Hong Qian
Orcid: 0000-0002-3756-5019
According to our database1,
Hong Qian
authored at least 98 papers
between 2001 and 2025.
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Bibliography
2025
Frontiers Comput. Sci., January, 2025
2024
Co-ECL: Covariant Network with Equivariant Contrastive Learning for Oriented Object Detection in Remote Sensing Images.
Remote. Sens., February, 2024
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization.
Swarm Evol. Comput., 2024
Exact Power Spectrum in a Minimal Hybrid Model of Stochastic Gene Expression Oscillations.
SIAM J. Appl. Math., 2024
CoRR, 2024
CoRR, 2024
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization.
CoRR, 2024
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing.
CoRR, 2024
CoRR, 2024
Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization.
CoRR, 2024
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems.
CoRR, 2024
A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations.
CoRR, 2024
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Automated Design Competition Technical Report: Cascaded Structure and Parameter Optimization Based on Prior Knowledge.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Bi-objective evolutionary Bayesian network structure learning via skeleton constraint.
Frontiers Comput. Sci., December, 2023
Trans. Inst. Meas. Control, November, 2023
Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search.
CoRR, 2023
RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the 8th International Conference on Computer and Communication Systems, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Int. J. Comput. Commun. Control, September, 2022
IEEE Trans. Evol. Comput., 2022
A model for the intrinsic limit of cancer therapy: Duality of treatment-induced cell death and treatment-induced stemness.
PLoS Comput. Biol., 2022
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games.
CoRR, 2022
BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning.
CoRR, 2022
A parallel deep learning algorithm with applications in process monitoring and fault prediction.
Comput. Electr. Eng., 2022
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Formal Aspects Comput., 2021
Ecol. Informatics, 2021
Proceedings of the WSSE 2021: The 3rd World Symposium on Software Engineering, Xiamen, China, September 24, 2021
Parallel Region Reconstruction Technique for Sunway High-Performance Multi-core Processors.
Proceedings of the Data Science, 2021
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021
2020
Research on early fault warning system of coal mills based on the combination of thermodynamics and data mining.
Trans. Inst. Meas. Control, 2020
SIAM J. Appl. Dyn. Syst., 2020
Counting single cells and computing their heterogeneity: from phenotypic frequencies to mean value of a quantitative biomarker.
Quant. Biol., 2020
International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019.
Quant. Biol., 2020
Identification of Biomolecular Information in Rotenone-Induced Cellular Model of Parkinson's Disease by Public Microarray Data Analysis.
J. Comput. Biol., 2020
Representations and divergences in the space of probability measures and stochastic thermodynamics.
J. Comput. Appl. Math., 2020
Risk Assessment on Offshore Photovoltaic Power Generation Projects in China Using D Numbers and ANP.
IEEE Access, 2020
Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020
2019
Ternary Representation of Stochastic Change and the Origin of Entropy and Its Fluctuations.
CoRR, 2019
Complex., 2019
Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019
2018
Relatively slow stochastic gene-state switching in the presence of positive feedback significantly broadens the region of bimodality through stabilizing the uninduced phenotypic state.
PLoS Comput. Biol., 2018
IEEE Access, 2018
Proceedings of the 21st International Conference on Information Fusion, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Sensors, 2017
Research on Expert Knowledge Base of Intelligent Diagnosis Based on Tubing Leakage of High-Pressure Heater in Nuclear Power Plant.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017
Research on Intelligent Early-Warning System of Main Pipeline in Nuclear Power Plants Based on Hierarchical and Multidimensional Fault Identification Method.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017
Design of Adaptive Predictive Controller for Superheated Steam Temperature Control in Thermal Power Plant.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017
Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Nonlinear Stochastic Dynamics of Complex Systems, III: Nonequilibrium Thermodynamics of Self-Replication Kinetics.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2016
Potential of Entropic Force in Markov Systems with Nonequilibrium Steady State, Generalized Gibbs Function and Criticality.
Entropy, 2016
Symbolic execution of complex program driven by machine learning based constraint solving.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Global relationships between beta diversity and latitude after accounting for regional diversity.
Ecol. Informatics, 2015
2014
Fitness and entropy production in a cell population dynamics with epigenetic phenotype switching.
Quant. Biol., 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
2010
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
2009
Computational Cellular Dynamics Based on the Chemical Master Equation: A Challenge for Understanding Complexity.
J. Comput. Sci. Technol., 2009
2008
Linear analysis near a steady-state of biochemical networks: control analysis, correlation metrics and circuit theory.
BMC Syst. Biol., 2008
Proceedings of the 15th International Symposium on Temporal Representation and Reasoning, 2008
Proceedings of the 2008 IEEE International Performance, 2008
2007
J. Comput. Biol., 2007
Complex., 2007
Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data.
BMC Bioinform., 2007
Proceedings of the 14th International Symposium on Temporal Representation and Reasoning (TIME 2007), 2007
2006
Combining Flux and Energy Balance Analysis to Model Large-scale Biochemical Networks.
J. Bioinform. Comput. Biol., 2006
2001
A simple method of parameter space determination for diffusion-driven instability with three species.
Appl. Math. Lett., 2001