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ORCIDSonghua Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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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, Sheng Li, Songhua Liu:
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, Songhua Liu, Xinchao Wang:
Dataset Distillation: A Comprehensive Review. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 150-170 (2024) - [j14]Minghao Sun, Songhua Liu, Lixin Guo:
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, Xun Lang, Yufeng Zhang, Peng Li, Lei Xie, Hongye Su:
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, Songhua Liu, Jingwen Ye, Xinchao Wang:
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 - [i20]Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang:
MindBridge: A Cross-Subject Brain Decoding Framework. CoRR abs/2404.07850 (2024) - [i19]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Distilled Datamodel with Reverse Gradient Matching. CoRR abs/2404.14006 (2024) - [i18]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) - [i17]Zhenxiong Tan, Xingyi Yang, Songhua Liu, Xinchao Wang:
Video-Infinity: Distributed Long Video Generation. CoRR abs/2406.16260 (2024) - [i16]Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang:
Heavy Labels Out! Dataset Distillation with Label Space Lightening. CoRR abs/2408.08201 (2024) - [i15]Songhua Liu, Weihao Yu, Zhenxiong Tan, Xinchao Wang:
LinFusion: 1 GPU, 1 Minute, 16K Image. CoRR abs/2409.02097 (2024) - [i14]Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang:
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching. CoRR abs/2410.07579 (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, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang:
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, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu:
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops 2023: 1643-1659 - [c17]Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia:
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 2023: 1788-1807 - [c16]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2023: 1808-1825 - [c15]Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang:
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, 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. CVPR 2023: 18329-18338 - [c12]Jingwen Ye, Songhua Liu, Xinchao Wang:
Partial Network Cloning. CVPR 2023: 20137-20146 - [c11]Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang:
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, Xinchao Wang:
Dataset Distillation: A Comprehensive Review. CoRR abs/2301.07014 (2023) - [i12]Jingwen Ye, Songhua Liu, Xinchao Wang:
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, Songhua Liu, Renxian Li, Jiangting Li:
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, Hao Tan, Yufeng Zhang:
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, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang:
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, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang:
Learning with Recoverable Forgetting. CoRR abs/2207.08224 (2022) - [i4]Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang:
Dataset Distillation via Factorization. CoRR abs/2210.16774 (2022) - [i3]Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang:
Deep Model Reassembly. CoRR abs/2210.17409 (2022) - 2021
- [c3]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. ICCV 2021: 6578-6587 - [c2]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. 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, Songhua Liu, Yibo Jin, Zhuzhong Qian, Sheng Zhang, Sanglu Lu:
Risk Minimization Against Transmission Failures of Federated Learning in Mobile Edge Networks. IEEE Access 8: 98205-98217 (2020) - [j9]Songhua Liu, Linfeng Lee, Fukang Jiu, Guihuan Feng:
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, Hao Wu, Shoutong Luo, Zhengxing Sun:
Stable Video Style Transfer Based on Partial Convolution with Depth-Aware Supervision. ACM Multimedia 2020: 2445-2453
2010 – 2019
- 2019
- [j7]Songhua Liu, Caiying Ding, Fei Jiang, Yan Wang, Baoyong Yin:
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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