天津大学教师个人主页系统王瀚 Selected Papers Home

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王瀚

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[1] Z. Li, H. Wang*, J. Duan, B. Li, and Y. Liu, “CSVSUF: A Deep Unfolding Framework for Compressive Spectral Video Sensing”, IEEE Transactions on Image Processing, vol. 35, pp. 6416–6431, 2026, doi: 10.1109/TIP.2026.3700920.
[2] H. Wang*, Z. Li, K. Hu, and Y. Liu, “PnP-SSD: A Score-based Plug-and-Play Prior for Snapshot Spectral Compressive Imaging”, [Preprint], ResearchGate, Feb. 2026. doi: 10.13140/RG.2.2.20141.55521.
[3] Y. Liu*, C. Song, Y. Yin, H. Shi, J. Sun, H. Wang, and M. Xu, “EEG-based analysis of cognitive load under 2D/3D visual stimuli”, Exp Brain Res, vol. 244, no. 7, p. 125, July 2026, doi: 10.1007/s00221-026-07322-w.
[4] Z. Wu, H. Wang, N. Li, H. Cao, and Y. Liu*, “HAOT: Heterogeneous Hardware-Aware Tensor Computation Optimization Framework via Transformer”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 45, no. 7, pp. 3129–3142, July 2026, doi: 10.1109/TCAD.2025.3629566.
[5] Z. Wu, Y. Liu*, N. Li, H. Cao, and H. Wang, “An Agile Design Method for Reconfigurable Spatial Accelerators in Tensor Computation”, in 2025 International Symposium of Electronics Design Automation (ISEDA), May 2025, pp. 35–40. doi: 10.1109/ISEDA65950.2025.11100357.
[6] Y. Wang, H. Wang*, R. Liu, S. Wang, and Y. Liu, “A Hybrid Attention Network with Color Query for Image Colorization”, presented at the 2025 44th Chinese Control Conference (CCC), July 2025.
[7] K. Tian, H. Wang, Z. Wu, Y. Lyu, M. I. Vai, and Y. Liu*, “Multibit Attention Fusion for Gaze Estimation Using 12-Bit RAW Data From CMOS Sensors”, IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1–13, 2025, doi: 10.1109/TIM.2025.3568959.
[8] Y. Lyu, H. Wang*, K. Hu, S. Wang, and Y. Liu, “Text-Aware Learned Image Compression: Preserving Text Readability with Mask-Guided Transform”, presented at the 2025 44th Chinese Control Conference (CCC), July 2025.
[9] R. Liu, H. Wang*, K. Hu, S. Wang, and Y. Liu*, “F2Fusion: Frequency Feature Fusion Network for Infrared and Visible Image via Contourlet Transform and Mamba-UNet”, IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1–17, 2025, doi: 10.1109/TIM.2025.3580829.
[10] R. Liu, Y. Liu, H. Wang*, J. Li, and K. Hu, “SAFFusion: a saliency-aware frequency fusion network for multimodal medical image fusion”, Biomed. Opt. Express, vol. 16, no. 6, p. 2459, June 2025, doi: 10.1364/BOE.555458.
[11] J. Liu, H. Wang*, R. Liu, S. Wang, and Y. Liu*, “Sequential Spectral-Spatial Feature Convolution Network With Self-Attention for Remote Sensing Hyperspectral Image Classification”, IEEE Trans. Geosci. Remote Sensing, vol. 63, pp. 1–15, 2025, doi: 10.1109/TGRS.2024.3508737.
[12] C. Kang, H. Wang*, R. Liu, S. Wang, and Y. Liu, “CaFEN: A Causal Feature Embedding Network for Visible-Infrared Image Registration”, presented at the 2025 44th Chinese Control Conference (CCC), July 2025.
[13] K. Hu, H. Wang, Y. Lyu, R. Liu, and Y. Liu*, “Text-Guided ROI-Based Neural Image Compression”, IEEE Transactions on Broadcasting, pp. 1–10, 2025, doi: 10.1109/TBC.2025.3609065.
[14] W. Han, H. Wang, Z. Wu, and Y. Liu*, “Design of a RISC-V Based Hybrid Encryption Coprocessor for Resource-Constrained Environments”, in 2025 International Symposium of Electronics Design Automation (ISEDA), May 2025, pp. 64–69. doi: 10.1109/ISEDA65950.2025.11100964.
[15] P. Cao, H. Wang, H. Cao, Z. Wu, and Y. Liu*, “A Flexible Dual-Mode and Efficient RISC-V Coprocessor for On-Node FFT Acceleration in Edge Sensing”, IEEE Embedded Systems Letters, pp. 1–1, 2025, doi: 10.1109/LES.2025.3634524.
[16] 肖然, 刘昱*, 刘人赫和王瀚, “一种补偿互联网传输降质的人脸图像增强方法”, 华中科技大学学报（自然科学版）, 卷 53, 期 5, 页 71–77, 127, 2025, doi: 10.13245/j.hust.250104.
[17] 刘昱, 陈永祺, 王瀚, 刘人赫和汪少初*, “基于通道协同与色彩校正的RAW数据到RGB图像重建方法”, 天津大学学报（自然科学与工程技术版）, 卷 58, 期 4, 页 395–405, 2025.
[18] Y. Zhou, H. Wang*, S. Wang, and Y. Liu, “Nested U-Net with Separable 3D Convolution for Hyperspectral Image Super-Resolution”, in 2024 43rd Chinese Control Conference (CCC), July 2024, pp. 7996–8001. doi: 10.23919/CCC63176.2024.10661740.
[19] S. Wang, H. Wang*, R. Liu, Z. Wu, B. Wei, and Y. Liu, “MSCFormer: Multi-Scale Circular Transformer for Image Deblurring”, in 2024 IEEE International Conference on Visual Communications and Image Processing (VCIP), Dec. 2024, pp. 1–5. doi: 10.1109/VCIP63160.2024.10849898.
[20] R. Liu, Y. Liu, H. Wang*, and S. Du, “WaveFusionNet: Infrared and visible image fusion based on multi-scale feature encoder–decoder and discrete wavelet decomposition”, Optics Communications, vol. 573, p. 131024, Dec. 2024, doi: 10.1016/j.optcom.2024.131024.

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