Hongxia Xu
14 papers · 2024–2026 · 8 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
Jump to papers ↓+4 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (39) 🏆 Keyword Champion
🤝
Dynamic Duo
(11)
🗃️
Keyword Collector
(66)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(8)
Core AI
(8)
Deep Learning
(7)
Natural Language Processing
(7)
Learning Types · Machine Learning
(5)
Resources & Methods
(5)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Architectures
(3)
Computer Vision
(2)
Application Areas
(2)
Models
(2)
Analysis
(1)
Applications
(1)
Keywords
large language model
(3)
representation learning
(2)
mixture of expert
(2)
knowledge distillation
(2)
anomaly detection
(1)
preference learning
(1)
semi-supervised learning
(1)
maximum mean discrepancy
(1)
transfer learning
(1)
knowledge editing
(1)
question answering
(1)
chain-of-thought reasoning
(1)
multimodal learning
(1)
multilingual processing
(1)
instruction tuning
(1)
medical imaging
(1)
diverse sampling
(1)
model pruning
(1)
wavelet transform
(1)
direct preference optimization
(1)
Papers
ALEX:A Light Editing-knowledge Extractor
AAAI 2026
Debate-of-Thoughts: Resolving Knowledge Conflicts in LLMs Through Internal Deliberation
ACL 2026
Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling
ACL 2026
WDT-MD: Wavelet Diffusion Transformers for Microaneurysm Detection in Fundus Images
AAAI 2026
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
ACL 2025
Icon2: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation
EMNLP 2025
LIFTED: Multimodal Clinical Trial Outcome Prediction via Large Language Models and Mixture-of-Experts
EMNLP 2025
OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM
ICCV 2025
Reason from Future: Reverse Thought Chain Enhances LLM Reasoning
ACL 2025
Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
MICCAI 2025
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
NeurIPS 2024
Making Pre-trained Language Models Great on Tabular Prediction
ICLR 2024
Mind’s Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models
NAACL 2024
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications
EMNLP 2024