Nitesh V. Chawla
26 papers · 2004–2026 · 5 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 ↓+14 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (57) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π¬
Deep Specialist
(10)
π€
Dynamic Duo
(11)
π
Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
π
Keyword Champion
π§
Keyword Pioneer
β‘
Prolific Year Β· Productive
π
Trend Setter
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
π
Conference Pioneer
π
Renaissance Researcher
(8)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(137)
Venues
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(14)
Deep Learning
(14)
Core Methods
(14)
Architectures
(11)
Core AI
(11)
Learning Types Β· Deep Learning
(8)
Natural Language Processing
(7)
Data Science & Analytics
(6)
Learning Types Β· Machine Learning
(6)
Applications Β· Natural Language Processing
(5)
Learning Paradigms
(5)
Application Areas
(4)
Applications Β· Data Science & Analytics
(4)
Healthcare & Medicine
(2)
Keywords
graph neural network
(11)
few-shot learning
(4)
large language model
(4)
graph representation
(3)
node classification
(3)
link prediction
(3)
graph representation learning
(3)
text classification
(2)
retrieval-augmented generation
(2)
unsupervised learning
(2)
heterogeneous graph
(2)
graph classification
(2)
question answering
(2)
foundation model
(2)
scalable learning
(1)
feature learning
(1)
sentiment analysis
(1)
ensemble learning
(1)
adversarial learning
(1)
representation learning
(1)
Papers
Continuous Context Sampling Allows Extending Diversity Boundaries of Large Language Models
ACL 2026
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
IJCAI 2025
Fast Explanations via Policy Gradient-Optimized Explainer
IJCAI 2025
Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities
IJCAI 2025
What is Behind Homelessness Bias? Using LLMs and NLP to Mitigate Homelessness by Acting on Social Stigma
IJCAI 2025
Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
NeurIPS 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary
NeurIPS 2024
Graph Neural Prompting with Large Language Models
AAAI 2024
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
NeurIPS 2024
Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint)
AAAI 2024
Large Language Model Based Multi-agents: A Survey of Progress and Challenges
IJCAI 2024
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
NeurIPS 2024
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
AAAI 2023
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator
AAAI 2023
Graph-based Molecular Representation Learning
IJCAI 2023
Heterogeneous Graph Masked Autoencoders
AAAI 2023
Few-Shot Learning on Graphs
IJCAI 2022
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
IJCAI 2022
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
IJCAI 2022
Few-Shot Knowledge Graph Completion
AAAI 2020
Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network
AAAI 2020
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
AAAI 2019
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
IJCAI 2018
LPmade: Link Prediction Made Easy
JMLR 2011
Model Monitor (M2): Evaluating, Comparing, and Monitoring Models
JMLR 2009
Learning Ensembles from Bites: A Scalable and Accurate Approach
JMLR 2004