activity
20232026
collaborators

6 papers

cs.DC2026

CARA: Exact Local Repair with Fresh One-Action Certification for Cloud Consolidation

Xiyang Zhang, Yuanhe Tian, Hongzhi Wang

Simulator-based placement pipelines may inspect many repairs but deploy only when several reliability criteria improve together. Reusing search scenes to test the selected action i…

cs.LG2026

ALIVE: Warnings Before Exclusion in Budgeted Multi-Source Learning

Xiyang Zhang, Hongzhi Wang, Yuanhe Tian

A routing decision can be revised at the next transaction, but a latched source exclusion persists across later decisions. We ask what evidence should authorize these unequal-persi…

cs.LG2026

Training Data Selection with Gradient Orthogonality for Efficient Domain Adaptation

Xiyang Zhang, Yuanhe Tian, Hongzhi Wang +1

Fine-tuning large language models (LLMs) for specialized domains often necessitates a trade-off between acquiring domain expertise and retaining general reasoning capabilities, a p…

cs.LG2026

Nearly Optimal Bayesian Inference for Structural Missingness

Chen Liang, Donghua Yang, Yutong Zhao +9

Structural missingness breaks 'just impute and train': values can be undefined by causal or logical constraints, and the mask may depend on observed variables, unobserved variables…

cs.LG2025

Adaptive Data Selection for Text Classification: Hierarchical Value with a Local Utility Budget

Xiyang Zhang, Chen Liang, Yuanhe Tian +3

Selecting compact training sets from heterogeneous text sources requires balancing target relevance, label reliability, and coverage. For small classifiers, discarding unfamiliar b…

cs.LG2023

Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning

Chen Liang, Donghua Yang, Zhiyu Liang +4

In recent times, the field of unsupervised representation learning (URL) for time series data has garnered significant interest due to its remarkable adaptability across diverse do…