5 citations · 8 across the 4 of their papers we have counts for
4 papers
Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning
Jing Liu, Chenxuanyin Zou, Jiayang Ren +5
Federated fine-tuning of Multimodal Large Language Models (MLLMs) across distributed networks enables privacy-sensitive adaptation to evolving data streams, yet a fundamental obsta…
Collaborative Adaptive Curriculum for Progressive Knowledge Distillation
Jing Liu, Zhenchao Ma, Han Yu +5
Recent advances in collaborative knowledge distillation have demonstrated cutting-edge performance for resource-constrained distributed multimedia learning scenarios. However, achi…
A Survey on Diffusion Models for Anomaly Detection
Jing Liu, Zhenchao Ma, Zepu Wang +7
Diffusion models (DMs) have emerged as a powerful class of generative AI models, showing remarkable potential in anomaly detection (AD) tasks across various domains, such as cybers…
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
Jing Liu, Yang Liu, Jieyu Lin +7
The increasing utilization of surveillance cameras in smart cities, coupled with the surge of online video applications, has heightened concerns regarding public security and priva…