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Zhan Zhao

Assistant Professor

The University of Hong Kong

Hong Kong

Research Interests

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Articles (20)

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2026

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2024

Collaborators (6)

Yang Xu

The Hong Kong Polytechnic University

HONG KONG

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Yuebing Liang

The University of Hong Kong

HONG KONG

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Fangyi Ding

The University of Hong Kong

HONG KONG

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Shiyu Shen

University of Illinois at Urbana-Champaign

UNITED STATES

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Hongmou Zhang

Assistant Professor

Peking University

CHINA

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Jiangbo Yu

Assistant Professor

McGill University

CANADA

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ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Zhan Zhao

Research Interests

Make your next move.

Articles (20)

Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning

Event-aware analysis of cross-city visitor flows using large language models and social media data

Origin-destination flow generation for metro network expansion using spatiotemporal gated graph neural networks

Disentangling metro passenger travel delays under extreme weather events: An analytical framework

Unraveling node, place, and resilience during disasters: Evident from a typhoon in Hong Kong

Assessing the benefits of collaborative ridesharing across transportation network companies

Does e-shopping weaken the link between land use and neighborhood shopping behavior? Evidence from large-scale mobile phone data

Exploring influential factors of fleet and parking management in shared autonomous vehicle systems: An agent-based simulation framework

Adaptive Fusion of Decomposed Traffic Components: A Heterogenized Spatio-Temporal Attention for Traffic Forecasting

Just-In-Time Deliveries: Managing Uncertain Target Arrival Times with Adaptive Routing

Large-scale electric bus network transition planning via deep reinforcement learning

Causal Graph Discovery for Urban Bus Operation Delays: A Case Study in Stockholm

Unraveling the network effects in station ridership growth patterns under metro network expansion

Activity-Aware Human Mobility Prediction With Hierarchical Graph Attention Recurrent Network

RouteKG: A Knowledge Graph-Based Framework for Route Prediction on Road Networks

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning

Trajectory Prediction and Risk Assessment in Car-Following Scenarios Using a Noise-Enhanced Generative Adversarial Network

Generating sparse origin–destination flows on shared mobility networks using probabilistic graph neural networks

ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning

STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction

Collaborators (6)

Yang Xu

Yuebing Liang

Fangyi Ding

Shiyu Shen

Hongmou Zhang

Jiangbo Yu

Make your next move.