Combinatorial Optimization and Learning -- A Probabilistic Divide and Conquer Algorithm for the Minimum Tollbooth Problem -- Distributed Core Decomposition in Probabilistic Graphs -- Sampled Fictitious Play on Networks -- Outlier Detection Forest for Large-scale Categorical Data Sets -- Neural Networks with Multidimensional Cross-Entropy Loss Functions -- A RVND+ILS metaheuristic to Solve the Delivery Man Problem with Time Windows -- Star2vec: from subspace embedding to whole-space embedding for intelligent recommendation system (Extended Abstract) -- Approximation algorithm for the squared metric soft capacitated facility location problem (Extended Abstract) -- An Efficient Algorithm for the k-Dominating Set Problem on Very Large-Scale Networks (Extended Abstract) -- Strategy-proof cost-sharing mechanism design for a generalized cover-sets problem (Extended Abstract) -- Influence Modeling, Propagation, and Maximization -- Hybrid Centrality Measures for Service Coverage Problem -- Hop-based Sketch for Large-scale Influence Analysis -- Profit Maximization under Group Influence Model in Social Networks -- Importance Sample-based Approximation Algorithm for Cost-aware Targeted Viral Marketing -- Location-Based Competitive Influence Maximization in Social Networks -- Cascade of Edge Activation in Networks -- Reinforcement Learning in Information Cascades Based on Dynamic User Behavior -- Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering -- Who Watches What: forecasting viewership for the top 100 TV networks -- NLP and Affective Computing -- PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis -- One-document Training For Vietnamese Sentiment Analysis -- Assessing the readability of Vietnamese texts through comparison -- Learning Representations for Vietnamese Sentence Classification (Extended Abstract) -- Exploring Machine Translation on the Chinese-Vietnamese Language Pair -- Computational Methods for Social Good -- Towards an Aspect-based Ranking Model for Clinical Trial Search -- Scalable Self-Taught Deep-embedded Learning Framework for Drug Abuse Spatial Behaviors Detection -- Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention -- Online Community Conflict Decomposition with Pseudo Spatial Permutation -- Attribute-Enhanced De-anonymization of Online Social Networks -- Subgraph-based Adversarial Examples Against Graph-based IoT Malware Detection Systems -- Incorporating Content beyond Text: A High Reliable Twitter-based Disaster Information System -- Reduced-Bias Co-Trained Ensembles for Weakly Supervised Cyberbullying Detection -- A Novel Privacy-Preserving Socio-Technical Platform for Detecting Cyber Abuse (Extended Abstract) -- Projection-based Coverage Algorithms in 3D Camera Sensor Networks for Indoor Objective Tracking -- User Profiling and Behavior Modeling -- Enhancing Collaborative Filtering with Multi-label Classification -- Link Prediction on Dynamic Heterogeneous Information Networks -- Information Network Cascading and Network Re-construction with Bounded Rational User Behaviors -- Gender Prediction through Synthetic Resampling of User Profiles using SeqGANs. .