Yangyang Guo (@guoyang9)
github

guoyang9

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  • Stars
    star
    617
  • Global Rank 48,086 (Top 2 %)
  • Followers 86
  • Registered almost 7 years ago
  • Most used languages
    Python
         100.0 %
  • Location πŸ‡ΈπŸ‡¬ Singapore
  • Country Total Rank 380
  • Country Ranking
    Python
         92

Top repositories

1

NCF

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
Python
337
star
2

BPR-pytorch

A pytorch implementation for BPR (Bayesian Personalized Ranking).
Python
135
star
3

NFM-pyorch

A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.
Python
39
star
4

A3NCF

Implementation for Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews.
Python
25
star
5

ALSTP

Implementation for our TOIS paper --- Attentive Long Short-Term Preference Modeling for Personalized Product Search.
Python
17
star
6

UnifER

Official implementation for the MM'22 paper.
Python
11
star
7

PELA

PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]
Python
10
star
8

TranSearch

Implementation for our MM'18 paper --- Multi-modal Preference Modeling for Product Search.
Python
9
star
9

LXMERT-VQACP

This is an adaptation of LXMERT on both VQA-CP and VQA dataset.
Python
6
star
10

AdaVQA

Implementation for our IJCAI-21 paper --- AdaVQA: Overcoming Language Priors with Adapted Margin Loss.
Python
6
star
11

Relation-Fact-Detector

The Relation Fact Detector in 'R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering'.
Python
6
star
12

vqa-prior

Implementation for our SIGIR 2019 paper --- Quantifying and Alleviating the Language Prior Problem in Visual Question Answering.
Python
6
star
13

class-imbalance-VQA

Implementation for our TIP paper - Loss Re-scaling VQA: Revisiting the Language Prior Problem from a Class-imbalance View.
Python
5
star
14

ELIP

Efficient language image pre-training
Python
2
star
15

CF-PPS

Personalized product search with collaborative filtering and some typical baselines.
Python
1
star
16

UNK-VQA

A VQA dataset that includes unanswerable questions [TPAMI 2024].
1
star