Hui Xiong
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Hui Xiongcomputer-science Degrees
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Data Mining
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Machine Learning
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Computer Science
Hui Xiong's Degrees
- Bachelors Computer Science University of Science and Technology of China
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(Suggest an Edit or Addition)Hui Xiong's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A Comprehensive Survey on Transfer Learning (2019) (1646)
- Understanding of Internal Clustering Validation Measures (2010) (803)
- Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting (2020) (725)
- Learning geographical preferences for point-of-interest recommendation (2013) (421)
- Preserving privacy in gps traces via uncertainty-aware path cloaking (2007) (380)
- An energy-efficient mobile recommender system (2010) (358)
- Discovering Urban Functional Zones Using Latent Activity Trajectories (2015) (343)
- Enhancing Security and Privacy in Traffic-Monitoring Systems (2006) (340)
- Sequential Recommender System based on Hierarchical Attention Networks (2018) (263)
- Adapting the right measures for K-means clustering (2009) (255)
- Instance-based credit risk assessment for investment decisions in P2P lending (2016) (249)
- Understanding and Enhancement of Internal Clustering Validation Measures (2013) (242)
- Deep Subdomain Adaptation Network for Image Classification (2020) (232)
- Enhancing data analysis with noise removal (2006) (226)
- Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking (2012) (216)
- Personalized Travel Package Recommendation (2011) (216)
- Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness (2013) (195)
- EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction (2019) (194)
- K-means clustering versus validation measures: a data distribution perspective (2006) (190)
- Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization (2016) (178)
- Mobile app recommendations with security and privacy awareness (2014) (173)
- K-Means-Based Consensus Clustering: A Unified View (2015) (173)
- A Taxi Driving Fraud Detection System (2011) (171)
- A cost-effective recommender system for taxi drivers (2014) (168)
- A General Geographical Probabilistic Factor Model for Point of Interest Recommendation (2015) (167)
- Dynamic Word Embeddings for Evolving Semantic Discovery (2017) (166)
- Semantics-Based Automated Service Discovery (2012) (159)
- Mining Mobile User Preferences for Personalized Context-Aware Recommendation (2014) (150)
- Cost-aware travel tour recommendation (2011) (142)
- A Cocktail Approach for Travel Package Recommendation (2014) (140)
- A Unified Framework for Metric Transfer Learning (2017) (137)
- Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework (2015) (136)
- Enhancing semi-supervised clustering: a feature projection perspective (2007) (132)
- Top-Eye: top-k evolving trajectory outlier detection (2010) (128)
- Topic Modeling of Short Texts: A Pseudo-Document View With Word Embedding Enhancement (2016) (119)
- Achieving Guaranteed Anonymity in GPS Traces via Uncertainty-Aware Path Cloaking (2010) (112)
- Transfer learning from multiple source domains via consensus regularization (2008) (110)
- Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference (2015) (108)
- K-means clustering versus validation measures: a data-distribution perspective. (2009) (104)
- Unified Point-of-Interest Recommendation with Temporal Interval Assessment (2016) (103)
- A semantic term weighting scheme for text categorization (2011) (100)
- Station Site Optimization in Bike Sharing Systems (2015) (95)
- Distributed classification in peer-to-peer networks (2007) (94)
- Discovery of maximum length frequent itemsets (2008) (91)
- Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering (2014) (89)
- Information propagation in online social networks: a tie-strength perspective (2011) (88)
- Mining Personal Context-Aware Preferences for Mobile Users (2012) (88)
- Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach (2014) (88)
- A Survey of Context-Aware Mobile Recommendations (2013) (87)
- Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors (2014) (86)
- Discovery of Ranking Fraud for Mobile Apps (2015) (85)
- Learning to Recommend Accurate and Diverse Items (2017) (84)
- Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps (2016) (83)
- Mobile App Classification with Enriched Contextual Information (2014) (80)
- Exploiting enriched contextual information for mobile app classification (2012) (78)
- A taxi business intelligence system (2011) (78)
- POI Recommendation: A Temporal Matching between POI Popularity and User Regularity (2016) (76)
- An Influence Propagation View of PageRank (2017) (74)
- High-dimensional kNN joins with incremental updates (2010) (74)
- Recurrent Convolutional Neural Network for Sequential Recommendation (2019) (71)
- PageRank with Priors: An Influence Propagation Perspective (2013) (70)
- Performing Joint Learning for Passive Intrusion Detection in Pervasive Wireless Environments (2010) (69)
- Local decomposition for rare class analysis (2007) (68)
- Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network (2019) (67)
- Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records (2016) (64)
- A Generalization of Distance Functions for Fuzzy $c$ -Means Clustering With Centroids of Arithmetic Means (2012) (63)
- Ranking user authority with relevant knowledge categories for expert finding (2014) (63)
- Representing Urban Functions through Zone Embedding with Human Mobility Patterns (2018) (62)
- Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective (2010) (60)
- The 2020 China report of the Lancet Countdown on health and climate change (2020) (60)
- Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization (2010) (59)
- COG: local decomposition for rare class analysis (2010) (58)
- Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction (2019) (58)
- An unsupervised approach to modeling personalized contexts of mobile users (2010) (57)
- A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users (2017) (57)
- Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification (2013) (56)
- Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion (2017) (55)
- Prospecting the Career Development of Talents: A Survival Analysis Perspective (2017) (54)
- External validation measures for K-means clustering: A data distribution perspective (2009) (54)
- Real Estate Ranking via Mixed Land-use Latent Models (2015) (54)
- Intelligent bus routing with heterogeneous human mobility patterns (2017) (53)
- Joint Representation Learning for Multi-Modal Transportation Recommendation (2019) (53)
- Talent Circle Detection in Job Transition Networks (2016) (53)
- Point-of-Interest Demand Modeling with Human Mobility Patterns (2017) (53)
- Unsupervised EEG feature extraction based on echo state network (2019) (52)
- Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach (2017) (52)
- Towards controlling virus propagation in information systems with point-to-group information sharing (2009) (51)
- Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization (2014) (50)
- Exploiting probabilistic topic models to improve text categorization under class imbalance (2011) (50)
- Exploiting associations between word clusters and document classes for cross‐domain text categorization † (2011) (48)
- Cost-Aware Collaborative Filtering for Travel Tour Recommendations (2014) (48)
- Popularity Modeling for Mobile Apps: A Sequential Approach (2015) (48)
- Ranking fraud detection for mobile apps: a holistic view (2013) (47)
- Distance metrics for high dimensional nearest neighborhood recovery: Compression and normalization (2012) (47)
- Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective (2016) (47)
- Enhancing recommender systems under volatile userinterest drifts (2009) (46)
- Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing (2014) (46)
- Towards expert finding by leveraging relevant categories in authority ranking (2011) (46)
- Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification (2012) (46)
- Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks (2020) (46)
- Multi-task Multi-view Learning for Heterogeneous Tasks (2014) (45)
- SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering (2013) (44)
- Adversarial Substructured Representation Learning for Mobile User Profiling (2019) (44)
- Time-aware metric embedding with asymmetric projection for successive POI recommendation (2018) (44)
- Scaling up top-K cosine similarity search (2011) (44)
- Scan Detection: A Data Mining Approach (2006) (44)
- Locating targets through mention in Twitter (2015) (43)
- SocoTraveler: Travel-package recommendations leveraging social influence of different relationship types (2016) (43)
- Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification (2010) (41)
- Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability (2019) (41)
- Enhancing investment decisions in P2P lending: an investor composition perspective (2011) (41)
- Coupled Layer-wise Graph Convolution for Transportation Demand Prediction (2020) (40)
- Towards understanding hierarchical clustering: A data distribution perspective (2009) (40)
- User Preference Learning with Multiple Information Fusion for Restaurant Recommendation (2014) (40)
- Multiple Relational Attention Network for Multi-task Learning (2019) (40)
- Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams (2017) (39)
- Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System (2019) (38)
- A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction (2019) (37)
- Data-driven Automatic Treatment Regimen Development and Recommendation (2016) (37)
- Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification" (2012) (37)
- A Theoretic Framework of K-Means-Based Consensus Clustering (2013) (35)
- Learning Career Mobility and Human Activity Patterns for Job Change Analysis (2015) (35)
- TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases (2006) (33)
- Days on Market: Measuring Liquidity in Real Estate Markets (2016) (33)
- Collaborative Company Profiling: Insights from an Employee's Perspective (2017) (33)
- Mining globally distributed frequent subgraphs in a single labeled graph (2009) (32)
- Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning (2021) (32)
- Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling (2019) (32)
- Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning (2015) (31)
- Web Service Discovery via Semantic Association Ranking and Hyperclique Pattern Discovery (2006) (31)
- Structural Analysis of User Choices for Mobile App Recommendation (2016) (30)
- Object-Oriented Travel Package Recommendation (2014) (30)
- Discovery of Evolving Semantics through Dynamic Word Embedding Learning (2017) (30)
- Spatio-Temporal Dual Graph Attention Network for Query-POI Matching (2020) (30)
- An Adaptive Semantic Filter for Blue Gene/L Failure Log Analysis (2007) (30)
- Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning (2019) (29)
- Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization (2009) (29)
- Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks (2020) (28)
- Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation (2017) (28)
- Predicting the Popularity of Online Serials with Autoregressive Models (2014) (28)
- Exploring the Impact of Dynamic Mutual Influence on Social Event Participation (2015) (28)
- A Data-driven Process Recommender Framework (2017) (27)
- A Generalization of Proximity Functions for K-Means (2007) (27)
- On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach (2012) (26)
- Multi-Modal Transportation Recommendation with Unified Route Representation Learning (2020) (26)
- Which startup to invest in: a personalized portfolio strategy (2018) (26)
- Exploiting Hierarchical Structures for POI Recommendation (2017) (26)
- Modeling Buying Motives for Personalized Product Bundle Recommendation (2017) (26)
- SAIL: summation-based incremental learning for information-theoretic clustering (2008) (26)
- Competitive Analysis for Points of Interest (2020) (26)
- Mining Indecisiveness in Customer Behaviors (2015) (26)
- An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications (2019) (26)
- Object discovery in high-resolution remote sensing images: a semantic perspective (2009) (26)
- Exploiting intra-day patterns for market shock prediction: A machine learning approach (2019) (25)
- Mining maximal hyperclique pattern: A hybrid search strategy (2007) (25)
- Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection (2015) (25)
- Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting (2019) (24)
- Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation (2019) (24)
- A Collaborative Learning Framework to Tag Refinement for Points of Interest (2019) (24)
- Hypergraph partitioning for document clustering: a unified clique perspective (2008) (24)
- Fast affinity propagation clustering based on incomplete similarity matrix (2017) (24)
- Secure information sharing and analysis for effective emergency management (2008) (23)
- BP-growth: Searching Strategies for Efficient Behavior Pattern Mining (2012) (23)
- Fused latent models for assessing product return propensity in online commerce (2016) (22)
- Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach (2014) (22)
- Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation (2022) (22)
- Discovery of College Students in Financial Hardship (2015) (22)
- Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation (2020) (22)
- Top-k Correlation Computation (2008) (22)
- Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data (2019) (22)
- Occupancy-Based Frequent Pattern Mining* (2015) (21)
- Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation (2020) (21)
- Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation (2016) (21)
- An Adaptive Framework Coping with Dynamic Target Speed for Device-Free Passive Localization (2015) (21)
- Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning (2012) (19)
- On the strength of hyperclique patterns for text categorization (2007) (19)
- Detecting and Tracking Topics and Events from Web Search Logs (2012) (19)
- Characterizing the life cycle of point of interests using human mobility patterns (2016) (19)
- Influential seed items recommendation (2012) (19)
- The minimum consistent subset cover problem and its applications in data mining (2007) (19)
- Ranking Metric Anomaly in Invariant Networks (2014) (18)
- A Proactive Workflow Model for Healthcare Operation and Management (2017) (18)
- Volatile correlation computation: a checkpoint view (2008) (17)
- Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns (2014) (17)
- Characterizing pattern preserving clustering (2009) (17)
- Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers (2013) (16)
- Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems (2013) (16)
- Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations (2015) (16)
- Predicting Temporal Sets with Deep Neural Networks (2020) (15)
- Slanderous user detection with modified recurrent neural networks in recommender system (2019) (15)
- A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation (2018) (15)
- Proactive workflow modeling by stochastic processes with application to healthcare operation and management (2014) (15)
- High-dimensional clustering: a clique-based hypergraph partitioning framework (2014) (15)
- Genetic-guided semi-supervised clustering algorithm with instance-level constraints (2008) (15)
- An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization (2020) (15)
- Attribute Graph Neural Networks for Strict Cold Start Recommendation (2022) (15)
- Buyer targeting optimization: A unified customer segmentation perspective (2016) (14)
- Deep multi-task learning with relational attention for business success prediction (2021) (14)
- Link Graph Analysis for Business Site Selection (2012) (14)
- Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (2010) (14)
- Price Shock Detection With an Influence-Based Model of Social Attention (2017) (14)
- Understanding and modelling information dissemination patterns in vehicle-to-vehicle networks (2015) (13)
- Multi-source Information Fusion for Personalized Restaurant Recommendation (2015) (13)
- Learning to annotate via social interaction analytics (2014) (13)
- A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces (2012) (13)
- Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach (2019) (13)
- A hybrid approach for mining maximal hyperclique patterns (2004) (13)
- Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation (2018) (13)
- Efficient karaoke song recommendation via multiple kernel learning approximation (2017) (13)
- Risk-Averse Classification (2018) (12)
- Tracking the evolution of social emotions with topic models (2016) (12)
- Product Quantized Collaborative Filtering (2021) (12)
- Spatial Object Recommendation with Hints: When Spatial Granularity Matters (2020) (12)
- Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval (2014) (11)
- Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective (2018) (11)
- Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine (2020) (11)
- Cluster Analysis in Data-Driven Management and Decisions (2017) (11)
- Validation of overlapping clustering: A random clustering perspective (2010) (11)
- Dual Sequential Network for Temporal Sets Prediction (2020) (11)
- Detecting Pickpocket Suspects from Large-Scale Public Transit Records (2019) (11)
- Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks (2020) (11)
- Collaborative filtering with collective training (2011) (10)
- Out-of-Town Recommendation with Travel Intention Modeling (2021) (10)
- NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks (2019) (10)
- Multifocal learning for customer problem analysis (2011) (10)
- Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning (2020) (10)
- Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling (2020) (10)
- Which Distance Metric is Right: An Evolutionary K-Means View (2012) (10)
- Comprehensive Semi-Supervised Multi-Modal Learning (2019) (10)
- Personalized Air Travel Prediction (2017) (10)
- A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis (2018) (10)
- An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data (2020) (9)
- Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective (2014) (9)
- Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery (2007) (9)
- Transit Pattern Detection Using Tensor Factorization (2019) (9)
- Mining Quantitative Maximal Hyperclique Patterns: A Summary of Results (2006) (9)
- Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective (2016) (9)
- Intent-Aware Audience Targeting for Ride-Hailing Service (2018) (8)
- Checkpoint evolution for volatile correlation computing (2011) (8)
- Inferring Lifetime Status of Point-of-Interest (2020) (8)
- Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback (2016) (8)
- Privacy leakage in multi-relational databases via pattern based semi-supervised learning (2005) (8)
- Warehouse Site Selection for Online Retailers in Inter-Connected Warehouse Networks (2017) (8)
- Direction clustering for characterizing movement patterns (2010) (8)
- SmartTransfer: Modeling the Spatiotemporal Dynamics of Passenger Transfers for Crowdedness-Aware Route Recommendations (2018) (8)
- Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network (2020) (8)
- Collaborative filtering with user ratings and tags (2012) (7)
- Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction (2020) (7)
- Remix in 3D Printing: What your Sources say About You (2015) (7)
- The Impact of Community Safety on House Ranking (2016) (7)
- Dancing with Trump in the Stock Market (2020) (7)
- Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities (2021) (7)
- To be or Not to be Friends: Exploiting Social Ties for Venture Investments (2016) (7)
- Technology Prospecting for High Tech Companies through Patent Mining (2014) (6)
- Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining (2020) (6)
- Geodemographic Influence Maximization (2020) (6)
- Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning (2018) (5)
- A Data Distribution View of Clustering Algorithms (2009) (5)
- Topic formation and development: a core-group evolving process (2014) (5)
- The Impact of Patent Activities on Stock Dynamics in the High-Tech Sector (2015) (5)
- Transportation Recommendation with Fairness Consideration (2021) (5)
- REMIX: Automated Exploration for Interactive Outlier Detection (2017) (5)
- Data clustering using virtual population based incremental learning algorithm with similarity matrix encoding strategy (2008) (5)
- Efficient Discovery of Confounders in Large Data Sets (2009) (5)
- Enhancing Employer Brand Evaluation with Collaborative Topic Regression Models (2020) (5)
- Stochastic Unsupervised Learning on Unlabeled Data (2011) (4)
- The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining (2013) (4)
- Privacy leakage in multi-relational databases: a semi-supervised learning perspective (2006) (4)
- Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop (2020) (4)
- Co-Preserving Patterns in Bipartite Partitioning for Topic Identification (2007) (4)
- Three Approximation Algorithms for Energy-Efficient Query Dissemination in Sensor Database System (2009) (4)
- ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented Initialization (2008) (4)
- Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance (2021) (4)
- Forecasting the rise and fall of volatile point-of-interests (2017) (3)
- SmartTransfer (2018) (3)
- An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction (2019) (3)
- Paradoxical Correlation Pattern Mining (2018) (3)
- A Discovery System for Finding High-Value Homes (2015) (3)
- Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model (2016) (3)
- Enhancing Privacy Preservation of Anonymous Location Sampling Techniques in Traffic Monitoring Systems (2006) (3)
- Knowledge graph embedding with shared latent semantic units (2021) (3)
- Developing Fairness Rules for Talent Intelligence Management System (2020) (3)
- Detect Professional Malicious User With Metric Learning in Recommender Systems (2022) (3)
- A semi-supervised attention model for identifying authentic sneakers (2020) (3)
- Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach (2021) (3)
- Why We Go Where We Go: Profiling User Decisions on Choosing POIs (2020) (3)
- Multi-focal learning and its application to customer service support (2009) (3)
- Learning Adaptive Embedding Considering Incremental Class (2020) (3)
- Adaptive label-driven scaling for latent semantic indexing (2008) (3)
- Ensemble of Anchor Adapters for Transfer Learning (2016) (3)
- Clustering High-frequency Stock Data for Trading Volatility Analysis (2010) (3)
- Description Generation for Points of Interest (2021) (2)
- Knowledge triple mining via multi-task learning (2019) (2)
- Adapting the Right Measures for Pattern Discovery: A Unified View (2012) (2)
- KM 3.0: Knowledge Management Computing Under Digital Economy (2020) (2)
- Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning (2020) (2)
- Joint Intent Detection and Entity Linking on Spatial Domain Queries (2020) (2)
- Diagnostic Sparse Connectivity Networks With Regularization Template (2021) (2)
- Déjà Vu: Assessing Similarity between Service Contracts for Risk Prediction (2014) (2)
- Representation Learning on Knowledge Graphs for Node Importance Estimation (2021) (2)
- $\mathsf{NCF}$NCF: A Neural Context Fusion Approach to Raw Mobility Annotation (2020) (1)
- Correlation analysis: from computational hardness to practical success (2011) (1)
- Discovery of Jump Breaks in Joint Volatility for Volume and Price of High-Frequency Trading Data in China (2017) (1)
- What's behind topic formation and development: a perspective of community core groups (2009) (1)
- S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification (2020) (1)
- Information propagation in online social networks: a tie-strength perspective (2011) (1)
- CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation (2021) (1)
- Hierarchical Demand Forecasting for Factory Production of Perishable Goods (2019) (1)
- Convex Matrix Completion: A Trace-Ball Optimization Perspective (2015) (1)
- Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation (2020) (1)
- Finding Well-Clusterable Subspaces for High Dimensional Data - A Numerical One-Dimension Approach (2014) (0)
- Neural Serendipity Recommendation (2020) (0)
- Pseudo-Document-based Topic Modeling of Short Texts without Auxiliary Information (2016) (0)
- COSI-: Identification of Cosine Interesting Patterns Based on FP-tree (2010) (0)
- Session details: Research track 1: link and click prediction (2010) (0)
- Message from the General Chairs of DSC 2020 (2020) (0)
- Sequential Pattern Analysis with Right Granularity (2014) (0)
- Automatic Treatment Regimen Design (2021) (0)
- Adapting association patterns for text categorization: weaknesses and enhancements (2006) (0)
- Session details: Research track 20: evolving and spatial data (2010) (0)
- COSI-tree : Identification of Cosine Interesting Patterns Based on FP-tree (2010) (0)
- Learning a Hierarchical Intent Model for Next-Item Recommendation (2021) (0)
- Pattern Preserving Clustering (2009) (0)
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