Xingrun Xing
10 papers · 2022–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(6)
Machine Learning
(6)
Application Areas
(6)
Optimization & Theory · Deep Learning
(4)
Natural Language Processing
(3)
Learning Types
(3)
Architectures
(2)
Models
(2)
Resources & Methods
(2)
Core Methods
(1)
Generation
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
large language model
(4)
language model
(2)
model compression
(2)
model merging
(2)
semantic information
(1)
natural language understanding
(1)
knowledge distillation
(1)
power-law decay
(1)
image editing
(1)
low-rank estimation
(1)
model pruning
(1)
diffusion model
(1)
spiking neural network
(1)
model fine-tuning
(1)
foundation model
(1)
energy efficiency
(1)
supervised fine-tuning
(1)
inference efficiency
(1)
layer skipping
(1)
language modeling
(1)
Papers
EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models
ACL 2026
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities
ICLR 2025
OmniGen: Unified Image Generation
CVPR 2025
Position-Aware Depth Decay Decoding (D3): Boosting Large Language Model Inference Efficiency
ACL 2025
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
ICLR 2025
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials
AAAI 2024
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
ACL 2024
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
EMNLP 2024
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
ICML 2024
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
ECCV 2022