Papers
Dynamic and Adaptive Feature Generation with LLM
Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar et al.
LEKA: LLM-Enhanced Knowledge Augmentation
Xinhao Zhang, Jinghan Zhang, Fengran Mo et al.
Aligning Contrastive Multiple Clusterings with User Interests
Shan Zhang, Liangrui Ren, Jun Wang et al.
Model Rake: A Defense Against Stealing Attacks in Split Learning
Qinbo Zhang, Xiao Yan, Yanfeng Zhao et al.
Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting
Jintao Zhang, Mingyue Cheng, Xiaoyu Tao et al.
Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning
Haodi Zhang, Xiangyu Zeng, Junyang Chen et al.
On the Power of Optimism in Constrained Online Convex Optimization
Haobo Zhang, Hengquan Guo, Xin Liu
Rethinking Federated Graph Learning: A Data Condensation Perspective
Hao Zhang, Xunkai Li, Yinlin Zhu et al.
Accelerating Adversarial Training on Under-Utilized GPU
Zhuoxin Zhan, Ke Wang, Pulei Xiong
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
Chusheng Zeng, Bocheng Wang, Jinghui Yuan et al.
Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction
Li Yuan, Yi Cai, Xudong Shen et al.
A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer
Jidong Yuan, Qihang Zhang, Naiyue Chen et al.
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization
Xiaoyang Yu, Xiaoming Wu, Xin Wang et al.
Wrapped Partial Label Dimensionality Reduction via Dependence Maximization
Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
Di Yu, Changze Lv, Xin Du et al.
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning
Di Yu, Xin Du, Linshan Jiang et al.
Boost Embodied AI Models with Robust Compression Boundary
Chong Yu, Tao Chen, Zhongxue Gan
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu et al.
ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization
Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong et al.
Run Like a Neural Network, Explain Like k-Nearest Neighbor
Xiaomeng Ye, David Leake, Yu Wang et al.
M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models
Xiaojun Ye, Guanbao Liang, Chun Wang et al.
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning
Rongguang Ye, Ming Tang
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Xinhao Yao, Hongjin Qian, Xiaolin Hu et al.
From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination
Chang Yao, Youfang Lin, Shoucheng Song et al.
Smoothed Online Convex Optimization with Delayed Feedback
Sifan Yang, Wenhao Yang, Wei Jiang et al.