Yudong Pan

17 papers A* 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Buffers to Registers: Unlocking Fine-Grained FlashAttention with Hybrid-Bonded 3D NPU Co-Design.
CoRR
Jinxin Yu, Yudong Pan, Mengdi Wang, Huawei Li, Yinhe Han, Xiaowei Li, Ying Wang
2026 — conf
Ouroboros: Wafer-Scale SRAM CIM with Token-Grained Pipelining for Large Language Model Inference.
ASPLOS (2)
Yiqi Liu, Yudong Pan, Mengdi Wang, Shixin Zhao, Haonan Zhu, Yinhe Han, Lei Zhang, Ying Wang
2026 J jnl
Ouroboros: Wafer-Scale SRAM CIM with Token-Grained Pipelining for Large Language Model Inference.
CoRR
Yiqi Liu, Yudong Pan, Mengdi Wang, Shixin Zhao, Haonan Zhu, Yinhe Han, Lei Zhang, Ying Wang
2026 J jnl
TriMoE: Augmenting GPU with AMX-Enabled CPU and DIMM-NDP for High-Throughput MoE Inference via Offloading.
CoRR
Yudong Pan, Yintao He, Tianhua Han, Lian Liu, Shixin Zhao, Zhirong Chen, Mengdi Wang, Cangyuan Li, Yinhe Han, Ying Wang
2025 J jnl
AutoSilicon: Scaling Up RTL Design Generation Capability of Large Language Models.
ACM Trans. Design Autom. Electr. Syst.
Cangyuan Li, Chujie Chen, Yudong Pan, Wenjun Xu, Yiqi Liu, Kaiyan Chang, Yujie Wang, Mengdi Wang, Huawei Li, Yinhe Han, Ying Wang
2025 — conf
COMET: Towards Practical W4A4KV4 LLMs Serving.
ASPLOS (2)
Lian Liu, Long Cheng, Haimeng Ren, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang
2024 J jnl
COMET: Towards Partical W4A4KV4 LLMs Serving.
CoRR
Lian Liu, Haimeng Ren, Long Cheng, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang
2024 J jnl
Constantly optimized mean teacher for semi-supervised 3D MRI image segmentation.
Medical Biol. Eng. Comput.
Ning Li, Yudong Pan, Wei Qiu, Lianjin Xiong, Yaobin Wang, Yangsong Zhang
2024 A* conf
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.
DAC
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
2024 J jnl
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.
CoRR
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
2023 J jnl
A transformer-based deep neural network model for SSVEP classification.
Neural Networks
Jianbo Chen, Yangsong Zhang, Yudong Pan, Peng Xu, Cuntai Guan
2023 — conf
Aided Diagnosis of Autism Spectrum Disorder Based on a Mixed Neural Network Model.
ICONIP (10)
Yiqian Luo, Ning Li, Yudong Pan, Wei Qiu, Lianjin Xiong, Yangsong Zhang
2023 — conf
SSVEP Data Augmentation Based on Filter Band Masking and Random Phase Erasing.
ICONIP (9)
Yudong Pan, Ning Li, Lianjin Xiong, Yiqian Luo, Yangsong Zhang
2023 — conf
Segment Anything Model for Semi-supervised Medical Image Segmentation via Selecting Reliable Pseudo-labels.
ICONIP (10)
Ning Li, Lianjin Xiong, Wei Qiu, Yudong Pan, Yiqian Luo, Yangsong Zhang
2023 J jnl
Short-time SSVEP data extension by a novel generative adversarial networks based framework.
CoRR
Yudong Pan, Ning Li, Yangsong Zhang
2022 J jnl
A Transformer-based deep neural network model for SSVEP classification.
CoRR
Jianbo Chen, Yangsong Zhang, Yudong Pan, Peng Xu, Cuntai Guan
2021 — conf
Accelerating DCNNs via Cooperative Weight/Activation Compression.
ICA3PP (3)
Yuhao Zhang, Xikun Jiang, Xinyu Wang, Yudong Pan, Pusen Dong, Bin Sun, Zhaoyan Shen, Zhiping Jia