Papers
Dormant Backdoor: Weaponizing Model Finetuning for Feasible Backdoor Attacks Against Pretrained Models
Ruitao Li, Jiakai Wang, Hairong Chen et al.
AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
Renda Li, Hailang Huang, Fei Wei et al.
Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels
Qiyu Li, Xianxian Li, De Li et al.
AIM: Manifold-based Data Filtering for Representation Finetuning
Qing Li, Qibin Zheng, Yi Liu et al.
Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction
Qibin Li, Shengyuan Bai, Nai Zhou et al.
Permutation Equivariant Framelet-based Hypergraph Neural Networks
Ming Li, Yi Wang, Chengling Gao et al.
Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs
Ming Li, Yongqi Li, Yuting Chen et al.
HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
Ming Li, Ruiting Zhao, Zihao Yan et al.
Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction
Ming Li, Huiting Wang, Yuting Chen et al.
HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning
Ming Li, Zhanle Zhu, Xinyi Li et al.
High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks
Ming Li, Yujie Fang, Dongrui Shen et al.
Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
Ming Li, Zihao Yan, Yuting Chen et al.
Difficulty-Aware Learning Curve Extrapolation
Mengyang Li, Pinlong Zhao
Rethinking Open-world Prompt Tuning: A Systematic Framework for Evaluation and Optimization
Mengwei Li, Zilei Wang, Yixin Zhang
From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning
Meiju Li, Ruixiang Sun, Xin Li et al.
Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging
Lujun Li, Qiyuan Zhu, Jiacheng Wang et al.
Stratified Knowledge-Density Super-Network for Scalable Vision Transformers
Longhua Li, Lei Qi, Xin Geng
C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models
Lin Li, Yan Wang, Zhuopeng Wang
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
Lan Li, Tao Hu, Da-Wei Zhou et al.
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction
Kanxue Li, Yibing Zhan, Hua Jin et al.
Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation
Jiao Li, Jian Lang, Xikai Tang et al.
Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation
Jiajia Li, Huisi Wu
Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation
Jiacheng Li, Songhe Feng
Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
Hongzhao Li, Guohao Shen, Shupan Li et al.