Yixin Chen

Orcid: 0000-0002-3704-4432

Affiliations:
  • Washington University, Department of Computer Science and Engineering, Saint Louis, MO, USA
  • University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, IL, USA (former)


According to our database1, Yixin Chen authored at least 230 papers between 2000 and 2024.

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Bibliography

2024
On Transforming Reinforcement Learning With Transformers: The Development Trajectory.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis.
ACM Trans. Comput. Heal., April, 2024

FRLN: Federated Residual Ladder Network for Data-Protected QoS Prediction.
IEEE Trans. Serv. Comput., 2024

Multi-view representation learning for tabular data integration using inter-feature relationships.
J. Biomed. Informatics, 2024

Locating influence sources in social network by senders and receivers spaces mapping.
Expert Syst. Appl., 2024

Target-Prompt Online Graph Collaborative Learning for Temporal QoS Prediction.
CoRR, 2024

Learning System Dynamics without Forgetting.
CoRR, 2024

TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models.
CoRR, 2024

SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling.
CoRR, 2024

Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer.
CoRR, 2024

Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy.
CoRR, 2024

Large Language Model Meets Graph Neural Network in Knowledge Distillation.
CoRR, 2024

DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks.
CoRR, 2024

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research.
CoRR, 2024

Topology-aware Embedding Memory for Learning on Expanding Graphs.
CoRR, 2024

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks.
Proceedings of the ACM on Web Conference 2024, 2024

Topology-aware Embedding Memory for Continual Learning on Expanding Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Parameter-Efficient Multi-Task Model Fusion with Partial Linearization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

One For All: Towards Training One Graph Model For All Classification Tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sheared Backpropagation for Fine-Tuning Foundation Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Identifying multiple influence sources in social networks based on latent space mapping.
Inf. Sci., July, 2023

NCRL: Neighborhood-Based Collaborative Residual Learning for Adaptive QoS Prediction.
IEEE Trans. Serv. Comput., 2023

FHC-DQP: Federated Hierarchical Clustering for Distributed QoS Prediction.
IEEE Trans. Serv. Comput., 2023

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.
Trans. Mach. Learn. Res., 2023

PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation.
CoRR, 2023

Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction.
CoRR, 2023

Towards Arbitrarily Expressive GNNs in O(n<sup>2</sup>) Space by Rethinking Folklore Weisfeiler-Lehman.
CoRR, 2023

Recurrent Transformer for Dynamic Graph Representation Learning with Edge Temporal States.
CoRR, 2023

Time Associated Meta Learning for Clinical Prediction.
CoRR, 2023

A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks.
CoRR, 2023

MAG-GNN: Reinforcement Learning Boosted Graph Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Improving Heterogeneous Model Reuse by Density Estimation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MVGCL: Multi-View Graph Contrastive Learning for Service Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2023

CktGNN: Circuit Graph Neural Network for Electronic Design Automation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022
DeepLTSC: Long-Tail Service Classification via Integrating Category Attentive Deep Neural Network and Feature Augmentation.
IEEE Trans. Netw. Serv. Manag., 2022

DeepTSQP: Temporal-aware service QoS prediction via deep neural network and feature integration.
Knowl. Based Syst., 2022

Random walk-based algorithm for distance-aware influence maximization on multiple query locations.
Knowl. Based Syst., 2022

Social influence source locating based on network sparsification and stratification.
Expert Syst. Appl., 2022

On Transforming Reinforcement Learning by Transformer: The Development Trajectory.
CoRR, 2022

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.
CoRR, 2022

Algorithmic Bias in Machine Learning Based Delirium Prediction.
CoRR, 2022

Interpreting mechanism of Synergism of drug combinations using attention based hierarchical graph pooling.
CoRR, 2022

Deep Learning to Jointly Schema Match, Impute, and Transform Databases.
CoRR, 2022

Geodesic Graph Neural Network for Efficient Graph Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

How Powerful are K-hop Message Passing Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Dilated Transformer Network for Time Series Anomaly Detection.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Temporal-Aware QoS Prediction via Dynamic Graph Neural Collaborative Learning.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs.
Proceedings of the International Conference on Machine Learning, 2022

VAE-TCN hybrid model for KPI Anomaly Detection.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

2021
Minimizing the seed set cost for influence spreading with the probabilistic guarantee.
Knowl. Based Syst., 2021

Node deletion-based algorithm for blocking maximizing on negative influence from uncertain sources.
Knowl. Based Syst., 2021

Negative influence blocking maximization with uncertain sources under the independent cascade model.
Inf. Sci., 2021

Chaotic Deep Network for Mobile D2D Communication.
IEEE Internet Things J., 2021

Predicting Anticancer Drug Response With Deep Learning Constrained by Signaling Pathways.
Frontiers Bioinform., 2021

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.
CoRR, 2021

Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare.
CoRR, 2021

Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Time-Variant Graph Classification.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Positive influence maximization in signed social networks under independent cascade model.
Soft Comput., 2020

Liver disease screening based on densely connected deep neural networks.
Neural Networks, 2020

(Un)fairness in Post-operative Complication Prediction Models.
CoRR, 2020

A Random Walk Approach for Avoiding Unwanted Users in Competitive Social Network.
IEEE Access, 2020

Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN.
IEEE Access, 2020

Hierarchical Attention Propagation for Healthcare Representation Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Attention-Based Multi-component LSTM for Internet Traffic Prediction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Inductive Matrix Completion Based on Graph Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Explainable Software vulnerability detection based on Attention-based Bidirectional Recurrent Neural Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Postoperative Mortality Prediction with and Without the Use of Intraoperative Features.
Proceedings of the AMIA 2020, 2020

2019
Learning Shapelet Patterns from Network-Based Time Series.
IEEE Trans. Ind. Informatics, 2019

Time series feature learning with labeled and unlabeled data.
Pattern Recognit., 2019

Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial.
F1000Research, 2019

Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network.
CoRR, 2019

Edge Cache-Based ISP-CP Collaboration Scheme for Content Delivery Services.
IEEE Access, 2019

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room.
Proceedings of the AMIA 2019, 2019

2018
Predicting Hospital Readmission via Cost-Sensitive Deep Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey.
Int. J. Autom. Comput., 2018

Achieving data-driven actionability by combining learning and planning.
Frontiers Comput. Sci., 2018

Link Prediction Based on Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Embedding Logistic Regression.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

ECGLens: Interactive Visual Exploration of Large Scale ECG Data for Arrhythmia Detection.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

An End-to-End Deep Learning Architecture for Graph Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Extracting optimal actionable plans from additive tree models.
Frontiers Comput. Sci., 2017

BoostGAPFILL: improving the fidelity of metabolic network reconstructions through integrated constraint and pattern-based methods.
Bioinform., 2017

Weisfeiler-Lehman Neural Machine for Link Prediction.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A novel HashedNets model based on the efficient hyperparameter optimization.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Fault analysis of multiple transmission lines based on density-based logistic regression.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Atrial fibrillation detection by multi-scale convolutional neural networks.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems.
Proc. IEEE, 2016

Recovering Metabolic Networks using A Novel Hyperlink Prediction Method.
CoRR, 2016

Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning.
CoRR, 2016

Multi-Scale Convolutional Neural Networks for Time Series Classification.
CoRR, 2016

WUFlux: an open-source platform for 13C metabolic flux analysis of bacterial metabolism.
BMC Bioinform., 2016

Compressing Convolutional Neural Networks in the Frequency Domain.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Maximizing Network Lifetime of WirelessHART Networks under Graph Routing.
Proceedings of the First IEEE International Conference on Internet-of-Things Design and Implementation, 2016

Enhancing State Space Search for Planning by Monte-Carlo Random Walk Exploration.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Link prediction using matrix factorization with bagging.
Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016

2015
Nonlinear Metric Learning with Kernel Density Estimation.
IEEE Trans. Knowl. Data Eng., 2015

End-to-End Communication Delay Analysis in Industrial Wireless Networks.
IEEE Trans. Computers, 2015

Compressing Convolutional Neural Networks.
CoRR, 2015

A unifying learning framework for building artificial game-playing agents.
Ann. Math. Artif. Intell., 2015

Schedulability Analysis under Graph Routing in WirelessHART Networks.
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015

Optimal Action Extraction for Random Forests and Boosted Trees.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Compressing Neural Networks with the Hashing Trick.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method.
Proceedings of the AMIA 2015, 2015

Filtered Search for Submodular Maximization with Controllable Approximation Bounds.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
QoS-Aware Dynamic Composition of Web Services Using Numerical Temporal Planning.
IEEE Trans. Serv. Comput., 2014

Distributed Channel Allocation Protocols for Wireless Sensor Networks.
IEEE Trans. Parallel Distributed Syst., 2014

Near optimal rate selection for wireless control systems.
ACM Trans. Embed. Comput. Syst., 2014

Dynamic composition of Web services using efficient planners in large-scale service repository.
Knowl. Based Syst., 2014

Situation-aware composition and execution in dynamic environments by automated planning.
Eng. Appl. Artif. Intell., 2014

Towards automated choreography of Web services using planning in large scale service repositories.
Appl. Intell., 2014

Fast flux discriminant for large-scale sparse nonlinear classification.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Analysis of EDF scheduling for Wireless Sensor-Actuator Networks.
Proceedings of the IEEE 22nd International Symposium of Quality of Service, 2014

Identifying drug (cocaine) intake events from acute physiological response in the presence of free-living physical activity.
Proceedings of the IPSN'14, 2014

Thermal Modeling for a HVAC Controlled Real-Life Auditorium.
Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

Feature-Cost Sensitive Learning with Submodular Trees of Classifiers.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Intelligent Sensor Placement for Hot Server Detection in Data Centers.
IEEE Trans. Parallel Distributed Syst., 2013

Ranking on Data Manifold with Sink Points.
IEEE Trans. Knowl. Data Eng., 2013

A SAT-based approach to cost-sensitive temporally expressive planning.
ACM Trans. Intell. Syst. Technol., 2013

Efficient ant colony optimization for image feature selection.
Signal Process., 2013

A Novel Ant Colony Optimization Based Algorithm for Identifying Gene Regulatory Elements.
J. Comput., 2013

A Planning Approach to the Recognition of Multiple Goals.
Int. J. Intell. Syst., 2013

Decomposition techniques for optimal design-space exploration of streaming applications.
Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2013

Density-based logistic regression.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Maximum Variance Correction with Application to A* Search.
Proceedings of the 30th International Conference on Machine Learning, 2013

Kernel Density Metric Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Utilizing Landmarks in Euclidean Heuristics for Optimal Planning.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

Goal-Oriented Euclidean Heuristics with Manifold Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Integrating Flux Balance Analysis into Kinetic Models to Decipher the Dynamic Metabolism of <i>Shewanella oneidensis</i> MR-1.
PLoS Comput. Biol., 2012

A Dimensionality Reduction Framework for Detection of Multiscale Structure in Heterogeneous Networks.
J. Comput. Sci. Technol., 2012

A Fast and Efficient Algorithm for Finding Frequent Items over Data Stream.
J. Comput., 2012

SAS+ Planning as Satisfiability.
J. Artif. Intell. Res., 2012

MicrobesFlux: a web platform for drafting metabolic models from the KEGG database.
BMC Syst. Biol., 2012

Experiences with an end-to-end wireless clinical monitoring system.
Proceedings of the Wireless Health 2012, 2012

An integrated data mining approach to real-time clinical monitoring and deterioration warning.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Submodular game for distributed application allocation in shared sensor networks.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Convexity in Non-convex Optimizations of Streaming Applications.
Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

An Efficient Algorithm for top-k Queries on Uncertain Data Streams.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Towards Automated Choreographing of Web Services Using Planning.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Sensor Placement Algorithms for Fusion-Based Surveillance Networks.
IEEE Trans. Parallel Distributed Syst., 2011

A novel approach to annotating web service based on interface concept mapping and semantic expansion.
Soft Comput., 2011

Recent progress in natural computation and knowledge discovery: an ICNC'09-FSKD'09 special issue.
Soft Comput., 2011

Compression and aggregation of Bayesian estimates for data intensive computing.
Knowl. Inf. Syst., 2011

Early Deterioration Warning for Hospitalized Patients by Mining Clinical Data.
Int. J. Knowl. Discov. Bioinform., 2011

Theory and Algorithms for Partial Order Based Reduction in Planning
CoRR, 2011

End-to-End Delay Analysis for Fixed Priority Scheduling in WirelessHART Networks.
Proceedings of the 17th IEEE Real-Time and Embedded Technology and Applications Symposium, 2011

Automatic Feature Decomposition for Single View Co-training.
Proceedings of the 28th International Conference on Machine Learning, 2011

Medical Data Mining for Early Deterioration Warning in General Hospital Wards.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Towards Optimal Sensor Placement for Hot Server Detection in Data Centers.
Proceedings of the 2011 International Conference on Distributed Computing Systems, 2011

Multiple-goal recognition based on planning.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Priority Assignment for Real-Time Flows in WirelessHART Networks.
Proceedings of the 23rd Euromicro Conference on Real-Time Systems, 2011

Can Cloud Computing Be Used for Planning? An Initial Study.
Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

Improving context-aware query classification via adaptive self-training.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Image Feature Selection Based on Ant Colony Optimization.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Optimal design-space exploration of streaming applications.
Proceedings of the 22nd IEEE International Conference on Application-specific Systems, 2011

2010
Preface to special issue on applications of automated planning.
ACM Trans. Intell. Syst. Technol., 2010

Modeling radiation-induced lung injury risk with an ensemble of support vector machines.
Neurocomputing, 2010

Extended duality for nonlinear programming.
Comput. Optim. Appl., 2010

Real-Time Scheduling for WirelessHART Networks.
Proceedings of the 31st IEEE Real-Time Systems Symposium, 2010

Near optimal multi-application allocation in shared sensor networks.
Proceedings of the 11th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2010

A Novel Transition Based Encoding Scheme for Planning as Satisfiability.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Compression and Aggregation for Logistic Regression Analysis in Data Cubes.
IEEE Trans. Knowl. Data Eng., 2009

Stream data clustering based on grid density and attraction.
ACM Trans. Knowl. Discov. Data, 2009

Generalized Latent Class Analysis Based on Model Dominance Theory.
Int. J. Artif. Intell. Tools, 2009

Long-distance mutual exclusion for planning.
Artif. Intell., 2009

Constrained optimization for validation-guided conditional random field learning.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Completeness and Optimality Preserving Reduction for Planning.
Proceedings of the IJCAI 2009, 2009

Stratified Planning.
Proceedings of the IJCAI 2009, 2009

Gradient-Based Feature Selection for Conditional Random Fields and its Applications in Computational Genetics.
Proceedings of the ICTAI 2009, 2009

Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk.
Proceedings of the International Conference on Machine Learning and Applications, 2009

An Optimal Temporally Expressive Planner: Initial Results and Application to P2P Network Optimization.
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009

2008
Fast Sensor Placement Algorithms for Fusion-Based Target Detection.
Proceedings of the 29th IEEE Real-Time Systems Symposium, 2008

Dominance of Bayesian Networks and Efficient Learning of Generalized Latent Class Models.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Convergence of Ant Colony Optimization on First-order Deceptive Systems.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Fast Planning by Search in Domain Transition Graph.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

CRF-OPT: An Efficient High-Quality Conditional Random Field Solver.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Multi-Dimensional Analysis of Data Streams Using Stream Cubes.
Proceedings of the Data Streams - Models and Algorithms, 2007

Simulated annealing with asymptotic convergence for nonlinear constrained optimization.
J. Glob. Optim., 2007

Subgoal Ordering and Granularity Control for Incremental Planning.
Int. J. Artif. Intell. Tools, 2007

Density-based clustering for real-time stream data.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Constraint Partitioning for Solving Planning Problems with Trajectory Constraints and Goal Preferences.
Proceedings of the IJCAI 2007, 2007

Long-Distance Mutual Exclusion for Propositional Planning.
Proceedings of the IJCAI 2007, 2007

PHC: A Rapid Parallel Hierarchical Cubing Algorithm on High Dimensional OLAP.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2007

2006
Regression Cubes with Lossless Compression and Aggregation.
IEEE Trans. Knowl. Data Eng., 2006

Temporal Planning using Subgoal Partitioning and Resolution in SGPlan.
J. Artif. Intell. Res., 2006

An improved ant colony algorithm with diversified solutions based on the immune strategy.
BMC Bioinform., 2006

A novel approach to phylogenetic tree construction using stochastic optimization and clustering.
BMC Bioinform., 2006

A fast parallel algorithm for finding the longest common sequence of multiple biosequences.
BMC Bioinform., 2006

Constraint partitioning in penalty formulations for solving temporal planning problems.
Artif. Intell., 2006

A New Optimization Algorithm Based on Ant Colony System with Density Control Strategy.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Solving Constrained Nonlinear Optimization Problems Through Constraint Partitioning.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

A New Way of Solving Multiple Constrained QoS Multi-routing Problems.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

Diversity Guaranteed Ant Colony Algorithm Based on Immune Strategy.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

A Fast Parallel Longest Common Subsequence Algorithm Based on Pruning Rules.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

Constrained Global Optimization by Constraint Partitioning and Simulated Annealing.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Multiple Sequence Alignment by Ant Colony Optimization and Divide-and-Conquer.
Proceedings of the Computational Science, 2006

An improved ant colony algorithm with biological characteristics.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Parallel ant colony algorithm for mining classification rules.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

An Efficient Hybrid Strategy for Temporal Planning.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2006

Optimal STRIPS Planning by Maximum Satisfiability and Accumulative Learning.
Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, 2006

Partitioned optimization algorithms for multiple sequence alignment.
Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006

2005
Solving Nonlinear Constrained Optimization Problems Through Constraint Partitioning
PhD thesis, 2005

Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams.
Distributed Parallel Databases, 2005

Subgoal Ordering and Granularity Control for Incremental Planning.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

An Ant Clustering Method for a Dynamic Database.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Solving Large-Scale Nonlinear Programming Problems by Constraint Partitioning.
Proceedings of the Principles and Practice of Constraint Programming, 2005

2004
A Fast Efficient Parallel Hough Transform Algorithm on LARPBS.
J. Supercomput., 2004

Subgoal Partitioning and Global Search for Solving Temporal Planning Problems in Mixed Space.
Int. J. Artif. Intell. Tools, 2004

Efficient Parallel Algorithms for Euclidean Distance Transform.
Comput. J., 2004

A Novel Ant Clustering Algorithm Based on Cellular Automata.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004

A<sup>4</sup>C: an adaptive artificial ants clustering algorithm.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

2003
Hybrid Evolutionary And Annealing Algorithms For Nonlinear Discrete Constrained Optimization.
Int. J. Comput. Intell. Appl., 2003

Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Partitioning of Temporal Planning Problems in Mixed Space Using the Theory of Extended Saddle Points.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Automated Planning and Scheduling using Calculus of Variations in Discrete Space.
Proceedings of the Thirteenth International Conference on Automated Planning and Scheduling (ICAPS 2003), 2003

2002
Multi-Dimensional Regression Analysis of Time-Series Data Streams.
Proceedings of 28th International Conference on Very Large Data Bases, 2002

Calculus of Variations in Discrete Space for Constrained Nonlinear Dynamic Optimization.
Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

Online Analytical Processing Stream Data: Is It Feasible?
Proceedings of the 2002 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2002

2001
Hybrid constrained simulated annealing and genetic algorithms for nonlinear constrained optimization.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Constrained genetic algorithms and their applications in nonlinear constrained optimization.
Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000

Optimal Anytime Constrained Simulated Annealing for Constrained Global Optimization.
Proceedings of the Principles and Practice of Constraint Programming, 2000


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