Zhankui He (@AaronHeee)
github

AaronHeee

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  • Stars
    star
    379
  • Global Rank 73,521 (Top 3 %)
  • Followers 138
  • Following 55
  • Registered about 8 years ago
  • Most used languages
    Python
         76.9 %
    HTML
         15.4 %
    JavaScript
         7.7 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 18,157
  • Country Ranking
    Python
         3,049
    HTML
         4,180

Top repositories

1

MEAL

Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019
Python
174
star
2

Neural-Attentive-Item-Similarity-Model

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018
Python
141
star
3

LLMs-as-Zero-Shot-Conversational-RecSys

Evaluation data, LLMs query code and results for "Large Language Models as Zero-Shot Conversational Recommenders" on CIKM 2023.
Python
62
star
4

FDU-Recommender-Systems-for-Douban-Movie

Douban Movies Recommendation based on NeuralFM with Tensorflow. This is a project in Social Network Analysis@FDU.
HTML
28
star
5

Bundle-MCR

Towards Conversational Bundle Recommendation
Python
16
star
6

LOCKER

Locally Constrained Self-Attentive Sequential Recommendation
Python
9
star
7

Query-SeqRec

PyTorch Implementation of Query-Aware Sequential Recommendation (CIKM'22)
Python
7
star
8

APR

Adversarial Model for MF-BPR
Python
4
star
9

Generative-Discriminative-Persona-Classification-Model

Generative & Discriminative-Persona-Classification-Model via PyTorch, working with AuCson and RshCaroline.
Python
3
star
10

RecFormer

Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.
Python
2
star
11

ScholarDB

A task/questionaire managing&analyzing system using Django, Echarts, Javascript and Mysql; Course project of Database System, by Xisen Jin and me.
JavaScript
1
star
12

aaronheee.github.io

personal website
HTML
1
star
13

FDU-Stereotype-Analysis-in-NetEase-News-Comments

Stereotype Analysis in NetEase News Comments with Text Mining.
Python
1
star