ICCS Main Track -- Synthesizing quantum circuits via numerical optimization -- Application of continuous time quantum walks to image segmentation -- Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learning -- Multi-Source Manifold Outlier Detection -- A Fast kNN-based Approach for Time Sensitive Anomaly Detection over Data Streams -- n-gram Cache Performance in Statistical Extraction of Relevant Terms in Large Corpora -- Lung Nodule Diagnosis via Deep Learning and Swarm Intelligence -- Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection -- Machine learning for performance enhancement of molecular dynamics Simulations -- 2D-Convolution based Feature Fusion for Cross-Modal Correlation Learning -- DunDi: Improving Robustness of Neural Networks using Distance Metric Learning -- Autism Screening using Deep Embedding Representation -- Function and pattern extrapolation with product-unit networks -- Fast and Scalable Outlier Detection with Metric Access Methods -- Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India -- Data Analysis for Atomic Shapes in Nuclear Science -- A Novel Partition Method for Busy Urban Area Based on Spatial-Temporal Information -- Mention Recommendation with Context-aware Probabilistic Matrix Factorization -- Synchronization under control in complex networks for a panic model -- Personalized Ranking in Dynamic Graphs Using Nonbacktracking Walks -- An Agent-Based Model for Emergent Opponent Behavior -- Fine-Grained Label Learning via Siamese Network for Cross-modal Information Retrieval -- MeshTrust: A CDN-centric Trust Model for Reputation Management on Video Traffic -- Optimizing spatial accessibility of company branches network with Constraints -- Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks -- A Fast 3D Finite-element Solver for Large-scale Seismic Soil Liquefaction Analysis -- Performance Evaluation of Tsunami Inundation Simulation on SX-Aurora TSUBASA -- Parallel Computing for Module-Based Computational Experiment -- Heuristic Optimization with CPU-GPU Heterogeneous Wave Computing for Estimating Three-dimensional Inner Structure -- A Generic Interface for Godunov-type Finite Volume Methods on Adaptive Triangular Meshes -- Track of Agent-Based Simulations, Adaptive Algorithms and Solvers -- Distributed Memory Parallel Implementation of Agent Based Economic Models -- Augmenting Multi-Agent Negotiation in Interconnected Freight Transport Using Complex Networks Analysis -- Security-Aware Distributed Job Scheduling in Cloud Computing Systems: A Game-Theoretic Cellular Automata-based Approach -- Residual minimization for isogeometric analysis in reduced and mixed Forms -- CTCmodeler: an agent-based framework to simulate pathogen transmission along an inter-individual contact network in a hospital -- Socio-cognitive ACO in Multi-criteria Optimization -- Reconfiguration of the multi-channel communication system with hierarchical structure and distributed passive switching -- Multi-agent environment for decision support in production system using machine learning methods -- Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning -- Biclustering via Mixtures of Regression Models -- An Evaluation Metric for Content Providing Models, Recommender Systems and Online Campaigns -- Tolerance Near Sets and tNM Application in City Images -- Meta-Graph based Attention-aware Recommendation over Heterogeneous Information Networks -- Determining Adaptive Loss Functions and Algorithms for Predictive Models -- Adaptive Objective Functions and Distance Metrics for Recommendation Systems -- An Early Warning Method for Agricultural Products Price Spike Based on Artificial Neural Networks Prediction -- Predicting Heart Attack through Explainable Artificial Intelligence -- Track of Architecture, Languages, Compilation and Hardware Support for Emerging an Heterogeneous Systems -- Dynamic and Distributed Security Management for NoC based MPSoCs -- Scalable Fast Multipole Method for Electromagnetic Simulations.