yusuke1997/dblp-id-title huggingface dataset:
Demo: P4Xtnd: P4 Programmability on Resource Constrained Environments with Extended Network Functionalities
Homa: a receiver-driven low-latency transport protocol using network priorities
Sirpent: A High-Performance Internetworking Approach
SCX: Stateless KV-Cache Encoding for Cloud-Scale Confidential Transformer Serving
Toward low-latency end-to-end communication in 5G using interdomain edge peering
Debugging P4 programs with vera
Hyperloop: group-based NIC-offloading to accelerate replicated transactions in multi-tenant storage systems
Fleet: defending SDNs from malicious administrators
Stratified round Robin: a low complexity packet scheduler with bandwidth fairness and bounded delay
Fault isolation in multicast trees
CocoSketch: high-performance sketch-based measurement over arbitrary partial key query
Meridian: a lightweight network location service without virtual coordinates
Proceedings of the 1st ACM SIGCOMM Asia-Pacific Workshop on Systems, ApSys 2010, New Delhi, India, August 30, 2010
A comparison of hard-state and soft-state signaling protocols
POSTER: Holographic Optical Tag enabled Omnidirectional IoT Connection
Better QUIC implementations with Nesquic
Implementing the ISO-OSI reference model
FALE: Fine-grained Device Free Localization that can Adaptively work in Different Areas with Little Effort
Shortest Paths and Loop-Free Routing in Dynamic Networks
Using CPU as a traffic co-processing unit in commodity switches
On Per-Session End-to-End Delay Distributions and the Call Admission Problem for Real-Time Applications with QOS Requirements
EBB: Reliable and Evolvable Express Backbone Network in Meta
perfbench: A Tool for Predictability Analysis in Multi-Tenant Software-Defined Networks
Hierarchical Packet Fair Queueing Algorithms
Direct Telemetry Access
TimerTasks: Towards Time-driven Execution in Programmable Dataplanes
Auric: using data-driven recommendation to automatically generate cellular configuration
Challenges in Using ML for Networking Research: How to Label If You Must
Enabling Fine-Grained Edge Offloading for IoT
Virtual ring routing: network routing inspired by DHTs
Directory services/IBM versus CCITT (panel session, title only)
Taking the Edge off with Espresso: Scale, Reliability and Programmability for Global Internet Peering
A framework for low-power IPv6 routing simulation, experimentation, and evaluation
Protocols for large data transfers over local networks
Enabling conferencing applications on the internet using an overlay muilticast architecture
Slicing networks with P4 hardware and software targets
End-User Mapping: Next Generation Request Routing for Content Delivery
Centralium: A Hybrid Route-Planning Framework for Large-Scale Data Center Network Migrations
iFIT: Intelligent Flow Information Telemetry
Runtime Verification of P4 Switches with Reinforcement Learning
Named Data Networking Based Smart Home Lighting
Quantifying the transient performance of congestion control algorithms
Analysis of Cellular Network Latency for Edge-Based Remote Rendering Streaming Applications
Integration of ioT multihop networks with MEC infrastructures for Next Generation Networks
Which flows are hiding behind my wildcard rule?: adding packet sampling to openflow
QUANT-NET: A testbed for quantum networking research over deployed fiber
Performance of network and computing resource sharing in federated cloud systems
Tussle in cyberspace: defining tomorrow's internet
Proceedings of the first ACM International Workshop on Mobile Gaming, MobileGames '12, Helsinki, Finland, August 13, 2012
Loss-Load Curves: Support for Rate-Based Congestion Control in High-Speed Datagram Networks
Global, Passive Detection of Connection Tampering
Dynamics of Internet Routing Information
VTrace: Automatic Diagnostic System for Persistent Packet Loss in Cloud-Scale Overlay Network
Closed loop stability controls for s-aloha satellite communications
Relational Network Verification
Incremental update for a compositional SDN hypervisor
In-network caching assisted wireless AP storage management: challenges and algorithms
Efficient content dissemination in heterogeneous networks prone to episodic connectivity
Towards an accurate AS-level traceroute tool
Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis
Human-Drone Interaction: state of the art, open issues and challenges
Vantage: optimizing video upload for time-shifted viewing of social live streams
Operational experience with packet switching networks (panel session, title only)
Do Larger (More Accurate) Deep Neural Network Models Help in Edge-assisted Augmented Reality?
Efficient sparse collective communication and its application to accelerate distributed deep learning
Engineering Egress with Edge Fabric: Steering Oceans of Content to the World
NeuroScaler: neural video enhancement at scale
Theoretical performance analysis of sliding window link level flow control for a local area network
Elastic sketch: adaptive and fast network-wide measurements
Optimizing cost and performance for multihoming
Proceedings of the ACM SIGCOMM workshop on Future directions in network architecture, FDNA '04, Portland, Oregon, USA, August 30, 2004
Offloading Security Services to the Cloud Infrastructure
Extending the software-defined network boundary
A server host system on the ARPANET
TYMNET - maintenance considerations in a very large Network
Using RDMA efficiently for key-value services
HACK: Homomorphic Acceleration via Compression of the Key-Value Cache for Disaggregated LLM Inference
Proceedings of the first workshop on Hot topics in software defined networks, HotSDN@SIGCOMM 2012, Helsinki, Finland, August 13, 2012
Functional distribution of Computer Based Messaging Systems
Ambient backscatter: wireless communication out of thin air
ACM SIGCOMM 2012 Conference, SIGCOMM '12, Helsinki, Finland - August 13 - 17, 2012
A framed movable-boundry protocol for integrated voice/data in a LAN
A Case for a Stateful Middlebox Networking Stack
Corona-warn-app: tracing the start of the official COVID-19 exposure notification app for germany
OptSys '21: Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems, Virtual Event, USA, 23 August 2021
On the leakage of personally identifiable information via online social networks
Experimental investigations into TCP performance over wireless multihop networks
Using insurance to increase internet security
Outrageous opinion panel: do we really have to consider the human factor in networking?
Designing a Survey Tool for Monitoring Enterprise QoE
Scalable Inter-Domain Routing Architecture
The ties that un-bind: decoupling IP from web services and sockets for robust addressing agility at CDN-scale
TACK: Improving Wireless Transport Performance by Taming Acknowledgments
Proceedings of the Conference on Communications Architecture & Protocols, SIGCOMM 1991, Zürich, Switzerland, September 3-6, 1991
Realistic BGP traffic for test labs
Service hosting gateways: a platform for distributed service deployment in end user homes
Scaling of Multicast Trees: Comments on the Chuang-Sirbu Scaling Law
Incentives in BitTorrent induce free riding
Distributed Quantum Computing Across Heterogeneous Hardware with Hybrid Dependency Hypergraphs
Real Time Control Plane Verification
Dynamic bandwidth allocation in a network
Stateless Network Functions
Understanding 5G performance for real-world services: a content provider's perspective
CESSNA: Resilient Edge-Computing
Proceedings of the Ninth Symposium on Data Communications, SIGCOMM 1985, Whistler Moutain, British Columbia, Canada, September 10-12, 1985
Experimenting software radio with the Sora platform
Measuring the Impact of a Successful DDoS Attack on the Customer Behaviour of Managed DNS Service Providers
The Named-Object Abstraction for Realizing Advanced Mobility Services in the Future Internet
Practical network support for IP traceback
How to Measure the Killer Microsecond
Network Monitoring with Imperfect Tests
A Control Architecture for Entanglement Generation Switches in Quantum Networks
Palladium: A DPU-enabled Multi-Tenant Serverless Cloud over Zero-copy Multi-node RDMA Fabrics
Demo: NetVision: Efficient Visualization Front-End for Packet-level Discrete-Event Network Simulation
Analysis of Game Bot's Behavioral Characteristics in Social Interaction Networks of MMORPG
Don't drop, detour!
Pre-Allocation Media Access Control Protocols for Multiple Access WDM Photonic Networks
PARS: A Layered Hardware Obfuscation Platform for Resilience and Secure Collaborative Multi-Module Designs
Network-aware service placement in a distributed cloud environment
Experiences in emulating 10K AS topology with massive VM multiplexing
SON conflict resolution using reinforcement learning with state aggregation
Shadow configuration as a network management primitive
A (not) NICE way to verify the openflow switch specification: formal modelling of the openflow switch using alloy
The Synchronization of Periodic Routing Messages
L2D2: low latency distributed downlink for LEO satellites
Proceedings of the fifth symposium on Data communications, SIGCOMM 1977, Snowbird, Utah, USA, September 27-29, 1977
Datapac (panel session, abstract only)
An in-depth study of LTE: effect of network protocol and application behavior on performance
User-driven dynamic traffic prioritization for home networks
Customizing virtual networks with partial FPGA reconfiguration
Realistic and responsive network traffic generation
A Case for Information Centric Networking For Smart Grid Communications
Accelerating Model Training in Multi-cluster Environments with Consumer-grade GPUs
An overview of BLN: A bell laboratories computing network
A path-oriented routing strategy for packet switching networks with end-to-end protocols
Characterizing Docker Overhead in Mobile Edge Computing Scenarios
Orbis: rescaling degree correlations to generate annotated internet topologies
Sketchlearn: relieving user burdens in approximate measurement with automated statistical inference
Demo: 802.11 a/g PHY implementation in ziria, domain-specific language for wireless programming
Interconnecting local networks via the Packet Radio Network
Understanding BGP misconfiguration
Cloud control with distributed rate limiting
Infinite CacheFlow in software-defined networks
Filtering Spoofed IP Traffic Using Switching ASICs
Supercharge WebRTC: Accelerate TURN Services with eBPF/XDP
Dynamic Service Chaining with Dysco
Wide-Area Traffic: The Failure of Poisson Modeling
A Data Processing Performance Model for the OSI Application Layer Protocols
A Hierarchical Solution for Application Level Store-and-Forward Deadlock Prevention
Fast and Scalable Layer Four Switching
SketchVisor: Robust Network Measurement for Software Packet Processing
Optical storage of page images and pictorial data - opportunities and needed advances in information retrieval
DEIDtect: towards distributed elastic intrusion detection
ONOS: towards an open, distributed SDN OS
Morpheus: making routing programmable
Hermes: Enhancing Layer-7 Cloud Load Balancers with Userspace-Directed I/O Event Notification
Hidden Internet topologies info: Truth or Myth?
FireFly: a reconfigurable wireless data center fabric using free-space optics
Accelerated virtual switching with programmable NICs for scalable data center networking
Cluster-Based Load Balancing for Better Network Security
Chameleon: scalable adaptation of video analytics
Vroom: Accelerating the Mobile Web with Server-Aided Dependency Resolution
Dynamic Pricing and Traffic Engineering for Timely Inter-Datacenter Transfers
Flexible multimedia content retrieval using InfoNames
RTCSR: Zero-latency Aware Super-resolution for WebRTC Mobile Video Streaming
Blockgraph proof-of-concept
Adaptive Resource Management Algorithms for Indoor Mobile Computing Environments
Generating Multiple Choice Questions from Scientific Literature via Large Language Models
Physics-Informed Machine Learning for Sea Ice Thickness Prediction
Estimation Winter Wheat Crop Yield through Multi-Modal Analysis using Satellite Imagery and Meteorological Data
Mining Unexpected Sequential Patterns from MOOC Data
OrbitSI: An Orbit-based Algorithm for the Subgraph Isomorphism Search Problem
Discovering IMRaD Structure with Different Classifiers
A Character-Word Graph Attention Networks for Chinese Text Classification
Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval
A Novel Homophily-aware Correction Approach for Crowdsourced Labels Using Information Entropy
Ensemble Classification Method Based on Truth Discovery
FEPF: A knowledge Fusion and Evaluation Method based on Pagerank and Feature Selection
Modeling Multi-label Recurrence in Data Streams
An Abnormal Login Detection Method Based on Multi-source Log Fusion Analysis
A Scheme for Kinship Reasoning based on Ontology
A Generative Adversarial Net Assisted Method for User Intention Recognition on Imbalanced Dataset
Attribute Similarity and Relevance-Based Product Schema Matching for Targeted Catalog Enrichment
Beyond the Simplex: Hadamard-Infused Deep Sparse Representations for Enhanced Similarity Measures
Open-Domain Document-Based Automatic QA Models Based on CNN and Attention Mechanism
Discovering High Influence Co-location Patterns from Spatial Data Sets
Neural Attentive Knowledge Tracing Model for Student Performance Prediction
Incremental Integration of Fragmented Knowledge Via the Edition Protocol of a Shared Knowledge Base
An Event-Centric Prediction System for COVID-19
Knowledge-Guided Biclustering via Sparse Variational EM Algorithm
Outlier Detection via Kernel Preserving Embedding and Random Walk
Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs
Intuitionistic Fuzzy Requirements Aggregation for Graph Pattern Matching with Group Decision Makers
Conversational Music Recommendation based on Bandits
Robust Features Selection via Structure Learning and Multiple Subspace Learning
Multi-Label classification with Missing Labels by Preserving Feature-Label Space Consistency
Biometric Recognition Through Eye Movements Using a Recurrent Neural Network
Non-Autoregressive Speech Synthesis by Fusion of CoordConv and Sound Quality
Predicting ICU Pressure Injuries with Historical Data: A Multivariate Time Series Approach
Revolutionizing Staffing and Recruiting with Contextual Knowledge Graphs and QNLP: An End-to-End Quantum Training Paradigm
Axolotl: Fairness through Assisted Prompt Rewriting of Large Language Model Outputs
Stochastic Optimization for Market Return Prediction Using Financial Knowledge Graph
Nonparametric Functional Approximation with Delaunay Triangulation Learner
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset
SS08: Research on the Construction of Ship Product Standard Knowledge Graph and Application
Jointly Modeling Fact Triples and Text Information for Knowledge Base Completion
Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework
Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization
An Efficient Storage Scheme for Sustainable Development Goals Data Over Distributed Knowledge Graph Stores
Discovering Knowledge by Behavioral Analytics for Elderly Care
Forecast of Solar Energy Production - A Deep Learning Approach
TCMKG: A Deep Learning Based Traditional Chinese Medicine Knowledge Graph Platform
YABKO-Yet Another Big Knowledge Organization
Low-Light Image Enhancement by Refining Illumination Map with Self-Guided Filtering
Embedding-Based Entity Alignment Using Relation Structural Similarity
AHINE: Adaptive Heterogeneous Information Network Embedding
IEEE International Conference on Knowledge Graph, ICKG 2024, Abu Dhabi, United Arab Emirates, December 11-12, 2024
QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets
IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022
A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning
Imbalanced Learning for Hospital Readmission Prediction using National Readmission Database
Highly Parallel Seedless Random Number Generation from Arbitrary Thread Schedule Reconstruction
2021 IEEE International Conference on Big Knowledge, ICBK 2021, Auckland, New Zealand, December 7-8, 2021
Feature Enhancement for Multi-modal Entity Alignment Transformer
Prediction of Aluminum Electrolysis Superheat Based on Improved Relative Density Noise Filter SMO
Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream
Deep Embedding Logistic Regression
Online Streaming Feature Selection Based on Conditional Information Entropy
Edge Sign Prediction Based on Orthogonal Graph Regularized Nonnegative Matrix Factorization for Transfer Learning
An Anomaly Detection Method for Medicare Fraud Detection
An efficient framework for sentence similarity inspired by quantum computing
PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks
Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders
BERT-BIGRU-CRF: A Novel Entity Relationship Extraction Model
Snapshot Visualization of Complex Graphs with Force-Directed Algorithms
Two-stage Sequential Recommendation via Bidirectional Attentive Behavior Embedding and Long/Short-term Integration
Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case
A Proximal Alternating-direction-method-of-multipliers-based Nonnegative Latent Factor Model
Mining Course Trajectories of Successful and Failure Students: A Case Study
Answer-Centric Local and Global Information Fusion for Conversational Question Generation
Implicit Business Competitor Inference Using Heterogeneous Knowledge Graph
Inductive Multi-view Semi-Supervised Anomaly Detection via Probabilistic Modeling
A Performance Comparison of Cloud-Based Container Orchestration Tools
Improving Document-level Relation Extraction via Contextualizing Mention Representations andWeighting Mention Pairs
Periodic Guidance Learning
Consensus with Voting Theory in Blockchain Environments
DMTMV: A Unified Learning Framework for Deep Multi-task Multi-view Learning
Unsupervised DeepView: Global Explainability of Uncertainties for High Dimensional Data
SS08: Development and application of knowledge graphs and large language models technology
HTransE: Hybrid Translation-based Embedding for Knowledge Graphs
Approximate Query Answering in Complex Gaussian Mixture Models
Graph-based Keyphrase Extraction Using Word and Document Em beddings
Opponent Resource Prediction in StarCraft Using Imperfect Information
Knowledge Distillation via Weighted Ensemble of Teaching Assistants
Smoking Cessation Recruitment Analysis: A Case Study
Decentralized Mining Pool Games in Blockchain
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series
Multi-level Spatio-temporal Matching Network for Multi-turn Response Selection in Retrieval-based Dialogue Systems
Causal Extraction from the Literature of Pressure Injury and Risk Factors
Knowledge Fragment Cleaning in a Genealogy Knowledge Graph
Adaptive Regularization-Incorporated Latent Factor Analysis
Bayesian Inference for Survival Analysis in Private Setting
Randomized Perturbation for Privacy-Preserving Social Network Data Publishing
A Knowledge Enhanced Chinese GaoKao Reading Comprehension Method
A New Design of VQA System based on Weighted Contextual Features
Label Distribution Learning by Exploiting Feature-Label Correlations Locally
An Ensemble Latent Factor Model for Highly Accurate Web Service QoS Prediction
Neural Entity Synonym Set Generation using Association Information and Entity Constraint
Relation Extraction with Proactive Domain Adaptation Strategy
Two is Better Than One: Dual Embeddings for Complementary Product Recommendations
Neural Networks for Predicting the Output of wind flow Simulations Over Complex Topographies
Language Style Matters: Personality Prediction from Textual Styles Learning
The Integrated Organization of Data and Knowledge Based on Distributed Hash
AQUA+: Query Optimization for Hybrid Database-MapReduce System
Substructure Discovery in Heterogeneous Multilayer Networks
Deep Associative Classifier
Is Large Language Model Good at Triple Set Prediction? An Empirical Study
U-Net Based Defects Inspection in Photovoltaic Electroluminecscence Images
Entity Spatio-temporal Evolution Summarization in Knowledge Graphs
Cyber Security Meets Big Knowledge: Towards a Secure HACE Theorem
Learning from Crowds with Mutual Correction-Based Co-Training
Imbalanced Networked Multi-label Classification with Active Learning
Nonlinear Dimensionality Reduction with Judicial Document Learning
Subpopulation-Wise Conditional Correlation Modeling and Analysis
ASAGeR: Automated Short Answer Grading Regressor via Sentence Simplification
Knowledge Base Enhanced Topic Modeling
Discovering the Most Influential Geo-Social Object Using Location Based Social Network Data
Breaking Down SEO Complexity: Bridging PCA and Bayesian-Optimized t-SNE
Global Semantics with Boundary Constraint Knowledge Graph for Chinese Financial Event Detection
Intervention Prediction for Patients with Pressure Injury Using Random Forest
EMoDi: Entity-Enhanced Momentum-Difference Contrastive Learning for Semantic-Aware Verification of Scientific Information
Dynamically Jointing character and word embedding for Chinese text Classification
GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classification
Investigations on Scientific Literature Meta Information Extraction Using Large Language Models
Resolving Seemingly Conflicting Fact Statements Caused by Missing Terms
Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data
Events Detection in Temporally Evolving Social Networks
Information Extraction in Low-Resource Scenarios: Survey and Perspective
Constraining Anomaly Detection with Anomaly-Free Regions
Detecting Overlapping Communities in Knowledge Graphs: A Density Optimization Based Approach
Multi-task Learning for Multi-turn Dialogue Generation with Topic Drift Modeling
Fuzzy c-Means Clustering with Discriminative Projection
Efficient Low-Rank GNN Defense Against Structural Attacks
Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions
Inference Calibration of Neural Network Models
A Robust Mathematical Model for Blood Supply Chain Network using Game Theory
A Spatial Co-location Pattern Mining Algorithm Without Distance Thresholds
A Comprehensive Analysis of Data Imbalance in Deep Learning-Based Cognitive Diagnosis
Research on Incentive Algorithm of Participatory Sensing System Based on Location
Spectral Asteroid Classification Using Wavelet Transform and Auxillary Data to Identify Optimal Mining Targets with Convolutional Neural Networks
Multi-Sentence Matching via Exploiting List-level Semantics Expansion
Reasoning on Efficient Knowledge Paths: Knowledge Graph Guides Large Language Model for Domain Question Answering
Short-Attention Mechanism for Generative Dialogue System
Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph
NeuroANATOP: An Effective Tool to Assess the Progression of Alzheimer's Disease in Human Brain Networks
Leave-One-Out-, Bootstrap- and Cross-Conformal Anomaly Detectors
An Adaptive Ant Colony optimization in Knowledge Graphs
Mining Spatial Co-location Patterns by the Fuzzy Technology
AD-Link: An Adaptive Approach for User Identity Linkage
Recognizing Characters and Relationships from Videos via Spatial-Temporal and Multimodal Cues
A Multi-Agent Collaborative Framework for Constructing Knowledge Graphs from Text
Foreign Accent Conversion using Concentrated Attention
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain
HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management
Online Markov Blanket Discovery With Streaming Features
Research on Crowdsourcing Truth Inference Method Based on Graph Embedding
Refining Guideline Knowledge for Agent Planning Using Textgrad
GTFormer: A Geospatial Temporal Transformer for Crowd Flow Prediction