14 citations · 67 across the 18 of their papers we have counts for
18 papers
Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework
Haosong Peng, Tianyu Qi, Yufeng Zhan +3
With the advancement of computer vision, the recently emerged 3D Gaussian Splatting (3DGS) has increasingly become a popular scene reconstruction algorithm due to its outstanding p…
DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes
Hao Li, Yuanyuan Gao, Haosong Peng +7
Novel-view synthesis (NVS) approaches play a critical role in vast scene reconstruction. However, these methods rely heavily on dense image inputs and prolonged training times, mak…
Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing
Haosong Peng, Yufeng Zhan, DiHua Zhai +2
As an emerging computing paradigm, edge computing offers computing resources closer to the data sources, helping to improve the service quality of many real-time applications. A cr…
Tangram: High-resolution Video Analytics on Serverless Platform with SLO-aware Batching
Haosong Peng, Yufeng Zhan, Peng Li +1
Cloud-edge collaborative computing paradigm is a promising solution to high-resolution video analytics systems. The key lies in reducing redundant data and managing fluctuating inf…
Arena: A Patch-of-Interest ViT Inference Acceleration System for Edge-Assisted Video Analytics
Haosong Peng, Wei Feng, Hao Li +3
The advent of edge computing has made real-time intelligent video analytics feasible. Previous works, based on traditional model architecture (e.g., CNN, RNN, etc.), employ various…
Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning--Technical Report
Tianyu Qi, Yufeng Zhan, Peng Li +2
Federated learning (FL) enables collaborative model training among distributed devices without data sharing, but existing FL suffers from poor scalability because of global model s…
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition
Jingcai Guo, Yuanyuan Xu, Wenchao Xu +3
Malware open-set recognition (MOSR) aims at jointly classifying malware samples from known families and detect the ones from novel unknown families, respectively. Existing works mo…
Workflow-based Fast Data-driven Predictive Control with Disturbance Observer in Cloud-edge Collaborative Architecture
Runze Gao, Qiwen Li, Li Dai +2
Data-driven predictive control (DPC) has been studied and used in various scenarios, since it could generate the predicted control sequence only relying on the historical input and…
Zero-Norm Distance to Controllability of Linear Systems: Complexity, Bounds, and Algorithms
Yuan Zhang, Yuanqing Xia, Yufeng Zhan +1
Determining the distance between a controllable system to the set of uncontrollable systems, namely, the controllability radius problem, has been extensively studied in the past. H…
KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes
Chenggang Shan, Guan Wang, Yuanqing Xia +2
As Kubernetes becomes the infrastructure of the cloud-native era, the integration of workflow systems with Kubernetes is gaining more and more popularity. To our knowledge, workflo…
A Coalition Formation Game Approach for Personalized Federated Learning
Leijie Wu, Song Guo, Yaohong Ding +2
Facing the challenge of statistical diversity in client local data distribution, personalized federated learning (PFL) has become a growing research hotspot. Although the state-of-…
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack
Yongkang Wang, Dihua Zhai, Yufeng Zhan +1
Federated learning (FL) is a distributed machine learning paradigm where enormous scattered clients (e.g. mobile devices or IoT devices) collaboratively train a model under the orc…
On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods
Yuan Zhang, Yuanqing Xia, Yufeng Zhan
This paper addresses the real structured controllability, stabilizability, and stability radii (RSCR, RSSZR, and RSSR, respectively) of linear systems, which involve determining th…
Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System
Runze Gao, Yuanqing Xia, Guan Wang +2
Subspace identification (SID) has been widely used in system identification and control fields since it can estimate system models only relying on the input and output data by reli…
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models
Tijin Yan, Tong Zhou, Yufeng Zhan +1
With the development of AIoT, data-driven attack detection methods for cyber-physical systems (CPSs) have attracted lots of attention. However, existing methods usually adopt tract…
Total Unimodularity and Strongly Polynomial Solvability of Constrained Minimum Input Selections for Structural Controllability: an LP-based Method
Yuan Zhang, Yuanqing Xia, Yufeng Zhan
This paper investigates several cost-sparsity induced optimal input selection problems for structured systems. Given are an autonomous system and a prescribed set of input links, w…
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models
Tijin Yan, Hongwei Zhang, Tong Zhou +2
Multivariate time series prediction has attracted a lot of attention because of its wide applications such as intelligence transportation, AIOps. Generative models have achieved im…
Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach
Yufeng Zhan, Yuanqing Xia, Jiang Zhang +2
Currently, explosive increase of smartphones with powerful built-in sensors such as GPS, accelerometers, gyroscopes and cameras has made the design of crowdsensing applications pos…