[2022a] B. Sun, Z. Wu, Y. Hu, T. Li*, “Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces,” Neural Networks 151, 111-120. [paper][代码]

[2022b] J. Li, C. Wang, T. Chen, T. Lu, S. Li, B. Sun, F. Gao, and V. Ntziachristos*, “Deep learning-based quantitative optoacoustic tomography of deep tissues in the absence of labeled experimental data,” Optica 9, 32-41. [paper] [代码] [科学网报道] [Chinadaily报道] [中国日报天津频道报道] [北京日报报道] [天津大学主页报道] [天津大学新闻网报道]

[2021a] Xinshan Zhu, Shuoshi Li, Yongdong Gan, Yun Zhang, Biao Sun*. “Multi-stream Fusion Network with Generalized Smooth L1 Loss for Single Image Dehazing.” IEEE Transactions on Image Processing, DOI: 10.1109/TIP.2021.3108022. [paper]

[2021b] Jiaqi Hu, Yanqiu Zou, Biao Sun, Xinyao Yu, Ziyang Shang, Jie Huang, Shangzhong Jin, Pei Liang. “Raman spectrum classification based on transfer learning by a convolutional neural network: Application to pesticide detection.” Spectrochimica Acta Part A: Molecular andBiomolecular Spectroscopy, 265 (2022) 120366. [paper]

[2021c] Biao Sun, Jia-Jun Lv, Lin-Ge Rui, Yu-Xuan Yang, Yun-Gang Chen, Chao Ma*, Zhong-Ke Gao. “Seizure prediction in scalp EEG based channel attention dual-input convolutional neural network.” Physica A: Statistical Mechanics and its Applications, 126376 [paper]

[2021d] Biao Sun, and Wenfeng Zhao*. “Compressed Sensing of Extracellular Neurophysiology Signals: A Review.” Frontiers in Neuroscience 15 (2021): 682063. [paper]

[2021e] Zhu, Xinshan, Jiayu Wang, Biao Sun*, Chao Ren, Ting Yang, and Jie Ding. “An efficient ensemble method for missing value imputation in microarray gene expression data.” BMC bioinformatics 22, no. 1 (2021): 1-25. [paper]

[2021f] Sun, Biao, Chaoxu Mu, Zexu Wu, and Xinshan Zhu*. “Training-Free Deep Generative Networks for Compressed Sensing of Neural Action Potentials.” IEEE Transactions on Neural Networks and Learning Systems, 33(10): 5190 – 5199, 2021. [paper]

[2021g] Hu, Jiaqi, De Zhang, Hantao Zhao, Biao Sun, Pei Liang*, Jiaming Ye, Zhi Yu, and Shangzhong Jin. “Intelligent spectral algorithm for pigments visualization, classification and identification based on Raman spectra.” Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 250 (2021): 119390. [paper]

[2021h] Sun, Biao, Han Zhang, Yunyan Zhang, Zexu Wu, Botao Bao, Yong Hu, and Ting Li*. “Compressed sensing of large-scale local field potentials using adaptive sparsity analysis and non-convex optimization.” Journal of Neural Engineering 18, no. 2 (2021): 026007. [paper]

[2021i] Zhang, Han, Xing Zhao, Zexu Wu, Biao Sun, and Ting Li*. “Motor imagery recognition with automatic EEG channel selection and deep learning.” Journal of Neural Engineering 18, no. 1 (2021): 016004. [paper]

[2021j] Sun, Biao, Han Zhang, Zexu Wu, Yunyan Zhang, and Ting Li*. “Adaptive Spatiotemporal Graph Convolutional Networks for Motor Imagery Classification.” IEEE Signal Processing Letters 28 (2021): 219-223. [paper]

[2020a] Lu, Tong, Tingting Chen, Feng Gao, Biao Sun, Vasilis Ntziachristos, and Jiao Li*. “LV‐GAN: A deep learning approach for limited‐view optoacoustic imaging based on hybrid datasets.” Journal of Biophotonics 14, no. 2 (2021): e202000325. [paper]

[2020b] Sun, Biao, Xing Zhao, Han Zhang, Ruifeng Bai, and Ting Li*. “EEG Motor Imagery Classification With Sparse Spectrotemporal Decomposition and Deep Learning.” IEEE Transactions on Automation Science and Engineering, 18(2), 541-551, 2020. [paper]

[2019a] Hou, Huirang, Biao Sun*, and Qinghao Meng. “Slow cortical potential signal classification using concave–convex feature.” Journal of neuroscience methods 324 (2019): 108303. [paper]

[2018a] Ni, Yuming, and Biao Sun*. “A remote free-head pupillometry based on deep learning and binocular system.” IEEE Sensors Journal 19, no. 6 (2018): 2362-2369. [paper]

[2018b] Zhu, Xinshan, Yongjun Qian, Xianfeng Zhao, Biao Sun*, and Ya Sun. “A deep learning approach to patch-based image inpainting forensics.” Signal Processing: Image Communication 67 (2018): 90-99. [paper]

[2018c] Zhao, Wenfeng, Biao Sun, Tong Wu, and Zhi Yang*. “On-chip neural data compression based on compressed sensing with sparse sensing matrices.” IEEE transactions on biomedical circuits and systems 12, no. 1 (2018): 242-254. [paper]

[2017a] Hou, Hui-Rang, Qing-Hao Meng, Ming Zeng, and Biao Sun*. “Improving classification of slow cortical potential signals for BCI systems with polynomial fitting and voting support vector machine.” IEEE Signal Processing Letters 25, no. 2 (2017): 283-287. [paper]

[2017b] Liu, Ying-Jie, Qing-Hao Meng*, Pei-Feng Qi, Biao Sun, and Xin-Shan Zhu. “Using spike-based bio-inspired olfactory model for data processing in electronic noses.” IEEE Sensors Journal 18, no. 2 (2017): 692-702. [paper]

[2017c] Qi, Pei-Feng, Ming Zeng, Zhi-Hua Li, Biao Sun, and Qing-Hao Meng*. “Design of a portable electronic nose for real-fake detection of liquors.” Review of Scientific Instruments 88, no. 9 (2017): 095001. [paper]

[2017d] Hui, Feng, Sun Biao*, and Ma Shu-Gen. “One-bit compressed sensing reconstruction for block sparse signals.” ACTA PHYSICA SINICA 66, no. 18 (2017). [paper]

[2017e] Sun, Biao*, and Hui Feng. “Efficient compressed sensing for wireless neural recording: A deep learning approach.” IEEE Signal Processing Letters 24, no. 6 (2017): 863-867. [paper]

[2017f] Sun, Biao*, and Yuming Ni. “A training-free one-bit compressed sensing framework for wireless neural recording.” IEEE Communications Letters 21, no. 8 (2017): 1775-1778. [paper]

[2017g] Sun, Biao, Wenfeng Zhao, and Xinshan Zhu*. “Training-free compressed sensing for wireless neural recording using analysis model and group weighted-minimization.” Journal of neural engineering 14, no. 3 (2017): 036018. [paper]

[2016a] Zhu, Xin-Shan, Ya Sun, Qing-Hao Meng, Biao Sun*, Ping Wang, and Ting Yang. “Optimal watermark embedding combining spread spectrum and quantization.” EURASIP Journal on Advances in Signal Processing 2016, no. 1 (2016): 1-12. [paper]

[2016b] Biao Sun*, Hui Feng, and Xinxin Xu. “History: An efficient and robust algorithm for noisy 1-bit compressed sensing.” IEICE TRANSACTIONS on Information and Systems 99, no. 10 (2016): 2566-2573. [paper]

[2016c] Sun, Biao, Hui Feng, Kefan Chen, and Xinshan Zhu*. “A deep learning framework of quantized compressed sensing for wireless neural recording.” IEEE Access 4 (2016): 5169-5178. [paper]

[2015a] Sun, Biao, and Zhilin Zhang*. “Photoplethysmography-based heart rate monitoring using asymmetric least squares spectrum subtraction and bayesian decision theory.” IEEE Sensors Journal 15, no. 12 (2015): 7161-7168. [paper]

[2014a] Meng-Li Cao, Qing-Hao Meng*, Ming Zeng, Biao Sun, Wei Li, and Cheng-Jun Ding. “Distributed least-squares estimation of a remote chemical source via convex combination in wireless sensor networks.” Sensors 14, no. 7 (2014): 11444-11466. [paper]

[2014b] Xu, Xinxin, Qun Wang, Zhanghong Tang, and Biao Sun*. “Optimal design of non-magnetic metamaterial absorbers using visualization method.” IEICE Electronics Express 11, no. 18 (2014): 20140676-20140676. [paper]

[2013a] Sun, Biao, Qian Chen, Xinxin Xu, Yun He, and Jianjun Jiang*. “Permuted&filtered spectrum compressive sensing.” IEEE Signal Processing Letters 20, no. 7 (2013): 685-688. [paper]

[2013b] Sun, Biao, Qian Chen, Xinxin Xu, Li Zhang, and Jianjun Jiang*. “A fast and accurate two-stage algorithm for 1-bit compressive sensing.” IEICE transactions on information and systems 96, no. 1 (2013): 120-123. [paper]