2024

Activity-aware human mobility prediction with hierarchical graph attention recurrent network
Activity-aware human mobility prediction with hierarchical graph attention recurrent network

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

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

IEEE Transactions on Intelligent Transportation Systems 2024

[Paper] [Code]

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

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

Under review. 2024

[Paper]

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

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

Under review. 2024

[Paper]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[Paper] [Code]

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

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

[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

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

Tsinghua Science and Technology 2022

[Paper]