Xinxing Yang

Orcid: 0009-0005-9519-4526

According to our database1, Xinxing Yang authored at least 38 papers between 2003 and 2024.

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Bibliography

2024
GraphCL-DTA: A Graph Contrastive Learning With Molecular Semantics for Drug-Target Binding Affinity Prediction.
IEEE J. Biomed. Health Informatics, August, 2024

Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

GATS: Generative Audience Targeting System for Online Advertising.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Self-Supervised Learning for Label Sparsity in Computational Drug Repositioning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

The Computational Drug Repositioning Without Negative Sampling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

The Neural Metric Factorization for Computational Drug Repositioning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

The Graph Convolutional Network with Multi-representation Alignment for Drug Synergy Prediction.
CoRR, 2023

The Balanced Matrix Factorization for Computational Drug Repositioning.
CoRR, 2023

GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

ALT: An Automatic System for Long Tail Scenario Modeling.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Task-Aware Attention-Based Method for Improved Meta-Learning.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
The Neural Metric Factorization for Computational Drug Repositioning.
CoRR, 2021

A Classification Based Ensemble Pruning Framework with Multi-metric Consideration.
Proceedings of the Intelligent Systems and Applications, 2021

Constraint-Adaptive Rule Mining in Large Databases.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.
CoRR, 2020

Hybrid attentional memory network for computational drug repositioning.
BMC Bioinform., 2020

SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial.
Proc. VLDB Endow., 2019

Additional Neural Matrix Factorization model for computational drug repositioning.
BMC Bioinform., 2019

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
A Local Online Learning Approach for Non-linear Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Heterogeneous Graph Neural Networks for Malicious Account Detection.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

POSTER: Actively Detecting Implicit Fraudulent Transactions.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Large scale app recommendation in Ant Financial.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2008
A decoder for large vocabulary continuous short message dictation on embedded devices.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Mandarin short message dictation on Symbian series 60 mobile phones.
Proceedings of the 4th International Conference on Mobile Technology, 2007

2006
Reliability investigation and characterization of failure modes in Schottky diodes.
Microelectron. Reliab., 2006

2004
Improved approximate QR-LS algorithms for adaptive filtering.
IEEE Trans. Circuits Syst. II Express Briefs, 2004

Lifetime acceleration model for HAST tests of a pHEMT process.
Microelectron. Reliab., 2004

2003
Transform domain approximate QR-LS adaptive filtering algorithm.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

A new QR-based block least mean squares (QR-BLMS) algorithm for adaptive parameter estimation.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003


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