Xiaoyu Liu
40 papers · 2018–2026 · 16 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Conference Polyglot (15) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
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Taxonomy Completionist
(76)
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Conference Polyglot
(15)
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Academic Marathon
(7)
π
Grand Slam
π€
Dynamic Duo
(10)
ποΈ
Keyword Collector
(163)
β‘
Prolific Year
(5)
π
Conference Pioneer
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Century Club
(37)
π₯
Unstoppable
(5)
π
Trend Setter
Conferences
ACL (5)
CVPR (5)
EMNLP (5)
ICCV (4)
ICLR (4)
AAAI (2)
ECCV (2)
ICML (2)
IJCAI (2)
MICCAI (2)
NAACL (2)
COLING (1)
INTERSPEECH (1)
JMLR (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
knowledge distillation
(4)
language model
(4)
multimodal learning
(4)
hallucination detection
(3)
instance segmentation
(3)
large language model
(2)
domain generalization
(2)
generative retrieval
(2)
semi-supervised learning
(2)
benchmark evaluation
(2)
electron microscopy
(2)
image segmentation
(2)
self-supervised learning
(2)
neuron segmentation
(2)
model compression
(2)
image denoising
(2)
token prediction
(2)
image restoration
(1)
domain adaptation
(1)
reinforcement learning
(1)
Papers
Efficient Plug-and-Play Weight Refinement for Sparse Large Models
AAAI 2026
Multi-Granularity Semantic Revision for Large Language Model Distillation
ACL 2026
Multi-Aspect Cross-modal Quantization for Generative Recommendation
AAAI 2026
A Framework for Effective Invocation Methods of Various LLM Services
COLING 2025
CoA-VLA: Improving Vision-Language-Action Models via Visual-Text Chain-of-Affordance
ICCV 2025
Multi-level Relevance Document Identifier Learning for Generative Retrieval
ACL 2025
HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search
ACL 2025
Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling
EMNLP 2025
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
EMNLP 2025
TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation
ICCV 2025
Prompting Fairness: Integrating Causality to Debias Large Language Models
ICLR 2025
CBQ: Cross-Block Quantization for Large Language Models
ICLR 2025
MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
ICML 2025
DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression
ICML 2025
Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes
MICCAI 2025
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
NAACL 2025
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
WACV 2025
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
EMNLP 2024
AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models
EMNLP 2024
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
ACL 2024
MaskSR: Masked Language Model for Full-band Speech Restoration
INTERSPEECH 2024
Distilling Semantic Priors from SAM to Efficient Image Restoration Models
CVPR 2024
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
CVPR 2024
Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation
CVPR 2024
PQ-SAM: Post-training Quantization for Segment Anything Model
ECCV 2024
SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions
ECCV 2024
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval
MICCAI 2024
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
ICLR 2024
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation
NAACL 2024
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
ACL 2024
A Soma Segmentation Benchmark in Full Adult Fly Brain
CVPR 2023
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
ICCV 2023
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
NIPS 2023
Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation
ICCV 2023
Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising
CVPR 2023
Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency
ICLR 2022
Biological Instance Segmentation with a Superpixel-Guided Graph
IJCAI 2022
Histogram Transform Ensembles for Large-scale Regression
JMLR 2021
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
EMNLP 2021
Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation
IJCAI 2018