Knowledge Science, Engineering and Management

Machine Learning.- MA-TREX: Multi-agent Trajectory-ranked Reward Extrapolation via Inverse Reinforcement Learning.- An Incremental Learning Network Model based on Random Sample Distribution Fitting.- Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition System.- Improving Policy Generalization for Teacher-Student Reinforcement Learning.- Recommendation Algorithms and Systems.- Towards effective top- k location recommendation for business facility placement.- Pairwise-based Hierarchical Gating Networks for Sequential Recommendation.- Time-aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation.- A Time Interval Aware Approach for Session-based Social Recommendation.- AutoIDL: Automated Imbalanced Data Learning via Collaborative Filtering.- Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation.- Robust Sequence Embedding for Recommendation.- Deep Generative Recommendation with Maximizing Reciprocal Rank.- Spatio-Temporal Attentive Network for Session-based Recommendation.- Social Knowledge Analysis and Management.- Category-level Adversarial Network for Cross-Domain Sentiment Classification.- Seeds Selection for Influence Maximization Based on Device-to-Device Social Knowledge by Reinforcement Learning.- CIFEF: Combining implicit and explicit features for friendship inference in location-based social networks.- A Knowledge Enhanced Ensemble Learning Model for Mental Disorder Detection on Social Media.- Constrained Viral Marketing in Social Networks.- A Multi-source Self-adaptive Transfer Learning Model for Mining Social Links.- Text Mining and Document Analysis.- Multi-hop Syntactic Graph Convolutional Networks for Aspect-based Sentiment Classification.- A Matching-Integration-Verification Model for Multiple-Choice Reading Comprehension.- How to interact and change? Abstractive Dialogue Summarization with Dialogue Act Weight and Topic Change Info.- Chinese Text Classification via Bidirectional Lattice LSTM.- MG-BERT: A Multi-Glosses BERT Model for Word Sense Disambiguation.- Top Personalized Reviews Set Selection Based on Subject Aspect Modeling.- SCX-SD: Semi-Supervised Method for Contextual Sarcasm Detection.- End-to-End Multi-task Learning for Allusion Detection in Ancient Chinese Poems.- Defense of Word-level Adversarial Attacks via Random Substitution Encoding.- Document-Improved Hierarchical Modular Attention for Event Detection.- Fine-tuned Transformer Model for Sentiment Analysis.- An Algorithm for Emotion Evaluation and Analysis Based on CBOW.- Predicting Crowdsourcing Worker Performance with Knowledge Tracing.- Deep Learning.- Watermarking neural network with compensation mechanism.- Information Diffusion Prediction with Personalized Graph Neural Networks.- Relationship-Aware Hard Negative Generation in Deep Metric Learning.- Striking a Balance in Unsupervised Fine-grained Domain Adaptation Using Adversarial Learning.- Improved Performance of GANs via Integrating Gradient Penalty with Spectral Normalization.- Evidential Deep Neural Networks for Uncertain Data Classification.- GDCRN: Global Diffusion Convolutional Residual Network for Traffic Flow Prediction.- Depthwise Separable Convolutional Neural Network for Confidential Information Analysis.- The Short-Term Exit Traffic Prediction of A Toll Station Based on LSTM.- Long and Short Term Risk Control for Online Portfolio Selection.