Hao Gu
12 papers · 2024–2026 · 5 venues · across top CS/AI venues
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
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Keywords
large language model
(4)
model compression
(3)
singular value decomposition
(3)
supervised fine-tuning
(2)
chain-of-thought reasoning
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parameter reduction
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mixture of expert
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low-rank matrices
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knowledge distillation
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continual learning
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fisher information
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redundancy reduction
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computational efficiency
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fisher information matrix
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mathematical reasoning
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vision-language model
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model merging
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low-rank adaptation
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entropy regularization
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emotion recognition
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Papers
Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models
ACL 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
Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models
ACL 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
Delta Decompression for MoE-based LLMs Compression
ICML 2025
Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model
Interspeech 2025
MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition
ICML 2025
OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition
ICML 2025
Region-Based Optimization in Continual Learning for Audio Deepfake Detection
AAAI 2025
NLoPT: N-gram Enhanced Low-Rank Task Adaptive Pre-training for Efficient Language Model Adaption
COLING 2024