Songhua Liu

According to our database, Songhua Liu authored at least 42 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Statistical Model-Based Approach for Reproducing Intermittent Faults in Electrical Connectors under Varying Vibration Loading Conditions.

Xinglong Zhou, Kuntao Ye, Sheng Li, Songhua Liu

J. Circuits Syst. Comput., August, 2024

An Automated Diagnostic Framework for Multiple Oscillations With Median Complementary EEMD.

Songhua Liu, Xun Lang, Yufeng Zhang, Peng Li, Lei Xie, Hongye Su

IEEE Trans. Control. Syst. Technol., May, 2024

Scattering Field Intensity and Orbital Angular Momentum Spectral Distribution of Vortex Electromagnetic Beams Scattered by Electrically Large Targets Comprising Different Materials.

Minghao Sun, Songhua Liu, Lixin Guo

Remote. Sens., March, 2024

Dataset Distillation: A Comprehensive Review.

Ruonan Yu, Songhua Liu, Xinchao Wang

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Enhancing visual communication design education: Integrating AI in collaborative teaching strategies.

Jing Li, Songhua Liu, Jiannan Zheng, Fei He

J. Comput. Methods Sci. Eng., 2024

Video-Infinity: Distributed Long Video Generation.

Zhenxiong Tan, Xingyi Yang, Songhua Liu, Xinchao Wang

CoRR, 2024

Distilled Datamodel with Reverse Gradient Matching.

Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang

CoRR, 2024

MindBridge: A Cross-Subject Brain Decoding Framework.

Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang

CoRR, 2024

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization.

Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mutual-Modality Adversarial Attack with Semantic Perturbation.

Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AI-Based Collaborative Teaching: Strategies and Analysis in Visual Communication Design.

Songhua Liu, Jing Li, Jiannan Zheng

Int. J. Emerg. Technol. Learn., December, 2023

Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate.

Songhua Liu, Jingwen Ye, Xinchao Wang

CoRR, 2023

MGDD: A Meta Generator for Fast Dataset Distillation.

Songhua Liu, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SG-Former: Self-guided Transformer with Evolving Token Reallocation.

Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Few-Shot Dataset Distillation via Translative Pre-Training.

Songhua Liu, Xinchao Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distribution Shift Inversion for Out-of-Distribution Prediction.

Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Partial Network Cloning.

Jingwen Ye, Songhua Liu, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Image Shadow Removal Challenge Report.

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, Li Xianwei, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer.

Hao Tang, Songhua Liu, Tianwei Lin, Shaoli Huang, Fu Li, Dongliang He, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Slimmable Dataset Condensation.

Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Particle Scattering Induced Orbital Angular Momentum Spectrum Change of Vector Bessel-Gaussian Vortex Beam.

Chenge Shi, Mingjian Cheng, Lixin Guo, Martin P. J. Lavery, Ping Wang, Songhua Liu, Renxian Li, Jiangting Li

Remote. Sens., 2022

Deep Model Reassembly.

Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dataset Distillation via Factorization.

Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning with Recoverable Forgetting.

Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation.

Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

Ultrasonic Carotid Blood Flow Velocimetry Based on Deep Complex Neural Network.

Jian Lei, Xun Lang, Bingbing He, Songhua Liu, Hao Tan, Yufeng Zhang

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer.

Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, Errui Ding

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction.

Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Ruifeng Deng, Xin Li, Errui Ding, Hao Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Redundancy reduction based node classification with attribute augmentation.

Songhua Liu, Caiying Ding, Yao Ma, Zepeng Li, Jie Xiang

Knowl. Based Syst., 2020

Risk Minimization Against Transmission Failures of Federated Learning in Mobile Edge Networks.

Yuting Yan, Songhua Liu, Yibo Jin, Zhuzhong Qian, Sheng Zhang, Sanglu Lu

IEEE Access, 2020

Graph-Based Locality-Sensitive Circuit Sketch Recognizer.

Songhua Liu, Linfeng Lee, Fukang Jiu, Guihuan Feng

IEEE Access, 2020

Stable Video Style Transfer Based on Partial Convolution with Depth-Aware Supervision.

Songhua Liu, Hao Wu, Shoutong Luo, Zhengxing Sun

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Auto-weighted Multi-view learning for Semi-Supervised graph clustering.

Songhua Liu, Caiying Ding, Fei Jiang, Yan Wang, Baoyong Yin

Neurocomputing, 2019

2018

A hybrid harmony search algorithm for node localisation in wireless sensor networks.

Zhaolu Guo, Shenwen Wang, Baoyong Yin, Songhua Liu, Xiaosheng Liu

Int. J. Wirel. Mob. Comput., 2018

2017

Gravitational search algorithm with Gaussian mutation strategy.

Zhaolu Guo, Huogen Yang, Songhua Liu, Xiaosheng Liu

Int. J. Wirel. Mob. Comput., 2017

2015

Enhanced social emotional optimisation algorithm with generalised opposition-based learning.

Zhaolu Guo, Xuezhi Yue, Kejun Zhang, Changshou Deng, Songhua Liu

Int. J. Comput. Sci. Math., 2015

2012

Kernel-based Informative Feature Extraction via Gradient Learning.

Songhua Liu, Jiansheng Liu, Caiying Ding, Chaoquan Zhang

J. Comput., 2012

Informative Energy Metric for Similarity Measure in reproducing Kernel Hilbert Spaces.

Songhua Liu, Junying Zhang, Caiying Ding

Int. J. Comput. Intell. Syst., 2012

2010

Learning Low-Rank Kernel Matrices with Column-Based Methods.

Songhua Liu, Junying Zhang, Keguo Sun

Commun. Stat. Simul. Comput., 2010