Haiping Ma
Orcid: 0000-0002-3115-6855
According to our database1,
Haiping Ma
authored at least 87 papers
between 2009 and 2024.
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Bibliography
2024
Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings.
ACM Trans. Intell. Syst. Technol., October, 2024
Model analysis and application case for complex multi-system evolutionary optimization.
Evol. Intell., August, 2024
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.
IEEE Trans. Knowl. Data Eng., July, 2024
Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Multi-Level Medical Image Segmentation Network Based on Multi-Scale and Context Information Fusion Strategy.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Temporal-Spatial Conversion Based Sequential Convolutional LSTM Architecture for Detecting Drug Addiction.
IEEE Signal Process. Lett., 2024
Weighted multi-error information entropy based you only look once network for underwater object detection.
Eng. Appl. Artif. Intell., 2024
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis.
CoRR, 2024
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.
CoRR, 2024
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection.
Proceedings of the ACM on Web Conference 2024, 2024
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems.
J. Comput. Sci. Technol., December, 2023
Artif. Intell. Rev., December, 2023
A Search Space Reduction-Based Progressive Evolutionary Algorithm for Influence Maximization in Social Networks.
IEEE Trans. Comput. Soc. Syst., October, 2023
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization.
Swarm Evol. Comput., July, 2023
Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Non-Uniform Illumination Underwater Image Enhancement via Minimum Weighted Error Entropy Loss.
IEEE Signal Process. Lett., 2023
Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search.
CoRR, 2023
CoRR, 2023
Balancing Measurement Efficiency, Test Diversity and Security for Item Selection in On-the-Fly Assembled Multistage Adaptive Testing via a Multi-objective Evolutionary Algorithm.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023
Proceedings of the 5th International Conference on Robotics, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations.
IEEE Trans. Evol. Comput., 2022
Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica, 2022
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2021
A local-to-global scheme-based multi-objective evolutionary algorithm for overlapping community detection on large-scale complex networks.
Neural Comput. Appl., 2021
Balancing topology structure and node attribute in evolutionary multi-objective community detection for attributed networks.
Knowl. Based Syst., 2021
A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints.
Inf. Sci., 2021
Complex., 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
2020
Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students.
ACM Trans. Inf. Syst., 2020
IEEE Trans. Cybern., 2020
Frontiers Comput. Sci., 2020
Multisystem Optimization for an Integrated Production Scheduling with Resource Saving Problem in Textile Printing and Dyeing.
Complex., 2020
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Neural Computing for Advanced Applications, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
An Overlapping Community Detection Based Multi-Objective Evolutionary Algorithm for Diversified Social Influence Maximization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
IEEE Trans. Image Process., 2019
Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey.
Swarm Evol. Comput., 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Compact real-valued teaching-learning based optimization with the applications to neural network training.
Knowl. Based Syst., 2018
Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems.
Complex., 2018
A Fast Hybrid Meta-Heuristic Algorithm for Economic/Environment Unit Commitment with Renewables and Plug-In Electric Vehicles.
Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Emerg. Top. Comput. Intell., 2017
Soft Comput., 2017
A non-cooperative non-zero-sum game-based dependability assessment of heterogeneous WSNs with malware diffusion.
J. Netw. Comput. Appl., 2017
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Biogeography-based optimization for identifying promising compounds in chemical process.
Neurocomputing, 2016
Evol. Comput., 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Ensemble multi-objective biogeography-based optimization with application to automated warehouse scheduling.
Eng. Appl. Artif. Intell., 2015
Proceedings of the Knowledge Science, Engineering and Management, 2015
2014
2013
Int. J. Inf. Technol. Decis. Mak., 2013
Eng. Appl. Artif. Intell., 2013
Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013
2012
Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning.
Neurocomputing, 2012
Proceedings of the 21st World Wide Web Conference 2012, 2012
Biogeography-based optimization with ensemble of migration models for global numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Exploiting probabilistic topic models to improve text categorization under class imbalance.
Inf. Process. Manag., 2011
Eng. Appl. Artif. Intell., 2011
Eng. Appl. Artif. Intell., 2011
2010
An analysis of the equilibrium of migration models for biogeography-based optimization.
Inf. Sci., 2010
Biogeography-based optimization with blended migration for constrained optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
2009
Delay-dependent robust H<sub>infinity</sub> control for time-delay systems with polytopic uncertainty.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Equilibrium species counts and migration model tradeoffs for biogeography-based optimization.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009