News


19 Dec. 2022
One full paper "Causal Inference for Knowledge Graph based Recommendation" is accepted by IEEE TKDE.

18 Oct. 2022
One full paper "Multi-queue Momentum Contrast for Microvideo-Product Retrieval" is accepted by ACM WSDM 2023.

13 Oct. 2022
Our team achieve Third Place Winner of Conversational Head Generation Challenge held in conjunction with ACM Multimedia 2022.

30 Sep. 2022
One full paper "Dual Preference Distribution Learning for Item Recommendation" is accepted by ACM TOIS.

15 July 2022
One full paper "DBiased-P: Dual-Biased Predicate Predictor for Unbiased Scene Graph Generation" is accepted by IEEE TMM.

01 July 2022
Two full papers are accepted by ACM MM 2022.

26 April 2022
Our book Recommender Systems Handbook (3rd Edition, 2022) is published on SpringLink, the best book currently in the RecSys community. We have had the privilege of providing one chapter (RSHB'22-MM) to the handbook.

21 April 2022
One full paper "Siamese Alignment Network for Weakly Supervised Video Moment Retrieval" is accepted by IEEE TMM.

31 March 2022
One full papers "Privacy-Preserving Synthetic Data Generation for Recommendation Systems" is accepted by ACM SIGIR 2022.

31 March 2022
One full papers "HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation" is accepted by IEEE TKDE.

26 Dec. 2021
One full papers "DualGNN: Dual Graph Neural Network for Multimedia Recommendation" is accepted by IEEE TMM.

21 Dec. 2021
We organize a special session "User Intent Understanding towards Sophisticated Multimedia Search" in ICME 2022.

11 Dec. 2021
One full papers "Modality-Oriented Graph Learning Toward Outfit Compatibility Modeling" is accepted by IEEE TMM.

03 July 2021
Our full paper "Contrastive Learning for Cold-Start Recommendation" is accepted by ACM MM 2021.

03 July 2021
Our full paper "Selective Dependency Aggregation for Action Classification" is accepted by ACM MM 2021.

03 July 2021
Our full paper "Hierarchical User Intent Graph Network for Multimedia Recommendation" is accepted by IEEE Transactions on Multimedia.

25 July 2020
Our full paper "Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback" is accepted by ACM MM 2020.

25 July 2020
Our full paper "What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation" is accepted by ACM MM 2020.

25 July 2020
Our full paper "Personalized Item Recommendation for Second-hand Trading Platform" is accepted by ACM MM 2020.

30 June 2020
I have successfully got the PhD degree! My thesis is about the complex relationship modeling based micro-video representation learning.

1 July 2019
Our full paper "MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video" is accepted by ACM MM 2019.

1 July 2019
Our full paper "Personalized Hashtag Recommendation for Micro-videos" is accepted by ACM MM 2019.

20 June 2019
Our full paper "Neural Multimodal Cooperative Learning Towards Micro-video Understanding" is accepted by IEEE Transactions on Image Processing.

15 November 2018
I will be as an intern student at NExT++ lab, School of Computing, NUS in Dec. 2018, supervised by Prof. Tat-Seng Chua and Dr. Xiang Wang

Yinwei Wei 

NExT++ iLEARN
National University of Singapore
Shandong University

Email:  weiyinwei AT hotmail.com
Google ScholarGitHub

Yinwei is a research fellow in NExT++, School of Computing, National University of Singapore. His research interests include multimodal computing, information retrieval, and recommender system, particular in multimedia personalized recommendation. Moreover, he has served as the PC member for ACM MM, AAAI, WSDM and IJCAI conference, and the invited reviewer for prestigious journals including IEEE TPAMI, TIP, TKDE, and TMM.

If you are a Undergraduate / Master / PhD student who is interested in doing research/project with me, please contact me via email with your CV. My current email address is weiyinwei AT hotmail.

Experiences

National University of Singapore
Research Fellow, Jun. 2020 --
Supervisor: Prof. Tat-Seng Chua
Shandong University
Doctor in Computer Science and Technology, Sep. 2017 - Jun. 2020
Supervisor: Prof. Liqiang Nie
National University of Singapore
Intern Student, Dec. 2018 - Jun. 2020
Advisior: Prof. Tat-Seng Chua & Dr. Xiang Wang
Tianjin University
Master in Computer Science, Sep. 2011 - Jan. 2014
Advisor: Prof. Shiguang Liu

Publications


In the Year of 2022:


pdf
Causal Inference for Knowledge Graph based Recommendation
Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li & Tat-Seng Chua
IEEE Transactions on Knowledge and Data Engineering   • Codes&Data   

pdf
Multi-queue Momentum Contrast for Microvideo-Product Retrieval
Yali Du Yinwei Wei, Wei Ji, Fan Liu, Xin Luo & Liqiang Nie
ACM Web Search and Data Mining Conference   • Codes&Data   

pdf
Breaking Isolation: Multimodal Graph Fusion for Multimedia Recommendation by Edge-wise Modulation
Feiyu Chen, Junjie Wang, Yinwei Wei, Hai-Tao Zheng & Jie Shao
ACM Multimedia Conference 2022 (Full)   • Codes&Data   

pdf
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation
Xiao Wang, Tian Gan, Yinwei Wei, Jianlong Wu, Dai Meng & Liqiang Nie
ACM Multimedia Conference 2022 (Full)   • Codes&Data   

pdf
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie & Mohan Kankanhalli
ACM SIGIR Conference on Research and Development in Information Retrieval 2021 (Full)   • Codes&Data   

pdf
Multimedia recommender systems: Algorithms and challenges
Yashar Deldjoo, Markus Schedl, Bal√°zs Hidasi, Yinwei Wei & Xiangnan He
Recommender Systems Handbook   • Codes&Data   

pdf
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation
Han Liu, Yinwei Wei, Jianhua Yin & Liqiang Nie
IEEE Transations on Knowledge and Data Engineering   • Codes&Data   

pdf
DBiased-P: Dual-Biased Predicate Predictor for Unbiased Scene Graph Generation
Xianjing Han, Xuemeng Song, Xingning Dong, Yinwei Wei, Meng Liu & Liqiang Nie
IEEE Transactions on Multimedia   • Codes&Data   

pdf
Siamese Alignment Network for Weakly Supervised Video Moment Retrieval
Yunxiao Wang, Meng Liu, Yinwei Wei, Zhiyong Cheng, Yinglong Wang & Liqiang Nie
IEEE Transactions on Multimedia   • Codes&Data   

pdf
Dual Preference Distribution Learning for Item Recommendation
Xue Dong, Xuemeng Song, Na Zheng, Yinwei Wei, & Zhongzhou Zhao
ACM Transactions on Information Systems   • Codes&Data   

pdf
Joint Answering and Explanation for Visual Commonsense Reasoning
Zhenyang Li, Yangyang Guo, Kejie Wang, Yinwei Wei, Liqiang Nie & Mohan Kankanhalli
Under review   • Codes&Data   

pdf
Semantic-aware Modular Capsule Routing for Visual Question Answering
Yudong Han, Jianhua Yin, Jianlong Wu, Yinwei Wei & Liqiang Nie
Under review   • Codes&Data   
In the Year of 2021:


pdf
Contrastive Learning for Cold-Start Recommendation
Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li & Tat-Seng Chua
ACM Multimedia Conference 2021 (Full)   • Codes&Data   

pdf
Hierarchical User Intent Graph Network for Multimedia Recommendation
Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui & Tat-Seng Chua
IEEE Transations on Multimedia   • Codes&Data   

pdf
DualGNN: Dual Graph Neural Network for Multimedia Recommendation
Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song & Liqiang Nie
IEEE Transactions on Multimedia   • Codes&Data   

pdf
Modality-Oriented Graph Learning Toward Outfit Compatibility Modeling
Xuemeng Song, Shiting Fang, Xiaolin Chen, Yinwei Wei, Zhongzhou Zhao & Liqiang Nie
IEEE Transactions on Multimedia   • Codes&Data   

pdf
Selective Dependency Aggregation for Action Classification
Yi Tan, Yanbin Hao, Xiangnan He, Yinwei Wei, & Xun Yang
ACM Multimedia Conference 2021 (Full)   • Codes&Data   
In the Year of 2020:


pdf
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie & Tat-Seng Chua
ACM Multimedia Conference 2020 (Full)   • Codes&Data   

pdf
What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation
Jiang Hao, Wenjie Wang, Yinwei Wei, Zan Gao, Yinglong Wang & Liqiang Nie
ACM Multimedia Conference 2020 (Full)   • Codes&Data   

pdf
Personalized Item Recommendation for Second-hand Trading Platform
Xuzheng Yu, Tian Gan, Yinwei Wei, Zhiyong Cheng & Liqiang Nie
ACM Multimedia Conference 2020 (Full)   • Codes   

pdf
MGAT: Multimodal Graph Attention Network for Recommendation
Zhulin Tao, Yinwei Wei, Xiang Wang, Xiangnan He, Xianglin Huang & Tat-Seng Chua
Information Processing & Management   • Codes   
In the Year of 2019:


pdf
Neural Multimodal Cooperative Learning Towards Micro-video Understanding
Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin & Baoquan Chen
IEEE Transactions on Image Processing   • Codes&Data   

pdf
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong & Tat-Seng Chua
ACM Multimedia Conference 2019 (Full)   • Codes&Data   

pdf
Personalized Hashtag Recommendation for Micro-videos
Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu & Liqiang Nie
ACM Multimedia Conference 2019 (Full)   • Codes&Data   

Honors

Outstanding Doctoral Theis Reward in ACM SIGMM China, 2021

Outstanding Doctoral Theis Reward in Shandong Conference on Artificial Intelligence, 2021

Outstanding Reviewer Reward in IEEE Transactions on Multimedia

First Class Doctoral Academic Scholarship at Shandong University, 2019

Huawei Scholarship at Shandong University, 2019

Doctoral Academic Scholarship at Shandong University, 2018

ACM MM 19 Student Travel Grant, 2019

Tianjin University Scholarship, 2011-2013

Patent

A neural network based multi - modal cooperative learning method and device zl201810697764.9   
- Yinwei Wei, Xiang Wang, Xuemeng Song, Yinglong Wang & Liqiang Nie
multi-modal graph convolution network based personalized recommendation method and system of micro-video zl201910606172.6   
- Yinwei Wei, Xiang Wang, Liqiang Nie, Meng Liu, Weifeng Liu, Zan Gao & Wei Liu
A micro-video hashtag personalized recommendation method and system zl201910606153.3   
- Yinwei Wei, Liqiang Nie, Zhiyong Cheng, Xuzheng Yu, Da Cao, Tian Gan & Wei Liu

Invited Talks

Causal Inference for Knowledge Graph based Recommendation   
- Virtual, Communication University of China, August 27, 2022
Contrastive Learning for Cold-Start Recommendation   
- Chengdu, China, October 22, 2021
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback   
- Seattle, United States, October 13, 2020
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video   
- Nice, France, October 23, 2019
Personalized Hashtag Recommendation for Micro-videos   
- Nice, France, October 23, 2019