Kun Wang · National University of Singapore

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Works45 from public data

TitleCited by

Anaerobic digestion of food waste for volatile fatty acids (VFAs) production with different types of inoculum: Effect of pH
Bioresource Technology · 2014
616
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
arXiv · 2024
156
A Survey on Trustworthy LLM Agents: Threats and Countermeasures
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2025
137
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
arXiv · 2023
110
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
Proceedings of the AAAI Conference on Artificial Intelligence · 2024
74
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2023
61
AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management
arXiv · 2025
49
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
42
EXGC: Bridging Efficiency and Explainability in Graph Condensation
ACM Web Conference (WWW) · 2024
40
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023
40
Enhancing traffic signal control with composite deep intelligence
Expert Systems with Applications · 2023
35
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
arXiv · 2023
35
On Regularization for Explaining Graph Neural Networks: An Information Theory Perspective
IEEE Transactions on Knowledge and Data Engineering · 2024
31
A transient model for the thermal inertia of chilled-water systems during demand response
Energy and Buildings · 2017
31
Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts
IEEE Transactions on Knowledge and Data Engineering · 2024
20
Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects
IEEE Intelligent Systems · 2026
19
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2024
17
A clean and efficient utilization of fly ash with a focus on the strengthening decomposition mechanism of mullite
Fuel · 2022
17
Physics-aware parameter diffusion for spatio-temporal continuum field modeling for governance
Neurocomputing · 2025
16
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
arXiv · 2024
16
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
arXiv · 2024
15
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2025
14
SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
arXiv · 2025
13
MasRouter: Learning to Route LLMs for Multi-Agent Systems
Annual Meeting of the Association for Computational Linguistics (ACL) · 2025
12
A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction
IEEE Transactions on Knowledge and Data Engineering · 2022
12

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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