Runze Wu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2024
Synergy-Payoff-Maximization-Based Rechargeable Adaptive Energy-Efficient Dual-Mode Data Gathering Using Renewable Energy Sources.
IEEE Internet Things J., November, 2024

VESPA: A General System for Vision-Based Extrasensory Perception Anticheating in Online FPS Games.
IEEE Trans. Games, September, 2024

Privacy-preserving medical diagnosis system with Gaussian kernel-based support vector machine.
Peer Peer Netw. Appl., September, 2024

MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games.
ACM Trans. Intell. Syst. Technol., August, 2024

CORAL: Collaborative Automatic Labeling System based on Large Language Models.
Proc. VLDB Endow., August, 2024

Learning-Based Terminal-Edge Collaborative Energy-Efficient Routing Algorithm for Green RWSN.
IEEE Trans. Ind. Informatics, June, 2024

SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations.
ACM Trans. Inf. Syst., May, 2024

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

Adaptive Payoff Balance Among Mobile Wireless Chargers for Rechargeable Wireless Sensor Networks.
IEEE Internet Things J., February, 2024

All-trans retinoic acid acts as a dual-purpose inhibitor of SARS-CoV-2 infection and inflammation.
Comput. Biol. Medicine, February, 2024

Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry.
Multim. Tools Appl., January, 2024

Deep reinforcement learning based trajectory design and resource allocation for task-aware multi-UAV enabled MEC networks.
Comput. Commun., January, 2024

Evaluation of a novel PET tracer [18F]-Florbetazine for Alzheimer's disease diagnosis and β-amyloid deposition quantification.
NeuroImage, 2024

Rank Aggregation in Crowdsourcing for Listwise Annotations.
CoRR, 2024

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.
CoRR, 2024

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards Specular Highlight Removal Through Diffusion Model.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Temporal Uplift Modeling for Online Marketing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CoMAL: Contrastive Active Learning for Multi-Label Text Classification.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unbiased Multi-Label Learning from Crowdsourced Annotations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Realistic Model Selection for Semi-supervised Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Geometry-Aware Representations for New Intent Discovery.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Deep learning applications in games: a survey from a data perspective.
Appl. Intell., December, 2023

Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation.
Neurocomputing, November, 2023

Stable Prediction With Leveraging Seed Variable.
IEEE Trans. Knowl. Data Eng., June, 2023

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

Learning Decomposed Representations for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng., May, 2023

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

Deep Reinforcement Learning for Aerial Data Collection in Hybrid-Powered NOMA-IoT Networks.
IEEE Internet Things J., January, 2023

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

Omni-Frequency Channel-Selection Representations for Unsupervised Anomaly Detection.
IEEE Trans. Image Process., 2023

Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service.
Sensors, 2023

Differentiated matching for individual and average treatment effect estimation.
Data Min. Knowl. Discov., 2023

Towards Long-term Annotators: A Supervised Label Aggregation Baseline.
CoRR, 2023

Examining the Effect of Pre-training on Time Series Classification.
CoRR, 2023

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.
CoRR, 2023

AutoMLP: Automated MLP for Sequential Recommendations.
Proceedings of the ACM Web Conference 2023, 2023

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

InstanT: Semi-supervised Learning with Instance-dependent Thresholds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

ProMix: Combating Label Noise via Maximizing Clean Sample Utility.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

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

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.
ACM Trans. Knowl. Discov. Data, 2022

Balance-Subsampled Stable Prediction Across Unknown Test Data.
ACM Trans. Knowl. Discov. Data, 2022

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

Payoff-maximization-based adaptive hierarchical wireless charging algorithm for mobile charger in IoT.
IET Commun., 2022

TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective.
CoRR, 2022

Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 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

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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

MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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

Task-Aware Multi-UAV Cooperative Computing: A Learning-Based Trajectory and Resource Optimization.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

Energy Harvesting-Based UAV-Assisted Vehicular Edge Computing: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

Task-Oriented Computation Offloading and Resource Management in D2D-Assisted Heterogeneous Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

Learning-Based Trajectory Design and Time Allocation in UAV-Supported Wireless Powered NOMA-IoT Networks.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 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

Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention 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
A MECS redistribution algorithm for SDN-enable MEC using response time and transmission overhead.
Wirel. Networks, 2021

Determinants of the Intention to Use Cross-Border Mobile Payments in Korea among Chinese Tourists: An Integrated Perspective of UTAUT2 with TTF and ITM.
J. Theor. Appl. Electron. Commer. Res., 2021

RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System.
CoRR, 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

Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective.
Proceedings of the IEEE International Conference on Data Mining, 2021

Prior Aided Streaming Network for Multi-task Affective Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 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
Critical nodes identification for vulnerability analysis of power communication networks.
IET Commun., 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

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
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

2018
Fuzzy Cognitive Diagnosis for Modelling Examinee Performance.
ACM Trans. Intell. Syst. Technol., 2018

Resource Allocation for Relay-Aided Cooperative Systems Based on Multi-Objective Optimization.
KSII Trans. Internet Inf. Syst., 2018

Confidence-Aware Matrix Factorization for Recommender Systems.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Optimal Spectrum Allocation of Cognitive Radio Network Under Underlay Model.
Wirel. Pers. Commun., 2017

A Spectrum-Sharing Approach in Heterogeneous Networks Based on Multi-Objective Optimization.
IEICE Trans. Commun., 2017

Forecasting Network Traffic at Large Time Scales by Using Dual-Related Method.
IEICE Trans. Commun., 2017

Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Energy router interface model based on bidirectional flow control for intelligent park.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Energy-efficient power control in interference-limited spectrum sharing networks based on multi-objective optimization.
Proceedings of the 13th International Conference on Natural Computation, 2017

Tracking Knowledge Proficiency of Students with Educational Priors.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Spectrum sharing in heterogeneous networks based on multi-objective optimization.
Proceedings of the 19th International Symposium on Wireless Personal Multimedia Communications, 2016

An importance evaluation method combining multiple factors fusion for power communication services in smart grid.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

Collaborative Learning Team Formation: A Cognitive Modeling Perspective.
Proceedings of the Database Systems for Advanced Applications, 2016

FIM Algorithm for Multi-Source Heterogeneous Information in Power Grid Intelligent Dispatching.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016

Multi-Source and Heterogeneous Data Integration Model for Big Data Analytics in Power DCS.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016

2015
Cognitive Modelling for Predicting Examinee Performance.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2012
A novel multi-link fault-tolerant algorithm for survivability in multi-domain optical networks.
Photonic Netw. Commun., 2012

A FIPP p-cycle configuration algorithm with SRLG constraints in the optical mesh network.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

An evaluation stratagy based on AHP for intelligent substation network in power grid.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

Synergistic model of power system cloud computing based on Mobile-agent.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

A Dynamic Bandwidth Allocation Scheme for GPON Based on Traffic Prediction.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012


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