Yihong Tang

Orcid: 0000-0002-3684-3072

According to our database1, Yihong Tang authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network.
Inf. Fusion, 2024

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning.
CoRR, 2024

High and Low Resolution Tradeoffs in Roadside Multimodal Sensing.
CoRR, 2024

RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing Systems.
CoRR, 2024

ERABAL: Enhancing Role-Playing Agents through Boundary-Aware Learning.
CoRR, 2024

MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space.
CoRR, 2024

Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning.
CoRR, 2024

Enhancing Semi-Dense Feature Matching Through Probabilistic Modeling of Cascaded Supervision and Consistency.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles.
ACM Trans. Intell. Syst. Technol., December, 2023

Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases.
IEEE Trans. Intell. Transp. Syst., February, 2023

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.
CoRR, 2023

RouteKG: A knowledge graph-based framework for route prediction on road networks.
CoRR, 2023

Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona.
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.
CoRR, 2022

Few-Shot Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases.
CoRR, 2022

Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities.
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.
CoRR, 2021

Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks.
Complex., 2021

2019
A novel privacy- and integrity-preserving approach for multidimensional data range queries in two-tiered wireless sensor networks.
Int. J. Distributed Sens. Networks, 2019


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