Resul Tugay

I am a lecturer at Gazi University. If you want to work on ML, NLP or Recommender Systems and understand this and this and able to code them, please contact me.

I obtained my PhD under supervision of Prof. Wenfei Fan at the The University of Edinburgh in the School of Informatics. I obtained the MSc in Computer Science from the Faculty of Computer and Informatics Engineering, Istanbul Technical University, working with Prof. Sule Gunduz Oguducu. My undergrad was also in computer engineering from Karadeniz Technical University. I'm working on entity representation and learning on both relational and graph-structured data. I also work on Large Language Models.

I am interested in ML/DL and NLP in general. I have experience on Recommender Systems and Ranking. Also, l love camping and nature but, still draw trees upside-down!

News

Aug 2024	I am a program committee member of AAAI 2025 and reviewer of ICLR 2025
July 2024	Our paper, Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs , has been accepted to ECML PKDD 2024
July 2024	I gave a talk at Gazi University, Turkey
May 2024	Our paper, Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks, has been accepted to ICMLT 2024
May 2024	Our paper, A GNN Model with Adaptive Weights for Session-Based Recommendation Systems, has been accepted to ICMLT 2024
Dec 2023	I have started a new position as a scientific advisor to BTS Group
Dec 2023	I gave a talk at Istanbul Technical University, Turkey
Nov 2023	I started as a lecturer at Gazi University
Oct 2023	I reviewed ICLR papers, Personalized Systems and Language Models
Aug 2023	I passed my PhD viva with minor corrections
Aug 2023	I reviewed NeurIPS papers, Recommender Systems and Language Models
Mar 2023	Our paper, Learning and Deducing Temporal Orders, has been accepted to VLDB 2023
Jan 2023	I interviewed with Google (Project Matching Stage, Hiring Freeze)
Dec 2022	I interviewed with Amazon
Aug 2022	I have started my internship at TikTok London as an ML Research intern
Aug 2022	I have successfully finished my internship at Huawei London
May 2022	I have joined Huawei London and l am working on Multi Domain Recommendation System
Mar 2022	I interviewed with Meta Core Machine Learning AI Team
Mar 2022	I will be joining Huawei London as an ML Research intern between May-Aug 2022
Nov 2021	Our paper, Linking Entities across Relations and Graphs, has been accepted to ICDE 2022
Nov 2021	I became a research assistant at The University of Edinburgh
Sep 2020	I was nominated to be an Apple AI PhD Fellow as one of the 5 students by The University of Edinburgh

Publications

Learning and Deducing Temporal Orders
Wenfei Fan, Resul Tugay, Yaoshu Wang, Min Xie, Muhammad Asif Ali, VLDB, 2023
[paper][slides][code]

Linking Entities across Relations and Graphs Collab. with alibaba.com
Wenfei Fan, Liang Geng, Ruochun Jin, Ping Liu, Resul Tugay, Wenyuan Yu, ICDE, 2022
Authors are alphabetically ordered by their surnames
[paper][video][slides][code]

A deep hybrid model for recommendation systems Collab. with kariyer.net
Muhammet Çakır, Şule Gündüz Öğüdücü, and Resul Tugay, AIAI, 2019
[paper] [code]

Hotel Recommendation System Based on User Profiles and Collaborative Filtering Collab. with etstur.com
Bekir Berker Türker, Resul Tugay, Ipek Kızıl, Şule Gündüz Öğüdücü, UBMK, 2019
[paper] [code belongs to the company]

Ranky: An Approach to Solve Distributed SVD on Large Sparse Matrices
Resul Tugay, Şule Gündüz Öğüdücü , ICSCEE, 2018
[paper] [code]

Distributed Bipartite Graph Clustering
Resul Tugay, MSc Thesis, 2018
[paper] [code]

Demand Prediction using Machine Learning Methods and Stacked Generalization Collab. with n11.com
Resul Tugay, Şule Gündüz Öğüdücü , DATA, 2017
[paper] [code belongs to the company]

Teaching

Data Mining, Gazi University

Introductory Applied Machine Learning(Grad Level), Gazi University

Introductory Applied Machine Learning, The University of Edinburgh
Leading Teaching Assistant, Hiroshi Shimodaira & Tiejun Ma, Spring 2021

Introductory Applied Machine Learning, The University of Edinburgh
Marker & Exam Marker, Chris Williams & Amos Storkey, Fall 2019

Operating Systems, The University of Edinburgh
Teaching Assistant, Tom Spink & Antonio Barbalace, Spring 2020 & 2021

Software Engineering, The University of Edinburgh
Marker, Cristina-Adriana Alexandru, Fall 2019

Introduction to Computer Science and Eng,Istanbul Technical University
Teaching Assistant, Ayşe Tosun, Spring 2018

Object-Oriented Modelling & Design,Istanbul Technical University
Teaching Assistant, Feza Buzluca, Spring 2017 & 2018

Learning from Data,Istanbul Technical University
Teaching Assistant, Yusuf Yaslan, Spring 2017

Operating Systems,Istanbul Technical University
Teaching Assistant, Etaner Uyar, Spring 2017 & 2018

Formal Languages and Automata,Istanbul Technical University
Teaching Assistant, Tolga Ovatman, Spring 2016

Database Management Systems,Istanbul Technical University
Teaching Assistant, Şule Gündüz Öğüdücü & Turgut Uyar, Spring 2016 & 2017