Songhua Liu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 48

Top Topics

Harmony Search Algorithm

Primate Visual Cortex

Top Venues

Publications

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) (2024)
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
Distilled Datamodel with Reverse Gradient Matching. CoRR (2024)
Zhenxiong Tan, Xingyi Yang, Songhua Liu, Xinchao Wang
Video-Infinity: Distributed Long Video Generation. CoRR (2024)
Ruonan Yu, Songhua Liu, Xinchao Wang
Dataset Distillation: A Comprehensive Review. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
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) (2024)
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
Mutual-Modality Adversarial Attack with Semantic Perturbation. AAAI (2024)
Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang
MindBridge: A Cross-Subject Brain Decoding Framework. CoRR (2024)
Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. CoRR (2024)
Songhua Liu, Jingwen Ye, Xinchao Wang
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate. CoRR (2023)
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
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops (2023)
Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang
SG-Former: Self-guided Transformer with Evolving Token Reallocation. ICCV (2023)
Jingwen Ye, Songhua Liu, Xinchao Wang
Partial Network Cloning. CVPR (2023)
Songhua Liu, Xinchao Wang
Few-Shot Dataset Distillation via Translative Pre-Training. ICCV (2023)
Songhua Liu, Jing Li, Jiannan Zheng
AI-Based Collaborative Teaching: Strategies and Analysis in Visual Communication Design. Int. J. Emerg. Technol. Learn. 18 (23) (2023)
Songhua Liu, Xinchao Wang
MGDD: A Meta Generator for Fast Dataset Distillation. NeurIPS (2023)
Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang
Slimmable Dataset Condensation. CVPR (2023)
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)
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)
Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang
Distribution Shift Inversion for Out-of-Distribution Prediction. CVPR (2023)
Jingwen Ye, Songhua Liu, Xinchao Wang
Partial Network Cloning. CoRR (2023)
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
Mutual-modality Adversarial Attack with Semantic Perturbation. CoRR (2023)
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)
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)
Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang
Distribution Shift Inversion for Out-of-Distribution Prediction. CoRR (2023)
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 (2023)
Ruonan Yu, Songhua Liu, Xinchao Wang
Dataset Distillation: A Comprehensive Review. CoRR (2023)
Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang
SG-Former: Self-guided Transformer with Evolving Token Reallocation. CoRR (2023)
Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. CoRR (2022)
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
Deep Model Reassembly. NeurIPS (2022)
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
Dataset Distillation via Factorization. NeurIPS (2022)
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) (2022)
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)
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
Dataset Distillation via Factorization. CoRR (2022)
Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
Learning with Recoverable Forgetting. ECCV (11) (2022)
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
Deep Model Reassembly. CoRR (2022)
Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. ECCV (16) (2022)
Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
Learning with Recoverable Forgetting. CoRR (2022)
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)
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 (2021)
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)
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 (2021)
Songhua Liu, Caiying Ding, Yao Ma, Zepeng Li, Jie Xiang
Redundancy reduction based node classification with attribute augmentation. Knowl. Based Syst. 188 (2020)
Songhua Liu, Hao Wu, Shoutong Luo, Zhengxing Sun
Stable Video Style Transfer Based on Partial Convolution with Depth-Aware Supervision. ACM Multimedia (2020)
Songhua Liu, Linfeng Lee, Fukang Jiu, Guihuan Feng
Graph-Based Locality-Sensitive Circuit Sketch Recognizer. IEEE Access 8 (2020)
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 (2020)
Songhua Liu, Caiying Ding, Fei Jiang, Yan Wang, Baoyong Yin
Auto-weighted Multi-view learning for Semi-Supervised graph clustering. Neurocomputing 362 (2019)
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) (2018)
Zhaolu Guo, Huogen Yang, Songhua Liu, Xiaosheng Liu
Gravitational search algorithm with Gaussian mutation strategy. Int. J. Wirel. Mob. Comput. 12 (2) (2017)
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) (2015)
Songhua Liu, Junying Zhang, Caiying Ding
Informative Energy Metric for Similarity Measure in reproducing Kernel Hilbert Spaces. Int. J. Comput. Intell. Syst. 5 (1) (2012)
Songhua Liu, Jiansheng Liu, Caiying Ding, Chaoquan Zhang
Kernel-based Informative Feature Extraction via Gradient Learning. J. Comput. 7 (11) (2012)
Songhua Liu, Junying Zhang, Keguo Sun
Learning Low-Rank Kernel Matrices with Column-Based Methods. Commun. Stat. Simul. Comput. 39 (7) (2010)