Tong Chen

Orcid: 0000-0001-7269-146X

Affiliations:
  • University of Queensland, Brisbane, QLD, Australia


According to our database1, Tong Chen authored at least 79 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
IEEE Trans. Knowl. Data Eng., February, 2024

Self-Supervised Learning for Recommender Systems: A Survey.
IEEE Trans. Knowl. Data Eng., January, 2024

TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT.
IEEE Trans. Ind. Informatics, January, 2024

Budgeted Embedding Table For Recommender Systems.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics, November, 2023

Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution.
IEEE Trans. Knowl. Data Eng., September, 2023

Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Spatial-temporal meta-path guided explainable crime prediction.
World Wide Web (WWW), July, 2023

Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2023

DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs.
IEEE Trans. Knowl. Data Eng., March, 2023

Decentralized Collaborative Learning Framework for Next POI Recommendation.
ACM Trans. Inf. Syst., 2023

ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences.
ACM Trans. Inf. Syst., 2023

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning.
IEEE Trans. Knowl. Data Eng., 2023

Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation.
CoRR, 2023

Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation.
CoRR, 2023

Graph Condensation for Inductive Node Representation Learning.
CoRR, 2023

Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs.
CoRR, 2023

Explicit Knowledge Graph Reasoning for Conversational Recommendation.
CoRR, 2023

Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling.
CoRR, 2023

DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Continuous Input Embedding Size Search For Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Fast-adapting and privacy-preserving federated recommender system.
VLDB J., 2022

Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data.
IEEE Trans. Smart Grid, 2022

Exploiting Positional Information for Session-Based Recommendation.
ACM Trans. Inf. Syst., 2022

Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation.
ACM Trans. Inf. Syst., 2022

Social Boosted Recommendation With Folded Bipartite Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent.
IEEE J. Biomed. Health Informatics, 2022

Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs.
ACM Trans. Intell. Syst. Technol., 2022

Self-supervised Graph-based Point-of-interest Recommendation.
CoRR, 2022

A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics.
CoRR, 2022

Unified Question Generation with Continual Lifelong Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022


PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Thinking inside The Box: Learning Hypercube Representations for Group Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
An integrated model based on deep multimodal and rank learning for point-of-interest recommendation.
World Wide Web, 2021

Attribute-aware explainable complementary clothing recommendation.
World Wide Web, 2021

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
IEEE J. Biomed. Health Informatics, 2021

Disease Prediction via Graph Neural Networks.
IEEE J. Biomed. Health Informatics, 2021

PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion.
CoRR, 2021

Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation.
CoRR, 2021

Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling.
CoRR, 2021

Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph.
CoRR, 2021

Graph Embedding for Recommendation against Attribute Inference Attacks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning to Ask Appropriate Questions in Conversational Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Elastic Embeddings for Customizing On-Device Recommenders.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Lightweight Self-Attentive Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Sequence modelling for e-commerce
PhD thesis, 2020

CRSAL: Conversational Recommender Systems with Adversarial Learning.
ACM Trans. Inf. Syst., 2020

Online sales prediction via trend alignment-based multitask recurrent neural networks.
Knowl. Inf. Syst., 2020

Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Try This Instead: Personalized and Interpretable Substitute Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Sequence-Aware Factorization Machines for Temporal Predictive Analytics.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Decentralized Embedding Framework for Large-Scale Networks.
Proceedings of the Database Systems for Advanced Applications, 2020

Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Streaming Session-based Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Inferring Substitutable Products with Deep Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

AIR: Attentional Intention-Aware Recommender Systems.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Exploiting Centrality Information with Graph Convolutions for Network Representation Learning.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

What Can History Tell Us?
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
CoRR, 2017

People Opinion Topic Model: Opinion based User Clustering in Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017


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