Papers
SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs
Huiliang Zhai, Xiangyi Teng, Jing Liu
Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning
Yuheng Zha, Kun Zhou, Yujia Wu et al.
FDC-Ground: Improving GRPO for GUI Grounding via Exponential Rewards and Fact-Aligned Pruning
Xiangjian Zeng, Wenjing Li, Qingqiang Wu et al.
FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment
Moxuan Zeng, Wenxuan Tu, Yuanyi Chen et al.
Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving
Hui Zeng, Daming Zhao, Pengfei Yang et al.
Hyperbolic Continuous Structural Entropy for Hierarchical Clustering
Guangjie Zeng, Hao Peng, Angsheng Li et al.
Ripple Shapley: Data Influence Attribution in One Federated Training Run
Dewen Zeng, Wenlong Tian, Haozhao Wang et al.
PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination
Bo Zeng, Zhi Pang, Yuyang Zhang et al.
Generating Sketches in a Hierarchical Auto-Regressive Process for Flexible Sketch Drawing Manipulation at Stroke-Level
Sicong Zang, Shuhui Gao, Zhijun Fang
Topology-aware Knowledge Preservation for Class-Incremental Learning
Han Zang, Yongfeng Dong, Linhao Li et al.
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.