Shengnan Guo
16 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (3)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(39)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(14)
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(14)
ποΈ
Keyword Collector
(93)
Conferences
AAAI (9)
NIPS (3)
IJCAI (2)
ACL (1)
ICLR (1)
Top co-authors
Keywords
spatio-temporal datum
(3)
spatial-temporal correlation
(2)
large language model
(2)
human mobility
(2)
representation learning
(2)
spatial-temporal graph
(2)
reinforcement learning
(2)
check-in sequence
(2)
few-shot learning
(1)
attention mechanism
(1)
zero-shot learning
(1)
expectation maximization
(1)
trajectory prediction
(1)
temporal encoding
(1)
uncertainty quantification
(1)
posterior approximation
(1)
domain adaptation
(1)
information transmission
(1)
time series forecasting
(1)
transfer learning
(1)
Papers
STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation
ACL 2026
Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
AAAI 2026
HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
ICLR 2025
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
IJCAI 2025
Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning
IJCAI 2025
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
AAAI 2025
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
AAAI 2025
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models
NIPS 2024
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
NIPS 2024
GMDNet: A Graph-Based Mixture Density Network for Estimating Packagesβ Multimodal Travel Time Distribution
AAAI 2023
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning
AAAI 2023
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting
NIPS 2023
GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting
AAAI 2021
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction
AAAI 2021
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
AAAI 2020
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
AAAI 2019