Papers
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
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier
Xinpeng Li, Kai Ming Ting
Annealed Relaxation of Speculative Decoding for Faster Autoregressive Image Generation
Xingyao Li, Fengzhuo Zhang, Cunxiao Du et al.
Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction
Xingwang Li, Fei Teng, Xin Wu et al.
Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples
Ximing Li, Jiaxuan Jiang, Changchun Li et al.
HAP: Harmonized Amplitude Perturbation for Cross-Domain Few-Shot Learning
Wenqian Li, Pengfei Fang, Hui Xue
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI
Tianbin Li, Yanzhou Su, Wei Li et al.
State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning
Songlin Li, Wei Xiao, Hao Wu et al.
MIDILM: A Dual-Path Model for Controllable Text-to-MIDI Generation
Shuyu Li, Dooho Choi, Yunsick Sung
MoE-Guided Graph Diffusion for Oriented Molecule Design
Shuochen Li, Xiangqi Guo, Huobin Tan et al.
Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
Shiyuan Li, Yixin Liu, Qingsong Wen et al.