Papers
Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
Haonan Xu, Yang Yang
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding
Ganxi Xu, Jinyi Long, Jia Zhang
UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective
Furui Xu, Shaobo Wang, Jiajun Zhang et al.
CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation
Changjian Xu, Yong Wang, Ruizheng Huang et al.
AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers
Boxun Xu, Yu Wang, Zihu Wang et al.
Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization
Binyan Xu, Fan Yang, Di Tang et al.
PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning
Beicheng Xu, Wei Liu, Keyao Ding et al.
MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
Xuantang Xiong, Ni Mu, Runpeng Xie et al.
D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness
Lang Xiong, Ning Liu, Ao Ren et al.
VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping
Guojun Xiong, Milind Tambe
SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting
Feng Xiong, Zongxia Xie, Yanru Sun et al.
On Modality Weighting and Specificity for Multi-Modal Entity Alignment
Yu Xing, Qizhuo Xie, Yunhui Liu et al.
DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance
Yinghui Xing, Xiaoting Su, Shizhou Zhang et al.
DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection
Shiwang Xing, Jianwei Niu, Tao Ren
OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility
Yun Xin, Jianfeng Lu, Gang Li et al.
DivControl: Knowledge Diversion for Controllable Image Generation
Yucheng Xie, Fu Feng, Ruixiao Shi et al.
ViCToR: Improving Visual Comprehension via Token Reconstruction for Pretraining LMMs
Yin Xie, Kaicheng Yang, Peirou Liang et al.
MAVERIX: Multimodal Audio-Visual Evaluation and Recognition IndeX
Liuyue Xie, Avik Kuthiala, George Z Wei et al.
Efficient Plug-and-Play Weight Refinement for Sparse Large Models
Jingcheng Xie, Yinda Chen, Xiaoyu Liu et al.
Reward Redistribution via Gaussian Process Likelihood Estimation
Minheng Xiao, Xian Yu
Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation
Jing Xiao, Xinhai Chen, Jiaming Peng et al.
DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering
Baili Xiao, Ke Liang, Jiaqi Jin et al.
FAM: Fine-Grained Alignment Matters in Multimodal Embedding Learning with Large Vision-Language Models
Tianhang Xiang, Yirui Li, Lizhao Liu et al.
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
Haolong Xiang, Peisi Wang, Xiaolong Xu et al.
Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning
Yulong Xia, Fuchun Sun