activity
20242026
most citedDiffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution

1 citations · 1 across the 7 of their papers we have counts for

collaborators

13 papers

cs.LG2026

CP Loss: Channel-wise Perceptual Loss for Time Series Forecasting

Yaohua Zha, Chunlin Fan, Peiyuan Liu +4

Multi-channel time-series data, prevalent across diverse applications, is characterized by significant heterogeneity in its different channels. However, existing forecasting models…

cs.CV2025

CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection

Yaohua Zha, Xue Yuerong, Chunlin Fan +4

Deep learning-based 3D anomaly detection methods have demonstrated significant potential in industrial manufacturing. However, many approaches are specifically designed for anomaly…

cs.CR2025

JPRO: Automated Multimodal Jailbreaking via Multi-Agent Collaboration Framework

Yuxuan Zhou, Yang Bai, Kuofeng Gao +2

The widespread application of large VLMs makes ensuring their secure deployment critical. While recent studies have demonstrated jailbreak attacks on VLMs, existing approaches are…

cs.CV2025

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation

Yuxuan Zhou, Tao Yu, Wen Huang +3

The generalization capability of deepfake detectors is critical for real-world use. Data augmentation via synthetic fake face generation effectively enhances generalization, yet cu…

cs.CV2025

Personalized Face Super-Resolution with Identity Decoupling and Fitting

Jiarui Yang, Hang Guo, Wen Huang +2

In recent years, face super-resolution (FSR) methods have achieved remarkable progress, generally maintaining high image fidelity and identity (ID) consistency under standard setti…

cs.CV2025

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter

Yaohua Zha, Yanzi Wang, Hang Guo +7

Applying pre-trained models to assist point cloud understanding has recently become a mainstream paradigm in 3D perception. However, existing application strategies are straightfor…