Brief CV
Currently I am a professor
of Department of Artificial Intelligence in Xiamen
University. I received my B.Sc. and Ph.D. degrees in Computer Science
from Wuhan University
in June 2001 and June 2007, respectively. From 2005 to 2007, I was a
visiting student at Department of Computer Science of City
university of Hong Kong. I am an IEEE Senior Member
(MIEEE'201l, SMIEEE'2012). Here is a full version of my CV.
If you are interested in my recent work, you can visit the following website: https://minjiang.github.io/
Research
Interests
My current research interests mainly
include Machine Learning and Computational Intelligence. More
specifically, I am interested in: Transfer
Learning, Deep Learning, (Dynamic) Multi/Many-objective Optimization,
Estimation of Distribution Algorithms and their applications on
Intelligent Robotics.
Selected
Works
- Jiang, M., et al. "Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms." IEEE Transactions on Evolutionary Computation 22.4 (2018): 501-14.
- Cabarle, F. G. C., et al. "Spiking Neural P Systems with Scheduled Synapses." IEEE Transactions on NanoBioscience 16.8 (2017): 792-801.
- Jiang, M., et al. "Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction." IEEE Transactions on Cybernetics 47.1 (2017): 38-51.
- Song, T., et al. "A Parallel Workflow Pattern Modeling Using Spiking Neural P Systems with Colored Spikes." IEEE Transactions on NanoBioscience 17.4 (2018): 474-84.
- Qiu, G., et al. "Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus." IEEE Transactions on Intelligent Transportation Systems 20.9 (2019): 3351-60.
- Song, B., et al. "Monodirectional Tissue P Systems with Promoters." IEEE Transactions on Cybernetics 51.1 (2021): 438-50.
- Jiang, M., et al. "Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization." IEEE Transactions on Evolutionary Computation 25.1 (2021): 117-29.
- Rambabu, R., et al. "A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization." IEEE Transactions on Cybernetics 50.12 (2020): 5099-112.
- Jiang, M., et al. "A Fast Dynamic Evolutionary Multiobjective Algorithm Via Manifold Transfer Learning." IEEE Transactions on Cybernetics 51.7 (2021): 3417-28.
- Zhang, Jia, et al. "Multi-label Feature Selection via Global Relevance and Redundancy Optimization." IJCAI. 2020.
- Cabarle, F. G. C., et al. "On String Languages Generated by Spiking Neural P Systems with Structural Plasticity." IEEE Transactions on NanoBioscience 17.4 (2018): 560-66.
- Jiang, M., et al. "Individual-Based Transfer Learning for Dynamic Multiobjective Optimization." IEEE Transactions on Cybernetics 51.10 (2021): 4968-81.
- Liu, X., et al. "Multiobjective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection." IEEE Transactions on Computational Social Systems 7.2 (2020): 437-49.
- Song, T., et al. "On the Computational Power of Asynchronous Axon Membrane Systems." IEEE Transactions on Emerging Topics in Computational Intelligence 4.5 (2020): 696-704.
- Du, G., et al. "Graph-based class-imbalance learning with label enhancement." IEEE Transactions on Neural Networks and Learning Systems (2021).
- Wang, Z., et al. "Manifold Interpolation for Large-Scale Multiobjective Optimization Via Generative Adversarial Networks." IEEE Transactions on Neural Networks and Learning Systems (2021): 1-15. (*)
- Xu, D., et al. "An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization." IEEE Transactions on Evolutionary Computation 26.4 (2022): 690-703. (*)
- Zhang, H., et al. "Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization." IEEE Transactions on Cybernetics (2021): 1-14.
- Zhang, J., et al. "Learning from Weakly Labeled Data Based on Manifold Regularized Sparse Model." IEEE Transactions on Cybernetics 52.5 (2022): 3841-54.
- Li, J., et al. "Reducing Negative Transfer Learning Via Clustering for Dynamic Multiobjective Optimization." IEEE Transactions on Evolutionary Computation (2022): 1-1.
- Zhou, W., et al. "Evolutionary Search with Multi-View Prediction for Dynamic Multi-Objective Optimization." IEEE Transactions on Evolutionary Computation (2021): 1-1.
- Guo, Y., et al. "A Knowledge guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization". IEEE Transactions on Evolutionary Computation (2022)
- Jin, T.,et al. "WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks." IEEE Transactions on Neural Networks and Learning Systems (2022)
- Zhang, J.,et al. "Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization." IEEE Transactions on Neural Networks and Learning Systems (2022)
- Li, Lingjie ,et al. " An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection." I IEEE Transactions on Evolutionary Computation (2023)
- HK Hong , M. Jiang et al. " Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search." IEEE Transactions on Cybernetics (2023) （*）
- Chai, Zehua et al. " Dual-stream transformer with distribution alignment for visible-infrared person re-identification." IEEE Transactions on Circuits and Systems for Video Technology (2023)
- Wang, Zefeng et al. " Transformer-based network with temporal depthwise convolutions for sEMG recognition." Pattern Recognition (2023)
- Lin, Qiuzhen et al. " Dynamic Multiobjective Evolutionary Optimization via Knowledge Transfer and Maintenance." IEEE Transactions on Systems, Man, and Cybernetics: Systems (2023)
- LuLu Cao, M. Jiang et al. " Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations " International Conference on Neural Information Processing (2023) (*)
- Z. Wang, M. Jiang et al. " Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy " IEEE Transactions on Evolutionary Computation (2024) (*)
- Chen, Guoyu et al. " A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm " IEEE Transactions on Emerging Topics in Computational Intelligence (2023)
- Lulu Cao, M. Jiang et al. " An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations " Proceedings of the AAAI Conference on Artificial Intelligence 2024 (2024) (*)
- Z. Wang et al. " Generating diagnostic and actionable explanations for fair graph neural networks " Proceedings of the AAAI Conference on Artificial Intelligence 2024 (2024)
- H. Hong, M. Jiang et al. " Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach " IEEE Transactions on Emerging Topics in Computational Intelligence (2024) (*)
- Y. Ye et al. " Learning-Based Directional Improvement Prediction for Dynamic Multiobjective Optimization " IEEE Transactions on Evolutionary Computation (2024)
Professional
Activities
- Department of Cognitive Science, Xiamen University, Associate Head (2018 - )
- IEEE
Computational Intelligence Society, Intelligent Systems and Applications Technical Committee, Chair (2019 - 2020)
- IEEE
Computational Intelligence Society , Beijing Section Xiamen
Chapter, Founding Chair (2013 - )
- IEEE Computational Intelligence Society, Social
Media Subcommittee, Vice Chair (2013 - 2018 )
- IEEE Computational Intelligence Society, Chapters
Subcommittee, Member (2015 - 2017 )
- IEEE Computational Intelligence Society, Emergent Technologies Technical Committee,
Member , (2012 - )
- China Computer Federation, Theoretical Computer Science Committee,
Member, (2012 - )
- IEEE Computational Intelligence Society, the Robotics Task Force on the Intelligent Systems Applications
Technical Committee, Member (2013-)
- IEEE Computational Intelligence Society, Task
Force on Towards Human-like Intelligence, Member (2013-)
- Fujian Associate for Artificial Intelligence, Member of Council.
Academic Activities
Associate
Editor
Special Issues
Special Sessions
PC Members and Organizing Members
- 2019 IEEE CIS & Xiamen University Summer School on Computational Optimization and Learning (CIS SS 2019), PC Chair
- The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), PC Member
- The 2018 IEEE Congress on Evolutionary Computation (CEC 2018), PC Member
- The 2018International Conference on Neural Information Processing (CONIP 2018)
- The 10th International Conference on Advanced Computational Intelligence (ICACI 2018) , Organizing Co-chairs
- National Conference of Theoretical Computer Science, NCTCS
2018, PC Member
- 2018 IEEE Symposium on Computational Intelligence for
Human-like Intelligence (CIHLI 2018),
PC Member
- The 14th International Symposium on Neural Networks (ISNN 2017),
PC Member
- National Conference of Theoretical Computer Science, NCTCS
2017, PC Member
- 2017 IEEE Symposium on Computational Intelligence for
Human-like Intelligence (CIHLI 2017),
PC Member
- The 13th International Symposium on Neural Networks (ISNN 2016), PC
Member
- The Eighth International Conference on Advanced
Computational Intelligence, (ICACI
2016), PC Member
- 2016 IEEE Symposium on Computational Intelligence for
Human-like Intelligence (CIHLI 2016),
PC Member
- National Conference of Theoretical Computer Science, NCTCS
2016, PC Member
- 2015 IEEE Symposium on Computational Intelligence for
Human-like Intelligence (CIHLI
2015), PC Member
- The Sixth International Conference on Intelligent Control
and Information Processing, ICICIP
2015, PC Member
- The Twelfth International Symposium on Neural Networks, (ISNN 2015), PC
Member
- National Conference of Theoretical Computer Science,NCTCS
2015, PC Member
- AGI'2011, NCTCS'2011, ICACI'2012,
NCTCS'2012, NCTCS'2013, ICACI'2013, ISNN'2013, ICIST'2013NCTCS'2014 ,
ICICIP'2014, ICACI'15
Reviewer
at the
same time I am/was reviewers of different journals, such as
IEEE Transactions on Cybernetics,
IEEE Transactions on
Evolutionary Compuatation, IEEE Transactions on Nerual
Networks and Learning Systems, IEEE Transactions on Autonomous Mental
Development,
IEEE Transactions on Emerging Topics in Computational Intelligence,
Soft Computing,
Neurocomputing,
International Journal of
Humanoid Robotics and
Algorithmica.
Fundings
- Learning-driven Semi-dynamic Bi-level Multi-objective Optimization Method and Its Application in Large Scale Pneumatic Conveying System the National Natural Science Foundation of China
(2023-2026), PI
- Evolving Deep Learning for Heterogeneous Robotics and Its
Transfer Method, the National Natural Science Foundation of China
(2017-2020), PI
- Dynamic Many-objective Optimizations, China Scholarship
Council (2016-2017),
PI
- Transfer Learning and Robotics, Foundation of Xiamen
University's President (2015-2015), PI
- Uncertain Spatio-temporal Cognition in Autonomous Robots
and Its Neural-Symbolic Realization, the National Natural Science
Foundation of China (2011-2013), PI
- Phase Transition and Its Algorithmic Game Spatio-temporal
Epistemic Logic, the Ph.D. Programs Foundation of Ministry of Education
of China (2011-2013), PI
- Spatio-temporal Epistemic Logic and its Application for
Intelligent Robotics, Natural Science Foundation of Fujian Province
(2010-2012), PI
- Model Checking Based on Epistemic Logic and Algorithmic
Game Theory: Theory, Tools and Application, China Postdoctoral Science
Foundation (2007-2009), PI
Honers
and Awards
Courses
- Mathmatical Logics
- Intodction to Intelligent Robotics
- Frontier Lectures in Artificial Intelligence
Seminar
Software
Correspondence
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Mail: |
Min JIANG
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Office: |
Room C705, Administration building, Haiyun Park
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Department of Artificial Intelligence,
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Xiamen University |
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Xiamen Univeristy, |
URL: |
minjiang.github.com OR imt.xmu.edu.cn
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Xiamen 361005, Fujian, China |
Email: |
minjiang at email service provided by Xiamen University
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Last updated:
