2025

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning
Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning
LLM for Urban Science

Yihong Tang*, Ao Qu*#, Zhaokai Wang*, Dingyi Zhuang*, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao (* equal contribution, # corresponding author)

IJCAI MKLM 2025

[Paper]

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning
Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning
LLM for Urban Science

Yihong Tang*, Ao Qu*#, Zhaokai Wang*, Dingyi Zhuang*, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao (* equal contribution, # corresponding author)

IJCAI MKLM 2025

[Paper]

RoadPowerFM: Graphormer-JEPA based Foundation Model for Road-Power Coupling Network
RoadPowerFM: Graphormer-JEPA based Foundation Model for Road-Power Coupling Network
Spatio-temporal Modeling

Zeyuan Niu*, Yihong Tang*#, Jiamei Li, Qian Ai, Xing He (* equal contribution, # corresponding author)

IEEE Transactions on Smart Grid 2025

[Paper]

RoadPowerFM: Graphormer-JEPA based Foundation Model for Road-Power Coupling Network
RoadPowerFM: Graphormer-JEPA based Foundation Model for Road-Power Coupling Network
Spatio-temporal Modeling

Zeyuan Niu*, Yihong Tang*#, Jiamei Li, Qian Ai, Xing He (* equal contribution, # corresponding author)

IEEE Transactions on Smart Grid 2025

[Paper]

Vision-to-Music Generation: A Survey
Vision-to-Music Generation: A Survey

Zhaokai Wang, Chenxi Bao, Le Zhuo, Jingrui Han, Yang Yue, Yihong Tang, Victor Shea-Jay Huang, Yue Liao

26th International Society for Music Information Retrieval Conference (ISMIR) 2025

[Paper] [Code]

Vision-to-Music Generation: A Survey
Vision-to-Music Generation: A Survey

Zhaokai Wang, Chenxi Bao, Le Zhuo, Jingrui Han, Yang Yue, Yihong Tang, Victor Shea-Jay Huang, Yue Liao

26th International Society for Music Information Retrieval Conference (ISMIR) 2025

[Paper] [Code]

From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models
From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models
LLM for Urban Science Multimodal Transportation

Yihong Tang, Ao Qu, Xujing Yu, Weipeng Deng, Jun Ma, Jinhua Zhao, Lijun Sun# (# corresponding author)

Under review. 2025

[Paper]

From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models
From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models
LLM for Urban Science Multimodal Transportation

Yihong Tang, Ao Qu, Xujing Yu, Weipeng Deng, Jun Ma, Jinhua Zhao, Lijun Sun# (# corresponding author)

Under review. 2025

[Paper]

Large Language Models for Data Synthesis
Large Language Models for Data Synthesis
Human-centered Modeling LLM for Urban Science Spatio-temporal Modeling

Yihong Tang, Menglin Kong, Lijun Sun# (# corresponding author)

Under review. 2025

[Paper] [Code] [Project] [WeChat Official Accounts Report (Chinese)]

Large Language Models for Data Synthesis
Large Language Models for Data Synthesis
Human-centered Modeling LLM for Urban Science Spatio-temporal Modeling

Yihong Tang, Menglin Kong, Lijun Sun# (# corresponding author)

Under review. 2025

[Paper] [Code] [Project] [WeChat Official Accounts Report (Chinese)]

Reimagining urban science: Scaling causal inference with large language models
Reimagining urban science: Scaling causal inference with large language models
LLM for Urban Science

Yutong Xia*, Ao Qu*, Yunhan Zheng, Yihong Tang, Dingyi Zhuang, Yuxuan Liang, Shenhao Wang, Cathy Wu, Lijun Sun, Roger Zimmermann, Jinhua Zhao# (* equal contribution, # corresponding author)

Submitted to Nature Human Behaviour 2025

[Paper]

Reimagining urban science: Scaling causal inference with large language models
Reimagining urban science: Scaling causal inference with large language models
LLM for Urban Science

Yutong Xia*, Ao Qu*, Yunhan Zheng, Yihong Tang, Dingyi Zhuang, Yuxuan Liang, Shenhao Wang, Cathy Wu, Lijun Sun, Roger Zimmermann, Jinhua Zhao# (* equal contribution, # corresponding author)

Submitted to Nature Human Behaviour 2025

[Paper]

INTENT: Trajectory prediction framework with intention-guided contrastive clustering
INTENT: Trajectory prediction framework with intention-guided contrastive clustering
Human-centered Modeling Multimodal Transportation Spatio-temporal Modeling

Yihong Tang, Wei Ma# (# corresponding author)

Under review. 2025

[Paper]

INTENT: Trajectory prediction framework with intention-guided contrastive clustering
INTENT: Trajectory prediction framework with intention-guided contrastive clustering
Human-centered Modeling Multimodal Transportation Spatio-temporal Modeling

Yihong Tang, Wei Ma# (# corresponding author)

Under review. 2025

[Paper]

2024

Activity-aware human mobility prediction with hierarchical graph attention recurrent network
Activity-aware human mobility prediction with hierarchical graph attention recurrent network
Human-centered Modeling Multimodal Transportation Spatio-temporal Modeling

Yihong Tang*, Junlin He*, Zhan Zhao# (* equal contribution, # corresponding author)

IEEE Transactions on Intelligent Transportation Systems 2024

[Paper] [Code]

Activity-aware human mobility prediction with hierarchical graph attention recurrent network
Activity-aware human mobility prediction with hierarchical graph attention recurrent network
Human-centered Modeling Multimodal Transportation Spatio-temporal Modeling

Yihong Tang*, Junlin He*, Zhan Zhao# (* equal contribution, # corresponding author)

IEEE Transactions on Intelligent Transportation Systems 2024

[Paper] [Code]

ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
Human-centered Modeling LLM for Urban Science Multimodal Transportation Spatio-temporal Modeling

Yihong Tang*, Zhaokai Wang*, Ao Qu*, Yihao Yan*, Zhaofeng Wu, Dingyi Zhuang, Jushi Kai, Kebing Hou, Xiaotong Guo, Jinhua Zhao#, Zhan Zhao#, Wei Ma# (* equal contribution, # corresponding author)

Empirical Methods in Natural Language Processing (EMNLP) 2024 Industry Track & KDD UrbComp 2024 Best Paper Award

[Paper] [Code] [Poster] [Best Paper Award] [WeChat Official Accounts Report (Chinese)]

ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
Human-centered Modeling LLM for Urban Science Multimodal Transportation Spatio-temporal Modeling

Yihong Tang*, Zhaokai Wang*, Ao Qu*, Yihao Yan*, Zhaofeng Wu, Dingyi Zhuang, Jushi Kai, Kebing Hou, Xiaotong Guo, Jinhua Zhao#, Zhan Zhao#, Wei Ma# (* equal contribution, # corresponding author)

Empirical Methods in Natural Language Processing (EMNLP) 2024 Industry Track & KDD UrbComp 2024 Best Paper Award

[Paper] [Code] [Poster] [Best Paper Award] [WeChat Official Accounts Report (Chinese)]

High and Low Resolution Tradeoffs in Roadside Multimodal Sensing
High and Low Resolution Tradeoffs in Roadside Multimodal Sensing
Multimodal Transportation

Shaozu Ding*, Yihong Tang*, Marco De Vincenzi, Dajiang Suo# (* equal contribution, # corresponding author)

Under review. 2024

[Paper] [Code]

High and Low Resolution Tradeoffs in Roadside Multimodal Sensing
High and Low Resolution Tradeoffs in Roadside Multimodal Sensing
Multimodal Transportation

Shaozu Ding*, Yihong Tang*, Marco De Vincenzi, Dajiang Suo# (* equal contribution, # corresponding author)

Under review. 2024

[Paper] [Code]

Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network
Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network
Multimodal Transportation Spatio-temporal Modeling

Yuebing Liang, Zhan Zhao#, Fangyi Ding, Yihong Tang, Zhengbing He (# corresponding author)

Information Fusion 2024

[Paper]

Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network
Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network
Multimodal Transportation Spatio-temporal Modeling

Yuebing Liang, Zhan Zhao#, Fangyi Ding, Yihong Tang, Zhengbing He (# corresponding author)

Information Fusion 2024

[Paper]

Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning
Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning
Multimodal Transportation

Xujing Yu, Jun Ma#, Yihong Tang, Tianren Yang, Feifeng Jiang (# corresponding author)

Accident Analysis & Prevention 2024

[Paper]

Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning
Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning
Multimodal Transportation

Xujing Yu, Jun Ma#, Yihong Tang, Tianren Yang, Feifeng Jiang (# corresponding author)

Accident Analysis & Prevention 2024

[Paper]

2023

Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles
Multimodal Transportation

Ao Qu, Yihong Tang, Wei Ma# (# corresponding author)

ACM Transactions on Intelligent Systems and Technology 2023

[Paper] [Arxiv]

Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles
Multimodal Transportation

Ao Qu, Yihong Tang, Wei Ma# (# corresponding author)

ACM Transactions on Intelligent Systems and Technology 2023

[Paper] [Arxiv]

RouteKG: A knowledge graph-based framework for route prediction on road networks
RouteKG: A knowledge graph-based framework for route prediction on road networks
Human-centered Modeling Spatio-temporal Modeling

Yihong Tang, Zhan Zhao#, Weipeng Deng, Shuyu Lei, Yuebing Liang, Zhanliang Ma (# corresponding author)

Under review. 2023

[Paper]

RouteKG: A knowledge graph-based framework for route prediction on road networks
RouteKG: A knowledge graph-based framework for route prediction on road networks
Human-centered Modeling Spatio-temporal Modeling

Yihong Tang, Zhan Zhao#, Weipeng Deng, Shuyu Lei, Yuebing Liang, Zhanliang Ma (# corresponding author)

Under review. 2023

[Paper]

2022

Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases
Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases
Multimodal Transportation Spatio-temporal Modeling

Mingxi Li, Yihong Tang, Wei Ma# (# corresponding author)

IEEE Transactions on Intelligent Transportation Systems 2022

[Paper] [Arxiv] [Code]

Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases
Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases
Multimodal Transportation Spatio-temporal Modeling

Mingxi Li, Yihong Tang, Wei Ma# (# corresponding author)

IEEE Transactions on Intelligent Transportation Systems 2022

[Paper] [Arxiv] [Code]

Domain adversarial spatial-temporal network: A transferable framework for short-term traffic forecasting across cities
Domain adversarial spatial-temporal network: A transferable framework for short-term traffic forecasting across cities
Multimodal Transportation Spatio-temporal Modeling

Yihong Tang*, Ao Qu*, Andy HF Chow, William HK Lam, S.C. Wong, Wei Ma*# (* equal contribution, # corresponding author)

Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM) 2022 Oral Presentation NSF Award

[Paper] [Code]

Domain adversarial spatial-temporal network: A transferable framework for short-term traffic forecasting across cities
Domain adversarial spatial-temporal network: A transferable framework for short-term traffic forecasting across cities
Multimodal Transportation Spatio-temporal Modeling

Yihong Tang*, Ao Qu*, Andy HF Chow, William HK Lam, S.C. Wong, Wei Ma*# (* equal contribution, # corresponding author)

Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM) 2022 Oral Presentation NSF Award

[Paper] [Code]

Protein residue contact prediction based on deep learning and massive statistical features from multi-sequence alignment
Protein residue contact prediction based on deep learning and massive statistical features from multi-sequence alignment

Huiling Zhang, Min Hao, Hao Wu, Hing-Fung Ting, Yihong Tang, Wenhui Xi, Yanjie Wei# (# corresponding author)

Tsinghua Science and Technology 2022

[Paper]

Protein residue contact prediction based on deep learning and massive statistical features from multi-sequence alignment
Protein residue contact prediction based on deep learning and massive statistical features from multi-sequence alignment

Huiling Zhang, Min Hao, Hao Wu, Hing-Fung Ting, Yihong Tang, Wenhui Xi, Yanjie Wei# (# corresponding author)

Tsinghua Science and Technology 2022

[Paper]