Xi Xiao

Orcid: 0000-0003-1521-9542

Affiliations:
  • Tsinghua University, Shenzhen, China


According to our database1, Xi Xiao authored at least 147 papers between 2012 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LGA: lightweight design and privacy analysis of generative agents in social simulations.
Int. J. Inf. Sec., June, 2026

VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection.
CoRR, May, 2026

Sword: Style-Robust World Models as Simulators via Dynamic Latent Bootstrapping for VLA Policy Post-Training.
CoRR, May, 2026

V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval.
CoRR, February, 2026

Context-Free Grammar Inference for Complex Programming Languages in Black Box Settings.
CoRR, January, 2026

MaliVD: Source Code Vulnerability Localization via Attention-Based Multi-Modal Learning.
IEEE Trans. Inf. Forensics Secur., 2026

Traffic burst relational graph attention network combined position encoding for traffic classification.
Comput. Networks, 2026

CrystalDiT: Simple Diffusion Transformers for Crystal Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

TWINFUZZ: Dual-Model Fuzzing for Robustness Generalization in Deep Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A Unified Random Walk, Its Induced Laplacians and Spectral Convolutions for Deep Hypergraph Learning.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

FeatureFool: Zero-Query Fooling of Video Models via Feature Map.
CoRR, October, 2025

DetecVFuzz: Enhancing Security in Consumer Electronic Devices Through Scalable Vulnerability Testing of Virtual Devices.
IEEE Trans. Consumer Electron., August, 2025

CrystalDiT: A Diffusion Transformer for Crystal Generation.
CoRR, August, 2025

Systematic Analysis of MCP Security.
CoRR, August, 2025

MSDformer: Multi-scale Discrete Transformer For Time Series Generation.
CoRR, May, 2025

Robust k-Means-Type Clustering for Noisy Data.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

InforTest: Informer-Based Testing for Applications in the Internet of Robotic Things.
IEEE Trans. Ind. Informatics, February, 2025

Image Shooting Parameter-Guided Cascade Image Retouching Network: Think Like an Artist.
IEEE Trans. Multim., 2025

BazzAFL: Moving Fuzzing Campaigns Towards Bugs via Grouping Bug-Oriented Seeds.
IEEE Trans. Dependable Secur. Comput., 2025

RBLJAN: Robust Byte-Label Joint Attention Network for Network Traffic Classification.
IEEE Trans. Dependable Secur. Comput., 2025

One Mutation Fits All: Exploring Universal Library Fuzzing Based on Exogenous Mutation.
IEEE Trans. Dependable Secur. Comput., 2025

MGCP: A Multi-Grained Correlation based Prediction Network for multivariate time series.
Neurocomputing, 2025

A novel high-accuracy graph neural network-based rumor detection method.
Eng. Appl. Artif. Intell., 2025

DTPN: A Diffusion-based Traffic Purification Network for Tor Website Fingerprinting.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Relational Graph Attention Network Combined with Burst Position Encoding for Traffic Classification.
Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Patch the Leak: Strengthening CodeLLMs Against Privacy Extraction Threats.
Proceedings of the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2025

CLRDMMF: A Contrastive Learning-based Rumor Detection Model with Multi-feature Fusion.
Proceedings of the 33rd IEEE International Conference on Network Protocols, 2025

High-Efficiency Fuzzing Technique Using Hooked I/O System Calls for Targeted Input Analysis.
Proceedings of the Computer Security - ESORICS 2025, 2025

SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
A comprehensive analysis of website fingerprinting defenses on Tor.
Comput. Secur., January, 2024

Query-Efficient Video Adversarial Attack with Stylized Logo.
CoRR, 2024

Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation.
CoRR, 2024

CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection.
CoRR, 2024

CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision.
CoRR, 2024

One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning.
CoRR, 2024

PMG : Personalized Multimodal Generation with Large Language Models.
Proceedings of the ACM on Web Conference 2024, 2024

LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model.
Proceedings of the IEEE Security and Privacy, 2024

SDformer: Similarity-driven Discrete Transformer For Time Series Generation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ShapFuzz: Efficient Fuzzing via Shapley-Guided Byte Selection.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Understanding the Ranking Loss for Recommendation with Sparse User Feedback.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Incremental Context-free Grammar Inference in Black Box Settings.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction.
Proceedings of the IEEE INFOCOM 2024, 2024

Understanding the Influence of Extremely High-Degree Nodes on Graph Anomaly Detection.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

CapsuleFormer: A Capsule and Transformer combined model for Decentralized Application encrypted traffic classification.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Tracking phishing on Ethereum: Transaction network embedding approach for accounts representation learning.
Comput. Secur., December, 2023

DiffTREAT: Differentiated Traffic Scheduling Based on RNN in Data Centers.
IEEE Trans. Cloud Comput., 2023

BugRadar: Bug localization by knowledge graph link prediction.
Inf. Softw. Technol., 2023

TCGNN: Packet-grained network traffic classification via Graph Neural Networks.
Eng. Appl. Artif. Intell., 2023

TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification.
Proceedings of the ACM Web Conference 2023, 2023

A lightweight and high-precision approach for bulky JavaScript engines fuzzing.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

StyleFool: Fooling Video Classification Systems via Style Transfer.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

BehavSniffer: Sniff User Behaviors from the Encrypted Traffic by Traffic Burst Graphs.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Phish2vec: A Temporal and Heterogeneous Network Embedding Approach for Detecting Phishing Scams on Ethereum.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

A Simple yet Strong Approach for Installation Prediction in ShareChat Ads.
Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023

Metis: Understanding and Enhancing In-Network Regular Expressions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fibonet: A Light-weight and Efficient Neural Network for Image Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AAP: Defending Against Website Fingerprinting Through Burst Obfuscation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

ReviewLocator: Enhance User Review-Based Bug Localization with Bug Reports.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

DetOH: An Anchor-Free Object Detector with Only Heatmaps.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification.
IEEE Trans. Dependable Secur. Comput., 2022

Towards a category-extended object detector with limited data.
Pattern Recognit., 2022

A co-occurrence matrix based masquerade detection method in in-vehicle network.
Trans. Emerg. Telecommun. Technol., 2022

A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process.
CoRR, 2022

Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs.
CoRR, 2022

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Diversified Multiscale Graph Learning with Graph Self-Correction.
Proceedings of the Topological, 2022

Soter: Deep Learning Enhanced In-Network Attack Detection Based on Programmable Switches.
Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

BARS: Towards Open Benchmarking for Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Graph Data Augmentation for Node Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Neural Architecture Searching for Facial Attributes-based Depression Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Energy Alignment for Bias Rectification in Class Incremental Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Learnable Hypergraph Laplacian for Hypergraph Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Smartwatch User Authentication by Sensing Tapping Rhythms and Using One-Class DBSCAN.
Sensors, 2021

ALBFL: A novel neural ranking model for software fault localization via combining static and dynamic features.
Inf. Softw. Technol., 2021

Molecular graph enhanced transformer for retrosynthesis prediction.
Neurocomputing, 2021

SAMLDroid: A Static Taint Analysis and Machine Learning Combined High-Accuracy Method for Identifying Android Apps with Location Privacy Leakage Risks.
Entropy, 2021

MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning.
CoRR, 2021

Diversified Multiscale Graph Learning with Graph Self-Correction.
CoRR, 2021

Phishing websites detection via CNN and multi-head self-attention on imbalanced datasets.
Comput. Secur., 2021

Fuzzing With Optimized Grammar-Aware Mutation Strategies.
IEEE Access, 2021

A LambdaMart-Based High-Accuracy Approach for Software Automatic Fault Localization.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

A Novel and High-Accuracy Rumor Detection Approach using Kernel Subtree and Deep Learning Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

On Self-Distilling Graph Neural Network.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Short and Distort Manipulations in the Cryptocurrency Market: Case Study, Patterns and Detection.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SimpleX: A Simple and Strong Baseline for Collaborative Filtering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
CNN-MHSA: A Convolutional Neural Network and multi-head self-attention combined approach for detecting phishing websites.
Neural Networks, 2020

ABFL: An autoencoder based practical approach for software fault localization.
Inf. Sci., 2020

Ransomware classification using patch-based CNN and self-attention network on embedded N-grams of opcodes.
Future Gener. Comput. Syst., 2020

Towards A Category-extended Object Detector without Relabeling or Conflicts.
CoRR, 2020

Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?
CoRR, 2020

ALBFL: A Novel Neural Ranking Model for Software Fault Localization via Combining Static and Dynamic Features.
Proceedings of the 19th IEEE International Conference on Trust, 2020

SpeedNeuzz: Speed Up Neural Program Approximation with Neighbor Edge Knowledge.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Adversarial Sparse Transformer for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hrnet: Hamiltonian Rescaling Network for Image Downscaling.
Proceedings of the IEEE International Conference on Image Processing, 2020

Enhanced Image Restoration Via Supervised Target Feature Transfer.
Proceedings of the IEEE International Conference on Image Processing, 2020

Self-Paced Probabilistic Principal Component Analysis For Data With Outliers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Maintaining Discrimination and Fairness in Class Incremental Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Android malware detection based on system call sequences and LSTM.
Multim. Tools Appl., 2019

Novel dynamic multiple classification system for network traffic.
Inf. Sci., 2019

Classification of ransomware families with machine learning based on N-gram of opcodes.
Future Gener. Comput. Syst., 2019

Self-Paced Probabilistic Principal Component Analysis for Data with Outliers.
CoRR, 2019

Steward: smart edge based joint QoE optimization for adaptive video streaming.
Proceedings of the 29th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2019

Non-local Self-attention Structure for Function Approximation in Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Weakly-supervised image captioning based on rich contextual information.
Multim. Tools Appl., 2018

New deep learning method to detect code injection attacks on hybrid applications.
J. Syst. Softw., 2018

CenLocShare: A centralized privacy-preserving location-sharing system for mobile online social networks.
Future Gener. Comput. Syst., 2018

A learnable search result diversification method.
Expert Syst. Appl., 2018

Learning-based topic detection using multiple features.
Concurr. Comput. Pract. Exp., 2018

Byte Segment Neural Network for Network Traffic Classification.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Classifying Quality Centrality for Source Localization in Social Networks.
Proceedings of the Web Services - ICWS 2018, 2018

Self -Paced Mixture of T Distribution Model.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Modeling and validation of SMS worm propagation over social networks.
J. Comput. Sci., 2017

Quokka: Latency-Aware Middlebox Scheduling with dynamic resource allocation.
J. Netw. Comput. Appl., 2017

Back-propagation neural network on Markov chains from system call sequences: a new approach for detecting Android malware with system call sequences.
IET Inf. Secur., 2017

Design and analysis of <i>SEIQR</i> worm propagation model in mobile internet.
Commun. Nonlinear Sci. Numer. Simul., 2017

SAIDR: A New Dynamic Model for SMS-Based Worm Propagation in Mobile Networks.
IEEE Access, 2017

Tianji: Implementation of an Efficient Tracking Engine in the Mobile Internet Era.
IEEE Access, 2017

Boost Clickbait Detection Based on User Behavior Analysis.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

A Learning Approach to Hierarchical Search Result Diversification.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

An Ontology-Based Latent Semantic Indexing Approach Using Long Short-Term Memory Networks.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016
Identifying Android malware with system call co-occurrence matrices.
Trans. Emerg. Telecommun. Technol., 2016

2015
ANNs on Co-occurrence Matrices for Mobile Malware Detection.
KSII Trans. Internet Inf. Syst., 2015

Towards adaptive elastic distributed Software Defined Networking.
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

Detection and Prevention of Code Injection Attacks on HTML5-Based Apps.
Proceedings of the Third International Conference on Advanced Cloud and Big Data, 2015

2014
Detecting Mobile Malware with TMSVM.
Proceedings of the International Conference on Security and Privacy in Communication Networks, 2014

A dynamic execution offloading model for efficient mobile cloud computing.
Proceedings of the IEEE Global Communications Conference, 2014

2013
Corrigendum to "A variable-length model for masquerade detection" [J. Syst. Softw. 85(2012) 2470-2478].
J. Syst. Softw., 2013

2012
A variable-length model for masquerade detection.
J. Syst. Softw., 2012


  Loading...