Jianrong Tao

Orcid: 0000-0003-1807-9522

According to our database1, Jianrong Tao authored at least 44 papers between 2016 and 2024.

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Bibliography

2024
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG.
ACM Trans. Knowl. Discov. Data, May, 2024

2023
Explainable AI for Cheating Detection and Churn Prediction in Online Games.
IEEE Trans. Games, June, 2023

perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games.
ACM Trans. Inf. Syst., January, 2023

Multi-Source Multi-Label Learning for User Profiling in Online Games.
IEEE Trans. Multim., 2023

A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks.
ACM Trans. Inf. Syst., 2022

Data-Driven Variable Decomposition for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng., 2022

Understanding Smartphone Users From Installed App Lists Using Boolean Matrix Factorization.
IEEE Trans. Cybern., 2022

Find Your Organization in MMORPGs.
IEEE Trans. Games, 2022

PPPNE: Personalized proximity preserved network embedding.
Neurocomputing, 2022

Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided Masking.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A GNN-Enhanced Game Bot Detection Model for MMORPGs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Few-shot Learning for Trajectory-based Mobile Game Cheating Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

EasySM: A Data-Driven Intelligent Decision Support System for Server Merge.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Player Behavior Modeling for Enhancing Role-Playing Game Engagement.
IEEE Trans. Comput. Soc. Syst., 2021

Continuous treatment effect estimation via generative adversarial de-confounding.
Data Min. Knowl. Discov., 2021

Build Your Own Bundle - A Neural Combinatorial Optimization Method.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Globally Optimized Matchmaking in Online Games.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
NGUARD+: An Attention-based Game Bot Detection Framework via Player Behavior Sequences.
ACM Trans. Knowl. Discov. Data, 2020

GraphFederator: Federated Visual Analysis for Multi-party Graphs.
CoRR, 2020

Learning Decomposed Representation for Counterfactual Inference.
CoRR, 2020

Stable Prediction via Leveraging Seed Variable.
CoRR, 2020

A Latent Feelings-aware RNN Model for User Churn Prediction with only Behaviour data.
Proceedings of the IEEE International Conference on Smart Data Services, 2020

OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Keep You from Leaving: Churn Prediction in Online Games.
Proceedings of the Database Systems for Advanced Applications, 2020

Deep Behavior Tracing with Multi-level Temporality Preserved Embedding.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Personalized Bundle Recommendation in Online Games.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-source Data Multi-task Learning for Profiling Players in Online Games.
Proceedings of the IEEE Conference on Games, 2020

XAI-Driven Explainable Multi-view Game Cheating Detection.
Proceedings of the IEEE Conference on Games, 2020

2019
Discovering Individual Life Style From Anonymized WiFi Scan Lists on Smartphones.
IEEE Access, 2019

BikeNet: Accurate Bike Demand Prediction Using Graph Neural Networks for Station Rebalancing.
Proceedings of the 2019 IEEE SmartWorld, 2019

MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
NGUARD: A Game Bot Detection Framework for NetEase MMORPGs.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Mining User Attributes Using Large-Scale APP Lists of Smartphones.
IEEE Syst. J., 2017

WHO ARE THE SMARTPHONE USERS?: Identifying user groups with apps usage behaviors.
GetMobile Mob. Comput. Commun., 2017

2016
Discovering different kinds of smartphone users through their application usage behaviors.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016


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