Shengnan Guo
16 papers · 2019–2026 · 5 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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🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🤝 Dynamic Duo (16)
🏆
Keyword Champion
(3)
🧭
Keyword Pioneer
🤝
Dynamic Duo
(16)
🗃️
Keyword Collector
(102)
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(12)
Machine Learning
(12)
Data Science & Analytics
(10)
Applications
(9)
Artificial Intelligence
(7)
Core Methods
(7)
Learning Types · Deep Learning
(6)
Application Areas
(5)
Learning Types · Machine Learning
(5)
Architectures
(4)
Core AI
(4)
Learning Paradigms
(4)
Models
(4)
Methods
(3)
Optimization & Theory
(3)
Keywords
spatio-temporal data
(3)
spatial-temporal graph
(2)
human mobility
(2)
large language model
(2)
representation learning
(2)
check-in sequence
(2)
mixture of expert
(2)
spatial-temporal correlation
(2)
reinforcement learning
(2)
few-shot learning
(1)
expectation maximization
(1)
attention mechanism
(1)
trajectory prediction
(1)
temporal encoding
(1)
zero-shot learning
(1)
uncertainty quantification
(1)
information transmission
(1)
domain adaptation
(1)
time series forecasting
(1)
task generalization
(1)
Papers
Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
AAAI 2026
STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation
ACL 2026
Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning
IJCAI 2025
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
AAAI 2025
HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
ICLR 2025
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
AAAI 2025
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
IJCAI 2025
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
NeurIPS 2024
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models
NeurIPS 2024
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning
AAAI 2023
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution
AAAI 2023
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting
NeurIPS 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