En-hong Chen
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En-hong Chen's AcademicInfluence.com Rankings
En-hong Chenengineering Degrees
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Electrical Engineering
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En-hong Chencomputer-science Degrees
Computer Science
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Information Management
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Algorithms
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Artificial Intelligence
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Engineering Computer Science
En-hong Chen's Degrees
- PhD Electrical Engineering National Taiwan University
- Masters Electrical Engineering National Taiwan University
- Bachelors Electrical Engineering National Taiwan University
Why Is En-hong Chen Influential?
(Suggest an Edit or Addition)En-hong Chen'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
- Image Denoising and Inpainting with Deep Neural Networks (2012) (1315)
- Context-aware query suggestion by mining click-through and session data (2008) (600)
- GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation (2014) (560)
- Learning Deep Representations for Graph Clustering (2014) (520)
- Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks (2014) (475)
- Kineograph: taking the pulse of a fast-changing and connected world (2012) (271)
- Personalized Travel Package Recommendation (2011) (216)
- Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking (2012) (216)
- KV-Direct: High-Performance In-Memory Key-Value Store with Programmable NIC (2017) (215)
- EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction (2019) (194)
- A Dataset for Research on Short-Text Conversations (2013) (187)
- Chronos: a graph engine for temporal graph analysis (2014) (186)
- Context-aware query classification (2009) (177)
- Mobile app recommendations with security and privacy awareness (2014) (173)
- Context-aware ranking in web search (2010) (172)
- Exploiting multi-channels deep convolutional neural networks for multivariate time series classification (2016) (168)
- Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors (2018) (154)
- Mining Mobile User Preferences for Personalized Context-Aware Recommendation (2014) (150)
- A Probabilistic Model for Learning Multi-Prototype Word Embeddings (2014) (148)
- Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data (2015) (146)
- A Cocktail Approach for Travel Package Recommendation (2014) (140)
- Exercise-Enhanced Sequential Modeling for Student Performance Prediction (2018) (133)
- Chinese Poetry Generation with Planning based Neural Network (2016) (121)
- Towards context-aware search by learning a very large variable length hidden markov model from search logs (2009) (121)
- Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective (2015) (120)
- Constructing dummy query sequences to protect location privacy and query privacy in location-based services (2020) (107)
- Variance Reduced Local SGD with Lower Communication Complexity (2019) (103)
- Joint Training for Neural Machine Translation Models with Monolingual Data (2018) (102)
- A semantic term weighting scheme for text categorization (2011) (100)
- Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach (2018) (99)
- Geography-Aware Sequential Location Recommendation (2020) (99)
- Style Transfer as Unsupervised Machine Translation (2018) (97)
- Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services (2017) (95)
- Neural Cognitive Diagnosis for Intelligent Education Systems (2019) (92)
- 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)
- Question Difficulty Prediction for READING Problems in Standard Tests (2017) (86)
- Discovery of Ranking Fraud for Mobile Apps (2015) (85)
- Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels (2014) (84)
- Co-Attentive Multi-Task Learning for Explainable Recommendation (2019) (82)
- CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction (2015) (81)
- A dummy-based user privacy protection approach for text information retrieval (2020) (81)
- Mobile App Classification with Enriched Contextual Information (2014) (80)
- An efficient Wikipedia semantic matching approach to text document classification (2017) (79)
- Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach (2019) (78)
- Exploiting enriched contextual information for mobile app classification (2012) (78)
- An Influence Propagation View of PageRank (2017) (74)
- Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection (2020) (74)
- A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services (2020) (73)
- GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization (2018) (73)
- Fuzzy Cognitive Diagnosis for Modelling Examinee Performance (2018) (72)
- ImmortalGraph: A System for Storage and Analysis of Temporal Graphs (2015) (72)
- PageRank with Priors: An Influence Propagation Perspective (2013) (70)
- Cognitive Modelling for Predicting Examinee Performance (2015) (70)
- XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music (2018) (70)
- Leveraging tagging for neighborhood-aware probabilistic matrix factorization (2012) (69)
- MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network (2019) (67)
- A habit mining approach for discovering similar mobile users (2012) (66)
- Personalized next-song recommendation in online karaokes (2013) (64)
- Ranking user authority with relevant knowledge categories for expert finding (2014) (63)
- ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction (2020) (63)
- An effective approach for mining mobile user habits (2010) (62)
- Exploiting MultiChannels Deep Convolutional Neural Networks for Multivariate Time Series Classification (2015) (60)
- Finding Similar Exercises in Online Education Systems (2018) (60)
- Community Detection Based on Structure and Content: A Content Propagation Perspective (2015) (59)
- Exploiting Cognitive Structure for Adaptive Learning (2019) (58)
- An unsupervised approach to modeling personalized contexts of mobile users (2010) (57)
- Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach (2019) (56)
- Multi-Path Transport for RDMA in Datacenters (2018) (56)
- A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network (2009) (55)
- A topic modeling based approach to novel document automatic summarization (2017) (55)
- Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process (2020) (55)
- Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation (2019) (54)
- Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions (2018) (53)
- Efficient strategies for tough aggregate constraint-based sequential pattern mining (2008) (52)
- Regularizing Neural Machine Translation by Target-bidirectional Agreement (2018) (52)
- Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion (2011) (51)
- Exploiting probabilistic topic models to improve text categorization under class imbalance (2011) (50)
- Interactive Attention Transfer Network for Cross-Domain Sentiment Classification (2018) (50)
- Tracking Knowledge Proficiency of Students with Educational Priors (2017) (49)
- Incorporating BERT into Parallel Sequence Decoding with Adapters (2020) (48)
- Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding (2016) (48)
- Popularity Modeling for Mobile Apps: A Sequential Approach (2015) (48)
- Ranking fraud detection for mobile apps: a holistic view (2013) (47)
- Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective (2016) (47)
- Towards expert finding by leveraging relevant categories in authority ranking (2011) (46)
- Towards Explainable Conversational Recommendation (2020) (46)
- Semi-Supervised Neural Architecture Search (2020) (46)
- Portfolio Selections in P2P Lending: A Multi-Objective Perspective (2016) (46)
- Enhancing recommender systems under volatile userinterest drifts (2009) (46)
- Improving search relevance for short queries in community question answering (2014) (45)
- A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending (2018) (45)
- LightRec: A Memory and Search-Efficient Recommender System (2020) (45)
- Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation (2020) (44)
- On Approximation of Real-World Influence Spread (2012) (43)
- Personalized Ranking with Importance Sampling (2020) (43)
- Activity Maximization by Effective Information Diffusion in Social Networks (2016) (43)
- Exploring Multi-Objective Exercise Recommendations in Online Education Systems (2019) (42)
- Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding (2020) (41)
- Diversified social influence maximization (2014) (41)
- DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis (2019) (40)
- Real-time earthquake monitoring using a search engine method (2014) (40)
- Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains (2019) (39)
- Multiple Pairwise Ranking with Implicit Feedback (2018) (38)
- Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management (2014) (38)
- An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment (2020) (37)
- Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective (2016) (37)
- Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference (2019) (37)
- A Novelty-Seeking based Dining Recommender System (2015) (36)
- Study on Information Diffusion Analysis in Social Networks and Its Applications (2018) (36)
- One more queue is enough: Minimizing flow completion time with explicit priority notification (2017) (36)
- Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students (2020) (35)
- Security Control Redundancy Allocation Technology and Security Keys Based on Internet of Things (2018) (35)
- STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control (2019) (34)
- Learning recency based comparative choice towards point-of-interest recommendation (2015) (34)
- DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis (2021) (34)
- Profit-based scheduling and channel allocation for multi-item requests in real-time on-demand data broadcast systems (2012) (33)
- Days on Market: Measuring Liquidity in Real Estate Markets (2016) (33)
- A two-stage 3D CNN based learning method for spontaneous micro-expression recognition (2021) (32)
- A United Approach to Learning Sparse Attributed Network Embedding (2018) (32)
- Prediction for Mobile Application Usage Patterns (2012) (32)
- Exploring the Emerging Type of Comment for Online Videos (2017) (32)
- Tracking Influential Individuals in Dynamic Networks (2017) (32)
- Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation (2018) (32)
- A Chord-Based Novel Mobile Peer-to-Peer File Sharing Protocol (2006) (32)
- Finding Gangs in War from Signed Networks (2016) (31)
- Structure-based Knowledge Tracing: An Influence Propagation View (2020) (31)
- A Survey of Knowledge Tracing (2021) (31)
- Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search (2021) (30)
- Object-Oriented Travel Package Recommendation (2014) (30)
- DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching (2019) (30)
- Improving contextual advertising matching by using Wikipedia thesaurus knowledge (2015) (30)
- Finding potential lenders in P2P lending: A Hybrid Random Walk Approach (2018) (29)
- Predicting the Popularity of Online Serials with Autoregressive Models (2014) (28)
- Exploring the Impact of Dynamic Mutual Influence on Social Event Participation (2015) (28)
- Neural Architecture Search with GBDT (2020) (27)
- Learning Process-consistent Knowledge Tracing (2021) (27)
- Analyzing Location Predictability on Location-Based Social Networks (2014) (27)
- MCNE (2019) (27)
- Tracking the Dynamics in Crowdfunding (2017) (27)
- Relevance Meets Coverage (2016) (26)
- Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction (2020) (26)
- Mining Indecisiveness in Customer Behaviors (2015) (26)
- Adam revisited: a weighted past gradients perspective (2020) (26)
- Budgeted Policy Learning for Task-Oriented Dialogue Systems (2019) (25)
- Learning from Macro-expression: a Micro-expression Recognition Framework (2020) (25)
- Sparse Factorization Machines for Click-through Rate Prediction (2016) (25)
- SADAGRAD: Strongly Adaptive Stochastic Gradient Methods (2018) (25)
- An effective approach for the protection of privacy text data in the CloudDB (2018) (25)
- Confidence-Aware Matrix Factorization for Recommender Systems (2018) (25)
- HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem (2021) (25)
- Hierarchical Personalized Federated Learning for User Modeling (2021) (24)
- Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation (2019) (24)
- Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective (2014) (24)
- HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation (2021) (24)
- Maximizing the Coverage of Information Propagation in Social Networks (2015) (24)
- Learning to Infer the Status of Heavy-Duty Sensors for Energy-Efficient Context-Sensing (2012) (24)
- Executing SQL queries over encrypted character strings in the Database-As-Service model (2012) (24)
- Personalized Employee Training Course Recommendation with Career Development Awareness (2020) (23)
- Exploiting Task-Feature Co-Clusters in Multi-Task Learning (2015) (23)
- BP-growth: Searching Strategies for Efficient Behavior Pattern Mining (2012) (23)
- GraphMI: Extracting Private Graph Data from Graph Neural Networks (2021) (23)
- Task Allocation on Nonvolatile-Memory-Based Hybrid Main Memory (2013) (23)
- Sampling-Decomposable Generative Adversarial Recommender (2020) (23)
- Large-Scale Talent Flow Embedding for Company Competitive Analysis (2020) (22)
- Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach (2014) (22)
- Discovery of College Students in Financial Hardship (2015) (22)
- Probabilistic SVM classifier ensemble selection based on GMDH-type neural network (2020) (22)
- A Structure-Enriched Neural Network for network embedding (2019) (22)
- Collaborative Learning Team Formation: A Cognitive Modeling Perspective (2016) (22)
- Bidirectional Generative Adversarial Networks for Neural Machine Translation (2018) (22)
- QuesNet: A Unified Representation for Heterogeneous Test Questions (2019) (21)
- Occupancy-Based Frequent Pattern Mining* (2015) (21)
- Stack-based Multi-layer Attention for Transition-based Dependency Parsing (2017) (21)
- Progressive Pseudo-analog Transmission for Mobile Video Streaming (2017) (21)
- Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis (2018) (21)
- A Nonconvex Relaxation Approach for Rank Minimization Problems (2015) (21)
- Robust Spammer Detection in Microblogs (2017) (21)
- Constructing plausible innocuous pseudo queries to protect user query intention (2015) (21)
- Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View (2016) (21)
- MMEA: Entity Alignment for Multi-modal Knowledge Graph (2020) (20)
- Incremental Matrix Factorization: A Linear Feature Transformation Perspective (2017) (20)
- Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning (2012) (19)
- Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? (2019) (19)
- Towards Annotating Media Contents through Social Diffusion Analysis (2012) (19)
- Influential seed items recommendation (2012) (19)
- Facial Expression Recognition via Broad Learning System (2018) (19)
- On the strength of hyperclique patterns for text categorization (2007) (19)
- Discrete Matrix Factorization and Extension for Fast Item Recommendation (2021) (19)
- Transcribing Content from Structural Images with Spotlight Mechanism (2018) (18)
- Patent Quality Valuation with Deep Learning Models (2018) (18)
- An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices (2022) (18)
- Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response (2017) (18)
- A Context-Enriched Neural Network Method for Recognizing Lexical Entailment (2017) (18)
- Recommendations Based on Collaborative Filtering by Exploiting Sequential Behaviors: Recommendations Based on Collaborative Filtering by Exploiting Sequential Behaviors (2014) (18)
- From Footprint to Evidence (2016) (18)
- GeoMF++ (2018) (18)
- Memory Efficient Loss Recovery for Hardware-based Transport in Datacenter (2017) (17)
- An ontology learning method enhanced by frame semantics (2005) (17)
- SPINE: Structural Identity Preserved Inductive Network Embedding (2018) (17)
- Drug Package Recommendation via Interaction-aware Graph Induction (2021) (17)
- Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data (2018) (17)
- Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems (2021) (16)
- Systematically testing background services of mobile apps (2017) (16)
- Dynamic Clustering Using Multi-objective Evolutionary Algorithm (2005) (16)
- Performance Enhancement Factors of ERP Projects in a Telecom Public Sector Organization of Pakistan : An Exploratory Study (2012) (16)
- A Novel Automatic Text Summarization Study Based on Term Co-Occurrence (2006) (16)
- Probabilistic solutions of influence propagation on social networks (2013) (16)
- Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model (2019) (16)
- Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction (2018) (15)
- Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training (2021) (15)
- Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective (2019) (15)
- Solving link-oriented tasks in signed network via an embedding approach (2017) (15)
- Maximum a Posteriori Estimation for Information Source Detection (2020) (14)
- Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification (2015) (14)
- Preference-Adaptive Meta-Learning for Cold-Start Recommendation (2021) (14)
- TextCC: New Feed Forward Neural Network for Classifying Documents Instantly (2005) (14)
- Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (2010) (14)
- Optimal task allocation on non-volatile memory based hybrid main memory (2011) (14)
- Attentive Heterogeneous Graph Embedding for Job Mobility Prediction (2021) (14)
- A contextual collaborative approach for app usage forecasting (2016) (14)
- Trend-Aware Tensor Factorization for Job Skill Demand Analysis (2019) (14)
- Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference (2018) (14)
- Combining contextual neural networks for time series classification (2020) (14)
- Min-energy scheduling for aligned jobs in accelerate model (2009) (14)
- Efficient Pure Exploration in Adaptive Round model (2019) (14)
- Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective (2017) (14)
- GEAM: A General and Event-Related Aspects Model for Twitter Event Detection (2013) (14)
- Information Source Detection via Maximum A Posteriori Estimation (2015) (14)
- Cell Oscillation Resolution in Mobility Profile Building (2012) (13)
- Group Preference Aggregation: A Nash Equilibrium Approach (2016) (13)
- Efficient karaoke song recommendation via multiple kernel learning approximation (2017) (13)
- High Utility Episode Mining Made Practical and Fast (2014) (13)
- Adaptive caching with heterogeneous devices in mobile peer to peer network (2008) (13)
- Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements (2020) (13)
- Learning to annotate via social interaction analytics (2014) (13)
- From Social User Activities to People Affiliation (2013) (13)
- Collaborative List-and-Pairwise Filtering From Implicit Feedback (2022) (13)
- Neural Mathematical Solver with Enhanced Formula Structure (2020) (13)
- Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training (2021) (12)
- MARS: A multi-aspect Recommender system for Point-of-Interest (2015) (12)
- Product Quantized Collaborative Filtering (2021) (12)
- Question recommendation for user-interactive question answering systems (2008) (12)
- Balanced One-shot Neural Architecture Optimization (2019) (12)
- A vlHMM approach to context-aware search (2013) (12)
- xLightFM: Extremely Memory-Efficient Factorization Machine (2021) (12)
- Revisiting bound estimation of pattern measures: A generic framework (2016) (12)
- Mining Density Contrast Subgraphs (2018) (12)
- Temporally Adaptive Restricted Boltzmann Machine for Background Modeling (2015) (12)
- Stylus: A Strongly-Typed Store for Serving Massive RDF Data (2017) (12)
- Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis (2022) (12)
- An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling (2009) (12)
- Tracking the evolution of social emotions with topic models (2016) (12)
- An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers (2017) (12)
- Benefit based cache data placement and update for mobile peer to peer networks (2010) (11)
- Agent Behavior Prediction and Its Generalization Analysis (2014) (11)
- Modeling Context-aware Features for Cognitive Diagnosis in Student Learning (2021) (11)
- Character-Oriented Video Summarization With Visual and Textual Cues (2020) (11)
- Finding Experts in Tag Based Knowledge Sharing Communities (2011) (11)
- DisenQNet: Disentangled Representation Learning for Educational Questions (2021) (11)
- Incorporating Spatio-Temporal Smoothness for Air Quality Inference (2017) (11)
- Federated Deep Knowledge Tracing (2021) (11)
- Understanding and Improving One-shot Neural Architecture Optimization (2019) (11)
- Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks (2020) (11)
- Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph (2015) (11)
- Ensemble Pruning via Constrained Eigen-Optimization (2012) (11)
- An approach for the protection of users' book browsing preference privacy in a digital library (2018) (11)
- Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection (2022) (10)
- Understanding the Users and Videos by Mining a Novel Danmu Dataset (2019) (10)
- Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty (2021) (10)
- Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective (2021) (10)
- Harnessing the wisdom of the crowds for accurate web page clipping (2012) (10)
- A new approach to query segmentation for relevance ranking in web search (2013) (10)
- Neurally-Guided Semantic Navigation in Knowledge Graph (2018) (10)
- Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering (2019) (9)
- Reinforcement Routing on Proximity Graph for Efficient Recommendation (2022) (9)
- XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction (2021) (9)
- Learning User Preferences across Multiple Aspects for Merchant Recommendation (2015) (9)
- Learning the Implicit Semantic Representation on Graph-Structured Data (2021) (9)
- Influential nodes selection: a data reconstruction perspective (2014) (9)
- CEPR (2015) (9)
- Context-Aware Generation-Based Net For Multi-Label Visual Emotion Recognition (2020) (9)
- Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective (2014) (9)
- S7commTrace: A High Interactive Honeypot for Industrial Control System Based on S7 Protocol (2017) (9)
- Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework (2014) (9)
- Linear Computation for Independent Social Influence (2013) (9)
- Product Adoption Rate Prediction in a Competitive Market (2018) (8)
- Is Sampling Heuristics Necessary in Training Deep Object Detectors (2019) (8)
- Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking (2020) (8)
- Identifying Hesitant and Interested Customers for Targeted Social Marketing (2015) (8)
- Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network (2020) (8)
- Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective (2017) (8)
- D-LSTM: Short-Term Road Traffic Speed Prediction Model Based on GPS Positioning Data (2020) (8)
- Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach (2018) (8)
- Personalized Query Auto-Completion for Large-Scale POI Search at Baidu Maps (2020) (8)
- Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation (2019) (8)
- Storage Device Performance Prediction with Hybrid Regression Models (2012) (8)
- Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching (2021) (8)
- Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree (2010) (8)
- Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect (2022) (8)
- Enterprise Resource Planning - Real blessing or a Blessing in Disguise : An Exploration of the Contextual Factors in Public Sector (2012) (8)
- Towards A Contextual and Scalable Automated-testing Service for Mobile Apps (2017) (8)
- Pop Music Generation (2020) (8)
- EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis (2021) (8)
- Discerning individual interests and shared interests for social user profiling (2017) (8)
- Learning to detect subway arrivals for passengers on a train (2014) (8)
- Optimal tree structures for group key tree management considering insertion and deletion cost (2008) (8)
- Precise Location Acquisition of Mobility Data Using Cell-id (2012) (8)
- A novel three-phase XML twig pattern matching algorithm based on version tree (2011) (8)
- Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page (2013) (8)
- STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control (2019) (8)
- A Novel Hybrid Particle Swarm Optimization for Feature Selection and Kernel Optimization in Support Vector Regression (2010) (8)
- Patent2Vec: Multi-view representation learning on patent-graphs for patent classification (2021) (8)
- Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach (2012) (7)
- Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data (2019) (7)
- Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification (2021) (7)
- STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation (2020) (7)
- The Propagation Background in Social Networks: Simulating and Modeling (2020) (7)
- MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment (2018) (7)
- Matrix Factorization with Scale-Invariant Parameters (2015) (7)
- Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN (2021) (7)
- An experimental study on joint modeling of mixed-bandwidth data via deep neural networks for robust speech recognition (2016) (7)
- Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing (2020) (7)
- A Variational Point Process Model for Social Event Sequences (2020) (7)
- Deep Technology Tracing for High-Tech Companies (2019) (7)
- HC_AB: A new heuristic clustering algorithm based on Approximate Backbone (2011) (7)
- Collaborative filtering with user ratings and tags (2012) (7)
- Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data (2019) (7)
- Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement (2021) (7)
- Product Adoption Rate Prediction: A Multi-factor View (2015) (7)
- Aftershock Detection with Multi-scale Description Based Neural Network (2019) (7)
- Tracking Influential Nodes in Dynamic Networks (2016) (7)
- Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation (2019) (7)
- A hybrid neural network for predicting Days on Market a measure of liquidity in real estate industry (2020) (6)
- ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition (2022) (6)
- Is Heuristic Sampling Necessary in Training Deep Object Detectors? (2019) (6)
- Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation (2021) (6)
- Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach (2021) (6)
- Interaction-aware Drug Package Recommendation via Policy Gradient (2022) (6)
- Admission Control and Channel Allocation of Multi-item Requests for Real-Time Data Broadcast (2012) (6)
- Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis (2021) (6)
- Feature Selection with Integrated Relevance and Redundancy Optimization (2015) (6)
- Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering (2021) (6)
- Automatic Domain Ontology Generation from Web sites (2005) (5)
- Product Supply Optimization for Crowdfunding Campaigns (2020) (5)
- Personal Credit Profiling via Latent User Behavior Dimensions on Social Media (2016) (5)
- Gaussian Process for Recommender Systems (2011) (5)
- Maximizing the Effect of Information Adoption: A General Framework (2018) (5)
- Entity Summarization via Exploiting Description Complementarity and Salience. (2022) (5)
- Random Walk with Pre-filtering for Social Link Prediction (2013) (5)
- Social Context-aware Person Search in Videos via Multi-modal Cues (2021) (5)
- Social User Profiling: A Social-Aware Topic Modeling Perspective (2017) (5)
- Color Enhanced Cross Correlation Net for Image Sentiment Analysis (2021) (5)
- Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference (2021) (5)
- SPF-A*: Searching Multimedia Data in Heterogeneous Mobile P2P Network (2009) (5)
- Residual Objectness for Imbalance Reduction (2019) (5)
- A projective clustering algorithm based on significant local dense areas (2012) (5)
- Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation (2022) (5)
- Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective (2016) (5)
- FAMGAN: Fine-grained AUs Modulation based Generative Adversarial Network for Micro-Expression Generation (2021) (5)
- Loop fusion and reordering for register file optimization on stream processors (2011) (5)
- Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities (2012) (5)
- An Unsupervised Approach for Low-Quality Answer Detection in Community Question-Answering (2017) (5)
- Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment (2022) (4)
- RESEARCH AND IMPLEMENTATION OF A CONTENT-BASED EMOTIONAL IMAGE RETRIEVAL MODEL (2003) (4)
- UPCA: An efficient URL-Pattern based algorithm for accurate web page classification (2015) (4)
- SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation (2021) (4)
- Optimal key tree structure for two-user replacement and deletion problems (2013) (4)
- Matching of social events and users: a two-way selection perspective (2019) (4)
- Chinese Embedding via Stroke and Glyph Information: A Dual-channel View (2019) (4)
- Novel multi-convolutional neural network fusion approach for smile recognition (2018) (4)
- Optimal Key Tree Structure for Deleting Two or More Leaves (2008) (4)
- Semi-Structured Data Extraction and Schema Knowledge Mining (1999) (4)
- Learning Recommenders for Implicit Feedback with Importance Resampling (2022) (4)
- Multi-view learning with batch mode active selection for image retrieval (2012) (4)
- Cross-modal video moment retrieval based on visual-textual relationship alignment (2020) (4)
- Accuracy Prediction with Non-neural Model for Neural Architecture Search (2020) (4)
- Neural Response Generation with Relevant Emotions for Short Text Conversation (2019) (4)
- Probabilistic Model for Syntactic and Semantic Dependency Parsing (2008) (4)
- Distributed real-time knowledge graph serving (2015) (4)
- Understanding the mechanism of social tie in the propagation process of social network with communication channel (2019) (4)
- VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction (2021) (4)
- SIIPU*S: A Semantic Pattern Learning Algorithm (2006) (4)
- Zero-Shot Learning: An Energy Based Approach (2018) (3)
- On top-k closed sequential patterns mining (2014) (3)
- Predicting Human Mobility with Self-attention and Feature Interaction (2020) (3)
- Decoupled Representation Learning for Attributed Networks (2021) (3)
- Supporting multi-level quality of services in data broadcast systems (2012) (3)
- Learning to Detect the Subway Station Arrival for Mobile Users (2013) (3)
- Leveraging proficiency and preference for online Karaoke recommendation (2019) (3)
- Kansei-Oriented Image Retrieval (2001) (3)
- Interpretable Cognitive Diagnosis with Neural Network (2019) (3)
- A Trend-aware Investment Target Recommendation System with Heterogeneous Graph (2021) (3)
- Speed scaling problems with memory/cache consideration (2012) (3)
- Explainable Social Contextual Image Recommendation with Hierarchical Attention (2018) (3)
- El-Picker: a machine learning-enhanced robust P-phase picker for real-time seismic monitoring (2019) (3)
- Multiple graph kernel learning based on GMDH-type neural network (2021) (3)
- Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems (2019) (3)
- Enabling personalization recommendation with WeightedFP for text information retrieval based on user-focus (2004) (3)
- CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction (2022) (3)
- Automatic question answering from Web documents (2007) (3)
- Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model (2016) (3)
- Towards Automatic Job Description Generation With Capability-Aware Neural Networks (2023) (3)
- Individual Influence Maximization via Link Recommendation (2015) (3)
- Technical Phrase Extraction for Patent Mining: A Multi-level Approach (2020) (3)
- Unsupervised User Similarity Mining in GSM Sensor Networks (2013) (3)
- Online Additive Quantization (2021) (3)
- Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains (2016) (3)
- Adaptive label-driven scaling for latent semantic indexing (2008) (3)
- Anisotropic Additive Quantization for Fast Inner Product Search (2022) (3)
- Domain Adaption for Knowledge Tracing (2020) (3)
- Improving Neural Machine Translation with Neural Sentence Rewriting (2018) (3)
- STAN: Adversarial Network for Cross-domain Question Difficulty Prediction (2021) (3)
- Profit-based on-demand broadcast scheduling of real-time multi-item requests (2010) (3)
- An Instance Learning Approach for Automatic Semantic Annotation (2004) (3)
- Socializing the Videos: A Multimodal Approach for Social Relation Recognition (2021) (3)
- Tradeoffs between density and size in extracting dense subgraphs: A unified framework (2016) (3)
- Towards Variable-Length Textual Adversarial Attacks (2021) (3)
- Spatial Outlier Detection from GSM Mobility Data (2012) (2)
- AdaptKT: A Domain Adaptable Method for Knowledge Tracing (2022) (2)
- Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness (2021) (2)
- Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems (2019) (2)
- A Novel Approach of Table Detection and Analysis for Semantic Annotation (2006) (2)
- Selecting Valuable Customers for Merchants in E-Commerce Platforms (2016) (2)
- Coarse-To-Fine Learning for Neural Machine Translation (2018) (2)
- Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction (2022) (2)
- Exploiting Self-Supervised and Semi-Supervised Learning for Facial Landmark Tracking with Unlabeled Data (2020) (2)
- Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective (2021) (2)
- Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier (2010) (2)
- Messages Ranking in Social Network (2012) (2)
- Mining user tasks from print logs (2014) (2)
- An empirical analysis on the behavioral differentia of the “Elite-Civilian” users in Sina microblog (2020) (2)
- Incorporating User Preferences Across Multiple Topics into Collaborative Filtering for Personalized Merchant Recommendation (2017) (2)
- Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering (2017) (2)
- Information Coverage Maximization in Social Networks (2015) (2)
- One Person, One Model—Learning Compound Router for Sequential Recommendation (2022) (2)
- Dirt (1882) (2)
- Tracking Top-K Influential Vertices in Dynamic Networks (2018) (2)
- SVM Based Automatic User Profile Construction for Personalized Search (2005) (2)
- Finding Theme Communities from Database Networks (2017) (2)
- APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags (2011) (2)
- Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems (2020) (2)
- Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling (2021) (2)
- Tracking Top-k Influential Users with Relative Errors (2019) (2)
- Ranking-Based Implicit Regularization for One-Class Collaborative Filtering (2022) (2)
- Mining Frequent Patterns in Print Logs with Semantically Alternative Labels (2013) (2)
- A Markov Chain Monte Carlo Approach for Source Detection in Networks (2017) (2)
- Context-Aware Dual-Attention Network for Natural Language Inference (2019) (2)
- Video emotion analysis enhanced by recognizing emotion in video comments (2022) (2)
- Graph-Based Answer Passage Ranking for Question Answering (2010) (2)
- Mining User's Location Intention from Mobile Search Log (2015) (2)
- An Algorithm for Fast Recognition of Connected Row-Convex Constraint Networks (2001) (2)
- Extending CC4 Neural Networks to Classify Real Life Documents (2004) (1)
- QuesNet (2019) (1)
- Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region (2016) (1)
- Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction (2015) (1)
- Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification (2023) (1)
- Unpaired Multimodal Neural Machine Translation via Reinforcement Learning (2021) (1)
- Detecting Highlighted Video Clips Through Emotion-Enhanced Audio-Visual Cues (2021) (1)
- LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching (2021) (1)
- Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure (2021) (1)
- Efficient Incremental Pattern Mining from Semi-structured Dataset (2004) (1)
- Convex Matrix Completion: A Trace-Ball Optimization Perspective (2015) (1)
- Efficient Personalized Recommendation of Mobile Web Content Using an EM-Based Clustering Method (2014) (1)
- Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition (2021) (1)
- Energy optimal schedules for jobs with multiple active intervals (2010) (1)
- Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network (2021) (1)
- Research on Temperature and Humidity Prediction Model of Granary Based on RNN-LSTM (2020) (1)
- User-Focus Based Personalization Recommendation for Text Information Retrieval (2004) (1)
- Research on grain storage temperature prediction model based on improved long short-term memory (2021) (1)
- Generalized Neural Graph Embedding with Matrix Factorization (2017) (1)
- A Social Influence Model Based On Circuit Theory (2012) (1)
- Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results (2021) (1)
- Improving Implicit Alternating Least Squares with Ring-based Regularization (2022) (1)
- Enterprise Resource Planning (2012) (1)
- Boosting Factorization Machines via Saliency-Guided Mixup (2022) (1)
- Heterogeneous-attributes enhancement deep framework for network embedding (2021) (1)
- A Novel Knowledge Network Framework for Financial News Navigation (2014) (1)
- Network Representation Lightening From Hashing to Quantization (2023) (1)
- Predicting Smartphone Adoption in Social Networks (2015) (1)
- Heuristic learning of rules for information extraction from web documents (2007) (1)
- Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer (2021) (1)
- An evolution-based cache scheme for scalable mobile data access (2007) (1)
- Semistructured Data Store Mapping with XML and Its Reconstruction (2002) (1)
- DisenQNet (2021) (1)
- Forest-based Deep Recommender (2022) (1)
- Oscillation Resolution esolution in Mobility Profile B in Mobility Profile B in Mobility Profile B in Mobility Profile Building uilding (2012) (1)
- Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding (2021) (1)
- Index Based Document Classification with CC4 Neural Networks (2001) (1)
- LawyerPAN (2021) (1)
- A hybrid approach based on regression tree and radial-based function network for dynamic storage device performance prediction (2011) (1)
- A Dynamic and Cooperative Tracking System for Crowdfunding (2019) (1)
- Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest (2019) (1)
- An Intelligent Search Platform for Business News (2014) (0)
- Stable and Diverse: A Unified Approach for Computerized Adaptive Testing (2021) (0)
- Improving contextual advertising matching by using Wikipedia thesaurus knowledge (2014) (0)
- A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval (2022) (0)
- Mobile Context Data Mining: Methods and Applications (2013) (0)
- Influence Maximization Model (2018) (0)
- Single and Multiple Device DSA Problem, Complexities and Online Algorithms (2010) (0)
- Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation (2015) (0)
- Message Passing Parallel Inplace Access Processor Stylus Server Coordinator Query Plan Stylus Server Intermediate Result Stylus Server Metadata Stylus Server (2017) (0)
- A Demonstration of Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach (2012) (0)
- Discerning individual interests and shared interests for social user profiling (2016) (0)
- Proceedings of the 1st International Workshop on Context Discovery and Data Mining (2012) (0)
- Preface to nining and understanding from big data (2013) (0)
- A Linear Circuit Model For Social Influence (2012) (0)
- Revisiting Foreground-Background Imbalance in Object Detectors (2019) (0)
- Learning to detect subway arrivals for passengers on a train (2014) (0)
- Single and multiple device DSA problems, complexities and online algorithms (2012) (0)
- Knowledge Discovery from Noisy Datasets (2011) (0)
- Neural Architecture Optimization 1 (2018) (0)
- Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach (2022) (0)
- SIFN (2021) (0)
- Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever (2022) (0)
- Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification (2022) (0)
- DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching (2021) (0)
- Accelerating local SGD for non-IID data using variance reduction (2022) (0)
- Table-of-Contents and Preface (2008) (0)
- Supplementary Material for the Paper "Sampling-Decomposable Generative Adversarial Recommender" (2020) (0)
- An answer passage retrieval strategy for web-based question answering (2007) (0)
- Understand and Assess People's Procrastination by Mining Computer Usage Log (2018) (0)
- An Evolutionary Computational Method for N-Connection Subgraph Discovery (2006) (0)
- A Linear Circuit Model For Social Influence Analysis (2012) (0)
- A Topic Modeling Perspective for Tracking the Evolution of Social Emotions (2015) (0)
- R2-Net: Relation of Relation Learning Network for Sentence Semantic Matching (2020) (0)
- Author Contributed Representation for Scholarly Network (2020) (0)
- Long-term Joint Scheduling for Urban Traffic (2019) (0)
- Visual-Enhanced End-to-End Neural Diarization (2022) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Diversified Social Influence Maximization Diversified Social Influence Maximization (2020) (0)
- Analyzing Sequence Data Based on Conditional Random Fields with Co-training (2012) (0)
- 2 . 3 Enhanced Tensor Factorization with Aggregation-based Constraint (2019) (0)
- Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System (2021) (0)
- Training Target domain reviews Source domain Review Aspect Aspect Review Extract Target domain Review Aspect Aspect Review Extract Domain classifier Sentiment classifier IATN Figure (2018) (0)
- A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting (2022) (0)
- A Method of Improving Performance of Measurement Accuracy for GNSS Receiver Under Dynamic Scenarios (2018) (0)
- Adapting association patterns for text categorization: weaknesses and enhancements (2006) (0)
- Lifestyle-related Office-related Game Home Work (2016) (0)
- XML keyword search based on maximum repetitive unit (2011) (0)
- A new approach to query segmentation for relevance ranking in web search (2014) (0)
- Supplement for “ S ADA G RAD : Strongly Adaptive Stochastic Gradient Methods " (2018) (0)
- Are Sampling Heuristics Necessary in Object Detectors? (2019) (0)
- Ranking user authority with relevant knowledge categories for expert finding (2013) (0)
- Distributed Real-Time Knowledge Graph Serving (Invited Paper) (2015) (0)
- Knowledge Powered Cooperative Semantic Fusion for Patent Classification (2021) (0)
- Adaptive Caching Scheme for Heterogeneous Mobile Devices and Wireless Networks: a Service Oriented Perspective (2008) (0)
- Urban Crowd Density Prediction Based on Multi-relational Graph (2021) (0)
- LawyerPAN: A Proficiency Assessment Network for Trial Lawyers (2021) (0)
- SPF-A*: Searching of multimedia data in heterogeneous P2P Networks (2008) (0)
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What Schools Are Affiliated With En-hong Chen?
En-hong Chen is affiliated with the following schools:
