Yuxin Zhang
28 papers · 2020–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (11) π Cross-Pollinator (5)
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Cross-Pollinator
(5)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(49)
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Keyword Champion
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Grand Slam
π§¬
Topic Evolution
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Dynamic Duo
(18)
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Trend Setter
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Century Club
(26)
π₯
Unstoppable
(5)
β‘
Prolific Year
(11)
ποΈ
Keyword Collector
(102)
Conferences
ICML (6)
AAAI (5)
ICLR (4)
ACL (3)
CVPR (3)
ICCV (2)
COLING (1)
ECCV (1)
EMNLP (1)
IJCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
model compression
(5)
large language model
(3)
diffusion model
(2)
knowledge distillation
(2)
textual inversion
(2)
network pruning
(2)
knowledge graph
(2)
vision transformer
(2)
neural network pruning
(1)
domain adaptation
(1)
neural network compression
(1)
image restoration
(1)
style transfer
(1)
attention mechanism
(1)
transfer learning
(1)
image generation
(1)
causal inference
(1)
preference alignment
(1)
data augmentation
(1)
knowledge editing
(1)
Papers
KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs
AAAI 2026
Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models
AAAI 2026
NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
ACL 2025
Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths
ACL 2025
Training Long-Context LLMs Efficiently via Chunk-wise Optimization
ACL 2025
TEF: Causality-Aware Taxonomy Expansion via Front-Door Criterion
COLING 2025
Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers
ICCV 2025
TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning
AAAI 2025
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models
ICLR 2025
Dynamic Low-Rank Sparse Adaptation for Large Language Models
ICLR 2025
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
ICML 2025
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
ICML 2025
BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training
ICML 2025
ERQ: Error Reduction for Post-Training Quantization of Vision Transformers
ICML 2024
UniPTS: A Unified Framework for Proficient Post-Training Sparsity
CVPR 2024
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
ICLR 2024
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model
CVPR 2024
Learning Image DemoirΓ©ing from Unpaired Real Data
AAAI 2024
Music Style Transfer with Time-Varying Inversion of Diffusion Models
AAAI 2024
APL: Anchor-based Prompt Learning for One-stage Weakly Supervised Referring Expression Comprehension
ECCV 2024
CaM: Cache Merging for Memory-efficient LLMs Inference
ICML 2024
SMMix: Self-Motivated Image Mixing for Vision Transformers
ICCV 2023
Real-Time Image Demoir$\acute{e}$ing on Mobile Devices
ICLR 2023
Bi-directional Masks for Efficient N:M Sparse Training
ICML 2023
Inversion-Based Style Transfer With Diffusion Models
CVPR 2023
Learning Best Combination for Efficient N:M Sparsity
NIPS 2022
A Multi-Modal Knowledge Graph for Classical Chinese Poetry
EMNLP 2022
Channel Pruning via Automatic Structure Search
IJCAI 2020