Papers
Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation
Leqi Zhang, Wayne Lu, Haiyang Zhang et al.
Vulnerability-Aware Robust Multimodal Adversarial Training
Junrui Zhang, Xinyu Zhao, Jie Peng et al.
PepCCD: A Contrastive Conditioned Diffusion Framework for Target-Specific Peptide Generation
Jun Zhang, Yangyang Zhou, Tiantian Zhu et al.
GAHMN: A Generative Approach for High-Dimensional Mediation Analysis
Jiaming Zhang, Yiqi Lin, Rou Zhang et al.
MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation
Jiale Zhang, Yanan Wang, Bosen Rao et al.
Sparse Tuning Enhances Plasticity in PTM-based Continual Learning
Huan Zhang, Shenghua Fan, Shuyu Dong et al.
MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting
Hu Zhang, Zhien Dai, Zhaohui Tang et al.
TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models
Honglei Zhang, Zhiwei Li, Haoxuan Li et al.
Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks
He Zhang, Bang Wu, Xiaoning Liu et al.
FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering
Haodong Zhang, Xinyue Wang, Tao Ren et al.
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
Fuyao Zhang, Xinyu Yan, Tiantong Wu et al.
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Enming Zhang, Liwen Cao, Yanru Wu et al.
FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions
Boyang Zhang, Daning Cheng, Yunquan Zhang et al.
FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
Boya Zhang, Shuaijie Yin, Huiwen Zhu et al.
PRISM: Privacy-Aware Routing for Adaptive Cloud–Edge LLM Inference via Semantic Sketch Collaboration
Junfei Zhan, Haoxun Shen, Zheng Lin et al.
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.