Xianglong Liu
- Papers
- 21
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Authored papers
21IQuest-Coder-V1 Technical Report
arXiv 2026
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
arXiv 2026
InCoder-32B: Code Foundation Model for Industrial Scenarios
arXiv 2026
Low-bit Model Quantization for Deep Neural Networks: A Survey
arXiv 2025
An Empirical Study of Qwen3 Quantization
arXiv 2025
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
arXiv 2025
Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings
arXiv 2025
PTQ4SAM: Post-Training Quantization for Segment Anything
arXiv 2024
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
arXiv 2024
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
arXiv 2024
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
arXiv 2024
An empirical study of LLaMA3 quantization: from LLMs to MLLMs
arXiv 2024
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
arXiv 2024
HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
arXiv 2024
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
arXiv 2023
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
CVPR 2024 1
BiBench: Benchmarking and Analyzing Network Binarization
arXiv 2023
Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling
arXiv 2023
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
arXiv 2023
BiBERT: Accurate Fully Binarized BERT
bibert-accurate-fully-binarized-bert
Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark
ICCV 2021 10
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