Peng Zhang

Work

Guangzhou University

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Professor

China

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Alibaba Group and Ant Group

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Senior staff engineer

China

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University of Technology Sydney

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Lecturer

Australia

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Chinese Academy of Sciences

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Associate Professor

China

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Chinese Academy of Sciences

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Assistant Professor

China

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Publications

A data-centric framework of improving graph neural networks for knowledge graph embedding

World Wide Web

journal-article

FedMTPP: Federated Multivariate Temporal Point Processes for Distributed Event Sequence Forecasting

IEEE Transactions on Mobile Computing

journal-article

Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction

Proceedings of the International Joint Conference on Neural Networks

conference-paper

Graph-Augmented Contrastive Clustering for Time Series Data

SSRN

other

Ibpl: Information Bottleneck-Based Prompt Learning for Graph Out-of-Distribution Detection

SSRN

other

META STRUCTURE SEARCH FOR LINK WEIGHT PREDICTION IN HETEROGENEOUS GRAPHS

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

conference-paper

Neural Jump-Diffusion Temporal Point Processes

Proceedings of Machine Learning Research

conference-paper

Open-world structured sequence learning via dense target encoding

Information Sciences

journal-article

Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services

Proceedings of the IEEE International Conference on Web Services, ICWS

conference-paper

Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification

IEEE Transactions on Neural Networks and Learning Systems

journal-article

A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

conference-paper

Action Functional as an Early Warning Indicator in the Space of Probability Measures via Schrödinger Bridge

arXiv

other

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding

arXiv

other

Combinatorial Optimization with Automated Graph Neural Networks

arXiv

other

Deep reinforcement learning in finite-horizon to explore the most probable transition pathway

Physica D: Nonlinear Phenomena

journal-article

Decision-focused Graph Neural Networks for Combinatorial Optimization∗

arXiv

other

Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks

arXiv

other

Graph Neural Architecture Search with GPT-4

arXiv

other

Model-based reinforcement learning with non-Gaussian environment dynamics and its application to portfolio optimization

Chaos

journal-article

Multi-Aspect Heterogeneous Graph Augmentation

ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023

conference-paper

Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences

Proceedings - IEEE International Conference on Data Mining, ICDM

conference-paper

Multivariate Time Series Anomaly Detection with Fourier Time Series Transformer

2023 IEEE 12th International Conference on Cloud Networking, CloudNet 2023

conference-paper

Training Compact DNNs with ℓ1/2 Regularization

Pattern Recognition

journal-article

Model Based Reinforcement Learning with Non-Gaussian Environment Dynamics and its Application to Portfolio Optimization

arXiv

other

Graph-Augmented Contrastive Clustering for Time Series

SSRN

other

An attentional-walk-based autoencoder for community detection

Applied Intelligence

journal-article

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing

ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023

conference-paper

Decision-focused Graph Neural Networks for Graph Learning and Optimization

Proceedings - IEEE International Conference on Data Mining, ICDM

conference-paper

Deep Reinforcement Learning in Finite-Horizon to Explore the Most Probable Transition Pathway

arXiv

other

Deep metric learning with mirror attention and fine triplet loss for fundus image retrieval in ophthalmology

Biomedical Signal Processing and Control

journal-article

Early Warning Prediction with Automatic Labeling in Epilepsy Patients

arXiv

other

Ethereum fraud behavior detection based on graph neural networks

Computing

journal-article

Federated learning with ℓ1 regularization

Pattern Recognition Letters

journal-article

GIPA: A General Information Propagation Algorithm for Graph Learning

arXiv

other

GIPA: A General Information Propagation Algorithm for Graph Learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

conference-paper

Graph-Augmented Contrastive Clustering for Time Series

SSRN

other

GraphNAS++: Distributed Architecture Search for Graph Neural Networks

IEEE Transactions on Knowledge and Data Engineering

journal-article

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks

IEEE Transactions on Knowledge and Data Engineering

journal-article

Heterogeneous Graph Neural Architecture Search with GPT-4

arXiv

other

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences

Proceedings - IEEE International Conference on Data Mining, ICDM

conference-paper

A Random-Walk-Based Heterogeneous Attention Network for Community Detection

Communications in Computer and Information Science

conference-paper

Anomaly Detection from Log Data Sequences with Perturbations

Proceedings - 2022 7th IEEE International Conference on Data Science in Cyberspace, DSC 2022

conference-paper

Discrete embedding for attributed graphs

Pattern Recognition

journal-article

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks

Information Sciences

journal-article

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events

IJCAI International Joint Conference on Artificial Intelligence

conference-paper

Anomaly detection in dynamic attributed networks

Neural Computing and Applications

journal-article

Crawler Detection in Location-Based Services Using Attributed Action Net

International Conference on Information and Knowledge Management, Proceedings

conference-paper

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences

Proceedings - IEEE International Conference on Data Mining, ICDM

conference-paper

From Community Search to Community Understanding: A Multimodal Community Query Engine

International Conference on Information and Knowledge Management, Proceedings

conference-paper

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation

International Conference on Information and Knowledge Management, Proceedings

conference-paper

GIPA: General information propagation algorithm for graph learning

arXiv

other

Graph Neural Network for Ethereum Fraud Detection

Proceedings - 12th IEEE International Conference on Big Knowledge, ICBK 2021

conference-paper

GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy

arXiv

other

Heterogeneous Graph Neural Architecture Search

Proceedings - IEEE International Conference on Data Mining, ICDM

conference-paper

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

conference-paper

Path-based Deep Network for Candidate Item Matching in Recommenders

SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

conference-paper

Path-based deep network for candidate item matching in recommenders

arXiv

other

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network

ACM International Conference Proceeding Series

conference-paper

TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents

ACM Transactions on Intelligent Systems and Technology

journal-article

TTNet: Tabular Transfer Network for Few-samples Prediction

ACM International Conference Proceeding Series

conference-paper

Towards embedding information diffusion data for understanding big dynamic networks

Neurocomputing

journal-article

What Happens behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline

The Web Conference 2021 - Companion of the World Wide Web Conference, WWW 2021

conference-paper

Discrete embedding for latent networks

IJCAI International Joint Conference on Artificial Intelligence

conference-paper

Dual Implicit Mining-Based Latent Friend Recommendation

IEEE Transactions on Systems, Man, and Cybernetics: Systems

journal-article

Graph neural architecture search

IJCAI International Joint Conference on Artificial Intelligence

conference-paper

A neural translating general hyperplane for knowledge graph embedding

Journal of Computational Science

journal-article

GraphNAS: Graph neural architecture search with reinforcement learning

arXiv

other

Learning Shapelet Patterns from Network-Based Time Series

IEEE Transactions on Industrial Informatics

journal-article

Low-bit quantization for attributed network representation learning

IJCAI International Joint Conference on Artificial Intelligence

conference-paper

Salient Subsequence Learning for Time Series Clustering

IEEE Transactions on Pattern Analysis and Machine Intelligence

journal-article

Transformed ℓ1 regularization for learning sparse deep neural networks

Neural Networks

journal-article

Transformed ℓ1 regularization for learning sparse deep neural networks

arXiv

other

Adaboost-LLP: A boosting method for learning with label proportions

IEEE Transactions on Neural Networks and Learning Systems

journal-article

Binarized attributed network embedding

Proceedings - IEEE International Conference on Data Mining, ICDM

conference-paper

Diffusion based network embedding

arXiv

other

Dual influence embedded social recommendation

World Wide Web

journal-article

Feature Selection with ℓ2,1?2 Regularization

IEEE Transactions on Neural Networks and Learning Systems

journal-article

Data Mining on ICU Mortality Prediction Using Early Temporal Data: A Survey

International Journal of Information Technology and Decision Making

journal-article

Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data

Data Mining and Knowledge Discovery

journal-article

Toward value difference metric with attribute weighting

Knowledge and Information Systems

journal-article

Inferring latent network from cascade data for dynamic social recommendation

Proceedings - IEEE International Conference on Data Mining, ICDM

conference-paper

Self-adaptive attribute weighting for Naive Bayes classification

Expert Systems with Applications

journal-article

Evolving Chinese restaurant processes for modeling evolutionary traces in temporal data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

conference-paper

Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach

Journal of Computational Science

journal-article

Mining streams of short text for analysis of world-wide event evolutions

World Wide Web

journal-article

Modeling infinite topics on social behavior data with spatio-temporal dependence

International Conference on Information and Knowledge Management, Proceedings

conference-paper

Modelling semantics across multiple time series and its applications

Knowledge-Based Systems

journal-article

On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization

IEEE Transactions on Knowledge and Data Engineering

journal-article

Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction

Proceedings - IEEE International Conference on Data Mining, ICDM

conference-paper