Chenhao Xue

According to our database, Chenhao Xue authored at least 20 papers between 2016 and 2025.

Collaborative distances:

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

2025

AutoGeTS: Knowledge-based Automated Generation of Text Synthetics for Improving Text Classification.

Chenhao Xue, Yuanzhe Jin, Adrian Carrasco-Revilla, Joyraj Chakraborty, Min Chen

CoRR, August, 2025

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs.

Chenchen Zhao, Zhengyuan Shi, Xiangyu Wen, Chengjie Liu, Yi Liu, Yunhao Zhou, Yuxiang Zhao, Hefei Feng, Yinan Zhu, Gwok-Waa Wan, Xin Cheng, Weiyu Chen, Yongqi Fu, Chujie Chen, Chenhao Xue, Guangyu Sun, Ying Wang, Yibo Lin, Jun Yang, Ning Xu, Xi Wang, Qiang Xu

CoRR, July, 2025

AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models.

Chenhao Xue, Kezhi Li, Jiaxing Zhang, Yi Ren, Zhengyuan Shi, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun

CoRR, July, 2025

ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA.

Zhengyuan Shi, Zeju Li, Chengyu Ma, Yunhao Zhou, Ziyang Zheng, Jiawei Liu, Hongyang Pan, Lingfeng Zhou, Kezhi Li, Jiaying Zhu, Lingwei Yan, Zhiqiang He, Chenhao Xue, Wentao Jiang, Fan Yang, Guangyu Sun, Xiaoyan Yang, Gang Chen, Chuan Shi, Zhufei Chu, Jun Yang, Qiang Xu

CoRR, May, 2025

DiffuSE: Cross-Layer Design Space Exploration of DNN Accelerator via Diffusion-Driven Optimization.

Yi Ren, Chenhao Xue, Jiaxing Zhang, Chen Zhang, Qiang Xu, Yibo Lin, Lining Zhang, Guangyu Sun

CoRR, March, 2025

DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators.

Chenhao Xue, Yi Ren, Jinwei Zhou, Kezhi Li, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun

CoRR, March, 2025

2024

Theseus: Towards High-Efficiency Wafer-Scale Chip Design Space Exploration for Large Language Models.

Jingchen Zhu, Chenhao Xue, Yiqi Chen, Zhao Wang, Guangyu Sun

CoRR, 2024

The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models.

Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou

CoRR, 2024

LLM Inference Unveiled: Survey and Roofline Model Insights.

Zhihang Yuan, Yuzhang Shang, Yang Zhou, Zhen Dong, Zhe Zhou, Chenhao Xue, Bingzhe Wu, Zhikai Li, Qingyi Gu, Yong Jae Lee, Yan Yan, Beidi Chen, Guangyu Sun, Kurt Keutzer

CoRR, 2024

Erratum to: Large circuit models: opportunities and challenges.

Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Ru Huang, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yu Li, Yun Liang, Jinwei Liu, Yi Liu, Yibo Lin, Guojie Luo, Hongyang Pan, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Junchi Yan, Jun Yang, Bei Yu, Mingxuan Yuan, Evangeline F. Y. Young, Xuan Zeng, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou

Sci. China Inf. Sci., 2024

Large circuit models: opportunities and challenges.

Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Ru Huang, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yu Li, Yun Liang, Jinwei Liu, Yi Liu, Yibo Lin, Guojie Luo, Hongyang Pan, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Junchi Yan, Jun Yang, Bei Yu, Mingxuan Yuan, Evangeline F. Y. Young, Xuan Zeng, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou

Sci. China Inf. Sci., 2024

Design of Driver Stress Prediction Model with CNN-LSTM: Exploration of Feature Space using Genetic Programming.

Tingting Yang, Chenhao Xue, Jun Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

Oltron: Algorithm-Hardware Co-design for Outlier-Aware Quantization of LLMs with Inter-/Intra-Layer Adaptation.

Chenhao Xue, Chen Zhang, Xun Jiang, Zhutianya Gao, Yibo Lin, Guangyu Sun

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

A Software-Hardware Co-design Solution for 3D Inner Structure Reconstruction.

Xingchen Li, Zhe Zhou, Qilin Zheng, Guangyu Sun, Qiankun Wang, Chenhao Xue

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

2022

Latency-aware Spatial-wise Dynamic Networks.

Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization.

Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

PTQ4ViT: Post-Training Quantization Framework for Vision Transformers.

Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun

CoRR, 2021

PTQ-SL: Exploring the Sub-layerwise Post-training Quantization.

Zhihang Yuan, Yiqi Chen, Chenhao Xue, Chenguang Zhang, Qiankun Wang, Guangyu Sun

CoRR, 2021

LPX: Overlapping community detection based on X-means and label propagation algorithm in attributed networks.

Jinhuan Ge, Heli Sun, Chenhao Xue, Liang He, Xiaolin Jia, Hui He, Jiyin Chen

Comput. Intell., 2021

2016

A machine learning based software process model recommendation method.

Qinbao Song, Xiaoyan Zhu, Guangtao Wang, Heli Sun, He Jiang, Chenhao Xue, Baowen Xu, Wei Song

J. Syst. Softw., 2016