The following accepted papers will be presented in a poster session on October 28th:
| # | Title | Authors |
|---|---|---|
| 6 | Intelligent Coordination Strategies for Multi-Agent\nNavigation in Dynamic Networks | Naga Lalitha Sree Thatavarthi |
| 8 | Evidential deep learning for uncertainty quantification and out-of-distribution detection in jet identification using deep neural networks | Mark Neubauer, Ayush Khot, Xiwei Wang, Avik Roy and Volodymyr Kindratenko |
| 12 | HiPA: Enabling One-Step Text-to-Image Diffusion via\nHigh-Frequency Promotion | Yifan Zhang, Bryan Hooi and Shuicheng Yan |
| 13 | Framework for 10X Acceleration of Open Clinical AI Science | Anjun Chen, Lu Tian and Jorg Rodriguez |
| 16 | FREE: The Foundational Semantic Recognition for Modeling\nEnvironmental Ecosystems | Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun\nXie, Licheng Liu, Zhenong Jin, Huaxiu Yao and Xiaowei Jia |
| 17 | Identifying High-Risk Cancer Patients on Breast Cancer\nPathology Reports with Large Language Models | Raymond Ng, Trevor Kwan and Jaimie Lee |
| 20 | OmniScience: A Domain-Specialized LLM for Scientific\nReasoning and Discovery | Kai Liu and Vignesh Prabhakar |
| 24 | Agentic Knowledge Graph Traversal in Protein-Protein\nRelation Grounding | Gabriel Reder, Carl Collins, Abbi Abdel Rehim, Larisa\nSoldatova and Ross King |
| 28 | Revisiting SUDEP Risk Prediction via Data Augmentation | Meiyu Li, Juliana Laze, Daniel Friedman, Orrin Devinsky and\nZhe Chen |
| 33 | Multi-Frame Grid Perspective for Traffic Video Captioning\nand Context-Aware VQA | Sanjita Prajapati, Ashutosh Dumka, Rajan Thakulla, Atmadip\nGoswami, Karo Ahmadi Dehrashid and Anuj Sharma |
| 35 | A Transformer Foundation Model for Microbiome Science: Cross-Study Generalization and Automated Discovery | Quintin Pope, Rohan Varma, Christine Tataru, Maude David and Xiaoli Fern | 37 | Enhancing Urban Accessibility Mapping: Few-Shot and\nZero-Shot Classification with Multimodal Large Language\nModels | Sid Karki |
| 38 | Beyond Brute-Force Context: A Semantic Retrieval Framework\nfor Efficient AI Code Generation | Krishiv Piduri |
| 39 | AI as an Accelerant for the Learning Sciences:\nOpportunities, Risks, and a Vision for the Future | Stephen Hutt |
| 41 | Design of a Cross-Layer AI Agent for Secure Spectrum-Aware Network Slicing | Guiran Liu, Binrong Zhu, Yang Liu and Qun Wang |
| 43 | Diffusion with Attention for Inverse Optimization | John Lins and Wei Liu |
| 45 | Ask WhAI: Probing Belief Formation in Role-Primed LLM Agents | Keith Moore, Jun Kim, David Lyu, Jeffrey Heo and Ehsan Adeli |
| 46 | Not Quite Anything: Overcoming SAM’s Limitations for 3D\nMedical Imaging | Keith Moore |
| 48 | Generating 3D Small Binding Molecules Using\nShape-Conditioned Diffusion Models with Guidance | Ziqi Chen, Bo Peng, Tianhua Zhai, Daniel Adu-Ampratwum and\nXia Ning |
| 52 | Evaluating protein binding interfaces with PUMBA | Azam Shirali and Giri Narasimhan |
| 53 | Domain Knowledge Infused Generative Models for Drug\nDiscovery Synthetic Data | Bing Hu, Jong-Hoon Park, Helen Chen, Young-Rae Cho and\nAnita Layton |
| 54 | The Mind Speaks – Voice Biomarkers for Cognitive Impairment\nusing Naturalistic In-Vehicle Audio | Aparna Joshi, Matthew Rizzo and Anuj Sharma |
| 55 | Unveiling Fibromyalgia Research Frontiers:\nTransformer-Based Topic and Sentiment Modeling for\nBiomedical Meta-Analysis | Yetunde Longe-Folajimi, Salem Othman and Leonidas\nDeligiannidis |
| 58 | Large Language Models in Drug Discovery: Insights from\nReasoning and Planning | Shengchao Liu |