Coherence functions with applications in large-margin classification methods. - Zhihua Zhang 004; Dehua Liu; Guang Dai; Michael I. Jordan (J. Mach. Learn. Res., 2012)

EP-GIG Priors and Applications in Bayesian Sparse Learning. - Zhihua Zhang 004; Shusen Wang; Dehua Liu; Michael I. Jordan (J. Mach. Learn. Res., 2012)

Large-Scale Hierarchical Classification via Stochastic Perceptron. - Dehua Liu; Bojun Tu; Hui Qian 001; Zhihua Zhang 008 (AAAI, 2013)

Nonconvex Relaxation Approaches to Robust Matrix Recovery. - Shusen Wang; Dehua Liu; Zhihua Zhang 008 (IJCAI, 2013)

A Nearly Unbiased Matrix Completion Approach. - Dehua Liu; Tengfei Zhou; Hui Qian 001; Congfu Xu; Zhihua Zhang 008 (ECML/PKDD (2), 2013)

An iterative SVM approach to feature selection and classification in high-dimensional datasets. - Dehua Liu; Hui Qian 001; Guang Dai; Zhihua Zhang 008 (Pattern Recognit., 2013)

An efficient online active learning algorithm for binary classification. - Dehua Liu; Peng Zhang 011; Qinghua Zheng (Pattern Recognit. Lett., 2015)

Lung segmentation in chest X-ray image using multi-interaction feature fusion network. - Xuebin Xu; Meng Lei; Dehua Liu; Muyu Wang; Longbin Lu (IET Image Process., 2023)

Location First Non-Maximum Suppression for Uncovered Muck Truck Detection. - Yuxiang Zhang; Dehua Liu; Chuanpeng Su; Juncheng Liu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

TransCotANet: A Lung Field Image Segmentation Network with Multidimensional Global Feature Dynamic Aggregation. - Xuebin Xu; Muyu Wang; Dehua Liu; Meng Lei; Jun Fu; Yang Jia (Symmetry, 2023)

MobileIQA: Exploiting Mobile-Level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation. - Zewen Chen; Sunhan Xu; Yun Zeng; Haochen Guo; Jian Guo; Shuai Liu 009; Juan Wang 012; Bing Li 001; Weiming Hu; Dehua Liu; Hesong Li (ECCV Workshops (10), 2024)

AIM 2024 Challenge on UHD Blind Photo Quality Assessment. - Vlad Hosu; Marcos V. Conde; Lorenzo Agnolucci; Nabajeet Barman; Saman Zadtootaghaj; Radu Timofte; Wei Sun 029; Weixia Zhang; Yuqin Cao; Linhan Cao; Jun Jia; Zijian Chen 001; et al. (ECCV Workshops (10), 2024)

Computer aided diagnosis of diabetic retinopathy based on multi-view joint learning. - Xuebin Xu; Dehua Liu; Guohua Huang; Muyu Wang; Meng Lei; Yang Jia (Comput. Biol. Medicine, 2024)

An efficient approach for discovering Graph Entity Dependencies (GEDs). - Dehua Liu; Selasi Kwashie; Yidi Zhang; Guangtong Zhou; Michael Bewong; Xiaoying Wu; Xi Guo; Keqing He 002; Zaiwen Feng (Inf. Syst., 2024)

Balancing Electric Scooter Battery Swapping Network by Spatio-Temporal Recommendation. - Enyi Zhou; Zhenghan Li; Dehua Liu; Chaocan Xiang; Jiayi Chen; Wenhui Cheng (IEEE Trans. Intell. Transp. Syst., 2024)

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment. - Shuhao Han; Haotian Fan; Fangyuan Kong; Wenjie Liao; Chunle Guo; Chongyi Li; Radu Timofte; Liang Li; Tao Li; Junhui Cui; Yunqiu Wang; Yang Tai; et al. (CVPR Workshops, 2025)

Breaking 'Chicken-Egg': Cross-city Battery Swap Demand Prediction via Knowledge-guided Diffusion. - Wenhui Cheng; Han Lu; Chaocan Xiang; Dehua Liu; Tao Xiang 001 (INFOCOM, 2025)

A Multi-aspect Multi-granularity Pronunciation Assessment Method Based on Branchformer Encoder and Hierarchical Aggregation. - Wenxu Du; Aishan Wumaier; Yahui Shi; Nian Yi; Dehua Liu (MMM (1), 2025)