Hao Gu
11 papers · 2024–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π
Conference Polyglot
(3)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
π§
Keyword Pioneer
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Cross-Pollinator
(15)
Conferences
ACL (4)
AAAI (3)
ICML (3)
COLING (1)
Top co-authors
Keywords
large language model
(3)
model compression
(3)
continual learning
(1)
catastrophic forgetting
(1)
mathematical reasoning
(1)
knowledge distillation
(1)
chain-of-thought reasoning
(1)
model merging
(1)
computational efficiency
(1)
fisher information
(1)
singular value decomposition
(1)
redundancy reduction
(1)
entropy regularization
(1)
low-rank adaptation
(1)
mixture of expert
(1)
supervised fine-tuning
(1)
low-bit quantization
(1)
expert merging
(1)
learnable transformation
(1)
cross-attention mechanism
(1)
Papers
Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models
ACL 2026
Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging
AAAI 2026
Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging
AAAI 2026
Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning 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
Delta Decompression for MoE-based LLMs Compression
ICML 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