Keli Zhang
9 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (4) π Academic Marathon (5) π Renaissance Researcher (7) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(18)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Pioneer
Conferences
AAAI (3)
IJCAI (3)
MICCAI (2)
COLING (1)
Top co-authors
Keywords
large language model
(3)
granger causality
(2)
causal discovery
(2)
causal structure
(2)
causal inference
(2)
in-context learning
(1)
deep learning
(1)
time series
(1)
sparse optimization
(1)
poisson process
(1)
temporal dependencies
(1)
amortized inference
(1)
generative model
(1)
missing data imputation
(1)
structural causal model
(1)
sparse attention
(1)
auto-regressive model
(1)
causal intervention
(1)
causal graph
(1)
event sequence
(1)
Papers
CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge
AAAI 2026
Dr.ECI: Infusing Large Language Models with Causal Knowledge for Decomposed Reasoning in Event Causality Identification
COLING 2025
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
IJCAI 2025
Deep Learning for Multivariate Time Series Imputation: A Survey
IJCAI 2025
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
AAAI 2024
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
MICCAI 2024
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
MICCAI 2024
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
IJCAI 2023
Time Series Domain Adaptation via Sparse Associative Structure Alignment
AAAI 2021