Papers
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.
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