List of works - Yong Li

A City-level High-performance Spatio-temporal Mobility Simulation System

scientific article published on 19 December 2023

An AI-based Simulation and Optimization Framework for Logistic Systems

scientific article published on 21 October 2023

Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System

scientific article published on 26 April 2023

Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search

scientific article published on 11 April 2024

Contagion Process Guided Cross-scale Spatio-Temporal Graph Neural Network for Traffic Congestion Prediction

scientific article published on 22 December 2023

Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion

scientific article published on 25 October 2024

Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network

scientific article published in 2022

DAS: Efficient Street View Image Sampling for Urban Prediction

scientific article published on 12 January 2023

DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions

scientific article published on 21 October 2023

Demo: Scalable Digital Twin System for Mobile Networks with Generative AI

scientific article published on 16 June 2023

Denoising Alignment with Large Language Model for Recommendation

scientific article published on 24 September 2024

Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network

scientific article published on 04 August 2023

Disease Simulation in Airport Scenario Based on Individual Mobility Model

scientific article published on 20 May 2023

Dual Graph Convolution Architecture Search for Travel Time Estimation

scientific article published on 26 April 2023

DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation

scientific article published on 25 August 2024

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

scientific article published on 04 August 2023

Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing

scientific article published on 27 October 2023

Enhancing Spatial Spread Prediction of Infectious Diseases through Integrating Multi-scale Human Mobility Dynamics

scientific article published on 22 December 2023

GeoGail: A Model-based Imitation Learning Framework for Human Trajectory Synthesizing

scientific article published on 14 October 2024

Health CLIP: Depression Rate Prediction Using Health Related Features in Satellite and Street View Images

scientific article published on 12 May 2024

Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network

scientific article published on 26 April 2023

Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information

scientific article published on 30 July 2022

History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network

scientific article published on 05 September 2023

KGDA: A Knowledge Graph-based Decomposition Approach for Cellular Traffic Prediction

scientific article published on 29 August 2024

Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation

scientific article published on 12 May 2024

Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction

scientific article published on 26 April 2023

Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network

scientific article published on 25 August 2024

Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns

scientific article published on 04 August 2023

Learning Representations of Satellite Imagery by Leveraging Point-of-Interests

scientific article published on 27 March 2023

Learning from Hierarchical Structure of Knowledge Graph for Recommendation

scientific article published on 11 July 2023

Learning to Simulate Crowd Trajectories with Graph Networks

scientific article published on 26 April 2023

Learning to Simulate Daily Activities via Modeling Dynamic Human Needs

scientific article published on 26 April 2023

MetroGNN: Metro Network Expansion with Reinforcement Learning

scientific article published on 12 May 2024

Mobile User Traffic Generation Via Multi-Scale Hierarchical GAN

scientific article published on 10 May 2024

NEON: Living Needs Prediction System in Meituan

scientific article published on 04 August 2023

Practical Synthetic Human Trajectories Generation Based on Variational Point Processes

scientific article published on 04 August 2023

Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning

scientific article published on 07 December 2023

RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction

scientific article published on 29 August 2024

Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning

scientific article published on 12 May 2024

Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System

scientific article published on 12 May 2024

TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics

scientific article published on 25 August 2024

Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion

scientific article published on 22 December 2023

Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network

scientific article published on 21 October 2023

Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation

scientific article published on 19 July 2023

Understanding Deployment Experience of 5G

scientific article published on 12 May 2024

Urban Knowledge Graph Aided Mobile User Profiling

scientific article published on 03 July 2023

UrbanKG: An Urban Knowledge Graph System

scientific article published on 21 March 2023

You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior

scientific article published on 17 May 2023

List of works by Yong Li

A City-level High-performance Spatio-temporal Mobility Simulation System

An AI-based Simulation and Optimization Framework for Logistic Systems

Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System

Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search

Contagion Process Guided Cross-scale Spatio-Temporal Graph Neural Network for Traffic Congestion Prediction

Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion

Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network

DAS: Efficient Street View Image Sampling for Urban Prediction

DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions

Demo: Scalable Digital Twin System for Mobile Networks with Generative AI

Denoising Alignment with Large Language Model for Recommendation

Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network

Disease Simulation in Airport Scenario Based on Individual Mobility Model

Dual Graph Convolution Architecture Search for Travel Time Estimation

DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing

Enhancing Spatial Spread Prediction of Infectious Diseases through Integrating Multi-scale Human Mobility Dynamics

GeoGail: A Model-based Imitation Learning Framework for Human Trajectory Synthesizing

Health CLIP: Depression Rate Prediction Using Health Related Features in Satellite and Street View Images

Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network

Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information

History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network

KGDA: A Knowledge Graph-based Decomposition Approach for Cellular Traffic Prediction

Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation

Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction

Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network

Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns

Learning Representations of Satellite Imagery by Leveraging Point-of-Interests

Learning from Hierarchical Structure of Knowledge Graph for Recommendation

Learning to Simulate Crowd Trajectories with Graph Networks

Learning to Simulate Daily Activities via Modeling Dynamic Human Needs

MetroGNN: Metro Network Expansion with Reinforcement Learning

Mobile User Traffic Generation Via Multi-Scale Hierarchical GAN

NEON: Living Needs Prediction System in Meituan

Practical Synthetic Human Trajectories Generation Based on Variational Point Processes

Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning

RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction

Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning

Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System

TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics

Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion

Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network

Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation

Understanding Deployment Experience of 5G

Urban Knowledge Graph Aided Mobile User Profiling

UrbanKG: An Urban Knowledge Graph System

You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior