Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets. - Junyu Luo 001; Yong Xu; Chenwei Tang; Jiancheng Lv 001 (ICONIP (2), 2017)

Classification of Calligraphy Style Based on Convolutional Neural Network. - Fengrui Dai; Chenwei Tang; Jiancheng Lv 001 (ICONIP (4), 2018)

Multi-view Image Generation by Cycle CVAE-GAN Networks. - Zhichen Lai 001; Chenwei Tang; Jiancheng Lv 001 (ICONIP (1), 2019)

Aesthetic assessment of paintings based on visual balance. - Mao Li 001; Jiancheng Lv 001; Chenwei Tang (IET Image Process., 2019)

Exaggerated portrait caricatures synthesis. - Chenwei Tang; Kun Xu; Zhenan He 001; Jiancheng Lv 001 (Inf. Sci., 2019)

An angle-based method for measuring the semantic similarity between visual and textual features. - Chenwei Tang; Jiancheng Lv 001; Yao Chen; Jixiang Guo (Soft Comput., 2019)

SAN: Sampling Adversarial Networks for Zero-Shot Learning. - Chenwei Tang; Yangzhu Kuang; Jiancheng Lv 001; Jinglu Hu (ICONIP (2), 2020)

Arbitrary Chinese Font Generation from a Single Reference. - Zhichen Lai 001; Chenwei Tang; Jiancheng Lv 001 (IJCNN, 2020)

Zero-shot learning by mutual information estimation and maximization. - Chenwei Tang; Xue Yang; Jiancheng Lv 001; Zhenan He 001 (Knowl. Based Syst., 2020)

Multimodal image-to-image translation between domains with high internal variability. - Jian Wang 124; Jiancheng Lv 001; Xue Yang; Chenwei Tang; Xi Peng 001 (Soft Comput., 2020)

End-to-End Edge Detection via Improved Transformer Model. - Yi Gao; Chenwei Tang; Jiulin Lang; Jiancheng Lv 001 (ICONIP (4), 2021)

Knowledge Distillation Method for Surface Defect Detection. - Jiulin Lang; Chenwei Tang; Yi Gao; Jiancheng Lv 001 (ICONIP (4), 2021)

Multi-style Chinese art painting generation of flowers. - Feifei Fu; Jiancheng Lv 001; Chenwei Tang; Mao Li 001 (IET Image Process., 2021)

Cataract detection based on ocular B-ultrasound images by collaborative monitoring deep learning. - Yong Wang; Chenwei Tang; Jian Wang 124; Yongsheng Sang; Jiancheng Lv 001 (Knowl. Based Syst., 2021)

Combination of certainty and uncertainty: Using FusionGAN to create abstract paintings. - Mao Li 001; Jiancheng Lv 001; Chenwei Tang; Jian Wang 124; Zhichen Lai 001; Youcheng Huang (Neural Networks, 2021)

Deep learning in nuclear industry: A survey. - Chenwei Tang; Caiyang Yu; Yi Gao; Jianming Chen; Jiaming Yang; Jiulin Lang; Chuan Liu; Ling Zhong; Zhenan He 001; Jiancheng Lv 001 (Big Data Min. Anal., 2022)

Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning. - Yi Gao; Chenwei Tang; Jiancheng Lv 001 (CoRR, 2022)

Partial Differential Equations Meet Deep Neural Networks: A Survey. - Shudong Huang; Wentao Feng; Chenwei Tang; Jiancheng Lv 001 (CoRR, 2022)

Zero-Shot Learning via Structure-Aligned Generative Adversarial Network. - Chenwei Tang; Zhenan He 001; Yunxia Li; Jiancheng Lv 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Graph-level Anomaly Detection via Deep Metric Learning. - Lin Yu; Chenwei Tang; Caiyu Yang; Jiancheng Lv 001 (ACAI, 2023)

GWQ: Group-Wise Quantization Framework for Neural Networks. - Jiaming Yang; Chenwei Tang; Caiyang Yu; Jiancheng Lv 001 (ACML, 2023)

ST-CA YOLOv5: Improved YOLOv5 Based on Swin Transformer and Coordinate Attention for Surface Defect Detection. - Wen Yang; Hongjie Wu; Chenwei Tang; Jiancheng Lv 001 (IJCNN, 2023)

GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model. - Caiyang Yu; Xianggen Liu; Wentao Feng; Chenwei Tang; Jiancheng Lv 001 (CoRR, 2023)

Attribute Localization and Revision Network for Zero-Shot Learning. - Junzhe Xu 002; Suling Duan; Chenwei Tang; Zhenan He 001; Jiancheng Lv 001 (CoRR, 2023)

VCL Challenges 2023 at ICCV 2023 Technical Report: Bi-level Adaptation Method for Test-time Adaptive Object Detection. - Chenyu Lin; Yusheng He; Zhengqing Zang; Chenwei Tang; Tao Wang 053; Jiancheng Lv 001 (CoRR, 2023)

Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation. - Chenwei Tang; Wenqiang Zhou; Dong Wang; Caiyang Yu; Zhenan He 001; Jizhe Zhou; Shudong Huang; Yi Gao; Jianming Chen; Wentao Feng; Jiancheng Lv 001 (CoRR, 2023)

Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma. - Hongkai Zhuang; Zedan Zhang; Bo Chen; Chenwei Tang; Xinming Chen; Wenliang Tan; Lei Yang; Zhiqin Xie; Xiaowu Ma; Qingbin Wang; Bingkun Wang; Changzhen Shang; et al. (J. Big Data, 2023)

Open-Set Classification for Signal Diagnosis of Machinery Sensor in Industrial Environment. - Jianming Chen; Guangjin Wang; Jiancheng Lv 001; Zhenan He 001; Taibo Yang; Chenwei Tang (IEEE Trans. Ind. Informatics, 2023)

Pure graph-guided multi-view subspace clustering. - Hongjie Wu; Shudong Huang; Chenwei Tang; Yancheng Zhang; Jiancheng Lv 001 (Pattern Recognit., 2023)

EU-Net: Automatic U-Net neural architecture search with differential evolutionary algorithm for medical image segmentation. - Caiyang Yu; Yixi Wang; Chenwei Tang; Wentao Feng; Jiancheng Lv 001 (Comput. Biol. Medicine, 2023)

Smooth representation learning from multi-view data. - Shudong Huang; Yixi Liu; Hecheng Cai; Yuze Tan; Chenwei Tang; Jiancheng Lv 001 (Inf. Fusion, 2023)

Zero-Shot Aerial Object Detection with Visual Description Regularization. - Zhengqing Zang; Chenyu Lin; Chenwei Tang; Tao Wang 053; Jiancheng Lv 001 (AAAI, 2024)

BOB-YOLO: Balancing Optimization Binarized YOLO via Module-Wise Latency. - Xinyu Liu 028; Wenqiang Zhou; Zhendong Yu; Jiaming Yang; Tao Wang 053; Chenwei Tang; Jiancheng Lv 001 (ECAI, 2024)

Attention-based early warning framework for abnormal operating conditions in fluid catalytic cracking units. - Chenwei Tang; Jialiang Huang; Mao Xu; Xu Liu; Fan Yang; Wentao Feng; Zhenan He 001; Jiancheng Lv 001 (Appl. Soft Comput., 2024)

Weighted parallel decoupled feature pyramid network for object detection. - Bo Han 004; Lihuo He; Junjie Ke; Chenwei Tang; Xinbo Gao 001 (Neurocomputing, 2024)

Improving generalized zero-shot learning via cluster-based semantic disentangling representation. - Yi Gao; Wentao Feng; Rong Xiao 001; Lihuo He; Zhenan He 001; Jiancheng Lv 001; Chenwei Tang (Pattern Recognit., 2024)

Self-supervised Domain Adaptation with Significance-Oriented Masking for Pelvic Organ Prolapse detection. - Shichang Li; Hongjie Wu; Chenwei Tang; Dongdong Chen 004; Yueyue Chen; Ling Mei; Fan Yang; Jiancheng Lv 001 (Pattern Recognit. Lett., 2024)

MPQ-YOLO: Ultra low mixed-precision quantization of YOLO for edge devices deployment. - Xinyu Liu 028; Tao Wang 053; Jiaming Yang; Chenwei Tang; Jiancheng Lv 001 (Neurocomputing, 2024)

An empirical study on optimizing binary spiking neural networks for neuromorphic computing. - Ping He; Rong Xiao 001; Chenwei Tang; Shudong Huang; Jiancheng Lv 001 (Appl. Soft Comput., 2025)

GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model. - Caiyang Yu; Xianggen Liu; Yifan Wang; Yun Liu; Wentao Feng; Xiong Deng; Chenwei Tang; Jiancheng Lv 001 (Big Data Min. Anal., 2025)

GDM-BC: Non-invasive body composition dataset for intelligent prediction of Gestational Diabetes Mellitus. - Chen Zheng; Tong Qing; Mao Li 001; Shujuan Liao; Biru Luo; Chenwei Tang; Jiancheng Lv 001 (Comput. Biol. Medicine, 2025)

DSAIS-PINN: Dynamic seeds allocation importance sampling for physics-informed neural networks. - Wentao Feng; Ming Hu; Rui Huang; Chenwei Tang; Shudong Huang; Jiancheng Lv 001 (Neurocomputing, 2025)

Multi-attribute dynamic attenuation learning improved spiking actor network. - Rong Xiao 001; Zhiyuan Hu; Jie Zhang; Chenwei Tang; Jiancheng Lv 001 (Neurocomputing, 2025)

Rethinking neural architecture representation for predictors: Topological encoding in pixel space. - Caiyang Yu; Jian Wang; Yifan Wang; Wei Ju 001; Chenwei Tang; Jiancheng Lv 001 (Inf. Fusion, 2025)

EBAD-Gaussian: Event-driven Bundle Adjusted Deblur Gaussian Splatting. - Yufei Deng; Yuanjian Wang; Rong Xiao 001; Chenwei Tang; Jizhe Zhou; Jiahao Fan; Deng Xiong; Jiancheng Lv 001; Huajin Tang (CoRR, 2025)

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection. - Jingyu Xing; Chenwei Tang; Tao Wang 053; Rong Xiao 001; Wei Ju 001; Ji-Zhe Zhou; Liangli Zhen; Jiancheng Lv 001 (CoRR, 2025)

SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields. - Yuanjian Wang; Yufei Deng; Rong Xiao 001; Jiahao Fan; Chenwei Tang; Deng Xiong; Jiancheng Lv 001 (CoRR, 2025)

Precision Neural Network Quantization via Learnable Adaptive Modules. - Wenqiang Zhou; Zhendong Yu; Xinyu Liu 001; Jiaming Yang; Rong Xiao 001; Tao Wang 053; Chenwei Tang; Jiancheng Lv 001 (CoRR, 2025)

STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks. - Ping He; Rong Xiao 001; Chenwei Tang; Shudong Huang; Jiancheng Lv 001; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval. - Yifan Wang; Tao Wang 053; Chenwei Tang; Caiyang Yu; Zhengqing Zang; Mengmi Zhang; Shudong Huang; Jiancheng Lv 001 (CoRR, 2025)

Partial Differential Equations Meet Deep Neural Networks: A Survey. - Shudong Huang; Wentao Feng; Chenwei Tang; Zhenan He 001; Caiyang Yu; Jiancheng Lv 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)