Fuli Feng's Homepage

News

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 Scholar • GitHub

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.

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.