Jiashu He

According to our database, Jiashu He authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

Think Twice Before You Write - an Entropy-based Decoding Strategy to Enhance LLM Reasoning.

Jiashu He, Meizhu Liu, Olaitan P. Olaleye, Amit Agarwal, M. Avendi, Yassi Abbasi, Matthew Rowe, Hitesh Laxmichand Patel, Paul Li, Tao Sheng, Sujith Ravi, Dan Roth

CoRR, April, 2026

TransportAgents: a multi-agents LLM framework for traffic accident severity prediction.

Zhichao Yang, Jiashu He, Jinxuan Fan, Cinzia Cirillo

CoRR, January, 2026

2025

PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory.

Bowen Jiang, Yuan Yuan, Maohao Shen, Zhuoqun Hao, Zhangchen Xu, Zichen Chen, Ziyi Liu, Anvesh Rao Vijjini, Jiashu He, Hanchao Yu, Radha Poovendran, Gregory W. Wornell, Lyle H. Ungar, Dan Roth, Sihao Chen, Camillo Jose Taylor

CoRR, December, 2025

E-bike agents: Large Language Model-Driven E-Bike Accident Analysis and Severity Prediction.

Zhichao Yang, Jiashu He, Mohammad B. Al-Khasawneh, Darshan Pandit, Cinzia Cirillo

CoRR, June, 2025

Self-GIVE: Associative Thinking from Limited Structured Knowledge for Enhanced Large Language Model Reasoning.

Jiashu He, Jinxuan Fan, Bowen Jiang, Ignacio Houine, Dan Roth, Alejandro Ribeiro

CoRR, May, 2025

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?

Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Jiashu He, Joshua David Bergerson, John K. Hutchison, Jordan Branham, Camillo J. Taylor, Tanwi Mallick

CoRR, May, 2025

StgcDiff: Spatial-Temporal Graph Condition Diffusion for Sign Language Transition Generation.

Jiashu He, Jiayi He, Shengeng Tang, Huixia Ben, Lechao Cheng, Richang Hong

Proceedings of the 3rd International Workshop on Deep Multimodal Generation and Retrieval, 2025

GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation.

Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation.

Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro

CoRR, 2024

T-Gae: Transferable Graph Autoencoder for Network Alignment.

Jiashu He, Charilaos I. Kanatsoulis, Alejandro Ribeiro

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

2023

Network Alignment with Transferable Graph Autoencoders.

Jiashu He, Charilaos I. Kanatsoulis, Alejandro Ribeiro

CoRR, 2023

2021

Performance analysis of facial recognition: A critical review through glass factor.

Jiashu He

CoRR, 2021