Tong Chen
Orcid: 0000-0001-7269-146XAffiliations:
- University of Queensland, Brisbane, QLD, Australia
According to our database1,
Tong Chen
authored at least 109 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
ACM Trans. Intell. Syst. Technol., August, 2024
IEEE Trans. Knowl. Data Eng., July, 2024
IEEE Trans. Knowl. Data Eng., May, 2024
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
IEEE Trans. Knowl. Data Eng., February, 2024
IEEE Trans. Knowl. Data Eng., January, 2024
IEEE Trans. Ind. Informatics, January, 2024
CoRR, 2024
CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs.
CoRR, 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
CoRR, 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
CoRR, 2024
CAAI Trans. Intell. Technol., 2024
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics, November, 2023
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
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
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
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
CoRR, 2023
CoRR, 2023
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs.
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
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
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data.
Proceedings of the IEEE International Conference on Data Mining, 2023
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 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
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data.
IEEE Trans. Smart Grid, 2022
ACM Trans. Inf. Syst., 2022
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation.
ACM Trans. Inf. Syst., 2022
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
A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
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
World Wide Web, 2021
IEEE J. Biomed. Health Informatics, 2021
IEEE J. Biomed. Health Informatics, 2021
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
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021
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
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
ACM Trans. Inf. Syst., 2020
Online sales prediction via trend alignment-based multitask recurrent neural networks.
Knowl. Inf. Syst., 2020
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
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Estimating the Binding and Unbinding Rate of Motor Protein from Mitochondrial Motion.
Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
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
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
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
Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019
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
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