Shih-Yang Liu

Orcid: 0000-0003-1997-0843

According to our database1, Shih-Yang Liu authored at least 10 papers between 2022 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

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Bibliography

2024
EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation.
CoRR, 2024

DoRA: Weight-Decomposed Low-Rank Adaptation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Efficient Quantization-aware Training with Adaptive Coreset Selection.
CoRR, 2023

Oscillation-free Quantization for Low-bit Vision Transformers.
Proceedings of the International Conference on Machine Learning, 2023

LLM-FP4: 4-Bit Floating-Point Quantized Transformers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
IPR: Interaction-level Preference Ranking for Explicit feedback.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Forecasting Asset Dependencies to Reduce Portfolio Risk.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022


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