Multimedia Signal Processing and Hardware Aware Intelligent Systems Lab

Peiguang Jing, Haoyi Sun, Liqiang Nie, Yun Li, Yuting Su. "Deep Multi - modal Hashing with Semantic Enhancement for Multi - label Micro - video Retrieval," IEEE Transactions on Knowledge and Data Engineering, 2024, 36(10): 5080 - 5091.

Peiguang Jing, Xuan Zhao, Fugui Fan, Fan Yang, Yun Li, Yuting Su. "Multimodal Progressive Modulation Network for Micro - video Multi - label Classification," IEEE Transactions on Multimedia, 2024, 26: 10134 - 10144.

Peiguang Jing, Yuting Su, Liqiang Nie, Xu Bai, Jing Liu, Meng Wang. "Low - rank Multi - view Embedding Learning for Micro - video Popularity Prediction," IEEE Transactions on Knowledge and Data Engineering, 2018, 30(8): 1519 - 1532.

Wei Lu, Yujia Zhai, Jiaze Han, Peiguang Jing*, Yu Liu, Yuting Su. "VMemNet: A Deep Collaborative Spatial - Temporal Network with Attention Representation for Video Memorability Prediction," IEEE Transactions on Multimedia, 2024, 26: 4926 – 4937.

Peiguang Jing, Yuechen Shang, Liqiang Nie, Yuting Su*, Jing Liu, Meng Wang. "Learning Low - rank Sparse Representations with Robust Relationship Inference for Image Memorability Prediction," IEEE Transactions on Multimedia, 2021, 23: 2259 - 2272.

Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su. "StyleEDL: Style - Guided High - order Attention Network for Image Emotion Distribution Learning," In Proceedings of ACM International Conference on Multimedia, 2023: 853 - 861.

Yuting Su, Wei Zhao, Peiguang Jing*, Liqiang Nie. "Exploiting Low - rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distribution," IEEE Transactions on Multimedia, 2023, 25: 1243 - 1255.

Anan Liu, Yingdi Shi, Peiguang Jing*, Jing Liu, Yuting Su. "Structured Low - rank Inverse - covariance Estimation for Visual Sentiment Distribution Prediction," Signal Processing, 2018, 152: 206 - 216.

K. Hu, Y. Liu, F. Xu, R. Liu, H. Wang and S. Song, "Asymmetric Neural Image Compression with High - Preserving Information," 2024 IEEE International Symposium on Circuits and Systems (ISCAS), Singapore, Singapore, 2024, pp. 1 - 5, doi: 10.1109/ISCAS58744.2024.10558635.

S. Wang, H. wang, R. Liu, Z. Wu, B. Wei, Y. Liu. "MSCFormer: Multi - Scale Circular Transformer for Image Deblurring." in 2024 IEEE International Conference on Visual Communications and Image Processing (VCIP), Tokyo, Japan, Dec, 2024.

Z Huang, J Duan, Y Xie, Y Liu. "UDNet: Unified Deep Network based on Transformer and Multi - stage Fusion for brain tumor classification from undersampled MRI," Neurocomputing 619, 129109.

J Duan, Z Huang, Y Xie, J Wang, Y Liu. "Transformer - and joint learning - based dual - domain networks for undersampled MRI segmentation," Medical Physics 51 (11), 8108 - 8123.

H Jiang, H Wang, T Pan, Y Liu, P Jing, Y Liu. "Mobile Application and Machine Learning - Driven Scheme for Intelligent Diabetes Progression Analysis and Management Using Multiple Risk Factors," Bioengineering 11 (11), 1053.

J Duan, Y Liu, J Wang. "Accelerated SPIRiT parallel MR image reconstruction based on joint sparsity and sparsifying transform learning," IEEE Transactions on Computational Imaging 9, 276 - 288.

T Pan, J Duan, J Wang, Y Liu. "Iterative self - consistent parallel magnetic resonance imaging reconstruction based on nonlocal low - rank regularization," Magnetic Resonance Imaging 88, 62 - 75.

J Duan, T Pan, Y Liu, J Wang. "Non - local low - rank constraint - based self - consistent PMRI reconstruction using eigenvector maps," IET Signal Processing 17 (3), e12180.

R Liu, Y Liu, H Wang, K Hu, S Du. "A Novel Medical Image Fusion Framework Integrating Multi - scale Encoder - Decoder with Discrete Wavelet Decomposition," ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and ….

Renhe Liu, Yu Liu, Han Wang, Shan Du. "WaveFusionNet: Infrared and visible image fusion based on multi - scale feature encoder - decoder and discrete wavele decomposition," Optics Communications, Volume 573, 2024, https://doi.org/10.1016/j.optcom.2024.131024.

H Wang, J Tang, Z Wu, Y Liu. "A multibeam steerable parametric array loudspeaker for distinct audio content directing," IEEE Sensors Journal 22 (13), 13640 - 13647.

H Wang, X Liu, P Jing, Y Liu. "Airborne Ultrasound Haptics from Amplitude and Spatiotemporal Modulation of Acoustic Vortices," IEEE Sensors Letters.

[1] Yin Q, Li D, Wu Z, Liu Y, et al. "Design and implementation of RISC-V system-on-chip for SPWM generation based on FPGA," IEICE Electronics Express, 2024, 21(24): 20240603 - 20240603.

唐钏，曾林，刘昱. "面向步进电机控制的 RISC-V 微控制器的设计与实现," Journal of Chongqing University, Vol. 44, No. 11, Nov. 2021, doi:10.11835/j.issn.1000 - 582X.2021.11.005.

唐钏, 白志华, 李德建，王于波, 刘昱. "面向 SM4 算法优化的指令集扩展方法与 SoC 实现," 第十五届全国信号和智能信息处理与应用学术会议论文集, p. 107.

Yin, Xiaodi, Zhipeng Wu, Dejian Li, Chongfei Shen, and Yu Liu. "An efficient hardware accelerator for block sparse convolutional neural networks on fpga," IEEE Embedded Systems Letters, 2023.

Lai, Ji, Lixin Yang, Dejian Li, Chongfei Shen, Xi Feng, Jizeng Wei, and Yu Liu. "Design and Optimization of Winograd Convolution on Array Accelerator," Journal of Beijing Institute of Technology, 32, no. 1 (2023): 69 - 81.

Chen Y, Dejian L, Xi F, Yu Liu, et al. "Fast Fourier transform convolutional neural network accelerator based on overlap addition," The Journal of China Universities of Posts and Telecommunications, 2024, 31(05): 71 - 84. DOI: 10.19682/j.cnki.1005 - 8885.2024.0015.

Tianle M, Zhipeng W, Yu Liu et al. "FCCOA:a High - Performance FPGA - Based Accelerator for Approximate Nearest Neighbor Search," Accepted 2025 IEEE International Symposium on Circuits and Systems(ISCAS).

Wu, Zhipeng, Yue Hu, Ning Li, Wei Lu, and Yu Liu. "HiEval: A scheduling performance estimation approach for spatial accelerators via hierarchical abstraction," Journal of Systems Architecture, 148 (2024): 103079.

Li, Ning, Dejian Li, Zhipeng Wu, Peiguang Jing, Sio Hang Pun, and Yu Liu. "SubMap: A Partial Mapping Strategy for CGRA Based on sub-CGRA Exploration," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024).

Hu, Yue, Chongfei Shen, Lixin Yang, Zhipeng Wu, and Yu Liu. "A novel predictor with optimized sampling method for hardware-aware NAS," In 2022 26th International Conference on Pattern Recognition (ICPR), pp. 2114 - 2120. IEEE, 2022.

Y Yin, H Wang, S Liu, J Sun, P Jing, Y Liu. "Internet of things for diagnosis of alzheimer’s disease: A multimodal machine learning approach based on eye movement features," IEEE Internet of Things Journal 10 (13), 11476 - 11485.

F Zuo, P Jing, J Sun, J Duan, Y Ji, Y Liu. "Deep Learning - based Eye - Tracking Analysis for Diagnosis of Alzheimer's Disease Using 3D Comprehensive Visual Stimuli," IEEE Journal of Biomedical and Health Informatics.

J Sun, Z Wu, H Wang, P Jing, Y Liu. "A novel integrated eye - tracking system with stereo stimuli for 3 - D gaze estimation," IEEE Transactions on Instrumentation and Measurement 72, 1 - 15.

J Sun, Y Liu, H Wu, P Jing, Y Ji. "A novel deep learning approach for diagnosing Alzheimer's disease based on eye - tracking data," Frontiers in Human Neuroscience 16, 972773.

H Jiang, H Wang, T Pan, Y Liu, P Jing, Y Liu. "Mobile Application and Machine Learning - Driven Scheme for Intelligent Diabetes Progression Analysis and Management Using Multiple Risk Factors," Bioengineering 11 (11), 1053.

Y Liu, S Li, H Jiang, J Wang. "Exploring the relationship between hypertension and nutritional ingredients intake with machine learning," Healthcare Technology Letters 7 (4), 103 - 108.

Y Ru, H Jiang, H Song, B Wei, Y Liu. "DDIN: Enhancing Food Ingredient Recognition with Region and Category Discovery Modules," 2024 IEEE International Conference on Visual Communications and Image.

B Chen, R Zhang, S Wang, L Zhang, Y Liu. "Deep - learning - based inertial odometry for pedestrian tracking using attention mechanism and res2net module," IEEE Sensors Letters 6 (11), 1 - 4.

Y Liu, Q Gong, S Wang, L Zhang, F Xu. "An Outdoor Pedestrian Localization Scheme Fusing PDR and VPR," Wireless Communications and Mobile Computing 2022 (1), 2898343.

L Zhang, B Chen, H Li, Y Liu. "Deep neural network‐based adaptive zero‐velocity detection for pedestrian navigation system," Electronics Letters 58 (1), 28 - 31.

L Zhang, Y Liu, J Sun. "A hybrid framework for mitigating heading drift for a wearable pedestrian navigation system through adaptive fusion of inertial and magnetic measurements," Applied Sciences 11 (4), 1902.

Y Liu, S Li, C Mu, Y Wang. "Step length estimation based on D‐ZUPT for pedestrian dead‐reckoning system," Electronics letters 52 (11), 923 - 924.

"Pedestrian dead reckoning" RUNNER-UP," IEEE IPIN 2017 Indoor Localization Offline Competition, in Sapporo 2017.