Haiping Ma

Orcid: 0000-0002-3115-6855

According to our database1, Haiping Ma authored at least 75 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

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

A comprehensive survey on NSGA-II for multi-objective optimization and applications.
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

SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation.
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

Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness.
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

Multi-system genetic algorithm for complex system optimization.
Soft Comput., 2022

SWIPENET: Object detection in noisy underwater scenes.
Pattern Recognit., 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

A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education.
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

A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting.
Complex., 2021

Federated Deep Knowledge Tracing.
Proceedings of the WSDM '21, 2021

Privileged Graph Distillation for Cold Start Recommendation.
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

A Multipopulation-Based Multiobjective Evolutionary Algorithm.
IEEE Trans. Cybern., 2020

Leveraging proficiency and preference for online Karaoke recommendation.
Frontiers Comput. Sci., 2020

SWIPENET: Object detection in noisy underwater images.
CoRR, 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

Design Optimization of Plate-Fin Heat Exchanger Using Sine Cosine Algorithm.
Proceedings of the Neural Computing for Advanced Applications, 2020

Structure-based Knowledge Tracing: An Influence Propagation View.
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
Context-Aware Mouse Behavior Recognition Using Hidden Markov Models.
IEEE Trans. Image Process., 2019

Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey.
Swarm Evol. Comput., 2019

Exploiting Cognitive Structure for Adaptive Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis.
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

A Novel Binary Jaya Optimization for Economic/Emission Unit Commitment.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Interactive Markov Models of Optimization Search Strategies.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Biogeography-Based Optimization: A 10-Year Review.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Conceptual and numerical comparisons of swarm intelligence optimization algorithms.
Soft Comput., 2017

A non-cooperative non-zero-sum game-based dependability assessment of heterogeneous WSNs with malware diffusion.
J. Netw. Comput. Appl., 2017

Optimal Battery Charging Strategy Based on Complex System Optimization.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017

An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers.
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

Statistical Mechanics Approximation of Biogeography-Based Optimization.
Evol. Comput., 2016

Sparse Factorization Machines for Click-through Rate Prediction.
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

Mining User's Location Intention from Mobile Search Log.
Proceedings of the Knowledge Science, Engineering and Management, 2015

2014
Hybrid biogeography-based evolutionary algorithms.
Eng. Appl. Artif. Intell., 2014

2013
Variations of biogeography-based optimization and Markov analysis.
Inf. Sci., 2013

A Survey of Context-Aware Mobile Recommendations.
Int. J. Inf. Technol. Decis. Mak., 2013

On the equivalences and differences of evolutionary algorithms.
Eng. Appl. Artif. Intell., 2013

Random Walk with Pre-filtering for Social Link Prediction.
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

A habit mining approach for discovering similar mobile users.
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

Analysis of migration models of biogeography-based optimization using Markov theory.
Eng. Appl. Artif. Intell., 2011

Blended biogeography-based optimization for constrained optimization.
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


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