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ORCIDLizhi Wang 0001
Person information
- affiliation: Beijing Institute of Technology, School of Computer, Beijing, China
- affiliation: Beijing Normal University, School of Artificial Intelligence, Beijing, China
- affiliation (PhD 2016): Xidian University, Xi'an, China
Other persons with the same name
- Lizhi Wang — disambiguation page
- Lizhi Wang 0002
![[0000-0002-5527-4047]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5527-4047")
— Oklahoma State University, USA (and 1 more) - Lizhi Wang 0003 — Sichuan University, Chengdu, China
- Lizhi Wang 0004 — Beihang University, Beijing, China
- Lizhi Wang 0005 — Stony Brook University, Stony Brook, NY, USA
- Lizhi Wang 0006 — University of California, Irvine, CA, USA
- Lizhi Wang 0007 — Henan Agricultural University, Zhengzhou, China
- Lizhi Wang 0009 — Xi'an High-Tech Research Institution, Xi'an, China
- Lizhi Wang 0010 — Donghua University, Shanghai, China
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2020 – today
- 2025
[j25]Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong:
Continuous Spatial-Spectral Reconstruction via Implicit Neural Representation. Int. J. Comput. Vis. 133(1): 106-128 (2025)- [j24]Mengyue Geng, Lizhi Wang, Lin Zhu, Wei Zhang, Ruiqin Xiong, Yonghong Tian:
Towards Ultra High-Speed Hyperspectral Imaging by Integrating Compressive and Neuromorphic Sampling. Int. J. Comput. Vis. 133(4): 1587-1610 (2025) - [j23]Xiangtian Ma, Lizhi Wang, Xin Wang, Weitao Song, Qilin Sun, Lin Zhu, Hua Huang:
Learning Refractive-Diffractive Optics with Unidirectional Transformer for Large Field-of-View Imaging. Int. J. Comput. Vis. 133(11): 7570-7590 (2025) - [j22]Mengyue Geng, Lizhi Wang, Lin Zhu, Wei Zhang, Ruiqin Xiong, Yonghong Tian:
Event-Enhanced Snapshot Mosaic Hyperspectral Frame Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 206-223 (2025) - [j21]Lin Zhu, Xianzhang Chen, Lizhi Wang, Xiao Wang, Yonghong Tian, Hua Huang:
Continuous-Time Object Segmentation Using High Temporal Resolution Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 807-824 (2025) - [j20]Jie Lian, Lizhi Wang, Lin Zhu, Renwei Dian, Zhiwei Xiong, Hua Huang:
Building Non-Uniform Degradation Model for Position-Aware Hyperspectral Image Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 47(12): 11464-11482 (2025) - [j19]Lujie Xia, Ruiqin Xiong, Jing Zhao, Lizhi Wang, Shuyuan Zhu, Xiaopeng Fan, Tie-Jun Huang:
High Spatio-Temporal Imaging Reconstruction for Hybrid Spike-RGB Cameras. IEEE Trans. Computational Imaging 11: 586-598 (2025) - [j18]Jie Lian, Lizhi Wang, He Sun, Hua Huang:
GT-HAD: Gated Transformer for Hyperspectral Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3631-3645 (2025) - [c38]Yuchen Wang, Hongyuan Wang, Lizhi Wang, Xin Wang, Lin Zhu, Wanxuan Lu, Hua Huang:
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising. CVPR 2025: 12679-12689 - [c37]Tong Li, Lizhi Wang, Zhiyuan Xu, Lin Zhu, Wanxuan Lu, Hua Huang:
Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising. CVPR 2025: 17924-17934 - [c36]Lin Zhu, Xiantao Ma, Xiao Wang, Lizhi Wang, Hua Huang:
EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams. ICML 2025 - [c35]Zhicheng Lian, Lizhi Wang, Hua Huang:
APG-MOS: Auditory Perception Guided-MOS Predictor for Synthetic Speech. ACM Multimedia 2025: 450-459 - [c34]Lin Zhu, Ruonan Liu, Xiao Wang, Lizhi Wang, Hua Huang:
Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events. ACM Multimedia 2025: 7490-7499 - [i23]Zhicheng Lian, Lizhi Wang, Hua Huang:
APG-MOS: Auditory Perception Guided-MOS Predictor for Synthetic Speech. CoRR abs/2504.20447 (2025) - [i22]Tong Li, Lizhi Wang, Hansen Feng, Lin Zhu, Hua Huang:
PDE: Gene Effect Inspired Parameter Dynamic Evolution for Low-light Image Enhancement. CoRR abs/2505.09196 (2025) - [i21]Hansen Feng, Lizhi Wang, Yiqi Huang, Tong Li, Lin Zhu, Hua Huang:
YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency. CoRR abs/2506.03645 (2025) - [i20]Lin Zhu, Ruonan Liu, Xiao Wang, Lizhi Wang, Hua Huang:
Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events. CoRR abs/2508.05507 (2025) - [i19]Alexander Yakovenko, George Chakvetadze, Ilya Khrapov, Maksim Zhelezov, Dmitry Vatolin, Radu Timofte, Youngjin Oh, Junhyeong Kwon, Junyoung Park, Nam Ik Cho, Senyan Xu, Ruixuan Jiang, Long Peng, Xueyang Fu, Zheng-Jun Zha, Xiaoping Peng, Hansen Feng, Zhanyi Tie, Ziming Xia, Lizhi Wang:
AIM 2025 Low-light RAW Video Denoising Challenge: Dataset, Methods and Results. CoRR abs/2508.16830 (2025) - 2024
- [j17]Maoqing Zhang, Lizhi Wang, Lin Zhu, Hua Huang:
Learning a physics-based filter attachment for hyperspectral imaging with RGB cameras. Neurocomputing 580: 127474 (2024) - [j16]Hansen Feng, Lizhi Wang, Yuzhi Wang, Haoqiang Fan, Hua Huang:
Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 370-387 (2024) - [j15]Lizhi Wang, Lingen Li, Weitao Song, Lei Zhang, Zhiwei Xiong, Hua Huang:
Non-Serial Quantization-Aware Deep Optics for Snapshot Hyperspectral Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 6993-7010 (2024) - [j14]Tong Li, Hansen Feng, Lizhi Wang, Lin Zhu, Zhiwei Xiong, Hua Huang:
Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8240-8257 (2024) - [j13]He Sun, Lizhi Wang, Lei Zhang, Lianru Gao:
Hyperbolic Space-Based Autoencoder for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [c33]Xinyuan Liu, Lingen Li, Lin Zhu, Lizhi Wang:
Computational Spectral Imaging with Unified Encoding Model and Beyond. CVPR Workshops 2024: 1368-1378 - [c32]Lin Zhu, Kangmin Jia, Yifan Zhao, Yunshan Qi, Lizhi Wang, Hua Huang:
SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream. CVPR 2024: 6285-6295 - [c31]Xin Wang, Lizhi Wang, Xiangtian Ma, Maoqing Zhang, Lin Zhu, Hua Huang:
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging. CVPR 2024: 24881-24891 - [c30]Mengyue Geng, Lin Zhu, Lizhi Wang, Wei Zhang, Ruiqin Xiong, Yonghong Tian:
Event-Based Visible and Infrared Fusion via Multi-Task Collaboration. CVPR 2024: 26919-26929 - [c29]Yuanshen Guan, Ruikang Xu, Mingde Yao, Ruisheng Gao, Lizhi Wang, Zhiwei Xiong:
Diffusion-Promoted HDR Video Reconstruction. ECCV Workshops (9) 2024: 20-38 - [c28]Hongyuan Wang, Lizhi Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan:
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence. ECCV (25) 2024: 375-391 - [c27]Lin Zhu, Yunlong Zheng, Yijun Zhang, Xiao Wang, Lizhi Wang, Hua Huang:
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction. ECCV (40) 2024: 411-427 - [c26]Yuchen Wang, Hongyuan Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Lizhi Wang:
Hysat++: Hybrid Spectral-Wise Attention Transformer for Skin Spectral Reconstruction. ICASSP Workshops 2024: 87-88 - [c25]Panjun Liu, Jiacheng Li, Lizhi Wang, Zheng-Jun Zha, Zhiwei Xiong:
MLP Embedded Inverse Tone Mapping. ACM Multimedia 2024: 1283-1291 - [i18]Jie Lian, Lizhi Wang, Lin Zhu, Renwei Dian, Zhiwei Xiong, Hua Huang:
Physics-Inspired Degradation Models for Hyperspectral Image Fusion. CoRR abs/2402.02411 (2024) - [i17]Lin Zhu, Kangmin Jia, Yifan Zhao, Yunshan Qi, Lizhi Wang, Hua Huang:
SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream. CoRR abs/2403.11222 (2024) - [i16]Muge Yan, Lizhi Wang, Lin Zhu, Hua Huang:
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction. CoRR abs/2406.00683 (2024) - [i15]Yuanshen Guan, Ruikang Xu, Mingde Yao, Ruisheng Gao, Lizhi Wang, Zhiwei Xiong:
Diffusion-Promoted HDR Video Reconstruction. CoRR abs/2406.08204 (2024) - [i14]Lin Zhu, Yunlong Zheng, Yijun Zhang, Xiao Wang, Lizhi Wang, Hua Huang:
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction. CoRR abs/2407.10636 (2024) - [i13]Pengjie Zhang, Lin Zhu, Lizhi Wang, Hua Huang:
Unifying Event-based Flow, Stereo and Depth Estimation via Feature Similarity Matching. CoRR abs/2407.21735 (2024) - [i12]Tong Li, Lizhi Wang, Zhiyuan Xu, Lin Zhu, Wanxuan Lu, Hua Huang:
Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising. CoRR abs/2412.16460 (2024) - [i11]Yuchen Wang, Hongyuan Wang, Lizhi Wang, Xin Wang, Lin Zhu, Wanxuan Lu, Hua Huang:
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising. CoRR abs/2412.16645 (2024) - 2023
- [j12]Maoqing Zhang, Lizhi Wang, Hua Huang:
Sub-Pixel Dispersion Model for Coded Aperture Snapshot Spectral Imaging. IEEE Trans. Computational Imaging 9: 1188-1200 (2023) - [c24]Yuanshen Guan, Ruikang Xu, Mingde Yao, Lizhi Wang, Zhiwei Xiong:
Mutual-Guided Dynamic Network for Image Fusion. ACM Multimedia 2023: 1779-1788 - [c23]Hongyuan Wang, Lizhi Wang, Chang Chen, Xue Hu, Fenglong Song, Hua Huang:
Learning Spectral-wise Correlation for Spectral Super-Resolution: Where Similarity Meets Particularity. ACM Multimedia 2023: 7676-7685 - [c22]Lin Zhu, Yunlong Zheng, Mengyue Geng, Lizhi Wang, Hua Huang:
Recurrent Spike-based Image Restoration under General Illumination. ACM Multimedia 2023: 8251-8260 - [i10]Tong Li, Hansen Feng, Lizhi Wang, Zhiwei Xiong, Hua Huang:
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling. CoRR abs/2307.03992 (2023) - [i9]Lin Zhu, Yunlong Zheng, Mengyue Geng, Lizhi Wang, Hua Huang:
Recurrent Spike-based Image Restoration under General Illumination. CoRR abs/2308.03018 (2023) - [i8]Yuanshen Guan, Ruikang Xu, Mingde Yao, Lizhi Wang, Zhiwei Xiong:
Mutual-Guided Dynamic Network for Image Fusion. CoRR abs/2308.12538 (2023) - [i7]Hansen Feng, Lizhi Wang, Yiqi Huang, Yuzhi Wang, Hua Huang:
Physics-guided Noise Neural Proxy for Low-light Raw Image Denoising. CoRR abs/2310.09126 (2023) - [i6]Hongyuan Wang, Lizhi Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan:
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Unified Spatial-Spectral Attention Meets Mutual Linear Dependence. CoRR abs/2312.12833 (2023) - [i5]Xinyuan Liu, Lizhi Wang, Lingen Li, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan:
Computational Spectral Imaging with Unified Encoding Model: A Comparative Study and Beyond. CoRR abs/2312.13310 (2023) - [i4]Xin Wang, Lizhi Wang, Xiangtian Ma, Maoqing Zhang, Lin Zhu, Hua Huang:
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging. CoRR abs/2312.13319 (2023) - 2022
- [j11]Ying Fu, Tao Zhang, Lizhi Wang, Hua Huang:
Coded Hyperspectral Image Reconstruction Using Deep External and Internal Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3404-3420 (2022) - [j10]He Sun, Lei Zhang, Lizhi Wang, Hua Huang:
Stochastic gate-based autoencoder for unsupervised hyperspectral band selection. Pattern Recognit. 132: 108969 (2022) - [j9]Lingfei Song, Lizhi Wang, Min H. Kim, Hua Huang:
High-Accuracy Image Formation Model for Coded Aperture Snapshot Spectral Imaging. IEEE Trans. Computational Imaging 8: 188-200 (2022) - [c21]Lingen Li, Lizhi Wang, Weitao Song, Lei Zhang, Zhiwei Xiong, Hua Huang:
Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging. CVPR 2022: 19748-19757 - [c20]Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong:
Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation. ECCV Workshops (5) 2022: 78-94 - [c19]Hansen Feng, Lizhi Wang, Yuzhi Wang, Hua Huang:
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling. ACM Multimedia 2022: 1436-1444 - [i3]Hansen Feng, Lizhi Wang, Yuzhi Wang, Hua Huang:
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling. CoRR abs/2207.06103 (2022) - 2021
- [j8]Lizhi Wang, Shipeng Zhang, Hua Huang:
Adaptive Dimension-Discriminative Low-Rank Tensor Recovery for Computational Hyperspectral Imaging. Int. J. Comput. Vis. 129(10): 2907-2926 (2021) - [j7]Zhan Wang, Lizhi Wang, Hua Huang:
Sparse additive discriminant canonical correlation analysis for multiple features fusion. Neurocomputing 463: 185-197 (2021) - [j6]Zhan Wang, Lizhi Wang, Jun Wan, Hua Huang:
Shared Low-Rank Correlation Embedding for Multiple Feature Fusion. IEEE Trans. Multim. 23: 1855-1867 (2021) - [c18]Shipeng Zhang, Lizhi Wang, Lei Zhang, Hua Huang:
Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction. CVPR 2021: 12006-12015 - [i2]Niankai Cheng, Hua Huang, Lei Zhang, Lizhi Wang:
Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization. CoRR abs/2101.08923 (2021) - [i1]Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong:
Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation. CoRR abs/2112.13003 (2021) - 2020
- [j5]Zhan Wang, Lizhi Wang, Hua Huang:
Joint low rank embedded multiple features learning for audio-visual emotion recognition. Neurocomputing 388: 324-333 (2020) - [c17]Lizhi Wang, Chen Sun, Maoqing Zhang, Ying Fu, Hua Huang:
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging. CVPR 2020: 1658-1668 - [c16]Zhan Wang, Lizhi Wang, Hua Huang:
Structure Preserving Multi-View Dimensionality Reduction. ICME 2020: 1-6 - [c15]Niankai Cheng, Hua Huang, Lei Zhang, Lizhi Wang:
Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization. ICPR 2020: 1267-1274 - [c14]Zhan Wang, Lizhi Wang, Lei Zhang, Hua Huang:
Embedding shared low-rank and feature correlation for multi-view data analysis. ICPR 2020: 1686-1693
2010 – 2019
- 2019
- [j4]Lizhi Wang, Zhiwei Xiong, Hua Huang, Guangming Shi, Feng Wu, Wenjun Zeng:
High-Speed Hyperspectral Video Acquisition By Combining Nyquist and Compressive Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 857-870 (2019) - [j3]Lizhi Wang, Tao Zhang, Ying Fu, Hua Huang:
HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging. IEEE Trans. Image Process. 28(5): 2257-2270 (2019) - [c13]Lizhi Wang, Chen Sun, Ying Fu, Min H. Kim, Hua Huang:
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior. CVPR 2019: 8032-8041 - [c12]Tao Zhang, Ying Fu, Lizhi Wang, Hua Huang:
Hyperspectral Image Reconstruction Using Deep External and Internal Learning. ICCV 2019: 8558-8567 - [c11]Shipeng Zhang, Lizhi Wang, Ying Fu, Xiaoming Zhong, Hua Huang:
Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery. ICCV 2019: 10182-10191 - [c10]Mingde Yao, Zhiwei Xiong, Lizhi Wang, Dong Liu, Xuejin Chen:
Computational Spectral-Depth Imaging with a Compact System. SIGGRAPH Asia Posters 2019: 26:1-26:2 - 2018
- [j2]Lizhi Wang, Zhiwei Xiong, Guangming Shi, Wenjun Zeng, Feng Wu:
Simultaneous Depth and Spectral Imaging With a Cross-Modal Stereo System. IEEE Trans. Circuits Syst. Video Technol. 28(3): 812-817 (2018) - [c9]Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian:
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. ECCV Workshops (5) 2018: 356-371 - [c8]Huiqun Li, Zhiwei Xiong, Zhan Shi, Lizhi Wang, Dong Liu, Feng Wu:
HSVCNN: CNN-Based Hyperspectral Reconstruction from RGB Videos. ICIP 2018: 3323-3327 - [c7]Ying Fu, Chen Sun, Lizhi Wang, Hua Huang:
Snapshot Multiplexed Imaging Based on Compressive Sensing. PCM (2) 2018: 465-475 - [c6]Shipeng Zhang, Lizhi Wang, Ying Fu, Hua Huang:
GPU Assisted Towards Real-Time Reconstruction for Dual-Camera Compressive Hyperspectral Imaging. PCM (1) 2018: 711-720 - 2017
- [j1]Lizhi Wang, Zhiwei Xiong, Guangming Shi, Feng Wu, Wenjun Zeng:
Adaptive Nonlocal Sparse Representation for Dual-Camera Compressive Hyperspectral Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 2104-2111 (2017) - [c5]Zhiwei Xiong, Lizhi Wang, Huiqun Li, Dong Liu, Feng Wu:
Snapshot Hyperspectral Light Field Imaging. CVPR 2017: 6873-6881 - [c4]Zhiwei Xiong, Zhan Shi, Huiqun Li, Lizhi Wang, Dong Liu, Feng Wu:
HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections. ICCV Workshops 2017: 518-525 - 2016
- [c3]Dong Liu, Lizhi Wang, Li Li, Zhiwei Xiong, Feng Wu, Wenjun Zeng:
Pseudo-sequence-based light field image compression. ICME Workshops 2016: 1-4 - [c2]Lizhi Wang, Zhiwei Xiong, Guangming Shi, Wenjun Zeng, Feng Wu:
Compressive hyperspectral imaging with complementary RGB measurements. VCIP 2016: 1-4 - 2015
- [c1]Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, Wenjun Zeng, Feng Wu:
High-speed hyperspectral video acquisition with a dual-camera architecture. CVPR 2015: 4942-4950
Coauthor Index
[j23] [j21] [j20] [j18] [c38] [c37] [c36] [c35] [c34] [i23] [i22] [i21] [i20] [j17] [j16] [j15] [j14] [c32] [c31] [c27] [i18] [i17] [i16] [i14] [i13] [i12] [i11] [j12] [c23] [c22] [i10] [i9] [i7] [i4] [j11] [j10] [j9] [c21] [c19] [i3] [j8] [j7] [j6] [c18] [i2] [j5] [c17] [c16] [c15] [c14] [j4] [j3] [c13] [c12] [c11] [c7] [c6]
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