News


16 May 2021
Two full papers are accepted by KDD'21 about causal inference for recommendation.

6 May 2021
Three full papers are accepted by ACL'21 about causal reasoning and discrete reasoning.

28 April 2021
One paper is accepted by TKDE about graph neural network.

15 April 2021
Six full papers are accepted by SIGIR'21 about causal reasoning, self-supervised learning, and financial event ranking.

14 March 2021
We release a large-scale dataset for few-shot graph classification.

16 January 2021
One full paper is accepted by WWW'21 about graph neural network.

10 December 2020
One full paper is accepted by AAAI'21 about text representation learning. One full paper is accepted by WSDM 2021 about denoising implicit feedback. One full paper is accepted by ICDM 2020 about cold-start recommendation.

9 November 2020
I am invited to be a senior program committee member in The International Joint Conference on Artificial Intelligence (IJCAI) 2021, and a program committee member in International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2021 .

6 June 2020
I am invited to be a program committee member in The Conference on Neural Information Processing Systems (NeurIPS) 2020, The 14th ACM International Web Search and Data Mining Conference (WSDM) 2021 , The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2020.

23 April 2020
Two full papers are accepted by SIGIR'20, about progressive recommender training and low-resource text classification. One full papre is accepted by IJCAI'20, about graph neural network.

24 December 2019
I am invited to be a program committee member in Annual Conference of the Association for Computational Linguistics (ACL) 2020 and International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2020.

25 November 2019
One full paper is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE), about adversarial training of graph neural networks.

13 November 2019
One full paper is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE), about multi-behaviour recommendation.

11 November 2019
One full paper is accepted by AAAI'20 (oral), about sequential text classification.

8 October 2019
I am invited to be a program committee member in The Web Conference (WWW) 2020.

20 September 2019
One full paper is accepted by IEEE Transactions on Multimedia (TMM), about food recommendation.

21 August 2019
I am invited to be a program committee member in AAAI 2020.

6 August 2019
I have successfully defended my thesis and got the PhD degree! My thesis title is "Learning on Graphs".

16 July 2019
One full paper is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE), about negative sampling for recommendation.

18 May 2019
I am invited to be a program committee member in CIKM 2019.

17 April 2019
One full paper is accepted by IJCAI'19, about adversarial training for stock prediction.

14 April 2019
Three full papers are accepted by SIGIR'19, about graph neural network for recommendation, interpretable fashion matching, and hierarchical hashing.

17 January 2019
One full paper is accepted by ACM Transactions on Information Systems (TOIS), about graph neural network for stock prediction.

Fuli Feng 

Research Fellow

NExT++
School of Computing
National University of Singapore

Computing 1, Computing Drive, Singapore 117417

Email: fulifeng93 AT gmail.com
Google ScholarGitHub

I am a research fellow in NExT++, School of Computing, National University of Singapore. I have over 20 publications appeared in several top conferences such as SIGIR, WWW, and ACMMM, and journals including TKDE and TOIS. My work on recommender system has received the Best Poster Award in WWW 2018. My research interests include information retrieval, data mining, and multi-media analytics, particularly in machine learning techniques and applications such as graph neural networks, adversarial learning, multi-source learning, recommender systems, FinTech, and text mining. Moreover, I have served as the PC member for top-tier conferences including SIGIR, WWW, WSDM, NeurIPS, AAAI, ACL, EMNLP, and ACMMM, and the invited reviewer for prestigious journals such as TNNLS, TKDE, TMM. Advertisements:
0. Frontiers in Big Data "Causal Methods for Recommender System" Special Issue:
- Call for papers, welcome to submit!
- Abstract due: 30 June 2021; Submission due: 24 October 2021

Education

National University of Singapore (NUS)
Ph.D. in Computer Science                   August 2015 - August 2019, Singapore
Advisor: Prof. Tat-Seng Chua
Mentors: Prof. Xiangnan He and Prof. Liqiang Nie
Beihang University (BUAA)
Bachelor in Computer Science and Engineering      September 2011 - June 2015, Beijing
Advisor: Prof. Zhoujun Li

Experiences

Postdoc Research Fellow, National University of Singapore, June 2019 - Present
Advisior: Prof. Tat-Seng Chua (NExT++: NUS-Tsinghua-Southampton Extreme Search Center)

Publications Google Scholar


In the Year of 2021:


pdf
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding and Peng Cui
WWW 2021 (Full)    Codes

pdf
Conceptualized and Contextualized Gaussian Embedding
Chen Qian, Fuli Feng, Lijie Wen and Tat-Seng Chua
WSDM 2021 (Full)    Codes   

pdf
Denoising Implicit Feedback for Recommendation
Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie and Tat-Seng Chua
WSDM 2021 (Full)    Codes   

pdf
Denoising Implicit Feedback for Recommendation
Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie and Tat-Seng Chua
WSDM 2021 (Full)    Codes   
In the Year of 2020:


pdf
Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation
Lei Meng, Fuli Feng, Xiangnan He, Xiaoyan Gao and Tat-Seng Chua
ACMMM 2020 (Full)   

pdf
How to Retrain Recommender System? A Sequential Meta-Learning Approach
Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li and Yongdong Zhang
SIGIR 2020 (Full)    Codes   

pdf
Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms
Chen Qian, Fuli Feng, Lijie Wen, Li Lin, & Tat-Seng Chua
SIGIR 2020 (Full, Oral)    Codes   

pdf
Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng & Yongdong Zhang
IJCAI 2020 (Full)    Codes   

pdf
Solving Sequential Text Classification as Board-Game Playing
Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng & Tat-Seng Chua
AAAI 2020 (Full, Oral)    Codes   

pdf
Large-Scale Question Tagging via Joint Question-Topic Embedding Learning
Liqiang Nie, Yongqi Li, Fuli Feng, Xuemeng Song, Meng Wang & Tat-Seng Chua
ACM Transactions on Information Systems (TOIS, 2020)    Codes   
In the Year of 2019:


pdf
Learning to Recommend with Multiple Cascading Behaviors
Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua & Depeng Jin
IEEE Transactions on Knowledge and Data Engineering (TKDE 2019)  

pdf
Hierarchical Attention Network for Visually-aware Food Recommendation
Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng Zhaoyan Ming & Tat-Seng Chua
IEEE Transactions on Multimedia (TMM 2019)    Data   

pdf
Enhancing Stock Movement Prediction with Adversarial Training
Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun & Tat-Seng Chua
IJCAI 2019 (Full, Accept rate: 17.9%)    Codes   

pdf
Interpretable Fashion Matching with Rich Attributes
Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang & Tat-Seng Chua
SIGIR 2019 (Full, Accept rate: 20%)    Slides   

pdf
Neural Graph Collaborative Filtering
Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng & Tat-Seng Chua
SIGIR 2019 (Full, Accept rate: 20%)
  • arXiv    • Codes   

pdf
Supervised Hierarchical Cross-Modal Hashing
Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang & Liqiang Nie
SIGIR 2019 (Full, Accept rate: 20%)   

pdf
Cross-domain Recommendation Without Sharing User-relevant Data
Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li & Depeng Jin
WWW 2019 (Full, Accept rate: 18%)   

pdf
Explicit Interaction Model towards Text Classification
Cunxiao Du, Zhaozheng Chin, Fuli Feng, Lei Zhu, Tian Gan & Liqiang Nie
AAAI 2019 (Full, Accept rate: 16.2%)   

pdf
Neural Multi-Task Recommendation from Multi-Behavior Data
Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua & Depeng Jin
ICDE 2019 (Short)   

pdf
Temporal Relational Ranking for Stock Prediction
Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu & Tat-Seng Chua
ACM Transactions on Information Systems (TOIS 2019)    Codes   

pdf
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data
Jingtao Ding, Guanghui Yu, Xiangnan He, Fuli Feng, Yong Li & Depeng Jin
IEEE Transactions on Knowledge and Data Engineering (TKDE 2019)  
Look for the full publication list? Please visit Google Scholar.

Invited Talks

Temporal Relational Ranking for Stock Prediction   
- MegaAI Company, Beijing, 13 February, 2019 (invited by Dr. Cheng Luo)
- Shandong University, 11 Augest, 2018 (invited by Prof. Liqiang Nie)
Learning on Partial-Order Hypergraphs   
- WWW 2018, Lyon, France, 26 April, 2018
Computational Social Indicators: A Case Study of Chinese University Ranking   
- SIGIR 2017, Tokyo, Japan, 5 August, 2017

Professional Services

Program Committee Member of AAAI (2020)
Program Committee Member of CIKM (2019)
Program Committee Member of SIGIR (2019)
Program Committee Member of ACMMM (2019)
Program Committee Member of SIGIR (2018)
Invited Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
Invited Reviewer for Information Sciences
Invited Reviewer for Multimedia Tools and Applications
Invited Reviewer for World Wide Web Journal (WWWJ)
Invited Reviewer for Multimedia Systems Journal (MMSJ)
External Reviewer of WWW and WSDM in 2019.
External Reviewer of AIRS, EMNLP, CIKM, ACMMM, ACL, IJCAI, KDD, AAAI, and WSDM in 2018.
External Reviewer of AIRS, EMNLP, CIKM, ACMMM, ACL, IJCAI, KDD, AAAI, and WSDM in 2017.

Selected Awards

Dean's Graduate Research Excellence Award,    2018   
- School of Computing, National University of Singapore
Best Poster Award,    2018   
- The Web Conference (WWW)
Research Achievement Award,    2017   
- School of Computing, National University of Singapore
Outstanding Undergraduate Award,   2014   
- China Computer Federation (CCF)
1st Prize Award,   2014   
- ASC World Student Supercomputer Challenge
Application Innovation Award,   2014   
- ASC World Student Supercomputer Challenge

Useful Links

NUS CS Conference Rankings
NUS CS Journal Ranking
NUS CS Courses
Machine Learning Reading List
Deep Learning Reading List

Last update: 25 August, 2019. Webpage template borrows from Prof. Xiangnan He.