Papers
HitKV: Activation Frequency Knows Which Tokens Are Important
Sanle Zhao, Yujuan Tan, Yu Jing et al.
Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
Mingjie Zhao, Zhanpei Huang, Yang Lu et al.
KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering
Liang Zhao, Tianqi Yue, Shubin Ma et al.
Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation
Jianchao Zhao, Chenhao Ding, SongLin Dong et al.
Differentiable Sparse Identification of Lagrangian Dynamics
Zitong Zhang, Hao Sun
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
Zishuai Zhang, Hainan Zhang, Weihua Li et al.
PatchET: Learning Enzyme Temperature Properties Through Patch-Based Neural Architectures
Ziqi Zhang, Runze Yang, Longbing Cao et al.
Minimum-Length Conformal Prediction Sets for Ordinal Classification
Zijian Zhang, Xinyu Chen, Yuanjie Shi et al.
Multi-Objective Bilevel Learning
Zhiyao Zhang, Zhuqing Liu, Xin Zhang et al.
ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL
Zhixiang Zhang, Shuo Chen, Yexin Li et al.
EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting
Zhiwei Zhang, Xinyi Du, Xuanchi Guo et al.
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
Zhicheng Zhang, Zhaocheng Du, Jieming Zhu et al.
Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
Zhenyu Zhang, Guangyao Chen, Yixiong Zou et al.
Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
Zhenshuo Zhang, Minxuan Duan, Youran Ye et al.
Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss
Zhenghao Zhang, Jun Xie, Xingchen Chen et al.
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.