Learning Low-Rank Kernel Matrices with Column-Based Methods. - Songhua Liu; Junying Zhang; Keguo Sun (Commun. Stat. Simul. Comput., 2010)

Informative Energy Metric for Similarity Measure in reproducing Kernel Hilbert Spaces. - Songhua Liu; Junying Zhang; Caiying Ding (Int. J. Comput. Intell. Syst., 2012)

Kernel-based Informative Feature Extraction via Gradient Learning. - Songhua Liu; Jiansheng Liu; Caiying Ding; Chaoquan Zhang (J. Comput., 2012)

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)

Gravitational search algorithm with Gaussian mutation strategy. - Zhaolu Guo; Huogen Yang; Songhua Liu; Xiaosheng Liu (Int. J. Wirel. Mob. Comput., 2017)

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)

Auto-weighted Multi-view learning for Semi-Supervised graph clustering. - Songhua Liu; Caiying Ding; Fei Jiang; Yan Wang; Baoyong Yin (Neurocomputing, 2019)

Stable Video Style Transfer Based on Partial Convolution with Depth-Aware Supervision. - Songhua Liu; Hao Wu; Shoutong Luo; Zhengxing Sun (ACM Multimedia, 2020)

Graph-Based Locality-Sensitive Circuit Sketch Recognizer. - Songhua Liu; Linfeng Lee; Fukang Jiu; Guihuan Feng (IEEE Access, 2020)

Risk Minimization Against Transmission Failures of Federated Learning in Mobile Edge Networks. - Yuting Yan; Songhua Liu; Yibo Jin 001; Zhuzhong Qian; Sheng Zhang 001; Sanglu Lu (IEEE Access, 2020)

Redundancy reduction based node classification with attribute augmentation. - Songhua Liu; Caiying Ding; Yao Ma; Zepeng Li; Jie Xiang 002 (Knowl. Based Syst., 2020)

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction. - Songhua Liu; Tianwei Lin; Dongliang He; Fu Li 003; Ruifeng Deng; Xin Li 106; Errui Ding; Hao Wang 014 (ICCV, 2021)

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer. - Songhua Liu; Tianwei Lin; Dongliang He; Fu Li 003; Meiling Wang; Xin Li 106; Zhengxing Sun; Qian Li 014; Errui Ding (ICCV, 2021)

Ultrasonic Carotid Blood Flow Velocimetry Based on Deep Complex Neural Network. - Jian Lei; Xun Lang; Bingbing He; Songhua Liu; Hao Tan; Yufeng Zhang 002 (CBMS, 2022)

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. - Songhua Liu; Jingwen Ye; Sucheng Ren; Xinchao Wang (ECCV (16), 2022)

Learning with Recoverable Forgetting. - Jingwen Ye; Yifang Fu; Jie Song 011; Xingyi Yang; Songhua Liu; Xin Jin; Mingli Song; Xinchao Wang (ECCV (11), 2022)

Dataset Distillation via Factorization. - Songhua Liu; Kai Wang 036; Xingyi Yang; Jingwen Ye; Xinchao Wang (NeurIPS, 2022)

Deep Model Reassembly. - Xingyi Yang; Daquan Zhou; Songhua Liu; Jingwen Ye; Xinchao Wang (NeurIPS, 2022)

Particle Scattering Induced Orbital Angular Momentum Spectrum Change of Vector Bessel-Gaussian Vortex Beam. - Chenge Shi; Mingjian Cheng; Lixin Guo 001; Martin P. J. Lavery; Ping Wang 021; Songhua Liu; Renxian Li; Jiangting Li (Remote. Sens., 2022)

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Han Zhou 003; Wei Dong 010; Yangyi Liu; Jun Chen 005; Huan Liu 014; Liangyan Li; Zijun Wu; Yubo Dong; et al. (CVPR Workshops, 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 005; Juewen Peng; Zhiyu Pan; Chengxin Liu; et al. (CVPR Workshops, 2023)

Slimmable Dataset Condensation. - Songhua Liu; Jingwen Ye; Runpeng Yu; Xinchao Wang (CVPR, 2023)

Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer. - Hao Tang 005; Songhua Liu; Tianwei Lin; Shaoli Huang; Fu Li 003; Dongliang He; Xinchao Wang (CVPR, 2023)

NTIRE 2023 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Radu Timofte; Shuhao Cui; Junshi Huang; Shuman Tian; Mingyuan Fan 002; Jiaqi Zhang; Li Zhu 003; Xiaoming Wei; Xiaolin Wei; Ziwei Luo; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Ming Cheng 002; Haoyu Ma; Qiufang Ma; Xiaopeng Sun; Shijie Zhao 001; Xuhan Sheng; et al. (CVPR Workshops, 2023)

Partial Network Cloning. - Jingwen Ye; Songhua Liu; Xinchao Wang (CVPR, 2023)

Distribution Shift Inversion for Out-of-Distribution Prediction. - Runpeng Yu; Songhua Liu; Xingyi Yang; Xinchao Wang (CVPR, 2023)

Few-Shot Dataset Distillation via Translative Pre-Training. - Songhua Liu; Xinchao Wang (ICCV, 2023)

SG-Former: Self-guided Transformer with Evolving Token Reallocation. - Sucheng Ren; Xingyi Yang; Songhua Liu; Xinchao Wang (ICCV, 2023)

MGDD: A Meta Generator for Fast Dataset Distillation. - Songhua Liu; Xinchao Wang (NeurIPS, 2023)

Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate. - Songhua Liu; Jingwen Ye; Xinchao Wang (CoRR, 2023)

AI-Based Collaborative Teaching: Strategies and Analysis in Visual Communication Design. - Songhua Liu; Jing Li; Jiannan Zheng (Int. J. Emerg. Technol. Learn., 2023)

Mutual-Modality Adversarial Attack with Semantic Perturbation. - Jingwen Ye; Ruonan Yu; Songhua Liu; Xinchao Wang (AAAI, 2024)

MindBridge: A Cross-Subject Brain Decoding Framework. - Shizun Wang; Songhua Liu; Zhenxiong Tan; Xinchao Wang (CVPR, 2024)

Distilled Datamodel with Reverse Gradient Matching. - Jingwen Ye; Ruonan Yu; Songhua Liu; Xinchao Wang (CVPR, 2024)

Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching. - Ruonan Yu; Songhua Liu; Jingwen Ye; Xinchao Wang (ECCV (46), 2024)

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. - Songhua Liu; Xin Jin; Xingyi Yang; Jingwen Ye; Xinchao Wang (ICML, 2024)

One-shot Federated Learning via Synthetic Distiller-Distillate Communication. - Junyuan Zhang; Songhua Liu; Xinchao Wang (NeurIPS, 2024)

Video-Infinity: Distributed Long Video Generation. - Zhenxiong Tan; Xingyi Yang; Songhua Liu; Xinchao Wang (CoRR, 2024)

Heavy Labels Out! Dataset Distillation with Label Space Lightening. - Ruonan Yu; Songhua Liu; Zigeng Chen; Jingwen Ye; Xinchao Wang (CoRR, 2024)

LinFusion: 1 GPU, 1 Minute, 16K Image. - Songhua Liu; Weihao Yu 001; Zhenxiong Tan; Xinchao Wang (CoRR, 2024)

OminiControl: Minimal and Universal Control for Diffusion Transformer. - Zhenxiong Tan; Songhua Liu; Xingyi Yang; Qiaochu Xue; Xinchao Wang (CoRR, 2024)

CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up. - Songhua Liu; Zhenxiong Tan; Xinchao Wang (CoRR, 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)

Dataset Distillation: A Comprehensive Review. - Ruonan Yu; Songhua Liu; Xinchao Wang (IEEE Trans. Pattern Anal. Mach. Intell., 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., 2024)

An Automated Diagnostic Framework for Multiple Oscillations With Median Complementary EEMD. - Songhua Liu; Xun Lang; Yufeng Zhang 002; Peng Li 039; Lei Xie 007; Hongye Su (IEEE Trans. Control. Syst. Technol., 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., 2024)

Open-World Authorship Attribution. - Xinhao Tan; Songhua Liu; Xia Cong; Kunjun Li; Xinchao Wang (ACL (Findings), 2025)

POSTA: A Go-to Framework for Customized Artistic Poster Generation. - Haoyu Chen 003; Xiaojie Xu; Wenbo Li 002; Jingjing Ren; Tian Ye 001; Songhua Liu; Ying-Cong Chen; Lei Zhu 003; Xinchao Wang (CVPR, 2025)

Diffusion Model is Effectively Its Own Teacher. - Xinyin Ma; Runpeng Yu; Songhua Liu; Gongfan Fang; Xinchao Wang (CVPR, 2025)

Hash3D: Training-free Acceleration for 3D Generation. - Xingyi Yang; Songhua Liu; Xinchao Wang (CVPR, 2025)

Selective Noise Empirical Mode Decomposition. - Songhua Liu; Xun Lang; Jiande Wu; Naveed ur Rehman (IEEE Signal Process. Lett., 2025)

Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images. - Lingao Xiao; Songhua Liu; Yang He; Xinchao Wang (CoRR, 2025)

Understanding Dataset Distillation via Spectral Filtering. - Deyu Bo; Songhua Liu; Xinchao Wang (CoRR, 2025)

OminiControl2: Efficient Conditioning for Diffusion Transformers. - Zhenxiong Tan; Qiaochu Xue; Xingyi Yang; Songhua Liu; Xinchao Wang (CoRR, 2025)

Ultra-Resolution Adaptation with Ease. - Ruonan Yu; Songhua Liu; Zhenxiong Tan; Xinchao Wang (CoRR, 2025)

Flash Sculptor: Modular 3D Worlds from Objects. - Yujia Hu; Songhua Liu; Xingyi Yang; Xinchao Wang (CoRR, 2025)

Top-Down Compression: Revisit Efficient Vision Token Projection for Visual Instruction Tuning. - Bonan li; Zicheng Zhang; Songhua Liu; Weihao Yu 001; Xinchao Wang (CoRR, 2025)

Image Editing As Programs with Diffusion Models. - Yujia Hu; Songhua Liu; Zhenxiong Tan; Xingyi Yang; Xinchao Wang (CoRR, 2025)

SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping. - Jiajun Li; Yue Ma; Xinyu Zhang; Qingyan Wei; Songhua Liu; Linfeng Zhang (CoRR, 2025)

Control and Realism: Best of Both Worlds in Layout-to-Image without Training. - Bonan Li; Yinhan Hu; Songhua Liu; Xinchao Wang (CoRR, 2025)