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Kunpeng Zhang

21 papers · 2013–2026 · 3 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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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (50) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (14) πŸ† Keyword Champion (2) 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (105)

Venues

AAAI (13) IJCAI (5) ACL (3)

Top co-authors

Fan Zhou (14) Ting Zhong (12) Goce Trajcevski (9) Qiang Gao (5) Zhiyuan Wang (4) Ankit Agrawal (3) Yu Cheng (3) Yusheng Xie (3) Rongfan Li (3) Alok Choudhary (3)

Research topics

Machine Learning (15) Deep Learning (13) Core Methods (12) Artificial Intelligence (8) Data Science & Analytics (7) Architectures (7) Learning Types Β· Machine Learning (7) Core AI (6) Learning Types Β· Deep Learning (6) Application Areas (5) Methods (4) Models (4) Computer Vision (3) Applications (3) Bayesian & Probabilistic (2)

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 Explainable Earnings Call Representation Learning (Student Abstract) AAAI 2024 THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract) AAAI 2024 DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract) AAAI 2023 Evaluating Reading Comprehension Exercises Generated by LLMs: A Showcase of ChatGPT in Education Applications ACL 2023 Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract) AAAI 2023 Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract) AAAI 2023 Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract) AAAI 2023 A Probabilistic Framework for Land Deformation Prediction (Student Abstract) AAAI 2022 Dynamic Manifold Learning for Land Deformation Forecasting AAAI 2022 Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract) AAAI 2022 Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract) 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 Enhancing Urban Flow Maps via Neural ODEs IJCAI 2020 Interpreting Twitter User Geolocation ACL 2020 Trajectory-User Linking via Variational AutoEncoder IJCAI 2018 Identifying Human Mobility via Trajectory Embeddings IJCAI 2017 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