Xue Liu
27 papers · 2020–2026 · 9 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.
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Research topics
Machine Learning
(19)
Artificial Intelligence
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Core AI
(13)
Deep Learning
(12)
Learning Types
(9)
Optimization & Theory
(9)
Application Areas
(8)
Core Methods
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Natural Language Processing
(4)
Architectures
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Techniques
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Computer Vision
(3)
Data Science & Analytics
(3)
Healthcare & Medicine
(3)
Applications
(3)
Keywords
large language model
(4)
model compression
(3)
attention mechanism
(2)
information extraction
(2)
bilevel optimization
(2)
language model
(2)
ternary quantization
(2)
neural tangent kernel
(1)
image classification
(1)
transformer architecture
(1)
text classification
(1)
feature selection
(1)
uncertainty quantification
(1)
object detection
(1)
computer vision
(1)
entropy minimization
(1)
model quantization
(1)
knowledge distillation
(1)
factual accuracy
(1)
approximate inference
(1)
Papers
Awakening Dormant Experts:Counterfactual Routing to Mitigate MoE Hallucinations
ACL 2026
FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure
ACL 2026
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
ACL 2026
Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
ACL 2026
Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization
ACL 2026
RubricBench: Aligning Model-Generated Rubrics with Human Standards
ACL 2026
Sherry: Hardware-Efficient 1.25-Bit Ternary Quantization via Fine-grained Sparsification
ACL 2026
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
ICLR 2025
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
IJCAI 2025
Generative AI for Immersive Video: Recent Advances and Future Opportunities
IJCAI 2025
ParetoFlow: Guided Flows in Multi-Objective Optimization
ICLR 2025
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception
AAAI 2025
Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation
ACL 2025
Collaborative Performance Prediction for Large Language Models
EMNLP 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
NeurIPS 2024
Learning to Extract Structured Entities Using Language Models
EMNLP 2024
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
ICLR 2024
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
ICLR 2024
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
ICML 2024
Think Before You Act: Decision Transformers with Working Memory
ICML 2024
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
ICLR 2023
Bidirectional Learning for Offline Model-based Biological Sequence Design
ICML 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models
WACV 2023
Learning Multi-Objective Curricula for Robotic Policy Learning
CoRL 2022
Knowledge-Enhanced Top-K Recommendation in PoincarΓ© Ball
AAAI 2021
Feature Statistics Guided Efficient Filter Pruning
IJCAI 2020
Memory Augmented Graph Neural Networks for Sequential Recommendation
AAAI 2020