Papers
Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction
Hang Zhou, Wentao Yu, Yang Wei et al.
Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning
Dulan Zhou, Zijian Gao, Kele Xu
SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs
Chenhong Zhou, Jie Chen, Zaifeng Yang
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations
Bohan Zhou, Haoqi Yuan, Yuhui Fu et al.
TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
Yuan-Ting Zhong, Ting Huang, Xiaolin Xiao et al.
MedGR2: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning
Weihai Zhi, Jiayan Guo, Shangyang Li
Distributionally Robust Online Markov Game with Linear Function Approximation
Zewu Zheng, Yuanyuan Lin
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
Xingyu Zheng, Haotong Qin, Yuye Li et al.
Sarcopenia Assessment Model Based on Dual-Source Modal Graph
Wenxian Zheng, Zhi Chen, Qiaoqin Li et al.
Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation
Tianyi Zheng, Jiayang Gao, Peng-Tao Jiang et al.
GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models
Shurong Zheng, Yousong Zhu, Hongyin Zhao et al.
BiHiTo: Biomolecular Hierarchy-inspired Tokenization
Ruochong Zheng, Yutian Liu, Yian Zhao et al.
DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion
Ruisheng Zheng, Mingyi Li, Xiao Zhang et al.
Differentially Private Subspace Fine-Tuning for Large Language Models
Lele Zheng, Xiang Wang, Tao Zhang et al.
HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition
Jinpeng Zheng, Shao-Yuan Li, Gan Xu et al.
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