2026

Digital visibility, physical obscurity: Uncovering the location strategies of ghost kitchens in platform urbanism
Digital visibility, physical obscurity: Uncovering the location strategies of ghost kitchens in platform urbanism

Weipeng Deng, Yihong Tang, Yaxin Liu, Tianren Yang

Journal of Retailing and Consumer Services 2026

Digital visibility, physical obscurity: Uncovering the location strategies of ghost kitchens in platform urbanism
Digital visibility, physical obscurity: Uncovering the location strategies of ghost kitchens in platform urbanism

Weipeng Deng, Yihong Tang, Yaxin Liu, Tianren Yang

Journal of Retailing and Consumer Services 2026

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
Autonomous Driving

Yihong Tang*, Haicheng Liao*, Tong Nie, Junlin He, Ao Qu, Kehua Chen, Wei Ma, Zhenning Li#, Lijun Sun#, Chengzhong Xu# (* equal contribution, # corresponding author)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
Autonomous Driving

Yihong Tang*, Haicheng Liao*, Tong Nie, Junlin He, Ao Qu, Kehua Chen, Wei Ma, Zhenning Li#, Lijun Sun#, Chengzhong Xu# (* equal contribution, # corresponding author)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

Think Before You Drive: World Model-Inspired Multimodal Grounding
Think Before You Drive: World Model-Inspired Multimodal Grounding
Autonomous Driving

Haicheng Liao*, Huanming Shen*, Bonan Wang, Yongkang Li, Yihong Tang, Chengyue Wang, Dingyi Zhuang, Kehua Chen, Hai Yang, Chengzhong Xu#, Zhenning Li# (* equal contribution, # corresponding author)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

Think Before You Drive: World Model-Inspired Multimodal Grounding
Think Before You Drive: World Model-Inspired Multimodal Grounding
Autonomous Driving

Haicheng Liao*, Huanming Shen*, Bonan Wang, Yongkang Li, Yihong Tang, Chengyue Wang, Dingyi Zhuang, Kehua Chen, Hai Yang, Chengzhong Xu#, Zhenning Li# (* equal contribution, # corresponding author)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

Steerable adversarial scenario generation through test-time preference alignment
Steerable adversarial scenario generation through test-time preference alignment
Autonomous Driving

Tong Nie*, Yuewen Mei*, Yihong Tang, Junlin He, Jie Sun, Haotian Shi, Wei Ma#, Jian Sun# (* equal contribution, # corresponding author)

International Conference on Learning Representations (ICLR) 2026

Steerable adversarial scenario generation through test-time preference alignment
Steerable adversarial scenario generation through test-time preference alignment
Autonomous Driving

Tong Nie*, Yuewen Mei*, Yihong Tang, Junlin He, Jie Sun, Haotian Shi, Wei Ma#, Jian Sun# (* equal contribution, # corresponding author)

International Conference on Learning Representations (ICLR) 2026

LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models
LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models
Human-centered Modeling LLM for Urban Science Spatial-Temporal

Yihong Tang, Menglin Kong, Junlin He, Tong Nie, Wei Ma, Lijun Sun# (# corresponding author)

Under review. 2026

LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models
LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models
Human-centered Modeling LLM for Urban Science Spatial-Temporal

Yihong Tang, Menglin Kong, Junlin He, Tong Nie, Wei Ma, Lijun Sun# (# corresponding author)

Under review. 2026

LLM4GKID: A Multimodal Large Language Model-driven Framework for Ghost Kitchen Identification
LLM4GKID: A Multimodal Large Language Model-driven Framework for Ghost Kitchen Identification
LLM for Urban Science

Weipeng Deng*, Yihong Tang*, Chaofan Wang, Tianren Yang# (* equal contribution, # corresponding author)

IEEE Transactions on Computational Social Systems 2026

LLM4GKID: A Multimodal Large Language Model-driven Framework for Ghost Kitchen Identification
LLM4GKID: A Multimodal Large Language Model-driven Framework for Ghost Kitchen Identification
LLM for Urban Science

Weipeng Deng*, Yihong Tang*, Chaofan Wang, Tianren Yang# (* equal contribution, # corresponding author)

IEEE Transactions on Computational Social Systems 2026

Evaluating age-friendly public transportation: a novel smart card data approach analyzing travel time differences between older and younger travelers after controlling for confounding effects
Evaluating age-friendly public transportation: a novel smart card data approach analyzing travel time differences between older and younger travelers after controlling for confounding effects
Multimodal Transportation

Shuyu Lei, Mingzhi Zhou, Weipeng Deng, Yihong Tang, Jiangping Zhou# (# corresponding author)

Transportation Research Part A: Policy and Practice 2026

Evaluating age-friendly public transportation: a novel smart card data approach analyzing travel time differences between older and younger travelers after controlling for confounding effects
Evaluating age-friendly public transportation: a novel smart card data approach analyzing travel time differences between older and younger travelers after controlling for confounding effects
Multimodal Transportation

Shuyu Lei, Mingzhi Zhou, Weipeng Deng, Yihong Tang, Jiangping Zhou# (# corresponding author)

Transportation Research Part A: Policy and Practice 2026

INTENT: Trajectory prediction framework with intention-guided contrastive clustering
INTENT: Trajectory prediction framework with intention-guided contrastive clustering
Autonomous Driving

Yihong Tang, Wei Ma# (# corresponding author)

IEEE Open Journal of Intelligent Transportation Systems 2026

INTENT: Trajectory prediction framework with intention-guided contrastive clustering
INTENT: Trajectory prediction framework with intention-guided contrastive clustering
Autonomous Driving

Yihong Tang, Wei Ma# (# corresponding author)

IEEE Open Journal of Intelligent Transportation Systems 2026

2025

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 Spatial-Temporal

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

IEEE Transactions on Intelligent Transportation Systems 2025

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 Spatial-Temporal

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

IEEE Transactions on Intelligent Transportation Systems 2025

A Survey on Vision-Language-Action Models for Autonomous Driving
A Survey on Vision-Language-Action Models for Autonomous Driving
Autonomous Driving

Sicong Jiang*, Zilin Huang*, Kangan Qian*, Ziang Luo, Tianze Zhu, Yang Zhong, Yihong Tang, Menglin Kong, Yunlong Wang, Siwen Jiao, Hao Ye, Zihao Sheng, Xin Zhao, Tuopu Wen, Zheng Fu, Sikai Chen, Kun Jiang, Diange Yang, Seongjin Choi, Lijun Sun (* equal contribution)

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops 2025

A Survey on Vision-Language-Action Models for Autonomous Driving
A Survey on Vision-Language-Action Models for Autonomous Driving
Autonomous Driving

Sicong Jiang*, Zilin Huang*, Kangan Qian*, Ziang Luo, Tianze Zhu, Yang Zhong, Yihong Tang, Menglin Kong, Yunlong Wang, Siwen Jiao, Hao Ye, Zihao Sheng, Xin Zhao, Tuopu Wen, Zheng Fu, Sikai Chen, Kun Jiang, Diange Yang, Seongjin Choi, Lijun Sun (* equal contribution)

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops 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)

Findings of Empirical Methods in Natural Language Processing (EMNLP) 2025 & IJCAI MKLM 2025 Best Paper Award

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)

Findings of Empirical Methods in Natural Language Processing (EMNLP) 2025 & IJCAI MKLM 2025 Best Paper Award

RoadPowerFM: Graphormer-JEPA based Foundation Model for Road-Power Coupling Network
RoadPowerFM: Graphormer-JEPA based Foundation Model for Road-Power Coupling Network
Spatial-Temporal

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

IEEE Transactions on Smart Grid 2025

RoadPowerFM: Graphormer-JEPA based Foundation Model for Road-Power Coupling Network
RoadPowerFM: Graphormer-JEPA based Foundation Model for Road-Power Coupling Network
Spatial-Temporal

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

IEEE Transactions on Smart Grid 2025

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

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

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

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

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)

Under review. 2025

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)

Under review. 2025

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 Spatial-Temporal

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

IEEE Transactions on Intelligent Transportation Systems 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 Spatial-Temporal

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

IEEE Transactions on Intelligent Transportation Systems 2024

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 Spatial-Temporal

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

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 Spatial-Temporal

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

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

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

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 Spatial-Temporal

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

Information Fusion 2024

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 Spatial-Temporal

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

Information Fusion 2024

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

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

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

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

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 Spatial-Temporal

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

IEEE Transactions on Intelligent Transportation Systems 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 Spatial-Temporal

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

IEEE Transactions on Intelligent Transportation Systems 2022

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 Spatial-Temporal

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

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 Spatial-Temporal

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

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

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