Papers
Distribution Shift Is Key to Learning Invariant Prediction
Hong Zheng, Fei Teng
Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents
Haozhuo Zheng, Cheng Wang, Yang Liu
Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning
Hao Zheng, Shiyu Song, Zhigang Hu et al.
SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization
Zhixiong Zhao, Fangxin Liu, Junjie Wang et al.
Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths
Yuzhen Zhao, Yating Liu, Marc Hoffmann
Adaptive Evolutionary Fusion for Multi-View Clustering
Yunxiao Zhao, Liang Bai, Xian Yang
Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
Xingyue Zhao, Wenke Huang, Xingguang Wang et al.
Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs
Wenrui Zhao, Yijun Tian, Zhichao Xu et al.
Multi-granularity Temporal Knowledge Editing over Large Language Models
Simiao Zhao, Ning Pang, Zhen Tan et al.
Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring
Shiman Zhao, Siyuan Liu, Zhiqi Shen
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.