Xia Ning
18 papers · 2010–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (11)
🌈
Renaissance Researcher
(5)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
👥
Mega-Team
(20)
🗃️
Keyword Collector
(89)
⚡
Prolific Year
(13)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(18)
❓
The Questioner
Conferences
EMNLP (3)
NAACL (3)
AACL (2)
ACL (2)
IJCNLP (2)
ACML (1)
AISTATS (1)
ICLR (1)
ICML (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
large language model
(6)
multimodal learning
(4)
instruction tuning
(3)
domain generalization
(2)
molecule optimization
(2)
foundation model
(2)
multimodal large language model
(2)
collaborative filtering
(1)
sparse learning
(1)
benchmark evaluation
(1)
image captioning
(1)
text representation
(1)
code generation
(1)
multi-modal learning
(1)
contrastive divergence
(1)
prompt engineering
(1)
transcription factor
(1)
support vector regression
(1)
clinical named entity recognition
(1)
instruction following
(1)
Papers
Dual-Domain Multimodal Hyperbolic Fusion for Cardiopulmonary Disease Diagnosis in Emergency Care
WACV 2026
EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models
AACL 2025
Planning with Diffusion Models for Target-Oriented Dialogue Systems
ACL 2025
GeLLM³O: Generalizing Large Language Models for Multi-property Molecule Optimization
ACL 2025
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
ICLR 2025
EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models
IJCNLP 2025
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search
NAACL 2025
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
NAACL 2025
Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving
NAACL 2025
LIDDIA: Language-based Intelligent Drug Discovery Agent
EMNLP 2025
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
EMNLP 2025
Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization
EMNLP 2025
Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data
AACL 2025
Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data
IJCNLP 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