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papers

Publications (130)

cs.HC2018

dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction

He Huang, Bokai Cao, Philip S. Yu +2

cs.CL2017

Product Function Need Recognition via Semi-supervised Attention Network

Hu Xu, Sihong Xie, Lei Shu +1

cs.SI2015

Predicting Neighbor Distribution in Heterogeneous Information Networks

Yuchi Ma, Ning Yang, Chuan Li +2

cs.LG2015

Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification

Bokai Cao, Xiangnan Kong, Jingyuan Zhang +2

cs.SI2018

Improving Stock Market Prediction via Heterogeneous Information Fusion

Xi Zhang, Yunjia Zhang, Senzhang Wang +3

cs.CL2017

Dual Attention Network for Product Compatibility and Function Satisfiability Analysis

Hu Xu, Sihong Xie, Lei Shu +1

cs.LG2017

SEVEN: Deep Semi-supervised Verification Networks

Vahid Noroozi, Lei Zheng, Sara Bahaadini +2

cs.CV2019

Spatiotemporal Pyramid Network for Video Action Recognition

Yunbo Wang, Mingsheng Long, Jianmin Wang +1

cs.SI2013

Predicting Social Links for New Users across Aligned Heterogeneous Social Networks

Jiawei Zhang, Xiangnan Kong, Philip S. Yu

cs.LG2018

Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction

Jianguo Zhang, Ji Wang, Lifang He +2

cs.SI2015

Mutual Community Detection across Multiple Partially Aligned Social Networks

Jiawei Zhang, Philip S. Yu

cs.SI2013

Predicting Trends in Social Networks via Dynamic Activeness Model

Shuyang Lin, Xiangnan Kong, Philip S. Yu

cs.IR2016

Composite Correlation Quantization for Efficient Multimodal Retrieval

Mingsheng Long, Yue Cao, Jianmin Wang +1

cs.DB2012

Mining Frequent Itemsets over Uncertain Databases

Yongxin Tong, Lei Chen, Yurong Cheng +1

cs.LG2018

Multi-Task Pharmacovigilance Mining from Social Media Posts

Shaika Chowdhury, Chenwei Zhang, Philip S. Yu

cs.DB2012

Latency Bounding by Trading off Consistency in NoSQL Store: A Staging and Stepwise Approach

Yuqing Zhu, Philip S. Yu, Jianmin Wang

cs.SI2017

Mining Online Social Data for Detecting Social Network Mental Disorders

Hong-Han Shuai, Chih-Ya Shen, De-Nian Yang +4

cs.IR2015

G-Bean: an ontology-graph based web tool for biomedical literature retrieval

James Z. Wang, Yuanyuan Zhang, Liang Dong +3

cs.LG2018

A Self-Organizing Tensor Architecture for Multi-View Clustering

Lifang He, Chun-ta Lu, Yong Chen +4

cs.SI2014

Future Influence Ranking of Scientific Literature

Senzhang Wang, Sihong Xie, Xiaoming Zhang +3

cs.DB2019

Utility Mining Across Multi-Dimensional Sequences

Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang +4

cs.IR2018

Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping

Xinghua Wang, Zhaohui Peng, Senzhang Wang +3

cs.LG2019

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

Ji Wang, Jianguo Zhang, Weidong Bao +3

cs.LG2018

Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis

Ye Liu, Lifang He, Bokai Cao +3

cs.LG2019

Fused Lasso for Feature Selection using Structural Information

Lu Bai, Lixin Cui, Yue Wang +2

cs.CL2018

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

Hu Xu, Bing Liu, Lei Shu +1

cs.LG2018

Error-Robust Multi-View Clustering

Mehrnaz Najafi, Lifang He, Philip S. Yu

cs.SI2019

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

Hao Peng, Jianxin Li, Qiran Gong +4

cs.SE2018

Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Yao Wan, Zhou Zhao, Min Yang +4

cs.CL2018

Zero-shot User Intent Detection via Capsule Neural Networks

Congying Xia, Chenwei Zhang, Xiaohui Yan +2

cs.SI2015

An Effective Marketing Strategy for Revenue Maximization with a Quantity Constraint

Ya-Wen Teng, Chih-Hua Tai, Philip S. Yu +1

cs.SI2019

Multi-Round Influence Maximization

Lichao Sun, Weiran Huang, Philip S. Yu +1

cs.SI2016

Expenditure Aware Rating Prediction for Recommendation

Chuan Shi, Bowei He, Menghao Zhang +2

cs.LG2018

Securing Behavior-based Opinion Spam Detection

Shuaijun Ge, Guixiang Ma, Sihong Xie +1

cs.SI2015

A Survey of Heterogeneous Information Network Analysis

Chuan Shi, Yitong Li, Jiawei Zhang +2

cs.LG2019

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

Zhi-Hong Deng, Ling Huang, Chang-Dong Wang +2

cs.CR2012

Implementation of Privacy-preserving SimRank over Distributed Information Network

Yu-Wei Chu, Chih-Hua Tai, Ming-Syan Chen +1

cs.HC2018

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

Bokai Cao, Lei Zheng, Chenwei Zhang +6

cs.LG2015

A review of heterogeneous data mining for brain disorders

Bokai Cao, Xiangnan Kong, Philip S. Yu

cs.CV2018

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

Jindong Wang, Wenjie Feng, Yiqiang Chen +3

cs.CL2019

Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce

Jian-Guo Zhang, Pengcheng Zou, Zhao Li +4

cs.LG2017

Learning Multiple Tasks with Multilinear Relationship Networks

Mingsheng Long, Zhangjie Cao, Jianmin Wang +1

cs.DB2016

Multi-source Hierarchical Prediction Consolidation

Chenwei Zhang, Sihong Xie, Yaliang Li +3

cs.SI2018

r-Instance Learning for Missing People Tweets Identification

Yang Yang, Haoyan Liu, Xia Hu +4

cs.CE2018

Deep Co-investment Network Learning for Financial Assets

Yue Wang, Chenwei Zhang, Shen Wang +3

cs.SI2018

FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation

Fei Jiang, Lei Zheng, Jin Xu +1

cs.SI2014

When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events

Ning Yang, Xiangnan Kong, Fengjiao Wang +1

cs.SI2018

IAD: Interaction-Aware Diffusion Framework in Social Networks

Xi Zhang, Yuan Su, Siyu Qu +3

cs.LG2017

Multi-view Unsupervised Feature Selection by Cross-diffused Matrix Alignment

Xiaokai Wei, Bokai Cao, Philip S. Yu

cs.IR2013

HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks

Chuan Shi, Xiangnan Kong, Yue Huang +2

cs.CL2016

CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews

Hu Xu, Sihong Xie, Lei Shu +1

cs.SI2016

Modularity in Complex Multilayer Networks with Multiple Aspects: A Static Perspective

Han Zhang, Chang-Dong Wang, Jian-Huang Lai +1

cs.SI2017

Heterogeneous Information Network Embedding for Recommendation

Chuan Shi, Binbin Hu, Wayne Xin Zhao +1

cs.DB2009

Can the Utility of Anonymized Data be used for Privacy Breaches?

Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang +2

cs.LG2017

HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks

Bokai Cao, Mia Mao, Siim Viidu +1

cs.SI2013

Deriving Latent Social Impulses to Determine Longevous Videos

Qingbo Hu, Guan Wang, Philip S. Yu

cs.LG2019

Deep Learning for Spatio-Temporal Data Mining: A Survey

Senzhang Wang, Jiannong Cao, Philip S. Yu

cs.SI2017

BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder

Jiawei Zhang, Congying Xia, Chenwei Zhang +3

cs.SI2018

On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph Approximation

Fei Jiang, Lifang He, Yi Zheng +3

cs.LG2016

Clustering on Multiple Incomplete Datasets via Collective Kernel Learning

Weixiang Shao, Xiaoxiao Shi, Philip S. Yu

cs.SI2013

Structural Diversity for Resisting Community Identification in Published Social Networks

Chih-Hua Tai, Philip S. Yu, De-Nian Yang +1

cs.SI2015

Organizational Chart Inference

Jiawei Zhang, Philip S. Yu, Yuanhua Lv

cs.SI2014

Discovering Organizational Correlations from Twitter

Jingyuan Zhang, Xiaoxiao Shi, Xiangnan Kong +2

cs.LG2013

Discriminative Feature Selection for Uncertain Graph Classification

Xiangnan Kong, Philip S. Yu, Xue Wang +1

cs.LG2018

Private Model Compression via Knowledge Distillation

Ji Wang, Weidong Bao, Lichao Sun +3

cs.LG2019

Adversarial Defense Framework for Graph Neural Network

Shen Wang, Zhengzhang Chen, Jingchao Ni +4

cs.SI2013

Willingness Optimization for Social Group Activity

Hong-Han Shuai, De-Nian Yang, Philip S. Yu +1

cs.CV2019

Similarity Learning with Higher-Order Graph Convolutions for Brain Network Analysis

Guixiang Ma, Nesreen K. Ahmed, Ted Willke +4

cs.CY2016

Bicycle-Sharing System Analysis and Trip Prediction

Jiawei Zhang, Xiao Pan, Moyin Li +1

cs.CL2018

Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training

Yao Wan, Wenqiang Yan, Jianwei Gao +3

cs.SI2016

Badge System Analysis and Design

Jiawei Zhang, Xiangnan Kong, Philip S. Yu

cs.CL2017

Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge

Hu Xu, Lei Shu, Philip S. Yu

cs.CV2018

Deep Priority Hashing

Zhangjie Cao, Ziping Sun, Mingsheng Long +2

cs.LG2018

Learning from Multi-View Multi-Way Data via Structural Factorization Machines

Chun-Ta Lu, Lifang He, Hao Ding +2

cs.CR2017

Contaminant Removal for Android Malware Detection Systems

Lichao Sun, Xiaokai Wei, Jiawei Zhang +3

cs.CV2017

Correlation Hashing Network for Efficient Cross-Modal Retrieval

Yue Cao, Mingsheng Long, Jianmin Wang +1

cs.IR2019

Mutual Clustering on Comparative Texts via Heterogeneous Information Networks

Jianping Cao, Senzhang Wang, Danyan Wen +3

cs.CL2019

Joint Slot Filling and Intent Detection via Capsule Neural Networks

Chenwei Zhang, Yaliang Li, Nan Du +2

cs.CV2017

Stratified Transfer Learning for Cross-domain Activity Recognition

Jindong Wang, Yiqiang Chen, Lisha Hu +2

cs.SI2013

Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks

Guoqiong Liao, Yuchen Zhao, Sihong Xie +1

cs.LG2018

A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments

Jianguo Chen, Kenli Li, Huigui Rong +3

cs.SI2017

Collaborative Inference of Coexisting Information Diffusions

Yanchao Sun, Cong Qian, Ning Yang +1

cs.LG2016

Online Unsupervised Multi-view Feature Selection

Weixiang Shao, Lifang He, Chun-Ta Lu +2

cs.LG2017

HashNet: Deep Learning to Hash by Continuation

Zhangjie Cao, Mingsheng Long, Jianmin Wang +1

cs.LG2014

Large-Scale Multi-Label Learning with Incomplete Label Assignments

Xiangnan Kong, Zhaoming Wu, Li-Jia Li +4

cs.DC2017

To Vote Before Decide: A Logless One-Phase Commit Protocol for Highly-Available Datastores

Yuqing Zhu, Philip S. Yu, Guolei Yi +3

cs.CL2018

Product Title Refinement via Multi-Modal Generative Adversarial Learning

Jianguo Zhang, Pengcheng Zou, Zhao Li +5

q-fin.ST2018

Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data

Xi Zhang, Yixuan Li, Senzhang Wang +2

cs.CV2018

An Introduction to Image Synthesis with Generative Adversarial Nets

He Huang, Philip S. Yu, Changhu Wang

cs.SI2019

FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural Network

Jiawei Zhang, Bowen Dong, Philip S. Yu

FAKEDETECTOR is a model that detects fake news by jointly learning representations of news articles, creators, and subjects using a deep diffusive neural network built from explici…

#fake news detection#social networks#deep learning#graph neural networks
cs.IR2019

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

Hao Peng, Jianxin Li, Qiran Gong +5

cs.SI2015

Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation

Chuan Shi, Jian Liu, Fuzhen Zhuang +2

cs.CR2017

Differentially Private Query Learning: from Data Publishing to Model Publishing

Tianqing Zhu, Ping Xiong, Gang Li +2

cs.LG2017

Multi-view Graph Embedding with Hub Detection for Brain Network Analysis

Guixiang Ma, Chun-Ta Lu, Lifang He +2

cs.DB2013

On Graph Stream Clustering with Side Information

Yuchen Zhao, Philip S. Yu

cs.SI2017

BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion

Jiawei Zhang, Limeng Cui, Philip S. Yu +1

cs.CV2019

Generative Dual Adversarial Network for Generalized Zero-shot Learning

He Huang, Changhu Wang, Philip S. Yu +1

cs.SI2016

Intertwined Viral Marketing through Online Social Networks

Jiawei Zhang, Senzhang Wang, Qianyi Zhan +1

cs.LG2018

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning

Yunbo Wang, Zhifeng Gao, Mingsheng Long +2

cs.SI2018

Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach

Yang Yang, Xia Hu, Haoyan Liu +3