Papers
A More Efficient Reduction from Outlier-Aware to Outlier-Free k-Median
Zhen Zhang, Han Peng, Limei Liu et al.
Prototype-Driven Active Domain Adaptation with Density Consideration
Zeyu Zhang, Chun Shen, Qiang Ma et al.
PPGPT: Transferring Next-Token Modeling from Language to PPG Signals
Zexing Zhang, Huimin Lu, Qingxin Zhao
SAGE: Structured Attribute-Guided Enhancement for GZSL
Zao Zhang, Liguo Sun, Pin Lyu
Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks
Yuxuan Zhang, Yuhang Sun, Hongjue Li et al.
Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer
Yuxuan Zhang, Yuhang Sun, Wen Yao et al.
MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning
Yutong Zhang, Zimeng Wu, Shengcai Liao et al.
FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning
Yuhang Zhang, Xianda Wang, Wei Sun et al.
Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling
Yuanyang Zhang, Xinhang Wan, Chao Zhang et al.
Rethinking Multi-Instance Learning Through Graph-Driven Fusion: A Dual-Path Approach to Adaptive Representation
Yu-Xuan Zhang, Zhengchun Zhou, Weisha Liu et al.
Efficient Tensorized Multi-View Anchor Graph Clustering with Affinity Propagation for Remote Sensing Data
Yongshan Zhang, Kangyue Zheng, Shuaikang Yan et al.
Fair Bayesian Data Selection via Generalized Discrepancy Measures
Yixuan Zhang, Jiabin Luo, Zhenggang Wang et al.
Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning
Ying Zhang, Xingyue Guo, Yu Zhao et al.
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
Yeqin Zhang, Yizheng Zhao, Chen Hu et al.
Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
Xuan Zhang, Zhijian Zhou, Weidi Xu et al.
Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration
Xiaohan Zhang, Chao Zhang, Deng Xu et al.
Unifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global–Local Representation Synergy in Multivariate Time Series Forecasting
Wenhao Zhang, Chun Zhang, Wei Bai et al.
Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner
Wenchuan Zhang, Penghao Zhang, Jingru Guo et al.
CauVQ: Causal Vector Quantization for Graph OOD Generalization
Weihong Zhang, Liang Bai, Hangyuan Du et al.
On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD
Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang et al.
MMhops-R1: Multimodal Multi-hop Reasoning
Tao Zhang, Ziqi Zhang, Zongyang Ma et al.
Adaptive Graph Attention Based Discrete Hashing for Incomplete Cross-modal Retrieval
Shuang Zhang, Yue Wu, Lei Shi et al.
MLLM Enriched Explainable Multiple Clustering
Shan Zhang, Liangrui Ren, Qiaoyu Tan et al.