Xinkai Song

According to our database, Xinkai Song authored at least 26 papers between 2016 and 2025.

Collaborative distances:

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

2025

QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach.

Shouyang Dong, Yuanbo Wen, Jun Bi, Di Huang, Jiaming Guo, Jianxing Xu, Ruibai Xu, Xinkai Song, Yifan Hao, Xuehai Zhou, Tianshi Chen, Qi Guo, Yunji Chen

CoRR, May, 2025

Harmonia: A Unified Architecture for Efficient Deep Symbolic Regression.

Tianyun Ma, Yuanbo Wen, Xinkai Song, Pengwei Jin, Di Huang, Husheng Han, Ziyuan Nan, Zhongkai Yu, Shaohui Peng, Yongwei Zhao, Huaping Chen, Zidong Du, Xing Hu, Qi Guo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2025

QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach.

Shouyang Dong, Jun Bi, Di Huang, Jiaming Guo, Jianxing Xu, Ruibai Xu, Xinkai Song, Yifan Hao, Ling Li, Xuehai Zhou, Tianshi Chen, Qi Guo, Yunji Chen

Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table.

Tianbo Liu, Xinkai Song, Zhifei Yue, Rui Wen, Xing Hu, Zhuoran Song, Yuanbo Wen, Yifan Hao, Wei Li, Zidong Du, Rui Zhang, Jiaming Guo, Di Huang, Shaohui Peng, Guangzhong Sun, Qi Guo, Tianshi Chen

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Cambricon-DG: An Accelerator for Redundant-Free Dynamic Graph Neural Networks Based on Nonlinear Isolation.

Zhifei Yue, Xinkai Song, Tianbo Liu, Xing Hu, Rui Zhang, Zidong Du, Wei Li, Qi Guo, Tianshi Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Shaohui Peng, Yongwei Zhao, Chen Zhao, Yanjun Wu, Ling Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Mosaic: Exploiting Instruction-Level Parallelism on Deep Learning Accelerators with <i>iTex</i> Tessellation.

Jianxing Xu, Yuanbo Wen, Zikang Liu, Ruibai Xu, Tingfeng Ruan, Jun Bi, Rui Zhang, Di Huang, Xinkai Song, Yifan Hao, Xing Hu, Zidong Du, Chongqing Zhao, Jiang Jie, Qi Guo

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

2024

Environmental Condition Aware Super-Resolution Acceleration Framework in Server-Client Hierarchies.

Zhuoran Song, Zhongkai Yu, Xinkai Song, Yifan Hao, Li Jiang, Naifeng Jing, Xiaoyao Liang

ACM Trans. Archit. Code Optim., December, 2024

REACT: Remainder Adaptive Compensation for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Ling Li

IEEE Trans. Image Process., 2024

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Yunji Chen, Ling Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM.

Zhongkai Yu, Shengwen Liang, Tianyun Ma, Yunke Cai, Ziyuan Nan, Di Huang, Xinkai Song, Yifan Hao, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu, Qi Guo, Tianshi Chen

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

SRender: Boosting Neural Radiance Field Efficiency via Sensitivity-Aware Dynamic Precision Rendering.

Zhuoran Song, Houshu He, Fangxin Liu, Yifan Hao, Xinkai Song, Li Jiang, Xiaoyao Liang

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-C: Efficient 4-Bit Matrix Unit via Primitivization.

Yi Chen, Yongwei Zhao, Yifan Hao, Yuanbo Wen, Yuntao Dai, Xiaqing Li, Yang Liu, Rui Zhang, Mo Zou, Xinkai Song, Xing Hu, Zidong Du, Huaping Chen, Qi Guo, Tianshi Chen

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models.

Weihao Kong, Yifan Hao, Qi Guo, Yongwei Zhao, Xinkai Song, Xiaqing Li, Mo Zou, Zidong Du, Rui Zhang, Chang Liu, Yuanbo Wen, Pengwei Jin, Xing Hu, Wei Li, Zhiwei Xu, Tianshi Chen

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

AutoOS: Make Your OS More Powerful by Exploiting Large Language Models.

Huilai Chen, Yuanbo Wen, Limin Cheng, Shouxu Kuang, Yumeng Liu, Weijia Li, Ling Li, Rui Zhang, Xinkai Song, Wei Li, Qi Guo, Yunji Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing.

Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, Tianyun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Emergent Communication for Numerical Concepts Generalization.

Enshuai Zhou, Yifan Hao, Rui Zhang, Yuxuan Guo, Zidong Du, Xishan Zhang, Xinkai Song, Chao Wang, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Chip design with machine learning: a survey from algorithm perspective.

Wenkai He, Xiaqing Li, Xinkai Song, Yifan Hao, Rui Zhang, Zidong Du, Yunji Chen

Sci. China Inf. Sci., November, 2023

Learning Domain-Aware Detection Head with Prompt Tuning.

Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergent Communication for Rules Reasoning.

Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation.

Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing.

Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

BALTO: fast tensor program optimization with diversity-based active learning.

Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks.

Xinkai Song, Tian Zhi, Zhe Fan, Zhenxing Zhang, Xi Zeng, Wei Li, Xing Hu, Zidong Du, Qi Guo, Yunji Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

2021

Cambricon-Q: A Hybrid Architecture for Efficient Training.

Yongwei Zhao, Chang Liu, Zidong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xishan Zhang, Ling Li, Zhiwei Xu, Tianshi Chen

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2016

Traffic Sign Detection with Convolutional Neural Networks.

Evan Peng, Feng Chen, Xinkai Song

Proceedings of the Cognitive Systems and Signal Processing, 2016