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++
Computing 1, Computing Drive, Singapore 117417
Email: fulifeng93 AT gmail.com
|
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:![]() |
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 |
![]() |
Conceptualized and Contextualized Gaussian Embedding
Chen Qian, Fuli Feng, Lijie Wen and Tat-Seng Chua WSDM 2021 (Full) Codes |
![]() |
Denoising Implicit Feedback for Recommendation
Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie and Tat-Seng Chua WSDM 2021 (Full) Codes |
![]() |
Denoising Implicit Feedback for Recommendation
Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie and Tat-Seng Chua WSDM 2021 (Full) Codes |
![]() |
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) |
![]() |
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 |
![]() |
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 |
![]() |
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 |
![]() |
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 |
![]() |
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 |
![]() |
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) |
![]() |
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 |
![]() |
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 |
![]() |
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 |
![]() |
Neural Graph Collaborative Filtering
Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng & Tat-Seng Chua SIGIR 2019 (Full, Accept rate: 20%) • arXiv • Codes |
![]() |
Supervised Hierarchical Cross-Modal Hashing
Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang & Liqiang Nie SIGIR 2019 (Full, Accept rate: 20%) |
![]() |
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%) |
![]() |
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%) |
![]() |
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) |
![]() |
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 |
![]() |
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) |
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.