Zihao Lin

Affiliations:
  • Virginia Tech, Blacksburg, VA, USA
  • Duke University, Durham, NC, USA


According to our database1, Zihao Lin authored at least 24 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Survey on LLM-based Conversational User Simulation.
CoRR, April, 2026

Think, Act, Build: An Agentic Framework with Vision Language Models for Zero-Shot 3D Visual Grounding.
CoRR, April, 2026

MiLDEdit: Reasoning-Based Multi-Layer Design Document Editing.
CoRR, January, 2026

Decentralized Partial Model Personalization With Guaranteed Nonconvex Convergence.
IEEE Trans. Netw., 2026


2025
SuperFlow: Training Flow Matching Models with RL on the Fly.
CoRR, December, 2025

Localizing Knowledge in Diffusion Transformers.
CoRR, May, 2025

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models.
CoRR, February, 2025

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Trust it or not: Confidence-guided automatic radiology report generation.
Neurocomputing, 2024

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models.
CoRR, 2024

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.
CoRR, 2024

InternalInspector I<sup>2</sup>: Robust Confidence Estimation in LLMs through Internal States.
CoRR, 2024

Holistic Evaluation for Interleaved Text-and-Image Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models.
CoRR, 2023

Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph.
CoRR, 2023

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training.
CoRR, 2023

Prompt Tuning based Adapter for Vision-Language Model Adaption.
CoRR, 2023

2021
Confidence-Guided Radiology Report Generation.
CoRR, 2021

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021


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