Huaiyu Wan
26 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Academic Marathon (6) π Conference Polyglot (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (8)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(68)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(19)
π
Keyword Champion
(3)
β‘
Prolific Year
(9)
π
Conference Pioneer
π
Century Club
(23)
ποΈ
Keyword Collector
(143)
Conferences
AAAI (12)
NIPS (4)
ACL (2)
EMNLP (2)
IJCAI (2)
ACML (1)
COLING (1)
CONLL (1)
ICLR (1)
Top co-authors
Keywords
graph neural network
(4)
reinforcement learning
(3)
spatio-temporal datum
(3)
large language model
(3)
knowledge graph
(3)
temporal knowledge graph
(3)
spatial-temporal correlation
(2)
check-in sequence
(2)
pretrained language model
(2)
long-range forecasting
(2)
graph convolutional network
(2)
recurrent neural network
(2)
representation learning
(2)
spatial-temporal graph
(2)
time series forecasting
(2)
knowledge graph reasoning
(2)
zero-shot learning
(2)
diffusion model
(2)
human mobility
(2)
domain adaptation
(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
Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution
AAAI 2026
CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
AAAI 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
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
AAAI 2025
A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
ACL 2025
Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs
EMNLP 2025
HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
ICLR 2025
Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning
IJCAI 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
NIPS 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
NIPS 2024
KPatch: Knowledge Patch to Pre-trained Language Model for Zero-Shot Stance Detection on Social Media
COLING 2024
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models
NIPS 2024
GMDNet: A Graph-Based Mixture Density Network for Estimating Packagesβ Multimodal Travel Time Distribution
AAAI 2023
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction
EMNLP 2023
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting
NIPS 2023
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning
AAAI 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
Exploiting the Entity Type Sequence to Benefit Event Detection
CONLL 2019
Improving Relation Classification by Entity Pair Graph
ACML 2019