Author

Huanhuan Chen

Observed names: Chen, Huanhuan, Lyuzhou Chen

Institutions: University of Science and Technology of China, University of Shanghai for Science and Technology

Observed institutions: University of Science and Technology of China, University of Shanghai for Science and Technology, University of Birmingham

ORCID: 0000-0002-3918-384X

Observed ORCID: 0000-0002-3918-384X

OpenAlex ID: A5111896549

Evolving Least Squares Support Vector Machines for Stock Market Trend Mining

2008 · Lean Yu, Huanhuan Chen, et al. · IEEE Transactions on Evolutionary Computation · 219

Probabilistic Classification Vector Machines

2009 · Huanhuan Chen, P. Tino, et al. · IEEE Transactions on Neural Networks · 121

Integrating Large Language Model for Improved Causal Discovery

2025 · Taiyu Ban, Lyuzhou Chen, et al. · IEEE Transactions on Artificial Intelligence · 99

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Semisupervised Classification With Cluster Regularization

2012 · R. G. F. Soares, Huanhuan Chen, et al. · IEEE Transactions on Neural Networks and Learning Systems · 55

Causal Structure Learning Supervised by Large Language Model

2023 · Ban, Taiyu, Chen, Lyuzhou, et al. · arXiv (Cornell University) · 46

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Large-Scale Hierarchical Causal Discovery via Weak Prior Knowledge

2025 · Xiangyu Wang, Taiyu Ban, et al. · IEEE Transactions on Knowledge and Data Engineering · 40

Symbolic Sequence Classification in the Fractal Space

2018 · Yang Li, Bingbing Jiang, et al. · IEEE Transactions on Emerging Topics in Computational Intelligence · 19

Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition

2024 · Shengfei Lyu, Linghao Sun, et al. · International Journal of Crowd Science · 8

Active differentiable structure learning for clinical causal discovery

2025 · Zhenchao Tao, Yanze Gao, et al. · Knowledge-Based Systems · 6

Differentiable Structure Learning with Partial Orders

2024 · Taiyu Ban, Lyuzhou Chen, et al. · neural information processing systems · 6

DQN-SCI: A Reinforcement Learning Method for Sequential Causal Inference

2024 · Enqi Tian, Shengfei Lyu, et al. · International Conference on Big Data and Information Analytics (BigDIA) · 1

Translational maturity of artificial intelligence-enabled electrocardiography varies across cardiovascular diseases

2026 · Huanhuan Chen, Jingjuan Huang, et al. · Frontiers in Cardiovascular Medicine

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MinoClust: Exploiting Minority Sub-Cluster Dynamics for Classification in Imbalanced and Drifting Data Streams

2026 · Hina Farooq, Muhammad Usman, et al. · IEEE Transactions on Emerging Topics in Computational Intelligence

MOPCGRL: Multi-Objective Procedural Content Generation via Reinforcement Learning

2026 · Yi Yuan, Qingquan Zhang, et al. · Complex System Modeling and Simulation

Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space

2025 · Xiren Zhou, Shikang Liu, et al. · International Joint Conference on Artificial Intelligence

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Enhancing Counterfactual Estimation: A Focus on Temporal Treatments

2025 · Xin Wang, Shengfei Lyu, et al. · International Joint Conference on Artificial Intelligence

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A Binary Classification Social Network Dataset for Graph Machine Learning

2025 · Ali, Adnan, Li, Jinglong, et al. · arXiv (Cornell University)

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Sparse Model-Space Learning for Multivariate Sequence Classification

2024 · Ao Chen, Xiren Zhou, et al. · International Conference on Big Data and Information Analytics (BigDIA)

MS-PRNet: A Novel Hierarchical Framework for Optimized and Precise Medical Image Registration

2024 · Zexian Chen, Xiren Zhou, et al. · International Conference on Big Data and Information Analytics (BigDIA)

Works count: 20

Citation count: 626

H-index: 8

I10-index: 7