Lujun Li
33 papers · 2022–2026 · 11 conferences · across top CS/AI conferences
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model compression
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knowledge distillation
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neural architecture search
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large language model
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architecture search
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evolutionary algorithm
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low-rank adaptation
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neural network
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small language model
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singular value decomposition
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ranking consistency
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zero-cost proxy
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Papers
Are Small Language Models the Silver Bullet to Low-Resource Languages Machine Translation?
EACL 2026
Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging
AAAI 2026
Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging
AAAI 2026
Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs
ACL 2026
BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook
ACL 2026
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
ICLR 2025
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
AAAI 2025
BayesKD: Bayesian Knowledge Distillation for Compact LLMs in Constrained Fine-tuning Scenarios
ACL 2025
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
ICML 2025
Delta Decompression for MoE-based LLMs Compression
ICML 2025
Small Language Models in the Real World: Insights from Industrial Text Classification
ACL 2025
How LLMs React to Industrial Spatio-Temporal Data? Assessing Hallucination with a Novel Traffic Incident Benchmark Dataset
NAACL 2025
MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition
ICML 2025
AIRA: Activation-Informed Low-Rank Adaptation for Large Models
ICCV 2025
Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation
ICCV 2025
LPZero: Language Model Zero-cost Proxy Search from Zero
EMNLP 2024
Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment
NIPS 2024
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
NIPS 2024
SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training
AAAI 2024
UniADS: Universal Architecture-Distiller Search for Distillation Gap
AAAI 2024
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery
AAAI 2024
AttnZero: Efficient Attention Discovery for Vision Transformers
ECCV 2024
Auto-GAS: Automated Proxy Discovery for Training-free Generative Architecture Search
ECCV 2024
Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search
ECCV 2024
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
ICML 2024
DetKDS: Knowledge Distillation Search for Object Detectors
ICML 2024
DisWOT: Student Architecture Search for Distillation WithOut Training
CVPR 2023
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
ICCV 2023
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
NIPS 2023
Automated Knowledge Distillation via Monte Carlo Tree Search
ICCV 2023
Self-Regulated Feature Learning via Teacher-Free Feature Distillation
ECCV 2022
Shadow Knowledge Distillation: Bridging Offline and Online Knowledge Transfer
NIPS 2022
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
AAAI 2022