Papers
VeriFlow: Modeling Distributions for Neural Network Verification
Faried Abu Zaid, Daniel Neider, Mustafa Yalçıner
GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting
Yuqi Yuan, Xiong Luo, Qiaojuan Peng et al.
Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing
Li Yuan, Qingfei Huang, Bingshan Zhu et al.
MetaTrader: Learning to Generalize RL Trading Policies Beyond Offline Data
Haochen Yuan, Minting Pan, Yunbo Wang et al.
Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios
Zhuohao Yu, Zhe Liu, Tao Ren et al.
Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method
Zhiyuan Yu, Mingkai Lin, Wenzhong Li et al.
Test-driven Reinforcement Learning in Continuous Control
Zhao Yu, Xiuping Wu, Liangjun Ke
Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks
Xuan Yu, Tianyang Xu
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing
Xiaoshan Yu, Ziwei Huang, Shangshang Yang et al.
Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping
Tao Yu, Yongqi An, Kuan Zhu et al.
Binary Split Categorical Feature with Mean Absolute Error Criteria in CART
Peng Yu, Yike Chen, Chao Xu et al.
Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs
Jiaao Yu, Shenwei Li, Mingjie Han et al.
TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models
Hao Yu, Ke Liang, Junxian Duan et al.
Generating Risky Samples with Conformity Constraints via Diffusion Models
Han Yu, Hao Zou, Xingxuan Zhang et al.
Error Slice Discovery via Manifold Compactness
Han Yu, Hao Zou, Jiashuo Liu et al.
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
Han Yu, Xiaojuan Zhao, Aiping Li et al.
CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations
Guanyuan Yu, Yijun Chen, Liang Xu et al.
ConSurv: Multimodal Continual Learning for Survival Analysis
Dianzhi Yu, Conghao Xiong, Yankai Chen et al.
How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation
Zinuo You, Jin Zheng, John Cartlidge
A Flat Minima Perspective on Understanding Augmentations and Model Robustness
Weebum Yoo, Sung Whan Yoon
R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models
Tianyi Yin, Jingwei Wang, Chenze Wang et al.
Deep Reinforcement Learning for Scalable Offline Three-Dimensional Packing
Hao Yin, Hongjie He, Fan Chen
DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation
Le Yi, Wei Huang, Lei Zhang et al.
Quantum Lipschitz Bandits
Bongsoo Yi, Yue Kang, Yao Li
Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint
Zhong Ye, Yu Hu, Zhenguo Yang