News


14 Jan2021
One paper about Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning was accepted by 2021DASFAA.


21 Mar2020
Two full papers about POI Recommendation and User Identity Linkage were accepted by 2020IJCNN.

25 Jan2020
A full paper FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation was accepted by 2020ICC.

21 Mar2019
One paper HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation is in the Best Student Paper Award Finalists.

21 Mar2019
Two full papers about POI Recommendation were accepted by 2019ICONIP.

21 Mar2019
Two full papers about User Identity Linkage were accepted by 2019ICONIP.

21 Mar2019
A full paper about Character Recognition was accepted by 2019ICONIP.

7 Mar2019
A full paper Personalized Point-of-Interest Recommendation on Ranking with Poisson Factorization was accepted by 2019IJCNN.

30 Mar2018
A full paper Next Check-ins Prediction via History and Friendship on Location-Based Social Networks was accepted by 2018MDM.

Copyright@Webpage template is from Weinan Zhang.

Yijun Su 

AI Researcher

University of Chinese Academy of Sciences

Beijing, China

Email: suyijun.ucas[AT]gmail.com

Bio


I received my Ph.D. degree in Artificial Intelligence from University of Chinese Academy of Sciences (UCAS), under the supervision of Prof. Ji Xiang in 2020. During my Ph.D., I mainly researched Technologies of Point-of-Interest Recommendation on Location-based Social Network. My current research interests span Spatio-Temporal Recommendation, Spatio-Temporal Data Mining, Knowledge Graphs, Graph Neural Network, Federated Learning. If you’d like to know more about my work or explore opportunities for collaboration, please get in touch!


[Research Interests] [Research DataSets] [Selected Publications] [Academic Services] [Talks] [Awards and Honors]

Research Interests


  Spatio-Temporal AI  : Spatio-Temporal Recommendation and Spatio-Temporal Data Mining
  Graph Machine Learning   : Graph Neural Network and Knowledge Graphs
  Federated Learning   : Federated Recommendation and Spatio-Temporal Federated Learning

Research DataSets


The datasets can be used for POI/next-POI recommendation, trajectory recommendation, friends recommendation (link prediction), activity recommendations, group recommendation and community discovery tasks:
  Foursquare_FGCRec   : Foursquare includes check-in data ranging from April 2012 to September 2013.
  Gowalla_FGCRec   : Gowalla contains check-in data ranging from February 2009 to October 2010.
  Foursquare_FGRec   : Foursquare includes the check-in data of users who live in California, ranging from December 2009 to June 2013.
  Yelp_FGRec   : Yelp contains a large number of geotagged businesses (also called POIs) and reviews within several cities.
  Foursquare_CARec   : We filter users who visited less than 10 POIs in Foursquare dataset and POIs visited by less than 10 users.
  Yelp_CARec   : We filter users who visited less than 32 POIs in Foursquare dataset and POIs visited by less than 31 users. https://www.yelp.com/dataset.
  Foursquare_MUC   : Foursquare contains check-in data ranging from January 2011 to July 2011.
  Gowalla_MUC   : Gowalla includes check-in data between Feb. 2009 and Oct 2010.

Selected Publications [My Group] [Google Scholar] [DBLP]



pdf
Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning
Yantong Lai, Yijun Su, Cong Xue, Daren Zha.
DASFAA 2021. International Conference on Database Systems for Advanced Applications.     Codes     Papers  

pdf
FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences
Yijun Su, Jia-Dong Zhang, Xiang Li, Daren Zha, Ji Xiang, Wei Tang, and Neng Gao.
IJCNN 2020. IEEE International Joint Conference on Neural Network.   Codes     Papers  

pdf
FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation
Yijun Su, Xiang Li, Baoping Liu, Daren Zha, Ji Xiang, Wei Tang and Neng Gao.
ICC 2020. IEEE International Conference on Communications.     Codes     Papers  

pdf
User Alignment with Jumping Seed Alignment Information Propagation
Xiang Li, Yijun Su, Neng Gao, Ji Xiang, Yuewu Wang.
IJCNN 2020. IEEE International Joint Conference on Neural Network.

pdf
HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation
Yijun Su, Xiang Li, Daren Zha, Wei Tang, Yiwen Jiang, Ji Xiang, Neng Gao.
ICONIP 2019. International Conference on Neural Information Processing. (Best Student Paper Award Finalists. )

pdf
Personalized Point-of-Interest Recommendation on Ranking with Poisson Factorization
Yijun Su, Xiang Li, Wei Tang, Daren Zha, Ji Xiang, Neng Gao.
IJCNN 2019. IEEE International Joint Conference on Neural Network.

pdf
CARec: Content-Aware Point-of-Interest Recommendation via Adaptive Bayesian Personalized Ranking
Baoping Liu, Yijun Su, Daren Zha, Neng Gao, Ji Xiang.
ICONIP 2019. International Conference on Neural Information Processing.   Codes     Papers  

pdf
Anchor User Oriented Accordant Embedding for User Identity Linkage
Xiang Li, Yijun Su, Neng Gao, Wei Tang, Ji Xiang, Yuewu Wang.
ICONIP 2019. International Conference on Neural Information Processing.

pdf
Aligning Users Across Social Networks by Joint User and Label Consistence Representation
Xiang Li, Yijun Su, Neng Gao, Wei Tang, Ji Xiang, Yuewu Wang.
ICONIP 2019. International Conference on Neural Information Processing.

pdf
SCS: Style and Content Supervision Network for Character Recognition with Unseen Font Style
Wei Tang, Yiwen Jiang, Neng Gao, Ji Xiang, Yijun Su, Xiang Li
ICONIP 2019. International Conference on Neural Information Processing.

pdf
Demographic Prediction from Purchase Data Based on Knowledge-Aware Embedding
Yiwen Jiang, Wei Tang, Neng Gao, Ji Xiang, Yijun Su.
ICONIP 2019. International Conference on Neural Information Processing.

pdf
Reducing Style Overfitting for Character Recognition via Parallel Neural Networks with Style to Content Connection
Wei Tang, Yiwen Jiang, Neng Gao, Ji Xiang, Jiahui Shen, Xiang Li, Yijun Su.
ISPA 2019. International Symposium on Parallel and Distributed Processing with Applications.

pdf
Next Check-ins Prediction via History and Friendship on Location-Based Social Networks
Yijun Su, Xiang Li, Wei Tang, Ji Xiang, Yuanye He.
MDM 2018. IEEE International Conference on Mobile Data Management.   Codes     Papers  

pdf
User Identity Linkage with Accumulated Information from Neighbouring Anchor Links
Xiang Li, Yijun Su, Wei Tang, Neng Gao, Ji Xiang.
WISE 2018. Web Information Systems Engineering.

pdf
CNN-Based Chinese Character Recognition with Skeleton Feature
Wei Tang, Yijun Su, Xiang Li, Daren Zha, Weiyu Jiang, Neng Gao, Ji Xiang.
ICONIP 2018. International Conference on Neural Information Processing.

Academic services


Journal reviewer for ACM Transactions on Intelligent Systems and Technology (TIST)
Journal reviewer for IEEE Transactions on Cybernetics (TCYB)
Journal reviewer for World Wide Web Journal (WWWJ)
Journal reviewer for Recent Patents on Engineering (RPE)
Conference reviewer for ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021
Conference reviewer for The ACM Web Conference (WWW), 2022
Conference reviewer for SIAM International Conference on Data Mining (SDM), 2022

Talks


Personalized Point-of-Interest Recommendation on Ranking with Poisson Factorization,IJCNN-2019, Budapest, July 2019.
Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation,ICC-2020, online talking, China, May 2020.

Awards and Honors


Triple-A Student of Institute of Information Engineering, CAS, 2020
Best Student Paper Award Finalists, ICONIP, 2019
Merit Student, University of Chinese Academy of Sciences, 2019
Merit Student, University of Chinese Academy of Sciences, 2018
Merit Student, University of Chinese Academy of Sciences, 2017

Useful Links


CS Conference Rankings


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