Papers
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization
Kejing Yin, William K. Cheung, Yang Liu et al.
Biharmonic Distance Related Centrality for Edges in Weighted Networks
Yuhao Yi, Liren Shan, Huan Li et al.
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces
Liang Yang, Yuanfang Guo, Di Jin et al.
Line separation from topographic maps using regional color and spatial information
Pengfei Xu, Qiguang Miao, Tiange Liu et al.
Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective
Huang Xu, Zhiwen Yu, Bin Guo et al.
Where Have You Been? Inferring Career Trajectory from Academic Social Network
Kan Wu, Jie Tang, Chenhui Zhang
Matrix completion with Preference Ranking for Top-N Recommendation
Zengmao Wang, Yuhong Guo, Bo Du
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data
Yingzi Wang, Xiao Zhou, Anastasios Noulas et al.
Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information
Yang Wang, Yiwei Xiao, Xike Xie et al.
Power-law Distribution Aware Trust Prediction
Xiao Wang, Ziwei Zhang, Jing Wang et al.
Estimating Latent People Flow without Tracking Individuals
Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima et al.
Discrete Network Embedding
Xiaobo Shen, Shirui Pan, Weiwei Liu et al.
A Joint Learning Approach to Intelligent Job Interview Assessment
Dazhong Shen, Hengshu Zhu, Chen Zhu et al.
Improving Information Centrality of a Node in Complex Networks by Adding Edges
Liren Shan, Yuhao Yi, Zhongzhi Zhang
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
Sungmin Rhee, Seokjun Seo, Sun Kim
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction
Zhi Qiao, Shiwan Zhao, Cao Xiao et al.
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks
Zhen Peng, Minnan Luo, Jundong Li et al.
Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency
Yue Pang, Bo Yao, Xiangdong Zhou et al.
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach
Sriraam Natarajan, Srijita Das, Nandini Ramanan et al.
From Reality to Perception: Genre-Based Neural Image Style Transfer
Zhuoqi Ma, Nannan Wang, Xinbo Gao et al.
Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation
Weizhi Ma, Min Zhang, Chenyang Wang et al.
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
Tengfei Ma, Cao Xiao, Jiayu Zhou et al.
LC-RNN: A Deep Learning Model for Traffic Speed Prediction
Zhongjian Lv, Jiajie Xu, Kai Zheng et al.
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback
Yong Liu, Lifan Zhao, Guimei Liu et al.
Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model
Jie Liu, Zhicheng He, Yalou Huang