activity
20212026
collaborators

7 papers

cs.CV2026

Diagnosing and Mitigating Evidence Misgrounding in Multimodal Knowledge Editing

Zhiwu Wang, Yichen Wu, Jinqian Yang +4

Multimodal knowledge editing aims to update visually grounded facts in Multimodal Large Language Models (MLLMs) while preserving unrelated text and visual behaviors. However, stand…

math.PR2026

Exact Endpoint Asymptotics and Almost-Sure Limits for Uniform Empirical Measures in Two Dimensions

Weitao Huang, Yichen Wu, Renzhen Wang +1

For the empirical measure of the first points of one infinite sequence of independent uniform samples in the unit square, we identify the leading constant in the bounded-Lipsch…

cs.LG2025

Semi-Supervised Regression with Heteroscedastic Pseudo-Labels

Xueqing Sun, Renzhen Wang, Quanziang Wang +3

Pseudo-labeling is a commonly used paradigm in semi-supervised learning, yet its application to semi-supervised regression (SSR) remains relatively under-explored. Unlike classific…

cs.LG2025

Data-Distill-Net: A Data Distillation Approach Tailored for Reply-based Continual Learning

Wenyang Liao, Quanziang Wang, Yichen Wu +2

Replay-based continual learning (CL) methods assume that models trained on a small subset can also effectively minimize the empirical risk of the complete dataset. These methods ma…

cs.LG2025

SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning

Yichen Wu, Hongming Piao, Long-Kai Huang +6

Continual Learning (CL) with foundation models has recently emerged as a promising paradigm to exploit abundant knowledge acquired during pre-training for tackling sequential tasks…

cs.LG2024

Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective

Quanziang Wang, Renzhen Wang, Yichen Wu +3

In online continual learning (CL), models trained on changing distributions easily forget previously learned knowledge and bias toward newly received tasks. To address this issue,…

cs.CV2021

Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers

Renzhen Wang, De cai, Kaiwen Xiao +3

Hierarchical classification aims to sort the object into a hierarchical structure of categories. For example, a bird can be categorized according to a three-level hierarchy of orde…