Xinwang Liu

Transformers with Endogenous In-Context Learning: Bias Characterization and Mitigation

Beyond Rational Illusion: Behaviorally Realistic Strategic Classification

Adaptive Marginal Sensitivity with Limited RCT Data for CATE Estimation

Identifying Outcome-Oriented Root Causes via Cross Regression

Incomplete Multi-view Deep Clustering with Data Imputation and Alignment

COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering

SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering

Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction

Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios

Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity

Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead

Efficient Federated Incomplete Multi-View Clustering

DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization

SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering

On the Adversarial Robustness of Multi-Kernel Clustering

From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering

Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation

EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation

Dual-level Affinity Induced Embedding-free Multi-view Clustering with Joint-alignment

AdvLoRA: Adversarial Low-Rank Adaptation of Vision-Language Models

Towards the Effect of Large Language Models on Out-Of-Distribution Challenge in Text-Attributed Graphs