Generator Versus Segmentor: Pseudo-healthy Synthesis. - Yunlong Zhang; Xin Lin; Liyan Sun; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (CoRR, 2020)

Adaptive noise imitation for image denoising. - Huangxing Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Yizhou Yu; Xiaoqing Liu; John W. Paisley (CoRR, 2020)

Noise2Grad: Extract Image Noise to Denoise. - Huangxing Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (IJCAI, 2021)

Generator Versus Segmentor: Pseudo-healthy Synthesis. - Yunlong Zhang; Chenxin Li; Xin Lin; Liyan Sun; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (MICCAI (6), 2021)

Self-Verification in Image Denoising. - Huangxing Lin; Yihong Zhuang; Delu Zeng; Yue Huang 001; Xinghao Ding; John W. Paisley (CoRR, 2021)

Knowledge Condensation Distillation. - Chenxin Li; Mingbao Lin; Zhiyuan Ding; Nie Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Liujuan Cao (ECCV (11), 2022)

A Two-Stage Contrastive Learning Framework For Imbalanced Aerial Scene Recognition. - Lexing Huang; Senlin Cai; Yihong Zhuang; Changxing Jing; Yue Huang 001; Xiaotong Tu; Xinghao Ding (ICASSP, 2022)

A Simple Siamese Framework for Vibration Signal Representations. - Guanxing Zhou; Yihong Zhuang; Xinghao Ding; Yue Huang 001; Saqlain Abbas; Xiaotong Tu (ICIP, 2022)

A Hybrid Framework Based on Classifier Calibration for Imbalanced Aerial Scene Recognition. - Yihong Zhuang; Changxing Jing; Senlin Cai; Lexing Huang; Yue Huang 001; Xiaotong Tu; Xinghao Ding (ICONIP (3), 2022)

A Closer Look at Personalization in Federated Image Classification. - Changxing Jing; Yan Huang 032; Yihong Zhuang; Liyan Sun; Yue Huang 001; Zhenlong Xiao; Xinghao Ding (CoRR, 2022)

Self-Supervised SAR Despeckling Powered by Implicit Deep Denoiser Prior. - Huangxing Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2022)

One-Shot HRRP Generation for Radar Target Recognition. - Liangchao Shi; Zhehan Liang; Yi Wen 003; Yihong Zhuang; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2022)

Dual Domain Multi-Task Model for Vehicle Re-Identification. - Yue Huang 001; Borong Liang; Weiping Xie; Yinghao Liao; Zhenyu Kuang; Yihong Zhuang; Xinghao Ding (IEEE Trans. Intell. Transp. Syst., 2022)

Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis. - Yunlong Zhang; Xin Lin; Yihong Zhuang; Liyan Sun; Yue Huang 001; Xinghao Ding; Guisheng Wang; Lin Yang 002; Yizhou Yu (IEEE Trans. Medical Imaging, 2022)

Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. - Huangxing Lin; Yihong Zhuang; Xinghao Ding; Delu Zeng; Yue Huang 001; Xiaotong Tu; John W. Paisley (AAAI, 2023)

A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification. - Zhengpeng Lv; Yihong Zhuang; Gang Yang; Yue Huang 001; Xinghao Ding (PRCV (4), 2023)

Interclass Similarity Transfer for Imbalanced Aerial Scene Classification. - Changxing Jing; Lexing Huang; Senlin Cai; Yihong Zhuang; Zhenlong Xiao; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2023)

Exploring personalization via federated representation Learning on non-IID data. - Changxing Jing; Yan Huang 032; Yihong Zhuang; Liyan Sun; Zhenlong Xiao; Yue Huang 001; Xinghao Ding (Neural Networks, 2023)

Unpaired Speckle Extraction for SAR Despeckling. - Huangxing Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding (IEEE Trans. Geosci. Remote. Sens., 2023)

Unsupervised Video-Based Action Recognition With Imagining Motion and Perceiving Appearance. - Wei Lin 021; Xiaoyu Liu; Yihong Zhuang; Xinghao Ding; Xiaotong Tu; Yue Huang 001; Huanqiang Zeng (IEEE Trans. Circuits Syst. Video Technol., 2023)

Learning Rate Dropout. - Huangxing Lin; Weihong Zeng; Yihong Zhuang; Xinghao Ding; Yue Huang 001; John W. Paisley (IEEE Trans. Neural Networks Learn. Syst., 2023)

ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems. - Yiming Zhang; Yingfan Ma; Yanmei Gu; Zhengkai Yang; Yihong Zhuang; Feng Wang; Zenan Huang; Yuanyuan Wang; Chao Huang; Bowen Song; Cheng Lin; Junbo Zhao (CoRR, 2025)

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts. - Haoyuan Wu; Haoxing Chen; Xiaodong Chen; Zhanchao Zhou; Tieyuan Chen; Yihong Zhuang; Guoshan Lu; Zenan Huang; Junbo Zhao; Lin Liu; Zhenzhong Lan; Bei Yu; et al. (CoRR, 2025)