Yudong Pan

According to our database, Yudong Pan authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling Co-Design.

Chenyang Ai, Yixing Zhang, Haoran Wu, Yudong Pan, Lechuan Zhao, Wenhui OU

CoRR, April, 2026

TriMoE: Augmenting GPU with AMX-Enabled CPU and DIMM-NDP for High-Throughput MoE Inference via Offloading.

Yudong Pan, Yintao He, Tianhua Han, Lian Liu, Shixin Zhao, Zhirong Chen, Mengdi Wang, Cangyuan Li, Yinhe Han, Ying Wang

CoRR, March, 2026

From Buffers to Registers: Unlocking Fine-Grained FlashAttention with Hybrid-Bonded 3D NPU Co-Design.

Jinxin Yu, Yudong Pan, Mengdi Wang, Huawei Li, Yinhe Han, Xiaowei Li, Ying Wang

CoRR, February, 2026

Ouroboros: Wafer-Scale SRAM CIM with Token-Grained Pipelining for Large Language Model Inference.

Yiqi Liu, Yudong Pan, Mengdi Wang, Shixin Zhao, Haonan Zhu, Yinhe Han, Lei Zhang, Ying Wang

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

AutoSilicon: Scaling Up RTL Design Generation Capability of Large Language Models.

Cangyuan Li, Chujie Chen, Yudong Pan, Wenjun Xu, Yiqi Liu, Kaiyan Chang, Yujie Wang, Mengdi Wang, Huawei Li, Yinhe Han, Ying Wang

ACM Trans. Design Autom. Electr. Syst., November, 2025

COMET: Towards Practical W4A4KV4 LLMs Serving.

Lian Liu, Long Cheng, Haimeng Ren, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Constantly optimized mean teacher for semi-supervised 3D MRI image segmentation.

Ning Li, Yudong Pan, Wei Qiu, Lianjin Xiong, Yaobin Wang, Yangsong Zhang

Medical Biol. Eng. Comput., July, 2024

COMET: Towards Partical W4A4KV4 LLMs Serving.

Lian Liu, Haimeng Ren, Long Cheng, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang

CoRR, 2024

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.

Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

A transformer-based deep neural network model for SSVEP classification.

Jianbo Chen, Yangsong Zhang, Yudong Pan, Peng Xu, Cuntai Guan

Neural Networks, July, 2023

Short-time SSVEP data extension by a novel generative adversarial networks based framework.

Yudong Pan, Ning Li, Yangsong Zhang

CoRR, 2023

SSVEP Data Augmentation Based on Filter Band Masking and Random Phase Erasing.

Yudong Pan, Ning Li, Lianjin Xiong, Yiqian Luo, Yangsong Zhang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Aided Diagnosis of Autism Spectrum Disorder Based on a Mixed Neural Network Model.

Yiqian Luo, Ning Li, Yudong Pan, Wei Qiu, Lianjin Xiong, Yangsong Zhang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Segment Anything Model for Semi-supervised Medical Image Segmentation via Selecting Reliable Pseudo-labels.

Ning Li, Lianjin Xiong, Wei Qiu, Yudong Pan, Yiqian Luo, Yangsong Zhang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2021

Accelerating DCNNs via Cooperative Weight/Activation Compression.

Yuhao Zhang, Xikun Jiang, Xinyu Wang, Yudong Pan, Pusen Dong, Bin Sun, Zhaoyan Shen, Zhiping Jia

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021