Armando Fortes

I'm a graduate visiting student in the Department of Computer Science and Technology at Tsinghua University, in regard to an exchange program from my Master's studies at Instituto Superior Técnico, University of Lisbon. I'm focusing my studies on machine learning and distributed systems.

Before that, I was also an undergraduate student at Instituto Superior Técnico, where I studied Computer Science and Engineering. I'm interested in machine learning, natural language processing, optimization and computer vision.

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News
Education

Tsinghua University
Graduate Visiting Student
Department of Computer Science and Technology

Sep 2021 - July 2022

Instituto Superior Técnico, University of Lisbon
Bachelor of Science in Computer Science and Enginnering

Sep 2018 - July 2021

Selected Projects
XRDict: XLM-R Cross-Lingual Reverse Dictionary

Natural Language Processing Research Project @ Tsinghua University.

A reverse dictionary is a practical tool which allows you to find the words that best represent a given description of a concept. We propose a Cross-Lingual Reverse Dictionary, based on the pretrained multilingual language model XLM-RoBERTa.

[Code] [Report coming soon...] [Poster coming soon...]
Image Matching Challenge

CVPR 2022 | Kaggle Competition Silver Medal 🥈 (34th out of 642 teams).

Finding point-to-point correspondences between images, a crucial task for several 3D Computer Vision problems, such as Structure-from-Motion (SfM), Simultaneous Localization and Mapping (SLAM), and Visual Localization.

[Code] [Report] [Presentation]
TMALL Repeat Buyers Prediction

Alibaba Cloud | Tianchi Competition Top 0.7% solution 🏆 (51st out of 6803 teams).

Merchants run big promotions on particular dates to attract new buyers. However, there are many one-time deal hunters, and these promotions may have little long lasting impact on sales. Tmall.com made their accumulated user behaviour logs available and hosted a related competition, in order to identify who can be converted into repeated buyers.

[Code] [Report] [Presentation]
Petfinder.my - Pawpularity Contest

Kaggle Competition Bronze Medal 🥉 (205th out of 3537 teams).

Millions of stray animals are alone on the streets or living in shelters, waiting for a new home. With the aim of better understanding the impact of pet photo features on their popularity, PetFinder.my designed the metric Pawpularity and hosted a Kaggle competition.

[Code] [Report] [Poster]

Website inspired from here.