3.2k citations · 8.2k across the 71 of their papers we have counts for
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Explicit Interaction Model towards Text Classification
Cunxiao Du, Zhaozheng Chin, Fuli Feng +3
Text classification is one of the fundamental tasks in natural language processing. Recently, deep neural networks have achieved promising performance in the text classification ta…
Enhancing Stock Movement Prediction with Adversarial Training
Fuli Feng, Huimin Chen, Xiangnan He +3
This paper contributes a new machine learning solution for stock movement prediction, which aims to predict whether the price of a stock will be up or down in the near future. The…
Hierarchical Attention Network for Visually-aware Food Recommendation
Xiaoyan Gao, Fuli Feng, Xiangnan He +5
Food recommender systems play an important role in assisting users to identify the desired food to eat. Deciding what food to eat is a complex and multi-faceted process, which is i…
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data
Jingtao Ding, Guanghui Yu, Xiangnan He +2
Bayesian Personalized Ranking (BPR) is a representative pairwise learning method for optimizing recommendation models. It is widely known that the performance of BPR depends largel…
Temporal Relational Ranking for Stock Prediction
Fuli Feng, Xiangnan He, Xiang Wang +3
Stock prediction aims to predict the future trends of a stock in order to help investors to make good investment decisions. Traditional solutions for stock prediction are based on…
Learning to Recommend with Multiple Cascading Behaviors
Chen Gao, Xiangnan He, Dahua Gan +7
Most existing recommender systems leverage user behavior data of one type only, such as the purchase behavior in E-commerce that is directly related to the business KPI (Key Perfor…
Discrete Factorization Machines for Fast Feature-based Recommendation
Han Liu, Xiangnan He, Fuli Feng +3
User and item features of side information are crucial for accurate recommendation. However, the large number of feature dimensions, e.g., usually larger than 10^7, results in expe…
Neural Compatibility Modeling with Attentive Knowledge Distillation
Xuemeng Song, Fuli Feng, Xianjing Han +3
Recently, the booming fashion sector and its huge potential benefits have attracted tremendous attention from many research communities. In particular, increasing research efforts…