Zirui Zhuang

Orcid: 0000-0003-3345-1732

According to our database1, Zirui Zhuang authored at least 61 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
0
5
10
15
20
25
30
11
5
4
2
18
10
2
1
3
3

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Fast and Scalable ACL Policy Solving Under Complex Constraints With Graph Neural Networks.
IEEE/ACM Trans. Netw., October, 2024

Dynamic Network Slice for Bursty Edge Traffic.
IEEE/ACM Trans. Netw., August, 2024

Slice Sandwich: Jagged Slicing Multi-Tier Dynamic Resources for Diversified V2X Services.
IEEE Trans. Mob. Comput., May, 2024

TacNet: A Tactic-Interactive Resource Allocation Method for Vehicular Networks.
IEEE Internet Things J., April, 2024

Cognition Guided Video Anomaly Detection Framework for Surveillance Services.
IEEE Trans. Serv. Comput., 2024

Diner: Interpretable Anomaly Detection for Seasonal Time Series in Web Services.
IEEE Trans. Serv. Comput., 2024

ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data.
CoRR, 2024

Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection.
CoRR, 2024

Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective.
CoRR, 2024

OutlierTune: Efficient Channel-Wise Quantization for Large Language Models.
CoRR, 2024

Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation.
CoRR, 2024

UAV Trajectory Tracking via RNN-Enhanced IMM-KF with ADS-B Data.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

EPVerifier: Accelerating Update Storms Verification with Edge-Predicate.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

QUIC-Enabled Framework for Alleviating Transient Congestion in Time-Critical IoT.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Video Anomaly Detection via Progressive Learning of Multiple Proxy Tasks.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

STAR-VP: Improving Long-term Viewport Prediction in 360° Videos via Space-aligned and Time-varying Fusion.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Beyond Throughput-Optimal: Second-Order Smooth Backpressure Algorithm for Reducing Jitter and Delay.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Fast Policy Convergence for Traffic Engineering with Proactive Distributed Message-Passing.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Efficient Throughput and Loop-Free Routing: An Adaptive Second-Order Backpressure Algorithm.
Proceedings of the IEEE INFOCOM 2024, 2024

Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Pre-Tokenization of Numbers for Large Language Models.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Accelerating ACL Configuration Update through Data Plane Analysis.
Proceedings of the 2024 SIGCOMM Workshop on Formal Methods Aided Network Operation, 2024

FLUK: Protecting Federated Learning Against Malicious Clients for Internet of Vehicles.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024

Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single RGB-D Image.
Proceedings of the Computer Vision - ECCV 2024, 2024

Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Distantly Supervised Contrastive Learning for Low-Resource Scripting Language Summarization.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

NetRen: Service Migration-Driven Network Renascence with Synthesizing Updated Configuration.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Toward High-Powered Connected Autonomous Vehicles: A Cooperative Solution via Transient Edge Intelligence Provision.
IEEE Commun. Mag., December, 2023

Network Meets ChatGPT: Intent Autonomous Management, Control and Operation.
J. Commun. Inf. Networks, September, 2023

Standing on the Shoulders of Giants: Cross-Slice Federated Meta Learning for Resource Orchestration to Cold-Start Slice.
IEEE/ACM Trans. Netw., April, 2023

$Q$-Learning Aided Intelligent Routing With Maximum Utility in Cognitive UAV Swarm for Emergency Communications.
IEEE Trans. Veh. Technol., March, 2023

Unsupervised Portrait Drawing Generation for Free Styles.
Int. J. Intell. Syst., 2023

Brief Announcement: Accelerate CNN Inference with Zoning Graph at Dynamic Granularity.
Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023

Poster: PipeLLM: Pipeline LLM Inference on Heterogeneous Devices with Sequence Slicing.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fine-Grained Flow Control Agent on Path MTU for IoT Software.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Solving Distributed ACL Policies Under Complex Constraints with Graph Neural Networks.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

CONFPILOT: A Pilot for Faster Configuration by Learning from Device Manuals.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Deep Reinforcement Learning Based Fast Anomaly Detection and Localization for Programmable Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Robust Video Anomaly Detection Framework via Prior Knowledge and Multi-Path Frame Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023

HIRN: A Hierarchical Intent Refinement Approach for Dependable Network Slicing with Multi-path Resource Allocation.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

2022
Intelligent Joint Network Slicing and Routing via GCN-Powered Multi-Task Deep Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., 2022

Digital Twins-based Multi-agent Deep Reinforcement Learning for UAV-assisted Vehicle Edge Computing.
Proceedings of the IEEE Smartworld, 2022

FedNKD: A Dependable Federated Learning Using Fine-tuned Random Noise and Knowledge Distillation.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

2021
Generative Adversarial Network-Based Transfer Reinforcement Learning for Routing With Prior Knowledge.
IEEE Trans. Netw. Serv. Manag., 2021

Tensor-Based Reinforcement Learning for Network Routing.
IEEE J. Sel. Top. Signal Process., 2021

Adaptive and Robust Routing With Lyapunov-Based Deep RL in MEC Networks Enabled by Blockchains.
IEEE Internet Things J., 2021

Mean Field Deep Reinforcement Learning for Fair and Efficient UAV Control.
IEEE Internet Things J., 2021

ResNet Approach for Coding Unit Fast Splitting Decision of HEVC Intra Coding.
Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

2020
Scalable Parallel Task Scheduling for Autonomous Driving Using Multi-Task Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., 2020

Toward Greater Intelligence in Route Planning: A Graph-Aware Deep Learning Approach.
IEEE Syst. J., 2020

Multi-Agent Deep Reinforcement Learning for Secure UAV Communications.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Adaptive and Robust Network Routing Based on Deep Reinforcement Learning with Lyapunov Optimization.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

DeepHop on Edge: Hop-by-hop Routing byDistributed Learning with Semantic Attention.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019
Deep reinforcement learning-based cooperative interactions among heterogeneous vehicular networks.
Appl. Soft Comput., 2019

2018
Graph-Aware Deep Learning Based Intelligent Routing Strategy.
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018

Common Knowledge Based Transfer Learning for Traffic Classification.
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018

A Case-Based Decision System for Routing in Packet-Switched Networks.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018


  Loading...