Accelerating DCNNs via Cooperative Weight/Activation Compression. - Yuhao Zhang 006; Xikun Jiang; Xinyu Wang; Yudong Pan; Pusen Dong; Bin Sun; Zhaoyan Shen; Zhiping Jia (ICA3PP (3), 2021)

Segment Anything Model for Semi-supervised Medical Image Segmentation via Selecting Reliable Pseudo-labels. - Ning Li 030; Lianjin Xiong; Wei Qiu; Yudong Pan; Yiqian Luo; Yangsong Zhang (ICONIP (10), 2023)

Aided Diagnosis of Autism Spectrum Disorder Based on a Mixed Neural Network Model. - Yiqian Luo; Ning Li 030; Yudong Pan; Wei Qiu; Lianjin Xiong; Yangsong Zhang (ICONIP (10), 2023)

SSVEP Data Augmentation Based on Filter Band Masking and Random Phase Erasing. - Yudong Pan; Ning Li 030; Lianjin Xiong; Yiqian Luo; Yangsong Zhang (ICONIP (9), 2023)

Short-time SSVEP data extension by a novel generative adversarial networks based framework. - Yudong Pan; Ning Li 030; Yangsong Zhang (CoRR, 2023)

A transformer-based deep neural network model for SSVEP classification. - Jianbo Chen; Yangsong Zhang; Yudong Pan; Peng Xu 001; Cuntai Guan (Neural Networks, 2023)

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. - Kaiyan Chang; Kun Wang 055; Nan Yang; Ying Wang 001; Dantong Jin; Wenlong Zhu; Zhirong Chen; Cangyuan Li; Hao Yan; Yunhao Zhou; Zhuoliang Zhao; Yuan Cheng; et al. (DAC, 2024)

COMET: Towards Partical W4A4KV4 LLMs Serving. - Lian Liu; Haimeng Ren; Long Cheng 003; Zhaohui Xu; Yudong Pan; Mengdi Wang; Xiaowei Li 001; Yinhe Han 001; Ying Wang 001 (CoRR, 2024)

Constantly optimized mean teacher for semi-supervised 3D MRI image segmentation. - Ning Li 030; Yudong Pan; Wei Qiu; Lianjin Xiong; Yaobin Wang; Yangsong Zhang (Medical Biol. Eng. Comput., 2024)

COMET: Towards Practical W4A4KV4 LLMs Serving. - Lian Liu; Long Cheng 003; Haimeng Ren; Zhaohui Xu; Yudong Pan; Mengdi Wang; Xiaowei Li 001; Yinhe Han 001; Ying Wang 001 (ASPLOS (2), 2025)