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Songhua Liu
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2020 – today
- 2024
- [j17]Jing Li, Songhua Liu, Jiannan Zheng, Fei He:
Enhancing visual communication design education: Integrating AI in collaborative teaching strategies. J. Comput. Methods Sci. Eng. 24(4-5): 2469-2483 (2024) - [j16]Xinglong Zhou
, Kuntao Ye
A Statistical Model-Based Approach for Reproducing Intermittent Faults in Electrical Connectors under Varying Vibration Loading Conditions. J. Circuits Syst. Comput. 33(12): 2450210:1-2450210:26 (2024) - [j15]Ruonan Yu
Dataset Distillation: A Comprehensive Review. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 150-170 (2024) - [j14]Minghao Sun
Scattering Field Intensity and Orbital Angular Momentum Spectral Distribution of Vortex Electromagnetic Beams Scattered by Electrically Large Targets Comprising Different Materials. Remote. Sens. 16(5): 754 (2024) - [j13]Songhua Liu
An Automated Diagnostic Framework for Multiple Oscillations With Median Complementary EEMD. IEEE Trans. Control. Syst. Technol. 32(3): 919-933 (2024) - [c24]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Mutual-Modality Adversarial Attack with Semantic Perturbation. AAAI 2024: 6657-6665 - [c23]Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang:
MindBridge: A Cross-Subject Brain Decoding Framework. CVPR 2024: 11333-11342 - [c22]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Distilled Datamodel with Reverse Gradient Matching. CVPR 2024: 11954-11963 - [c21]Ruonan Yu
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching. ECCV (46) 2024: 1-17 - [c20]Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang:
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. ICML 2024 - [i19]Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang:
MindBridge: A Cross-Subject Brain Decoding Framework. CoRR abs/2404.07850 (2024) - [i18]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Distilled Datamodel with Reverse Gradient Matching. CoRR abs/2404.14006 (2024) - [i17]Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang:
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. CoRR abs/2406.00275 (2024) - [i16]Zhenxiong Tan, Xingyi Yang, Songhua Liu, Xinchao Wang:
Video-Infinity: Distributed Long Video Generation. CoRR abs/2406.16260 (2024) - [i15]Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang:
Heavy Labels Out! Dataset Distillation with Label Space Lightening. CoRR abs/2408.08201 (2024) - [i14]Songhua Liu, Weihao Yu, Zhenxiong Tan, Xinchao Wang:
LinFusion: 1 GPU, 1 Minute, 16K Image. CoRR abs/2409.02097 (2024) - 2023
- [j12]Songhua Liu, Jing Li, Jiannan Zheng:
AI-Based Collaborative Teaching: Strategies and Analysis in Visual Communication Design. Int. J. Emerg. Technol. Learn. 18(23): 182-196 (2023) - [c19]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372 - [c18]Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops 2023: 1643-1659 - [c17]Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 2023: 1788-1807 - [c16]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2023: 1808-1825 - [c15]Runpeng Yu, Songhua Liu, Xingyi Yang
Distribution Shift Inversion for Out-of-Distribution Prediction. CVPR 2023: 3592-3602 - [c14]Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang:
Slimmable Dataset Condensation. CVPR 2023: 3759-3768 - [c13]Hao Tang
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer. CVPR 2023: 18329-18338 - [c12]Jingwen Ye, Songhua Liu, Xinchao Wang:
Partial Network Cloning. CVPR 2023: 20137-20146 - [c11]Sucheng Ren, Xingyi Yang
SG-Former: Self-guided Transformer with Evolving Token Reallocation. ICCV 2023: 5980-5991 - [c10]Songhua Liu, Xinchao Wang:
Few-Shot Dataset Distillation via Translative Pre-Training. ICCV 2023: 18608-18618 - [c9]Songhua Liu, Xinchao Wang:
MGDD: A Meta Generator for Fast Dataset Distillation. NeurIPS 2023 - [i13]Ruonan Yu, Songhua Liu
Dataset Distillation: A Comprehensive Review. CoRR abs/2301.07014 (2023) - [i12]Jingwen Ye, Songhua Liu
Partial Network Cloning. CoRR abs/2303.10597 (2023) - [i11]Songhua Liu, Jingwen Ye, Xinchao Wang:
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate. CoRR abs/2304.09728 (2023) - [i10]Hao Tang, Songhua Liu, Tianwei Lin, Shaoli Huang, Fu Li, Dongliang He, Xinchao Wang:
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer. CoRR abs/2304.11818 (2023) - [i9]Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang:
Distribution Shift Inversion for Out-of-Distribution Prediction. CoRR abs/2306.08328 (2023) - [i8]Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang:
SG-Former: Self-guided Transformer with Evolving Token Reallocation. CoRR abs/2308.12216 (2023) - [i7]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Mutual-modality Adversarial Attack with Semantic Perturbation. CoRR abs/2312.12768 (2023) - 2022
- [j11]Chenge Shi, Mingjian Cheng, Lixin Guo, Martin P. J. Lavery, Ping Wang
Particle Scattering Induced Orbital Angular Momentum Spectrum Change of Vector Bessel-Gaussian Vortex Beam. Remote. Sens. 14(18): 4550 (2022) - [c8]Jian Lei, Xun Lang, Bingbing He, Songhua Liu
Ultrasonic Carotid Blood Flow Velocimetry Based on Deep Complex Neural Network. CBMS 2022: 143-148 - [c7]Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. ECCV (16) 2022: 72-90 - [c6]Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang
Learning with Recoverable Forgetting. ECCV (11) 2022: 87-103 - [c5]Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang:
Dataset Distillation via Factorization. NeurIPS 2022 - [c4]Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang:
Deep Model Reassembly. NeurIPS 2022 - [i6]Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. CoRR abs/2207.06124 (2022) - [i5]Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang
Learning with Recoverable Forgetting. CoRR abs/2207.08224 (2022) - [i4]Songhua Liu, Kai Wang, Xingyi Yang
Dataset Distillation via Factorization. CoRR abs/2210.16774 (2022) - [i3]Xingyi Yang
Deep Model Reassembly. CoRR abs/2210.17409 (2022) - 2021
- [c3]Songhua Liu
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction. ICCV 2021: 6578-6587 - [c2]Songhua Liu
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer. ICCV 2021: 6629-6638 - [i2]Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, Errui Ding:
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer. CoRR abs/2108.03647 (2021) - [i1]Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Ruifeng Deng, Xin Li, Errui Ding, Hao Wang:
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction. CoRR abs/2108.03798 (2021) - 2020
- [j10]Yuting Yan
Risk Minimization Against Transmission Failures of Federated Learning in Mobile Edge Networks. IEEE Access 8: 98205-98217 (2020) - [j9]Songhua Liu
Graph-Based Locality-Sensitive Circuit Sketch Recognizer. IEEE Access 8: 204183-204193 (2020) - [j8]Songhua Liu, Caiying Ding, Yao Ma, Zepeng Li, Jie Xiang:
Redundancy reduction based node classification with attribute augmentation. Knowl. Based Syst. 188 (2020) - [c1]Songhua Liu
Stable Video Style Transfer Based on Partial Convolution with Depth-Aware Supervision. ACM Multimedia 2020: 2445-2453
2010 – 2019
- 2019
- [j7]Songhua Liu
Auto-weighted Multi-view learning for Semi-Supervised graph clustering. Neurocomputing 362: 19-32 (2019) - 2018
- [j6]Zhaolu Guo, Shenwen Wang, Baoyong Yin, Songhua Liu, Xiaosheng Liu:
A hybrid harmony search algorithm for node localisation in wireless sensor networks. Int. J. Wirel. Mob. Comput. 14(4): 369-377 (2018) - 2017
- [j5]Zhaolu Guo, Huogen Yang, Songhua Liu, Xiaosheng Liu:
Gravitational search algorithm with Gaussian mutation strategy. Int. J. Wirel. Mob. Comput. 12(2): 191-197 (2017) - 2015
- [j4]Zhaolu Guo, Xuezhi Yue, Kejun Zhang, Changshou Deng, Songhua Liu:
Enhanced social emotional optimisation algorithm with generalised opposition-based learning. Int. J. Comput. Sci. Math. 6(1): 59-68 (2015) - 2012
- [j3]Songhua Liu, Junying Zhang, Caiying Ding:
Informative Energy Metric for Similarity Measure in reproducing Kernel Hilbert Spaces. Int. J. Comput. Intell. Syst. 5(1): 197-208 (2012) - [j2]Songhua Liu, Jiansheng Liu, Caiying Ding, Chaoquan Zhang:
Kernel-based Informative Feature Extraction via Gradient Learning. J. Comput. 7(11): 2813-2820 (2012) - 2010
- [j1]Songhua Liu, Junying Zhang, Keguo Sun:
Learning Low-Rank Kernel Matrices with Column-Based Methods. Commun. Stat. Simul. Comput. 39(7): 1485-1498 (2010)
Coauthor Index
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last updated on 2024-11-07 20:29 CET by the dblp team
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