Xia Ning
16 papers · 2010–2026 · 10 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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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Full π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
ποΈ
Keyword Collector
(89)
π
Conference Pioneer
β
The Questioner
β‘
Prolific Year Β· Prolific
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
π
Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(12)
Core AI
(11)
Machine Learning
(10)
Natural Language Processing
(9)
Resources & Methods
(8)
Learning Types
(7)
Deep Learning
(4)
Healthcare & Medicine
(4)
Core Methods
(4)
Application Areas
(3)
Models
(3)
Computer Vision
(2)
Clinical
(2)
Learning Paradigms
(2)
Research
(2)
Keywords
large language model
(7)
instruction tuning
(4)
multimodal learning
(3)
data-driven discovery
(2)
molecule optimization
(2)
benchmark evaluation
(2)
scientific discovery
(2)
collaborative filtering
(1)
image captioning
(1)
sparse learning
(1)
prompt engineering
(1)
text representation
(1)
code generation
(1)
instruction following
(1)
domain generalization
(1)
contrastive divergence
(1)
transcription factor
(1)
clinical named entity recognition
(1)
boltzmann machine
(1)
support vector regression
(1)
Papers
Dual-Domain Multimodal Hyperbolic Fusion for Cardiopulmonary Disease Diagnosis in Emergency Care
WACV 2026
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
EMNLP 2025
Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data
IJCNLP 2025
EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models
IJCNLP 2025
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
NAACL 2025
GeLLMΒ³O: Generalizing Large Language Models for Multi-property Molecule Optimization
ACL 2025
Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization
EMNLP 2025
LIDDIA: Language-based Intelligent Drug Discovery Agent
EMNLP 2025
Planning with Diffusion Models for Target-Oriented Dialogue Systems
ACL 2025
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search
NAACL 2025
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
ICLR 2025
Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving
NAACL 2025
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
ICML 2024
Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences
IJCAI 2015
Interpretable Sparse High-Order Boltzmann Machines
AISTATS 2014
Multi-task Learning for Recommender System
ACML 2010