Hanqi Jiang

Orcid: 0009-0007-2778-959X

According to our database1, Hanqi Jiang authored at least 43 papers between 2023 and 2026.

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Timeline

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Bibliography

2026
MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence.
CoRR, May, 2026

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-Institution and Multi-System Data.
IEEE Trans. Biomed. Eng., March, 2026

Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs.
CoRR, March, 2026

Neural Functional Alignment Space: Brain-Referenced Representation of Artificial Neural Networks.
CoRR, March, 2026

Large Language Models for Assisting American College Applications.
CoRR, February, 2026

ViThinker: Active Vision-Language Reasoning via Dynamic Perceptual Querying.
CoRR, February, 2026

SYNAPSE: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activation.
CoRR, January, 2026

Achieving Fine-grained Cross-modal Understanding through Brain-inspired Hierarchical Representation Learning.
CoRR, January, 2026

Large language models for bioinformatics.
Quant. Biol., 2026

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Smart-Home Human Activity Modeling.
Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems, 2026

MEDQUA: A NISQ-Aware Quantum Adapter for Medical Vision-Language Models.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
MoMoE: A Mixture of Expert Agent Model for Financial Sentiment Analysis.
CoRR, November, 2025

Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models.
IEEE Trans. Neural Networks Learn. Syst., October, 2025

CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classification.
CoRR, October, 2025

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges.
CoRR, July, 2025

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems.
CoRR, July, 2025

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling.
CoRR, May, 2025

AdCare-VLM: Leveraging Large Vision Language Model (LVLM) to Monitor Long-Term Medication Adherence and Care.
CoRR, May, 2025

Psg-6d: prior-free implicit category-level 6D pose estimation with SO(3)-equivariant network and point cloud global enhancement.
Multim. Syst., April, 2025

EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

ECHOPulse: ECG Controlled Echocardio-gram Video Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
QueEn: A Large Language Model for Quechua-English Translation.
CoRR, 2024

Foundation Models for Low-Resource Language Education (Vision Paper).
CoRR, 2024

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research.
CoRR, 2024

OracleSage: Towards Unified Visual-Linguistic Understanding of Oracle Bone Scripts through Cross-Modal Knowledge Fusion.
CoRR, 2024

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios.
CoRR, 2024

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation.
CoRR, 2024

Large Language Models for Manufacturing.
CoRR, 2024

A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education.
CoRR, 2024

ECHOPulse: ECG controlled echocardio-grams video generation.
CoRR, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR, 2024

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery.
CoRR, 2024

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.
CoRR, 2024

Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports.
CoRR, 2024

Eye-gaze Guided Multi-modal Alignment Framework for Radiology.
CoRR, 2024

LLMs for Coding and Robotics Education.
CoRR, 2024

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.
CoRR, 2024

Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023
Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization.
CoRR, 2023


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