🔍 Machine Learning Researcher at Sony
🏫 Graduated from NTHU (National Tsing Hua University) and NYCU (National Yang Ming Chiao Tung University)
💡 Research interests: Recommender System, Natural Language Processing, Self-Supervised Learning, Explainable AI
📫 Contact me: wwdu.cs10@nycu.edu.tw
🚩 LinkedIn, Medium, Google Scholar, Website
-
Sony
- Tokyo, Japan
- https://sites.google.com/nycu.edu.tw/wwdu
- in/wei-wei-du
Block or Report
Block or report wwweiwei
Report abuse
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abusePinned
-
awesome-self-supervised-learning-for-tabular-data
awesome-self-supervised-learning-for-tabular-data PublicA collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
-
Pre-CoFactv2-AAAI-2023
Pre-CoFactv2-AAAI-2023 PublicOfficial Implementation for Pre-CoFactv2 (AAAI-23 DeFactify2.0 Workshop 1st Place)
-
wywyWang/Depression-Detection-LT-EDI-ACL-2022
wywyWang/Depression-Detection-LT-EDI-ACL-2022 PublicOfficial Implementation for NYCU_TWD LT-EDI@ACL 2022
-
wywyWang/CoachAI-Projects
wywyWang/CoachAI-Projects PublicOfficial research projects of badminton CoachAI
48 contributions in the last year
Day of Week | April Apr | May May | June Jun | July Jul | August Aug | September Sep | October Oct | November Nov | December Dec | January Jan | February Feb | March Mar | |||||||||||||||||||||||||||||||||||||||||
Sunday Sun | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Monday Mon | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Tuesday Tue | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Wednesday Wed | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Thursday Thu | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Friday Fri | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Saturday Sat |
Less
No contributions.
Low contributions.
Medium-low contributions.
Medium-high contributions.
High contributions.
More
Activity overview
Contributed to
wwweiwei/colored_pi_generator,
wwweiwei/awesome-self-supervised-learning-for-tabular-data,
wwweiwei/DoRA
and 3 other
repositories