Hanqi Jiang
According to our database1,
Hanqi Jiang
authored at least 31 papers
between 2023 and 2025.
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Bibliography
2025
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges.
CoRR, July, 2025
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models.
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
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
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
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
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: 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
Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization.
CoRR, 2023