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Courses
- DAData Analytics
- BDTBig Data Technologies
- DSRMDesign Science Research Methodologies
- BIBusiness Intelligence
Grants
- lll: Small: Learning to Hash Information Networks
Principal Investigator (PI)
2020
$499.6K
Active - III: Small: Collaborative Research: Harnessing Big Data for Improving Career Mobility
Principal Investigator (PI)
2020
$257.9K
Active - CAREER: Mining Career, Education and Job Data to Bridge the Talent Gap between Demand and Supply
Principal Investigator (PI)
2019
$507.9K
Active - Developing a Real-Time Trajectory Tool to Identify Potentially Unsafe Concurrent Opioid and Benzodiazepine Use among Older Adults
Co-Investigator (COI)
2019
$53.0K
- III: Small: Collaborative Research: A Multi-source Data Driven Optimization Framework for Inter-connected Express Delivery System Design and Inventory Rebalance
Principal Investigator (PI)
2018
$249.9K
- Towards the Development of Smart Bike Sharing Systems
Principal Investigator (PI)
2016
$99.8K
Publications (143)
- Influence-Driven Data Poisoning for Robust Recommender Systems
2023
- Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games
2022
- Network Representation Lightening from Hashing to Quantization
2022
- Job and Employee Embeddings: A Joint Deep Learning Approach
2022
- CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency
2022
- Multi-agent graph convolutional reinforcement learning for dynamic electric vehicle charging pricing
2022
- Comparison of Evaluation Metrics of Deep Learning for Imbalanced Imaging Data in Osteoarthritis Studies
2022
- Boosting Factorization Machines via Saliency-Guided Mixup
2022
- Interactive reinforcement learning for feature selection with decision tree in the loop
2021
- Employee Turnover Prediction: A Big Data and Deep Learning Approach
2021
- System and method for explainable embedding-based recommendation system
2021
- Online additive quantization
2021
- Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior
2021
- Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems
2021
- System and method for click-through rate prediction
2021
- Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training
2021
- On Scalability of Association-rule-based recommendation: A unified distributed-computing framework
2020
- Explainable recommender systems via resolving learning representations
2020
- AutoFS: Automated Feature selection via diversity-aware interactive reinforcement learning
2020
- Diffnet++: A neural influence and interest diffusion network for social recommendation
2020
- A joint neural model for user behavior prediction on social networking platforms
2020
- Leveraging proficiency and preference for online Karaoke recommendation
2020
- Diversity-aware Interactive Reinforced Feature Selection
2020
- Multi-user mobile sequential recommendation for route optimization
2020
- Offline meta-level model-based reinforcement learning approach for cold-start recommendation
2020
- Micro-and macro-level churn analysis of large-scale mobile games
2020
- Voice of Charity: Prospecting the Donation Recurrence Donor Retention in Crowdfunding
2020
- Geography-aware sequential location recommendation
2020
- What Will Be Popular Next? Predicting Hotspots in Two-mode Social Networks
2020
- Computing Co-location Patterns in Spatial Data with Extended Objects: A Buffer-based Approach
2019
- Estimating the days to success of campaigns in crowdfunding: A deep survival perspective
2019
- A dynamic neural network model for click-through rate prediction in real-time bidding
2019
- Computing co-location patterns in spatial data with extended objects: a scalable buffer-based approach
2019
- Personalized multimedia item and key frame recommendation
2019
- Binarized collaborative filtering with distilling graph convolutional networks
2019
- Link Prediction from Incomplete Data
2019
- Binarized Collaborative Filtering with Distilling Graph Convolutional Network
2019
- Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
2019
- Deep attributed network embedding by preserving structure and attribute information
2019
- Route recommendations for intelligent transportation services
2019
- Voice of charity: Prospecting the donation recurrence & donor retention in crowdfunding
2019
- High-order proximity preserving information network hashing
2018
- A semi-supervised and inductive embedding model for churn prediction of large-scale mobile games
2018
- Representing urban forms: A collective learning model with heterogeneous human mobility data
2018
- Applying simulated annealing and parallel computing to the mobile sequential recommendation
2018
- Multi-user mobile sequential recommendation: An efficient parallel computing paradigm
2018
- Collaborative Neural Social Recommendation
2018
- The Effect of Rating System Design on Opinion Sharing
2018
- Scalable Content-Aware Collaborative Filtering for Location Recommendation
2018
- GeoMF++: Making Joint Geographical Modeling and Matrix Factorization Scalable
2018
- Single low-light image enhancement by fusing multiple sources
2018
- Explainable social contextual image recommendation with hierarchical attention
2018
- GeoMF++ scalable location recommendation via joint geographical modeling and matrix factorization
2018
- Textual review dimensionality and helpfulness: A multi-method study
2017
- Identifying serendipitous drug usages in patient forum data
2017
- An efficient data processing framework for mining the massive trajectory of moving objects
2017
- A sequential approach to market state modeling and analysis in online p2p lending
2017
- Exploring the emerging type of comment for online videos: Danmu
2017
- Prospecting the career development of talents: A survival analysis perspective
2017
- Discrete content-aware matrix factorization
2017
- User Vitality Ranking and Prediction in Social Networking Service: a Dynamic Network Perspective
2017
- A context-aware attention network for interactive question answering
2017
- Mobile Route Recommendations for Intelligent Transportation Services
2017
- Tracking the dynamics in crowdfunding
2017
- A Context-aware A ention Network for Interactive estion Answering
2017
- P2P lending survey: Platforms, recent advances and prospects
2017
- User vitality ranking and prediction in social networking services: A dynamic network perspective
2017
- Point-of-Interest Recommendations
2016
- Point-of-interest recommendations: Learning potential check-ins from friends
2016
- Group preference aggregation: A nash equilibrium approach
2016
- Exploiting multi-channels deep convolutional neural networks for multivariate time series classification
2016
- Modeling of geographic dependencies for real estate ranking
2016
- A spatial-temporal probabilistic matrix factorization model for point-of-interest recommendation
2016
- Predicting the popularity of danmu-enabled videos: A multi-factor view
2016
- Modeling users’ preferences and social links in social networking services: a joint-evolving perspective
2016
- Portfolio selections in P2P lending: A multi-objective perspective
2016
- Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback.
2016
- A proactive workflow model for healthcare operation and management
2016
- A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback.
2016
- Tracking the evolution of social emotions with topic models
2016
- Days on market: Measuring liquidity in real estate markets
2016
- Regularized content-aware tensor factorization meets temporal-aware location recommendation
2016
- Measure and mitigate the dimensional bias in online reviews and ratings
2015
- Short and sparse text topic modeling via self-aggregation
2015
- Call for Papers Special Issue on Big Data Computing and Communications
2015
- Automated detection for probable homologous foodborne disease outbreaks
2015
- Regularizing flat latent variables with hierarchical structures
2015
- Point-of-interest recommender systems: A separate-space perspective
2015
- Real estate ranking via mixed land-use latent models
2015
- Method for metric ranking in invariant networks of distributed systems
2015
- Content-aware collaborative filtering for location recommendation based on human mobility data
2015
- Measure and Mitigate the Dimensional Bias in Online Reviews and Ratings.
2015
- Generative models for mining latent aspects and their ratings from short reviews
2015
- Personalized TV recommendation with mixture probabilistic matrix factorization
2015
- Information Coverage Maximization in Social Networks
2015
- Maximizing the coverage of information propagation in social networks
2015
- Predicting the popularity of online serials with autoregressive models
2014
- Heterogeneous metric learning with content-based regularization for software artifact retrieval
2014
- Sparse real estate ranking with online user reviews and offline moving behaviors
2014
- Investment recommendation in p2p lending: A portfolio perspective with risk management
2014
- Finding Well-Clusterable Subspaces for High Dimensional Data
2014
- Ranking metric anomaly in invariant networks
2014
- Mobile app recommendations with security and privacy awareness
2014
- Cost-aware collaborative filtering for travel tour recommendations
2014
- Time series classification using multi-channels deep convolutional neural networks
2014
- Exploiting geographic dependencies for real estate appraisal: A mutual perspective of ranking and clustering
2014
- Tracking the evolution of social emotions: A time-aware topic modeling perspective
2014
- A new framework for traffic anomaly detection
2014
- Proactive workflow modeling by stochastic processes with application to healthcare operation and management
2014
- Discovery of ranking fraud for mobile apps
2014
- Technology prospecting for high tech companies through patent mining
2014
- User preference learning with multiple information fusion for restaurant recommendation
2014
- Popularity modeling for mobile apps: A sequential approach
2014
- Finding Well-Clusterable Subspaces for High Dimensional Data: A Numerical One-Dimension Approach
2014
- Metric ranking of invariant networks with belief propagation
2014
- Recommendations in mobile and pervasive business environments
2013
- Feature selection for high-dimensional imbalanced data
2013
- Ranking fraud detection for mobile apps: A holistic view
2013
- Efficient invariant search for distributed information systems
2013
- Influential seed items recommendation
2012
- Stochastic unsupervised learning on unlabeled data
2012
- A stochastic model for context-aware anomaly detection in indoor location traces
2012
- Which distance metric is right: An evolutionary k-means view
2012
- Collaborative filtering with user ratings and tags
2012
- A cocktail approach for travel package recommendation
2012
- Multifocal learning for customer problem analysis
2011
- A taxi business intelligence system
2011
- Link graph analysis for business site selection
2011
- Personalized travel package recommendation
2011
- A taxi driving fraud detection system
2011
- Cost-aware travel tour recommendation
2011
- Collaborative filtering with collective training
2011
- Performing joint learning for passive intrusion detection in pervasive wireless environments
2010
- Direction clustering for characterizing movement patterns
2010
- An energy-efficient mobile recommender system
2010
- A collaborative approach for image annotation
2010
- Top-eye: Top-k evolving trajectory outlier detection
2010
- Multi-focal learning and its application to customer service support
2009
- A probability model for image annotation
2007
- Texture image retrieval using biorthogonal multiwavelet filters
2007
- Salience-Based Evaluation Strategy for Image Annotation
2007
- Salience preserving multi-focus image fusion
2007
- Novel method to learn region weighting from relevance feedback in image retrieval
2007