Haoyang Su
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2026
CoRR, May, 2026
MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization.
CoRR, April, 2026
LAMMI-Pathology: A Tool-Centric Bottom-Up LVLM-Agent Framework for Molecularly Informed Medical Intelligence in Pathology.
CoRR, February, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, December, 2025
NAS-LoRA: Empowering Parameter-Efficient Fine-Tuning for Visual Foundation Models with Searchable Adaptation.
CoRR, December, 2025
AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research.
CoRR, May, 2025
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection.
CoRR, February, 2025
Numerical scheme for solving the soil-water coupling problems based on finite volume method with unstructured mesh.
J. Comput. Sci., 2025
SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation.
CoRR, 2024
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction.
CoRR, 2024
An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images.
Appl. Soft Comput., 2024
Sample Efficiency Matters: Training Multimodal Conversational Recommendation Systems in a Small Data Setting.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Enhancing Product Representation with Multi-form Interactions for Multimodal Conversational Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023