Huaiyu Wan

26 papers · 2019–2026 · 9 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 (65) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🤝 Dynamic Duo (21) 🌈 Renaissance Researcher (7) ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 🗃️ Keyword Collector (151)

Venues

AAAI (12) NeurIPS (4) ACL (2) EMNLP (2) IJCAI (2) ACML (1) COLING (1) CoNLL (1) ICLR (1)

Top co-authors

Youfang Lin (21) Shengnan Guo (16) Wei Chen (7) Yan Lin (7) Xiaowei Mao (5) Junfeng Shen (4) Mengqi Liao (4) Zhiyu Zhang (3) Shuyuan Zhao (3) Haomin Wen (3)

Research topics

Machine Learning (21) Deep Learning (19) Artificial Intelligence (13) Data Science & Analytics (12) Core Methods (11) Learning Types · Machine Learning (11) Applications (10) Core AI (9) Learning Types · Deep Learning (9) Architectures (8) Application Areas (7) Learning Paradigms (5) Models (5) Knowledge & Reasoning (4) Methods (4)

Keywords

graph neural network (4) spatio-temporal data (3) knowledge graph (3) reinforcement learning (3) large language model (3) temporal knowledge graph (3) representation learning (2) human mobility (2) spatial-temporal graph (2) pre-trained language model (2) mixture of expert (2) graph convolutional network (2) diffusion model (2) knowledge graph reasoning (2) information extraction (2) time series forecasting (2) zero-shot learning (2) recurrent neural network (2) long-range forecasting (2) spatial-temporal correlation (2)

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 A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning ACL 2025 Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning IJCAI 2025 CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework AAAI 2025 DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation AAAI 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 Spatial-Temporal Knowledge Distillation for Takeaway Recommendation AAAI 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 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 NeurIPS 2024 PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting 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 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 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 Exploiting the Entity Type Sequence to Benefit Event Detection CoNLL 2019 Improving Relation Classification by Entity Pair Graph ACML 2019