS-7.5(reading 9.0)), Japanese(Intermediate), Arabic(Beginner: A1) and some other languages.

# Research Interests

🔭 Reseach-wise, I mainly focus on:

• Data science and Statistics
• Artificial intelligence in medicine
• ML Interpretability or XAI(Explainable Artificial Intelligence)
• Automated Machine Learning(AutoML)
• ...

😄 I am open to:

• collaboration opportunities
• research internships

# PUBLICATIONS

• Chunnan Wang, Xiang Chen, Junzhe Wang, Hongzhi Wang. ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework.CVPR, 2022: 6563-6572.[Link]
• Xiang Chen, Jiamu Xie, Zixin Wang, Bohui Shen, Zhixuan Zhou. How we express ourselves freely: Censorship, self-censorship, and anti-censorship on a Chinese social media. iConference 2023: Information for a Better World: Normality, Virtuality, Physicality, Inclusivity.[Link]
• Xiang Chen, Hongzhi Wang. Data-Driven Prediction of Foodborne Disease Pathogens. In:Data Science. ICPCSEE 2021. Communications in Computer and Information Science, vol 1451. Springer, Singapore. [Link]
• Xinyue Shao, Xiang Chen, Xiao Zhu, Hongzhi Wang. CUBE: A Causal Intervention-based Counterfactual Interpretation Method. in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2023.3322126.
• Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang. TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model.(submitted to journal Pattern Recognition, now under review)[Link]
• Zixuan Han, Kangjun Peng, Jianing Mi, Xiang Chen.Research on Shrinking City Identification Based on Unsupervised Learning Method--A Case Study of 9 Prefecture-Level Cities in Guangdong-Hong Kong-Macao Greater Bay Area.Journal of Public Administration,2020,13(02):76-93+196 [Link]
• Z Shi, Z Zhou, A Choudhry, M Wei, X Chen, B Shen. Ethical concerns of COVID-19 contact tracing: a narrative review. 25th International Conference on Human-Computer Interaction,2023[Link]
• Chunnan Wang, Junzhe Wang, Xiang Chen, Hongzhi Wang$^{\star}$, Xintong Song. CTR CASH Based on Self-Adaptive Meta-Learning and Diversified Sampling.(under review)

# Professional Experience

# Microsoft Research Asia

Spot VM eviction prediction

Dec 2021 - Apr 2022 , Beijing

Intern of DKI(Data, Knowledge, Intelligence) group

• Participated in code development and testing of the auto-ML time series model search package ‘ts-lib’, which can help users choose a best fit model and corresponding parameters, handle missing data and identity multiple time series

# Research Experience

# Trajectory prediction based on AutoML and FL

Oct 2020 - Sept 2021 Research Assistant to Dr. Hongzhi Wang

Massive Data Computing Research Center, HIT

• Built an effective trajectory prediction(TP) search space by analyzing and summarizing the existing works
• Designed a relation-sequence-aware search strategy
• Found appropriate federated training methods to respectively support the TP model search and final model training under the Federated Learning(FL) framework

# Epidemiological Investigation Project of Food-Safety Accident

Dec 2019 – Jun 2020 Team member

Disease Control and Prevention Center of Heilongjiang Province

• Established a predictive model for the pathogenic factor of foodborne diseases
• Paved the way for early and effective patient identification and treatment
• Provided a theoretical and practical basis for the completion of data information collection function, prediction and discrimination function, and laboratory test data entry function.

# Shrinking City Identification Based on Unsupervised Learning

Nov 2018 – Apr 2019 Team member and technical support

School of Economics and Management, HIT

• Established an identification system composed of indicators reflecting the features of shrinking cities
• Used clustering algorithms and factor analysis to classify cities
• Preliminarily explored the reasons for the shrinking cities through qualitative analysis

# Exchange Experience

• China University of Science and Technology

  Jul 2018, Hefei, China

  Participated in the “Top-notch Student Exchange Meeting in Basic Subjects”

• University of Applied Sciences and Arts Northwestern Switzerland

  Oct 2019, Baden, Switzerland

  Participated in the iPOLE project

# Awards & Honors

# Honors

• [2022&2020] Excellent Graduate of Harbin Institute of Technology
• [2020] Honour Graduate of Honour School of Harbin Institute of Technology
• [2019&2018] "Top Ten Volunteers for School Achievement Assistance"
• [2021&2019&2018] "Excellent Student”
• [2016 Spring-2019 Spring] People’s Scholarships for undergraduate students (7 times)
• [2021&2020] First-class Academic scholarship for graduate students (2 times)

# Contests

• [2021] Third Prize of the 12th Graduate Electronic Design Competition
• [2019] Second Prize of the 4th College Student Academic English Vocabulary Competition
• [2019] Second Prize of the Undergraduate Academic Forum
• [2019] Third Prize in Huawei IoT Project
• [2019] Excellence Award in National University Data Innovation Driven Contest
• [2018] First Prize of Heilongjiang Province in Mathematical Modeling for National College Students
• [2018] Third Prize in Mathematical Modeling Competition for College Students in the Three Provinces of Northeast China
• [2018] S Prize in MCM/ICM American Mathematical Modeling Competition
• [2017] First prize of the 12th Heilongjiang Province College Student Program Design Competition
• [2017] Third Prize in School programming competition