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WELCOME

This is the Linhao Luo (Raymond Luo)’s personal page.

I am interested in Deep Learning, Machine Learning, Graph Representation Learning, Recommender System, Security.

Education:

  • Bachelor, Harbin Institute of Technology, Shenzhen, China, 2016-2021
  • Master of Philosophy, Monash University, Melbourne, Australia, 2022 - Now

Email: luolinhao1998@gmail.com

WORK EXPERIENCE

Tencent Holdings Ltd Shenzhen, China

Intern in financial precision recommendation group January 2020 - May 2020

Alibaba Hangzhou, China

Research Intern August 2021 - December 2021

RESEARCH EXPERIENCE

Research Assistant in University of Miami Miami, America

Convolution neural network transfer for automated glaucoma detection July 2018 - Augest 2018

Summer Research in University of New South Wales Sydney, Australia

Heterogenous Graph Representation Learning. Mentored by Pro. Xuemin Lin, Dr. Yixiang Fang

July 2020 - September 2020

PUBLICATION

DAGNN: Demand-aware Graph Neural Networks for Session-based Recommendation
Liqi Yang, Linhao Luo, Xiaofeng Zhang, Fengxin Li, Xinni Zhang, Zelin Jiang and Shuai Tang, International Conference on Research and Development in Information Retrieval (SIGIR 2022)

DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating

Linhao Luo, Xiaofeng Zhang, Xiaoyun Chen, Kai Liu, Dan Peng, Xiaofei Yang, Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-021-06749-2

CP-GNN: A Software for Community Detection in Heterogeneous Information Networks

Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang, Software Impacts, 2021, 10: 100169.

Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model.

Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang, In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM 2021), pp. 1170-1180.

Correlated Wasserstein Autoencoder for Implicit Data Recommendation.

Yinlin Yao, Jinbing Zhong, Xiaofeng, Zhang, Linhao Luo, In 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2020), pp. 417-422.

A Motif-based Graph Neural Network to Reciprocal Recommendation for Online Dating

Linhao Luo, Kai Liu, Dan Peng, Yaolin Ying, and Xiaofeng Zhang 27th International Conference on Neural Information Processing (ICONIP 2020)

Rrcn: A reinforced random convolutional network based reciprocal recommendation approach for online dating

Luo L, Yang L, Xin J, et al. arXiv preprint arXiv:2011.12586.

Structure Matters: Towards Generating Transferable Adversarial Images

Dan Peng, Zizhan Zheng, Linhao Luo and Xiaofeng Zhang 24th European Conference on Artificial Intelligence (ECAI 2020)

Deepbot: A Deep Neural Network Based Approach for Detecting Twitter Bots

Linhao Luo, Xiaofeng Zhang, Xiaofei Yang and Weihuang Yang IOP Conference Series: Materials Science and Engineering, volume 719, number 1

PortraitAI: A Deep Learning Based Approach for Generating User Portrait for Online Dating Website

Linhao Luo, Junfeng An, Yijie Jin, Xiaofeng Zhang, Kai Liu 8rd National Social Media Processing (SMP 2019)

AWARD

National College Student Information Security Contest

National First Prize July 2019

Realworld CTF 2018 Final

International 16th Places November 2018

XIPU CUP Information Security Triathlon

Second Prize May 2018

Shanghai College Student Information Security Competition

Third Prize November 2017

Guangdong Province Innovation and Entrepreneurship Competition

Third Prize October 2017

TECHNICAL STRENGTHS

Programming: Python, C, C++, PHP, JavaScript
Deep learning: Tensorflow, Pytorch
Database: Mysql, Hive, Neo4j


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