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Lei Meng, Ah-Hwee Tan, Chunyan Miao:
Salience-Aware Adaptive Resonance Theory for Large-Scale Sparse Data Clustering
Neural Networks [2019-09-01] PDF

Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
IEEE Transactions on Knowledge and Data Engineering [5-Dec-19] PDF

Zhulin Tao, Xiang Wang, Xiangnan He, Xianglin Huang & Tat-Seng Chua:
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction
Information Processing & Management [2-Jul-19] PDF

Xiaoyu Du, Xiangnan He*, Fajie Yuan, Jinhui Tang, Zhiguang Qin & Tat-Seng Chua:
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
ACM Transactions on Information Systems [26-Jun-19] PDF

Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng, Zhaoyan Ming, Tat-Seng Chua:
Hierarchical Attention Network for Visually-aware Food Recommendation
IEEE Transactions on Multimedia [6-Jan-19] PDF

Ming Gao, Xiangnan He*, Leihui Chen, Aoying Zhou:
Learning Vertex Representations for Bipartite Networks
IEEE Transactions on Knowledge and Data Engineering [16-Jan-19] PDF

Da Cao, Xiangnan He, Lianhai Miao, Guangyi Xiao, Hao Chen & Richang Hong:
Social-enhanced Attentive Group Recommendation
IEEE Transactions on Knowledge and Data Engineering [20-Aug-19] PDF

Xiangnan He, Jinhui Tang, Xiaoyu Du, Richang Hong, Tongwei Ren, Tat-Seng Chua:
Fast Matrix Factorization With Nonuniform Weights on Missing Data
IEEE Transactions on Neural Networks and Learning Systems [23-Jan-19] PDF

Xinyu Guan, Zhiyong Cheng, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua:
Attentive Aspect Modeling for Review-aware Recommendation
ACM Transactions on Information Systems [27-Mar-19] PDF

Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, Tat-Seng Chua:
Adversarial training towards robust multimedia recommender system
IEEE Transactions on Knowledge and Data Engineering [18-Jan-19] PDF

Feng Xue, Xiangnan He*, Xiang Wang, Jiandong Xu, Kai Liu & Richang Hong:
Deep Item-based Collaborative Filtering for Top-N Recommendation
ACM Transactions on Information Systems [1-Apr-19] PDF

Wenlong Xie, Hongxun Yao, Xiaoshuai Sun, Tingting Han, Sicheng Zhao, Tat-Seng Chua:
Discovering Latent Discriminative Patterns for Multi-Mode Event Representation
IEEE Transactions on Multimedia [5-Nov-18] PDF

Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua:
NAIS: Neural Attentive Item Similarity Model for Recommendation
IEEE Transactions on Knowledge and Data Engineering 30(12) [30-Apr-18] PDF

Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions
IEEE Transactions on Knowledge and Data Engineering [5-March-20] PDF

Fuli Feng, Xiangnan He, Cheng Luo, Yiqin Liu, Tat-Seng Chua:
Temporal Relational Ranking for Stock Prediction
ACM Transactions on Information Systems [1-March-19] PDF

Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Xia Hu, Shunxiang Wu & Tat-Seng Chua:
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts
ACM Transactions on Information Systems [24-Aug-17] PDF

Aleksandr Farseev, Tat-Seng Chua:
Tweet can be Fit: Integrating Data from Wearable Sensors and Multiple Social Networks for Wellness Profile Learning
ACM Transactions on Information Systems [24-Aug-17] PDF

Sicheng Zhao, Hongxun Yao, Yue Gao, Guiguang Ding and Tat-Seng Chua:
Predicting Personalized Image Emotion Perceptions in Social Networks
IEEE Transactions on Affective Computing [23-May-17] PDF

Lizi Liao, Xiangnan He, Hanwang Zhang, and Tat-Seng Chua:
Attributed Social Network Embedding
IEEE Transactions on Knowledge and Data Engineering [12-May-17] PDF

Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang and Tat-Seng Chua:
Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency
ACM Transactions on Information Systems, Vol. 36, No. 1, Article 4 (April 2017) [6-May-17] PDF

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