Kunpeng Zhang
22 papers · 2013–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (6)
π
Cross-Pollinator
(6)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(56)
π€
Dynamic Duo
(13)
π
Conference Pioneer
ποΈ
Keyword Collector
(105)
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
π
Century Club
(21)
π
Trend Setter
Conferences
AAAI (13)
IJCAI (5)
ACL (3)
IJCNLP (1)
Top co-authors
Research topics
Keywords
graph neural network
(5)
self-supervised learning
(3)
manifold learning
(2)
representation learning
(2)
probabilistic modeling
(2)
semi-supervised learning
(2)
land deformation
(2)
spatial correlation
(2)
contrastive learning
(2)
uncertainty quantification
(2)
variational autoencoder
(2)
text generation
(1)
social media analysis
(1)
multimodal learning
(1)
variational inference
(1)
reading comprehension
(1)
hypergraph learning
(1)
trajectory modeling
(1)
temporal encoding
(1)
trajectory prediction
(1)
Papers
Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment
AAAI 2026
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract)
AAAI 2024
Explainable Earnings Call Representation Learning (Student Abstract)
AAAI 2024
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract)
AAAI 2023
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract)
AAAI 2023
Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract)
AAAI 2023
Evaluating Reading Comprehension Exercises Generated by LLMs: A Showcase of ChatGPT in Education Applications
ACL 2023
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract)
AAAI 2023
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract)
AAAI 2022
A Probabilistic Framework for Land Deformation Prediction (Student Abstract)
AAAI 2022
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract)
AAAI 2022
Dynamic Manifold Learning for Land Deformation Forecasting
AAAI 2022
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
AAAI 2022
Land Deformation Prediction via Slope-Aware Graph Neural Networks
AAAI 2021
Interpreting Twitter User Geolocation
ACL 2020
Enhancing Urban Flow Maps via Neural ODEs
IJCAI 2020
Trajectory-User Linking via Variational AutoEncoder
IJCAI 2018
Identifying Human Mobility via Trajectory Embeddings
IJCAI 2017
Reducing infrequent-token perplexity via variational corpora
IJCNLP 2015
Reducing infrequent-token perplexity via variational corpora
ACL 2015
Detecting and Tracking Disease Outbreaks by Mining Social Media Data
IJCAI 2013
Forecast Oriented Classification of Spatio-Temporal Extreme Events
IJCAI 2013