Papers
Attribute-guided Dynamic Prompt Learning for Graph Neural Networks
Zhuomin Liang, Liang Bai, Xian Yang
Enhancing Spatial Reasoning Through Visual and Textual Thinking
Xun Liang, Xin Guo, Zhongming Jin et al.
On the Impact of Weight Quantization on Deep Neural Network Uncertainty
Shuang Liang, Xun Lu, Zi-Ang Liu et al.
Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
Jinhao Liang, Sven Koenig, Ferdinando Fioretto
Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions
Jiazhou Liang, Hassan Khurram, Scott Sanner
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses
Hao Liang, Wanrong Zhang, Xinlei He et al.
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
Daojun Liang, Jing Chen, Xiao Wang et al.
Fair Domain Generalization: An Information-Theoretic View
Tangzheng Lian, Guanyu Hu, Dimitrios Kollias et al.
ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval
Zixu Li, Yupeng Hu, Zhiwei Chen et al.
Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency
Zihan Li, Wei Sun, Jing Hu et al.
CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness
Zhuo Li, Gengyu Lyu, Yuena Lin et al.
Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies
Zhongnian Li, Lan Chen, Yixin Xu et al.
Federated Vision-Language-Recommendation with Personalized Fusion
Zhiwei Li, Guodong Long, Jing Jiang et al.
ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference
Zhenpeng Li, Jinshuo Liu, Xinyan Wang et al.
Learnable Permutation for Structured Sparsity on Transformer Models
Zekai Li, Ji Liu, Guanchen Li et al.
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
Yuyuan Li, Junjie Fang, Fengyuan Yu et al.
TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
Yuxuan Li, Yicheng Gao, Ning Yang et al.
Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks
Yue Li, Weifan Wang, Tai Sing Lee
DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis
Yu-sheng Li, Xincen Duan, Beili Wang et al.
LLA: Enhancing Security and Privacy for Generative Models with Logic-Locked Accelerators
You Li, Guannan Zhao, Yuhao Ju et al.
Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision–Language Models
Yongguang Li, Jindong Li, Qi Wang et al.
FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning
Yichen Li, Hang Su, Huifa Li et al.
A Causal Target for Learning to Defer Under Hidden Confounding
Yanmin Li, Lihua Liu, Xin Wang et al.
Generalizing Vision-Language Models with Dedicated Prompt Guidance
Xinyao Li, Yinjie Min, Hongbo Chen et al.
Spatio-Temporal Hierarchical Causal Models
Xintong Li, Haoran Zhang, Xiao Zhou