Publications
A complete list of publications, see my Google Scholar Profile.
2023
New! Yiwen Shi, Ping Ren, Jing Wang, Biao Han, Taha ValizadehAslani, Felix Agbavor, Yi Zhang, Meng Hu, Liang Zhao, Hualou Liang. Leveraging GPT-4 for Food Effect Summarization to Enhance Product-Specific Guidance Development via Iterative Prompting. Journal of Biomedical Informatics. 148: 104533, 2023.
New! Taha ValizadehAslani, Yiwen Shi, Ping Ren, Jing Wang, Yi Zhang, Meng Hu, Liang Zhao, Hualou Liang. PharmBERT: a domain-specific BERT model for drug labels. Briefings in Bioinformatics. 1-10, 2023.
Kaustubh D Dhole et al., NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. Northern European Journal of Language Technology, 2023.
Yiwen Shi, Jing Wang, Ping Ren, Taha ValizadehAslani, Yi Zhang, Meng Hu and Hualou Liang. Fine-Tuning BERT for Automatic ADME Semantic Labeling in FDA Drug Labeling to Enhance Product-Specific Guidance Assessment. Journal of Biomedical Informatics, 104285, 2023.
2022
🔥 Felix Agbavor and Hualou Liang. Predicting Dementia from Spontaneous Speech using Large Language Models. PLOS Digital Health, 1(12): e0000168, 2022. [Media Coverage]
Felix Agbavor and Hualou Liang. Artificial intelligence-enabled end-to-end detection and assessment of Alzheimer’s disease using voice. Brain Sciences, 13(1), 28, 2022.
Yiwen Shi, Taha ValizadehAslani, Jing Wang, Ping Ren, Yi Zhang, Meng Hu, Liang Zhao, Hualou Liang. Improving Imbalanced Learning by Pre-Finetuning with Data Augmentation. Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR. 183:68-82, 2022.
Taha ValizadehAslani, Yiwen Shi, Jing Wang, Ping Ren, Yi Zhang, Meng Hu, Liang Zhao, Hualou Liang. Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data. arXiv:2207.10858, 2022.
Vidhusha Srinivasan, Udayakumar N, Hualou Liang, Kavitha Anandhan. A hybrid approach for analysis of brain lateralization in autistic children using graph theory techniques and deep belief networks, International Journal of Biomedical Engineering and Technology, 39(1): 40-64, 2022
2021
Yiwen Shi, Ping Ren, Yi Zhang, Xiajing Gong, Meng Hu, Hualou Liang. Information Extraction from FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing. Frontiers in Research Metrics and Analytics 6: 40, 2021.
Hualou Liang, Liang Zhao, Xiajing Gong, Meng Hu and Hongbin Wang. Virtual Screening FDA Approved Drugs against Multiple Targets of SARS-CoV-2. Clinical and Translational Science, xx: 1-20, 2021.
2020
Ashley N Opalka, Wenqiang Huang, Jun Liu, Hualou Liang and Dong V Wang. Hippocampal ripple coordinates retrosplenial inhibitory neurons during slow-wave sleep. Cell Reports, 30: 432-441, 2020.
Xin Niu, Fengqing Zhang, John Kounios, and Hualou Liang. Improved prediction of brain age using multimodal neuroimaging data, Human Brain Mapping, 41: 1626-1643, 2020.
2019
Xiajing Gong, Wu Li and Hualou Liang. Spike-Field Granger Causality for Hybrid Neural Data Analysis, Journal of Neurophysiology, 122:809-822, 2019.
Hualou Liang, Fengqing Zhang and Xin Niu, Investigating Systematic Bias in Brain Age Estimation with Application to PTSD, Human Brain Mapping, 3143-3152, 2019.
Taegyo Kim, Kendall A Schmidt, Christopher W Deemie, Joanna Wycech, Hualou Liang, Simon F Giszter. Highly flexible precisely braided multielectrode probes and combinatorics for future neuroprostheses, Frontiers in Neuroscience, 13: 613, 2019.
2018
Mukesh Dhamala, Hualou Liang, Steven L. Bressler and Mingzhou Ding, Granger-Geweke causality: estimation and interpretation, NeuroImage, 175: 460 – 463, 2018.
Meng Hu, Wu Li and Hualou Liang, A Copula-based Granger Causality Measure for the Analysis of Neural Spike Train Data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(2): 562 - 569, 2018.
2017
Rujia Chen, Feng Wang, Hualou Liang, Wu Li. Synergistic processing of visual contours across cortical layers in V1 and V2. Neuron, 96 (6): 1388–1402, 2017.
Hualou Liang, Xiajing Gong, Minggui Chen, Yin Yan, Wu Li, Charles D. Gilbert. Interactions between feedback and lateral connections in the primary visual cortex, Proceedings of the National Academy of Sciences USA, 114 (32): 8637–8642, 2017.
Hualou Liang and Hongbin Wang, Structure-Function Network Mapping and its Assessment via Persistent Homology, PLoS Computational Biology, 13(1): e1005325, 2017.
Meng Hu and Hualou Liang, Multiscale Entropy: Recent Advances, In: Complexity and Nonlinearity in Cardiovascular Signals, edited by Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza, Springer, pp. 115 – 138, 2017.
2016
Meng Hu, Mingyao Li, Wu Li and Hualou Liang, Joint Analysis of Spikes and Local Field Potentials using Copula, NeuroImage, 133: 457 - 467, 2016.
Meng Hu, Mingyao Li, Wu Li and Hualou Liang, Data on Copula Modeling of Mixed Discrete and Continuous Neural Time Series, Data in Brief, 7: 1364 - 1369, 2016.
2015
Meng Hu, Kelsey Clark, Xiajing Gong, Behrad Noudoost, Mingyao Li, Tirin Moore, and Hualou Liang, Copula Regression Analysis of Simultaneously Recorded Frontal Eye Field and Inferotemporal Spiking Activity During Object-based Working Memory, Journal of Neuroscience, 35: 8745 - 8757, 2015.
2014
Meng Hu and Hualou Liang, A copula approach to assessing Granger causality, NeuroImage, 100:125-124, 2014.
Minggui Chen, Yin Yan, Xiajing Gong, Charles Gilbert, Hualou Liang and Wu Li, Incremental Integration of Global Contours through Interplay between Visual Cortical Areas, Neuron, 82: 682–694, 2014.
Meng Hu and Hualou Liang, Search for information-bearing components in neural data, PLoS ONE 9(6): e99793, 2014.
Hualou Liang, Wavelet Analysis, In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience, Springer, New York, 1-3, 2014.
2013
Meng Hu and Hualou Liang, Perceptual suppression revealed by adaptive multi-scale entropy analysis of local field potential in monkey visual cortex, International Journal of Neural Systems, 23(2): 1 – 10, 1350005, 2013.
2012
Meng Hu and Hualou Liang, Adaptive Multiscale Entropy Analysis of Multivariate Neural Data, IEEE Transactions on Biomedical Engineering, 59(1): 12 – 15, 2012.
Sanqing Hu and Hualou Liang, Causality Analysis of Neural Connectivity: New Tool and Limitations of Spectral Granger Causality, Neurocomputing, 76:44 - 47, 2012.
Meng Hu and Hualou Liang, Variance Entropy: A Method for Characterizing Perceptual Awareness of Visual Stimulus, Applied Computational Intelligence and Soft Computing, vol. 2012, Article ID 525396, page 1 - 6, 2012.
Meng Hu and Hualou Liang, Noise-Assisted Instantaneous Coherence Analysis of Brain Connectivity, Computational Intelligence and Neuroscience, Special Issue on Advanced Computational Techniques and Tools for Neuroscience, vol. 2012, Article ID 275073, page 1 - 12, 2012.
Hualou Liang, Joseph D. Bronzino and Donald R. Peterson (editors), Biosignal Processing: Principles and Practices, CRC Press, 2012.
2011
Meng Hu and Hualou Liang, Intrinsic mode entropy based on multivariate empirical mode decomposition and its application to neural data analysis, Cognitive Neurodynamics, 5:277–284, 2011.
Sanqing Hu, Guojun Dai, Gregory Worrell, Qionghai Dai and Hualou Liang, Causality Analysis of Neural Connectivity: Critical Examination of Existing Methods and Advances of New Methods, IEEE Transactions on Neural Networks. 22(6): 829 - 844, 2011.
Meng Hu, Hongmiao Zhang and Hualou Liang, Extraction of microsaccade-related signal from single-trial local field potential by ICA with reference, Neural Computation and Applications, 20:1181 - 1186, 2011.
2010
Elizabeth A. Buffalo, Pascal Fries, Rogier Landman, Hualou Liang and Robert Desimone, A Backwards Progression of Attentional Effects in the Ventral Stream. Proceedings of the National Academy of Sciences USA, 107 (1): 361-365, 2010.
Hongmiao Zhang and Hualou Liang, Decoding Perceptual States from Local Field Potentials in Visual Cortex during Generalized Flash Suppression, International Journal of Bioelectromagnetism, 12 (3): 127 - 132, 2010.
Qiu-Hua Lin, Jingyu Liu, Yong-Rui Zheng, Hualou Liang, and Vince D. Calhoun, Semi-Blind Spatial ICA of fMRI Using Spatial Constraints, Human Brain Mapping, 31(7):1076-88, 2010.
2009
Zhisong Wang, Nikos K. Logothetis and Hualou Liang, Spatiotemporal Neural Integration for Bistable Perception in a Response-Time Structure-From-Motion Task, IEEE Transactions on Biomedical Engineering, 56 (12): 2937 – 2948, 2009.
Zhisong Wang, Nikos K. Logothetis and Hualou Liang, Extraction of Percept-Related Induced Local Field Potential During Spontaneously Reversing Perception, Neural Networks, 22:720 - 727, 2009.
Zhisong Wang, Alexander Maier, Nikos K. Logothetis and Hualou Liang, Extraction of Bistable-Percept-Related Features from Local Field Potential by Integration of Local Regression and Common Spatial Patterns, IEEE Transactions on Biomedical Engineering, 56 (8): 2095 - 2103, 2009.
Zhisong Wang, Alexander Maier, Nikos K. Logothetis and Hualou Liang, Relaxation Based Feature Selection for Single-Trial Decoding of Bistable Perception, IEEE Transactions on Biomedical Engineering, 56 (1):101 – 110, 2009.
Jie Cui, Melanie Wilke, Nikos K. Logothetis, David A Leopold and Hualou Liang, Visibility states modulate microsaccade rate and direction, Vision Research, 49:228 - 236, 2009.
2008
Zhisong Wang, Nikos K. Logothetis and Hualou Liang, Decoding a Bistable Percept with Integrated Time-Frequency Representation of Single-Trial Local Field Potential, Journal of Neural Engineering, 5:433-442, 2008.
Zhisong Wang, Alexander Maier, Nikos K. Logothetis and Hualou Liang, Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition, Computational Intelligence and Neuroscience, vol. 2008, article ID 642387, page 1-10, 2008.
Jie Cui, Lei Xu, Steven L. Bressler, Mingzhou Ding, Hualou Liang, BSMART: a Matlab/C toolbox for analysis of multichannel neural time series, Neural Networks, 21:1094 - 1104, 2008. Download the BSMART package
Zhisong Wang, Alexander Maier, Nikos K. Logothetis and Hualou Liang, Single-Trial Classification of Bistable Perception by Integrating Empirical Mode Decomposition, Clustering and Support Vector Machine, EURASIP Journal on Advances in Signal Processing, vol. 2008, article ID 592742, page 1-8, 2008.
Qiu-Hua Lin , Fu-Liang Yin, Tie-Min Mei and Hualou Liang, A Blind Source Separation Based Method for Multiple Images Encryption, Image and Vision Computing, 26:788 - 798, 2008.
2007
Zhisong Wang, Alexander Maier, David A. Leopold, Nikos K. Logothetis and Hualou Liang, Single-Trial Evoked Potential Estimation Using Wavelet, Computers in Biology and Medicine, 37:463 – 473, 2007.
Qiuhua Lin, Yongrui Zheng, Fuliang Yin, Hualou Liang and Vince D. Calhoun , A Fast Fixed-point Algorithm for One-unit ICA-R, Information Sciences, 177: 1265 - 1275, 2007.
2006
Zhisong Wang, Alexander Maier, David A. Leopold and Hualou Liang, Relaxation based Multichannel Signal Combination (RELAX-MUSIC) for ROC Analysis of Percept-Related Neuronal Activity, IEEE Transactions on Biomedical Engineering, 53 (12), 2615 - 2618, 2006.
Qiuhua Lin, Fuliang Yin, Tiemin Mei and Hualou Liang, A Blind Source Separation Based Method for Speech Encryption, IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 53(6):1320 – 1328, 2006.
Yuqiao Gu, Geir Halnes, Hans Liljenström, Dietrich von Rosen, Björn Wahlund, and Hualou Liang, Modelling ECT effects by connectivity changes in cortical neural networks, Neurocomputing, 69:1341 – 1347, 2006.
2005
Hualou Liang, Steven L. Bressler, Elizabeth A. Buffalo, Robert Desimone and Pascal Fries, Empirical mode decomposition of local field potentials from macaque V4 in visual spatial attention, Biological Cybernetics, , 92 (6), 380 – 392, 2005.
Maciej Kaminski and Hualou Liang, Causal Influence: Advances in Neurosignal Analysis, Critical Reviews in Biomedical Engineering, 33 (4), 347 – 430, 2005.
Hualou Liang, Qiuhua Lin and J. D. Z. Chen, Application of the Empirical Mode Decomposition to the Analysis of Esophageal Manometric Data in Gastroesophageal Reflux Disease, IEEE Transactions on Biomedical Engineering, 52(10), 1692 – 1701, 2005.
Hualou Liang and Jiande Z. Chen, Assessment of the Esophageal Pressure in Gastroesophageal Reflux Disease by the Local Regression, Annals of Biomedical Engineering, 33 (6), 847 – 853, 2005.
Hualou Liang, Steven L. Bressler, Robert Desimone and Pascal Fries, Empirical Mode Decomposition: A Method for Analyzing Neural Data, Neurocomputing, Vol. 65-66, pp. 801-807, 2005.
Yuqiao Gu, Björn Wahlund, Hans Liljenström, Dietrich von Rosen and Hualou Liang, Studying Phase Shift of Clinical EEG Evoked by ECT, Neurocomputing, Vol. 65-66, pp.475-483, 2005.
Hualou Liang, Extraction of Gastric Slow Waves from Electrogastrograms: Combining Independent Component Analysis and Adaptive Signal Enhancement, Medical & Biological Engineering & Computing, 43 (2), 245-251, 2005.
Hualou Liang, Application of Support Vector Machine to the Detection of Delayed Gastric Emptying from Electrogastrograms, In: Support Vector Machines: Theory and Applications, edited by L. Wang, Springer-Verlag, pp. 399 - 412, 2005.
2003
Hualou Liang and Hongbin Wang, Top-Down Anticipatory Control in Prefrontal Cortex, Theory in Biosciences, 122 (1), 70 - 86, 2003.
Hualou Liang, Steven L. Bressler, Mingzhou Ding, Robert Desimone and Pascal Fries, Temporal dynamics of attention-modulated neuronal synchronization in macaque V4, Neurocomputing, Vol. 52-54, pp. 481 - 487, 2003.
2002
Hualou Liang, Steven L. Bressler, Mingzhou Ding, Wilson A. Truccolo and Richard Nakamura, Synchronized activity in prefrontal cortex during anticipation of visuomotor processing, NeuroReport, 13 (16), 2011-2015, 2002.
Hualou Liang and Zhiyue Lin, Stimulus Artifact Cancellation in Gastric Myoelectrical Recordings Using Wavelet Transform, IEEE Transactions on Biomedical Engineering, 49(7), 681 - 688, 2002.
Hualou Liang, Mingzhou Ding, Steven L. Bressler, Temporal dynamics of Information Flow in the Cerebral Cortex, Neurocomputing, Vol.38-40, pp. 1429-1435, 2001. Erratum to “Temporal dynamics of Information Flow in the Cerebral Cortex”, Neurocomputing, Vol.42, pp.339, 2002.
Hualou Liang and Zhiyue Lin, Multiresolution Signal Decomposition and its Applications to Electrogastric Signals, In: Recent research developments in biomedical engineering, 15 - 31, February 2002.
2001
Hualou Liang, Adaptive Independent Component Analysis of Multichannel Electrogastrograms, Medical Engineering & Physics, 23(2), 91-97, 2001.
Hualou Liang and Zhiyue Lin, Detection of Delayed Gastric Emptying from Electrogastrograms with Support Vector Machine, IEEE Transactions on Biomedical Engineering, 48(5), 601-604, 2001.
Hualou Liang, Mingzhou Ding, Steven L. Bressler, The Detection of Cognitive State Transitions by Stability Changes in Event-Related Cortical Field Potentials, Neurocomputing, Vol.38-40, pp. 1423-1428, 2001.
2000
Hualou Liang, Mingzhou Ding, Richard Nakamura, Steven L. Bressler, Causal Influences in Primate Cerebral Cortex during Visual Pattern Discrimination, NeuroReport, 11(13), 2875-2880, 2000.
Mingzhou Ding, Steven L. Bressler, Weiming Yang and Hualou Liang, Short Window Spectral Analysis of Cortical Event-Related Potentials by Adaptive MultiVariate AutoRegressive (AMVAR) Modeling: Data Preprocessing, Model Validation, and Variability Assessment by Bootstrapping, Biological Cybernetics, 83(1), 35-45, 2000.
Hualou Liang, Mingzhou Ding, Steven L. Bressler, On the Tracking of Dynamic Functional Relations in Monkey Cerebral Cortex, Neurocomputing, Vol.32-33, pp. 891-896, 2000.
Hualou Liang, Zhiyue Lin and Richard W. McCallum, Artifact Reduction in electrogastrogram Based on the Empirical Model Decomposition Method, Medical & Biological Engineering & Computing, 38(1), 35-41, 2000.
Hualou Liang, Zhiyue Lin and Richard W. McCallum, Application of Combined Genetic Algorithms with Cascade Correlation to Diagnosis of Delayed Gastric Emptying from Electrogastrograms, Medical Engineering & Physics, 22(3), 229-234, 2000.
1998 and Earlier
Hualou Liang and Guiliang Dai, Improvement of Cascade Correlation Learning Algorithm with an Evolutionary Initialization, Information Sciences, Vol. 112, pp.1 - 6, 1998.
Hualou Liang, Wei Xie, Yigang Xie and Guiliang Dai, Classification of the Primary Cosmic Ray Composition with Neural Networks, High Energy Physics and Nuclear Physics, Vol. 21, No.3 pp.205 - 210, 1997.
Zhiyue Lin, Hualou Liang, Richard McCallum and J.P.Z. Chen, Application of combining genetic algorithms with cascade correlation to diagnosis of delayed Gastric Emptying from the Electrogastrograms, Artificial Neural Networks in Engineering, New York: ASME Press, 697-702, 1997.
Hualou Liang and Guiliang Dai, Neural Network Classifier Based on Genetic Algorithm, Nuclear Electronics & Detection Technology, Vol.16, No.3, pp.174 - 177, 1996.
Hualou Liang and Guiliang Dai, Error Estimation and Error Bounds for Neural Networks, Artificial Neural Networks and Expert Systems, 2, pp.42 - 45, IEEE Computer Society Press, Los Alamitos, CA, 1995
Hualou Liang and Guiliang Dai, Combination of Genetic Algoritms and Artificial Neural Networks: Review and Prospect, ACTA ELECTRONICA SINICA, Vol.23, No.10, pp.197 - 203, 1995.