Fuli Feng
National University of Singapore
168 Papers
259 Citations
Fuli Feng is an academic researcher from National University of Singapore. The author has contributed to research in topics: Computer science & Recommender system. The author has an hindex of 23, co-authored 92 publications. Previous affiliations of Fuli Feng include Association for Computing Machinery & Beihang University.
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Papers
Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation
TL;DR: Zhang et al. as discussed by the authors proposed an abductive prediction correction (APC) framework for sequential recommender models, in which the most probable historical interactions are inferred from the future interactions predicted by a recommender, and minimizes the discrepancy between the inferred and true historical interactions to adjust the predictions.
Accepted Tutorials at The Web Conference 2022
Riccardo Tommasini,Senjuti Basu Roy,Xuan Wang,Hongwei Wang,Heng Ji,J.H. Han,Preslav Nakov,Giovanni Da San Martino,Mashiul Alam,Markus Schedl,Elisabeth Lex,Akash Bharadwaj,Graham Cormode,Milan Dojchinovski,Jan Forberg,Johannes Frey,Pieter Bonte,Marco Balduini,Matteo Belcao,Emanuele Della Valle,Junliang Yu,Hongzhi Yin,Tong Chen,Haochen Liu,Yiqi Wang,Wenqi Fan,Xiaorui Liu,Jamell Dacon,Lin Heng Lye,Jiliang Tang,Aristides Gionis,Stefan Neumann,Bruno Ordozgoiti,S. Razniewski,H. El Arnaout,Shrestha Ghosh,Fabian M. Suchanek,Ling-Hua Wu,Yu Chen,Yunyao Li,Bang Liu,Filip Ilievski,Daniel Garijo,Hans Chalupsky,Pedro Szekely,Ilias Kanellos,Dimitris Sacharidis,Thanasis Vergoulis,Nurendra Choudhary,Nikhil Rao,Karthikeyan Subbian,Srinivasan H. Sengamedu,Chandana A. Reddy,Friedhelm Victor,Bernhard Haslhofer,George Katsogiannis-Meimarakis,Georgia Koutrika,Shengmin Jin,Danai Koutra,Reza Zafarani,Yulia Tsvetkov,Vidhisha Balachandran,Sachin Kumar,Xiangyu Zhao,Bo Chen,Huiwen Guo,Yejing Wang,Ruiming Tang,Yan Zhang,Wenjie Wang,Peng Wu,Fuli Feng,Xiangnan He +72 more
- 25 Apr 2022
TL;DR: This paper summarizes the content of the 20 tutorials that have been given at The Web Conference 2022: 85% of these tutorials are lecture style, and 15% are hands on.
Training Free Graph Neural Networks for Graph Matching
Zhiyuan Liu,Yixin Cao,Fuli Feng,Xiang Wang,Jie Tang,Kenji Kawaguchi,Tat-Seng Chua +6 more
- 14 Jan 2022
TL;DR: TFGM (Training Free Graph Matching) is presented, a framework to boost the performance of Graph Neural Networks (GNNs) based graph matching without training that guarantees the preservation of structure compatibility and an efficient polynomial complexity.
Attack Prompt Generation for Red Teaming and Defending Large Language Models
Boyi Deng,Wenjie Wang,Fuli Feng,Yang Deng,Qifan Wang,Xiangnan He +5 more
TL;DR: This work proposes an attack framework to instruct LLMs to mimic human-generated prompts through in-context learning to enhance their safety against red teaming attacks, and proposes a defense framework that fine-tunes victim LLMs through iterative interactions with the attack framework.
Temporally and Distributionally Robust Optimization for Cold-start Recommendation
Xinyu Lin,Wenjie Wang,Jujia Zhao,Yongqi Li,Fuli Feng,Tat-Seng Chua +5 more
TL;DR: A novel temporal DRO with new optimization objectives, namely, 1) to integrate a worst-case factor to improve the worst-case performance, and 2) to devise a shifting factor to capture the shifting trend of item features and enhance the optimization of the potentially popular groups in cold-start items.