Xinkai Song

Orcid: 0000-0003-3458-1555

According to our database1, Xinkai Song authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
REACT: Remainder Adaptive Compensation for Domain Adaptive Object Detection.
IEEE Trans. Image Process., 2024

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection.
CoRR, 2024

Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM.
CoRR, 2024

TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing.
CoRR, 2024

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

AutoOS: Make Your OS More Powerful by Exploiting Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Emergent Communication for Numerical Concepts Generalization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Chip design with machine learning: a survey from algorithm perspective.
Sci. China Inf. Sci., November, 2023

Learning Domain-Aware Detection Head with Prompt Tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergent Communication for Rules Reasoning.
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.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

BALTO: fast tensor program optimization with diversity-based active learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

2021
Cambricon-Q: A Hybrid Architecture for Efficient Training.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2016
Traffic Sign Detection with Convolutional Neural Networks.
Proceedings of the Cognitive Systems and Signal Processing, 2016


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