• I am now a Senior Data Scientist/Product Owner at adidas Amsterdam, the Netherlands. With extensive (10 years) industrial work, research, and internship experience in multiple domains of data science, I have been doing different projects in recommender systems, computer vision, multi-modality, medical image/clinical record processing, and supply chain management.

• I hold a PhD in Computer Science with a focus on recommender systems from the Multimedia Computing Group, Delft University of Technology of TU Delft, the Netherlands, supervised by Dr. Julián Urbano and Prof. Alan Hanjalic. As a researcher I authored over 10 papers on recommender systems and machine learning.

• I received my Master’s degree with cum laude from Tianjin University, China in 2017. My master thesis was about computer-aided diagnosis of breast cancer MR images, supervised by Prof. Wei Lu. Prior to that, I received my B.E. degree from Zhejiang University, China in 2014 under the supervision of Prof. Huimin Yu and Prof. Huiming Tang.

• My up-to-date CV is available here.

Recent News

• December, 2023. PhD thesis abstract accepted to SIGIR Forum.
• November 14, 2023. Thesis defended, PhDone!
• Jun 2023, “Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning” accepted to ICTIR 2023 as a full paper.
• April 14, 2021. “New Insights into Metric Optimization for Ranking-based Recommendation” accepted to SIGIR 2021 as a full paper.
• October 16, 2020. “Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users” accepted to WSDM 2021.
• October 2 - October 7, 2018. I attented the 12th ACM Conference on Recommender Systems (RecSys’18) in Vancouver, BC, Canana and presented my paper on the Doctoral Symposium.
• August 27 - August 31, 2018. I attended the 12th Russian Summer School in Information Retrieval (RuSSIR’18) and presented my preliminary results with a poster in Kazan, Russia.
• July 8, 2018. Doctoral symposium paper accepted by ACM Conference on Recommender Systems. See you in Vancouver!
• September 3, 2017. I started my PhD at Delft University of Technology (TU Delft), the Netherlands.
• July 25 - August 3, 2017. I attended the 2017 Duke-Tsinghua Machine Learning Summer School – Deep Learning for Big Data in Kunshan, China.
• July 2017. I had a full research paper titled “Adaptive Ensemble Undersampling-Boost: a novel learning framework for imbalanced data” accepted by Journal of Systems and Software.
• March 2017. I had a full research paper titled “A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning” accepted by Computers in Biology and Medicine.
• February 2017. I joined Sensetime Group as an R&D intern in computational advertisement for the next 4 months.
• June 2017. I joined the National Laborotary of Pattern Recognition, China Academy of Sciences as a research intern in medical data mining for the next 3 months with 4 days per week.
• March 2017. I joined Toshiba Medical Systems China (now Canon Medical Systems） as an R&D intern in medical image algorithms for the next 6 months with 3 days per week.
• June 2017. I joined the National Laborotary of Pattern Recognition, China Academy of Sciences as a research intern in medical data mining for the next 3 months for 4 days per week.
• November 2015. I had a paper (in Chinese) titled “Application of machine learning algorithms in breast tumor detection” accepted by Computer Engineering and Science.

Miscellaneous

During my leisure time, I love traveling and experiencing this amazing world. Up till now I have been to 15 different countries and this number will keep improving. I am also a good badminton and table tennis player. Besides, I am a hardcore fan of Manchester United for more than 20 years. Glory Glory Man United!