Yihong Tang

According to our database, Yihong Tang authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Inf. Fusion, 2024

RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing Systems.

Yihong Tang, Bo Wang, Xu Wang, Dongming Zhao, Jing Liu, Jijun Zhang, Ruifang He, Yuexian Hou

CoRR, 2024

ERABAL: Enhancing Role-Playing Agents through Boundary-Aware Learning.

Yihong Tang, Jiao Ou, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai

CoRR, 2024

MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space.

Yihong Tang, Bo Wang, Dongming Zhao, Xiaojia Jin, Jijun Zhang, Ruifang He, Yuexian Hou

CoRR, 2024

Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning.

Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Kebing Hou, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma

CoRR, 2024

Enhancing Semi-Dense Feature Matching Through Probabilistic Modeling of Cascaded Supervision and Consistency.

Hongchang Min, Yihong Tang, Qiankun Li, Zengfu Wang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.

Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, Kun Gai

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

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

Ao Qu, Yihong Tang, Wei Ma

ACM Trans. Intell. Syst. Technol., December, 2023

Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases.

Mingxi Li, Yihong Tang, Wei Ma

IEEE Trans. Intell. Transp. Syst., February, 2023

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.

Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, Zhongyuan Wang, Kun Gai

CoRR, 2023

RouteKG: A knowledge graph-based framework for route prediction on road networks.

Yihong Tang, Weipeng Deng, Shuyu Lei, Yuebing Liang, Zhenliang Ma, Zhan Zhao

CoRR, 2023

Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona.

Yihong Tang, Bo Wang, Miao Fang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

HGARN: Hierarchical Graph Attention Recurrent Network for Human Mobility Prediction.

Yihong Tang, Junlin He, Zhan Zhao

CoRR, 2022

Few-Shot Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases.

Mingxi Li, Yihong Tang, Wei Ma

CoRR, 2022

Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities.

Yihong Tang, Ao Qu, Andy H. F. Chow, William H. K. Lam, Sze Chun Wong, Wei Ma

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles.

Ao Qu, Yihong Tang, Wei Ma

CoRR, 2021

Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks.

Shaohui Du, Zhenghan Chen, Haoyan Wu, Yihong Tang, YuanQing Li

Complex., 2021

2019

A novel privacy- and integrity-preserving approach for multidimensional data range queries in two-tiered wireless sensor networks.

Lei Wang, Meng Zhao, Jin Chen, Xueyong Li, Zhiping Chen, Yihong Tang, Sai Zou

Int. J. Distributed Sens. Networks, 2019