3 citations · 14 across the 11 of their papers we have counts for
11 papers
CASTER: Breaking the Cost-Performance Barrier in Multi-Agent Orchestration via Context-Aware Strategy for Task Efficient Routing
Shanyv Liu, Xuyang Yuan, Tao Chen +5
Graph-based Multi-Agent Systems (MAS) enable complex cyclic workflows but suffer from inefficient static model allocation, where deploying strong models uniformly wastes computatio…
TSViT: A Time Series Vision Transformer for Fault Diagnosis
Shouhua Zhang, Jiehan Zhou, Xue Ma +2
Traditional fault diagnosis methods using Convolutional Neural Networks (CNNs) often struggle with capturing the temporal dynamics of vibration signals. To overcome this, the appli…
Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models
Zengxiang Li, Zhaoxiang Hou, Hui Liu +8
Multimodal data, which can comprehensively perceive and recognize the physical world, has become an essential path towards general artificial intelligence. However, multimodal larg…
Predicting Token Impact Towards Efficient Vision Transformer
Hong Wang, Su Yang, Xiaoke Huang +1
Token filtering to reduce irrelevant tokens prior to self-attention is a straightforward way to enable efficient vision Transformer. This is the first work to view token filtering…
SIEDOB: Semantic Image Editing by Disentangling Object and Background
Wuyang Luo, Su Yang, Xinjian Zhang +1
Semantic image editing provides users with a flexible tool to modify a given image guided by a corresponding segmentation map. In this task, the features of the foreground objects…
Reference-Guided Large-Scale Face Inpainting with Identity and Texture Control
Wuyang Luo, Su Yang, Weishan Zhang
Face inpainting aims at plausibly predicting missing pixels of face images within a corrupted region. Most existing methods rely on generative models learning a face image distribu…
Context-Consistent Semantic Image Editing with Style-Preserved Modulation
Wuyang Luo, Su Yang, Hong Wang +2
Semantic image editing utilizes local semantic label maps to generate the desired content in the edited region. A recent work borrows SPADE block to achieve semantic image editing.…
Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning
Peiying Zhang, Chao Wang, Neeraj Kumar +2
Network virtualization (NV) is a technology with broad application prospects. Virtual network embedding (VNE) is the core orientation of VN, which aims to provide more flexible und…
TransPPG: Two-stream Transformer for Remote Heart Rate Estimate
Jiaqi Kang, Su Yang, Weishan Zhang
Non-contact facial video-based heart rate estimation using remote photoplethysmography (rPPG) has shown great potential in many applications (e.g., remote health care) and achieved…
Feature-context driven Federated Meta-Learning for Rare Disease Prediction
Bingyang Chen, Tao Chen, Xingjie Zeng +5
Millions of patients suffer from rare diseases around the world. However, the samples of rare diseases are much smaller than those of common diseases. In addition, due to the sensi…
Federated Learning for Cross-block Oil-water Layer Identification
Bingyang Chena, Xingjie Zenga, Weishan Zhang
Cross-block oil-water layer(OWL) identification is essential for petroleum development. Traditional methods are greatly affected by subjective factors due to depending mainly on th…