Papers
From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication
Yohei Hayamizu, David DeFazio, Hrudayangam Mehta et al.
FT-MoE: Sustainable-learning Mixture of Experts for Fault-Tolerant Computing
Wenjing Xiao, Wenhao Song, Miaojiang Chen et al.
FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models
Kewei Chen, Yayu Long, Shuai Li et al.
Full-Atom Peptide Design via Riemannian–Euclidean Bayesian Flow Networks
Hao Qian, Shikui Tu, Lei Xu
Function-on-Function Bayesian Optimization
Jingru Huang, Haijie Xu, Manrui Jiang et al.
FusedRec: Fused Embedding Communication for Distributed Recommendation Training on GPUs
Xuanteng Huang, Fan Li, Riyang Hu et al.
FUSE: Fine-Grained and Semantic-Aware Learning for Unified Image Understanding and Generation
Peng Zhang, Wanggui He, Mushui Liu et al.
FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining
Junlin Xu, Zhuang Zhang, Zhenghang Gong et al.
Fusing Time-Domain and Constellation Views: A Multimodal MAE for Wireless Signals (Student Abstract)
Agniva Banerjee, Arijit Sen
FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction
Xiean Wang, Pin Chen, Liqin Tan et al.
FVNet: Harnessing Liquid Neural Dynamics for Lightweight Visual Representation
Zhenzhe Hou, Xiaohui Chu, Runze Hu et al.
GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting
Yuning Peng, Haiping Wang, Yuan Liu et al.
GAHMN: A Generative Approach for High-Dimensional Mediation Analysis
Jiaming Zhang, Yiqi Lin, Rou Zhang et al.
GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs
Nitin Gupta, Pallav Koppisetti, Kausik Lakkaraju et al.
GAICo: Demonstrating a Unified Framework for Multi-Modal GenAI Evaluation
Pallav Koppisetti, Nitin Gupta, Kausik Lakkaraju et al.
Gait Recognition via Collaborating Discriminative and Generative Diffusion Models
Haijun Xiong, Bin Feng, Bang Wang et al.
Gait Transformer: End-to-End Transformer Backbone for Gait Recognition
Saihui Hou, Wenpeng Lang, Jilong Wang et al.
Game Ground Bench: Probing the Limits of LVLMs in Complex Semantic Grounding Across Game Universes
Zhangyang Qi, Jinsong Li, Hongjian Wu et al.
Games of Representation: Developing Card-Based Activities to Teach About Representation and Bias in AI Datasets
Katherine S. Moore, Helen Zhang, Irene Lee
Game-Theoretic Simulations Meet AI: Fast Policy Recommendations Under Data Scarcity (Student Abstract)
Phuong-Anh Duong, Luong-Ngoc-Anh Vu, Binh Nguyen Thi
Game Theory Based Community-Aware Opinion Dynamics
Shanfan Zhang, Yongyi Lin, Xiaoting Shen et al.
GARNET: GoT-Based Alert Reduction and Narrative Event Tracing
Yiru Gong, Song Liu, Changzhi Zhao et al.
GATCL: An Adaptive Contrastive Learning Framework Based on MHGAT for Spatial Domain Identification in Spatial Transcriptomics
Shilin Zhang, Weiliang Huo, Qingchen Zhang et al.
Gated Variational Graph Autoencoders as Experts with Competition and Consensus for Multi-view Clustering
Zhaoliang Chen, William K. Cheung, Hong-Ning Dai et al.