Publications ALL / Conference /Journal / ALL / 2021 /2020 /2019 /2018 /2017 /2016 /2015 /2014 /2013 /2011 /

Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li and Tat-Seng Chua:
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
EMNLP 2019 [2019-11-03] PDF

Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Automatic Fashion Knowledge Extraction from Social Media
ACM MM 2019 [2019-10-21] PDF

Francesco Gelli, Tiberio Uricchio, Xiangnan He, Alberto Del Bimbo, Tat-Seng Chua:
Learning Subjective Attributes of Images from Auxiliary Sources
ACM MM 2019 [2019-10-21] PDF

Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong & Tat-Seng Chua:
MMGCN: Multimodal Graph Convolution Network for Personalized Recommendation of Micro-video
ACM MM 2019 [2019-10-21] PDF

Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, Tat-Seng Chua:
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video
MM 2019 [21-October-2019] PDF

Lei Meng, Long Chen, Xun Yang, Dacheng Tao, Hanwang Zhang, Chunyan Miao:
Learning Using Privileged Information for Food Recognition
ACM MM 2019 [2019-10-21] PDF

Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua:
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media
ACM MM 2019 [2019-10-21] PDF

Lixi Deng, Jingjing Chen, Qianru Sun, Xiangnan He, Sheng Tang, Zhaoyan Ming, Yongdong Zhang, Tat-Seng Chua:
Mixed-dish Recognition with Contextual Relation Networks
ACM MM 2019 [2019-10-21] PDF

Donglin Di, Xindi Shang, Weinan Zhang, Xun Yang, Tat-Seng Chua:
Multiple Hypothesis Video Relation Detection
BigMM 2019 [2019-09-11] PDF

Xiaogang Wang, Qianru Sun, Tat-Seng Chua, Marcelo H. Ang Jr.:
Generating Expensive Relationship Features from Cheap Objects
BMVC 2019 [2019-09-09] PDF

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

Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua:
KGAT: Knowledge Graph Attention Network for Recommendation
KDD 2019 [4-August-19] PDF

Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua:
Multi-Channel Graph Neural Network for Entity Alignment
ACL 2019 [28-Jul-19] PDF

Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun:
Graph Neural Networks with Generated Parameters for Relation Extraction
ACL 2019 [28-Jul-19] PDF

Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua:
Interpretable Fashion Matching with Rich Attributes
SIGIR 2019 [21-July-19] PDF

Xiang Wang, Xiangnan He*, Meng Wang, Fuli Feng & Tat-Seng Chua:
Neural Graph Collaborative Filtering
SIGIR 2019 [21-Jul-19] PDF

Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation
SIGIR 2019 [2019-07-21] PDF

Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation
AAAI 2019 [17-July-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

1 2 3 4 5 10