Sparse Autoencoder Based Deep Neural Network for Voxelwise Detection of Cerebral Microbleed. - Yudong Zhang 001; Xiao-Xia Hou; Yi-Ding Lv; Hong Chen; Yin Zhang 002; Shuihua Wang (ICPADS, 2016)

Cerebral Micro-Bleed Detection Based on the Convolution Neural Network With Rank Based Average Pooling. - Shuihua Wang; Yongyan Jiang; Xiaoxia Hou; Hong Cheng; Sidan Du (IEEE Access, 2017)

Alcoholism detection by medical robots based on Hu moment invariants and predator-prey adaptive-inertia chaotic particle swarm optimization. - Yudong Zhang 001; Yin Zhang 002; Yi-Ding Lv; Xiao-Xia Hou; Fang-Yuan Liu; Wen-Juan Jia 001; Meng-Meng Yang; Preetha Phillips; Shuihua Wang (Comput. Electr. Eng., 2017)

Seven-layer deep neural network based on sparse autoencoder for voxelwise detection of cerebral microbleed. - Yudong Zhang 001; Yin Zhang 002; Xiao-Xia Hou; Hong Chen; Shuihua Wang (Multim. Tools Appl., 2018)

Voxelwise detection of cerebral microbleed in CADASIL patients by leaky rectified linear unit and early stopping. - Yudong Zhang 001; Xiao-Xia Hou; Yi Chen 023; Hong Chen; Ming Yang 011; Jiquan Yang; Shuihua Wang (Multim. Tools Appl., 2018)

NTIRE 2022 Challenge on Perceptual Image Quality Assessment. - Jinjin Gu; Haoming Cai; Chao Dong 005; Jimmy S. Ren; Radu Timofte; Yuan Gong 002; Shanshan Lao; Shuwei Shi; Jiahao Wang; Sidi Yang; Tianhe Wu; Weihao Xia 001; et al. (CVPR Workshops, 2022)

MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion. - Jing Wang; Haotian Fan; Xiaoxia Hou; Yitian Xu; Tao Li; Xuechao Lu; Lean Fu (CVPR Workshops, 2022)

Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model. - Lixue Gong; Xiaoxia Hou; Fanshi Li; Liang Li; Xiaochen Lian; Fei Liu; Liyang Liu; Wei Liu; Wei Lu; Yichun Shi; Shiqi Sun; Yu Tian; et al. (CoRR, 2025)

Seedream 3.0 Technical Report. - Yu Gao; Lixue Gong; Qiushan Guo; Xiaoxia Hou; Zhichao Lai; Fanshi Li; Liang Li; Xiaochen Lian; Chao Liao; Liyang Liu; Wei Liu; Yichun Shi; et al. (CoRR, 2025)