activity
20222025
most citedPP-MARL: Efficient Privacy-Preserving Multi-Agent Reinforcement Learning for Cooperative Intelligence in Communications

3 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

SignMouth: Leveraging Mouthing Cues for Sign Language Translation by Multimodal Contrastive Fusion

Wenfang Wu, Tingting Yuan, Yupeng Li +2

Sign language translation (SLT) aims to translate natural language from sign language videos, serving as a vital bridge for inclusive communication. While recent advances leverage…

cs.NI2024

Region-based Content Enhancement for Efficient Video Analytics at the Edge

Weijun Wang, Liang Mi, Shaowei Cen +4

Video analytics is widespread in various applications serving our society. Recent advances of content enhancement in video analytics offer significant benefits for the bandwidth sa…

cs.NI2023

BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge

Lin Sun, Weijun Wang, Tingting Yuan +4

High-definition (HD) cameras for surveillance and road traffic have experienced tremendous growth, demanding intensive computation resources for real-time analytics. Recently, offl…

cs.CV2023★ 1 cited

AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics

Tingting Yuan, Liang Mi, Weijun Wang +2

The quality of the video stream is key to neural network-based video analytics. However, low-quality video is inevitably collected by existing surveillance systems because of poor…

cs.MA2022

DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning

Tingting Yuan, Hwei-Ming Chung, Jie Yuan +1

Communication is supposed to improve multi-agent collaboration and overall performance in cooperative Multi-agent reinforcement learning (MARL). However, such improvements are prev…

cs.MA2022★ 3 cited

PP-MARL: Efficient Privacy-Preserving Multi-Agent Reinforcement Learning for Cooperative Intelligence in Communications

Tingting Yuan, Hwei-Ming Chung, Xiaoming Fu

Cooperative intelligence (CI) is expected to become an integral element in next-generation networks because it can aggregate the capabilities and intelligence of multiple devices.…