Qiang Lu

31 papers A 3B 1Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explainable artificial intelligence in electrocardiography: A systematic review.
Biomed. Signal Process. Control.
Amirsajjad Taleban, Rodney Sparapani, Patrick Noffke, Sharone Zlochiver, Qiang Lu, Michael E. Widlansky, Jake Luo
2026 J jnl
Sequential pattern transformer (SPT): a generative and interpretable framework for predicting disease trajectories.
Neural Comput. Appl.
Mohammad Assadi Shalmani, Masoud Khani, Amirsajjad Taleban, Zihao Yi, Jennifer T. Fink, Christopher E. Weber, Qiang Lu, Jake Luo
2026 J jnl
SymRefine: A symbolic regression approach for refining and compressing neural networks.
Neurocomputing
Wei Wei, Qiang Lu, Can Huang, David Lee, Jake Luo
2026 J jnl
Terrain-aware morphology searching algorithm for self-reconfigurable modular robot in dynamic environment.
Appl. Soft Comput.
Zekun Liu, Qiang Lu, Jake Luo, Zhiguang Wang
2025 J jnl
Benchmarking Large Language Models from Open and Closed Source Models to Apply Data Annotation for Free-Text Criteria in Healthcare.
Future Internet
Ali Nemati, Mohammad Assadi Shalmani, Qiang Lu, Jake Luo
2025 J jnl
Deep Differentiable Symbolic Regression Neural Network.
Neurocomputing
Qiang Lu, Yuanzhen Luo, Haoyang Li, Jake Luo, Zhiguang Wang
2025 J jnl
Discovering Acoustic Impedance Inversion Equation.
IEEE Trans. Geosci. Remote. Sens.
Baimou Li, Qiang Lu, Jake Luo, Zhiguang Wang
2025 J jnl
Embedding neural sampling and adversarial bandit into gene expression programming for symbolic regression.
Appl. Soft Comput.
Qiang Lu, Qiuchen Yuan, Dawei Li, Congwen Xu, Jake Luo, Zhiguang Wang
2025 J jnl
End-to-End Multi-Modal Diffusion Mamba.
CoRR
Chunhao Lu, Qiang Lu, Meichen Dong, Jake Luo
2025 — conf
Refining Neural Network with Symbolic Regression.
GECCO Companion
Wei Wei, Qiang Lu, Can Huang, Jake Luo
2025 — conf
Risk Prediction and Interpretation for Fall Events Using Explainable AI and Large Language Models.
ICMHI
Jake Luo, Masoud Khani, Jazzmyne Adams, Qiang Lu, Kristian O'Connor, David R. Friedland
2024 B conf
Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics.
IJCNN
Mingcai Yuan, Qiang Lu, Xianhao Zeng, Jake Luo, Dawei Li
2024 — conf
An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought.
ECCV (67)
Chunhao Lu, Qiang Lu, Jake Luo
2024 A conf
Differentiable Neural Network for Assembling Blocks.
ECAI
Zhiwei Liu, Qiang Lu, Yibo Zhao, Yanhong Zhao, Jake Luo
2024 J jnl
Prove Symbolic Regression is NP-hard by Symbol Graph.
CoRR
Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang
2024 — conf
Symbol Graph Genetic Programming for Symbolic Regression.
PPSN (1)
Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang
2022 J jnl
AB-GEP: Adversarial bandit gene expression programming for symbolic regression.
Swarm Evol. Comput.
Qiang Lu, Congwen Xu, Jake Luo, Zhiguang Wang
2022 J jnl
Exploring Hidden Semantics in Neural Networks with Symbolic Regression.
CoRR
Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang
2022 A conf
Exploring hidden semantics in neural networks with symbolic regression.
GECCO
Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang
2022 — conf
Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View.
ICANN (3)
Yongnian Fan, Zhiguang Wang, Cheng Chen, Xue Zhang, Qiang Lu
2022 — conf
Nesterov Adam Iterative Fast Gradient Method for Adversarial Attacks.
ICANN (1)
Cheng Chen, Zhiguang Wang, Yongnian Fan, Xue Zhang, Dawei Li, Qiang Lu
2022 J jnl
Taylor Genetic Programming for Symbolic Regression.
CoRR
Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang
2022 A conf
Taylor genetic programming for symbolic regression.
GECCO
Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang
2021 — conf
A Model of Chinese Named Entity Recognition in the Field of Oil and Gas Exploration Using Domain Dictionary.
ICCSE
Bingxu Liu, Zhiguang Wang, Yize Ding, Qiang Lu
2021 — conf
Adversarial bandit gene expression programming for symbolic regression.
GECCO Companion
Congwen Xu, Qiang Lu, Jake Luo, Zhiguang Wang
2021 J jnl
Enhancing gene expression programming based on space partition and jump for symbolic regression.
Inf. Sci.
Qiang Lu, Shuo Zhou, Fan Tao, Jake Luo, Zhiguang Wang
2021 J jnl
Incorporating Actor-Critic in Monte Carlo tree search for symbolic regression.
Neural Comput. Appl.
Qiang Lu, Fan Tao, Shuo Zhou, Zhiguang Wang
2020 — conf
Extracting Chinese Domain-specific Open Entity and Relation by Using Learning Patterns.
ACM TUR-C
Hongying Wen, Zhiguang Wang, Qiang Lu
2020 J jnl
Trajectory splicing.
Knowl. Inf. Syst.
Qiang Lu, Rencai Wang, Bin Yang, Zhiguang Wang
2019 — conf
Space partition based gene expression programming for symbolic regression.
GECCO (Companion)
Qiang Lu, Shuo Zhou, Fan Tao, Zhiguang Wang
2016 J jnl
Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem.
Comput. Intell. Neurosci.
Qiang Lu, Jun Ren, Zhiguang Wang