Jun Zhou

Orcid: 0000-0001-6033-6102

Affiliations:
  • Ant Financial Services Group, AI Department (Beijing), China


According to our database1, Jun Zhou authored at least 282 papers between 2017 and 2024.

Collaborative distances:

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Bibliography

2024
Description-Enhanced Label Embedding Contrastive Learning for Text Classification.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications.
Int. J. Mach. Learn. Cybern., August, 2024

Multi-Task Decouple Learning With Hierarchical Attentive Point Process.
IEEE Trans. Knowl. Data Eng., April, 2024

A distribution-free method for probabilistic prediction.
Expert Syst. Appl., March, 2024

Finite Element Method on locally refined composite meshes for Dirichlet fractional Laplacian.
J. Comput. Sci., 2024

Prompting DirectSAM for Semantic Contour Extraction in Remote Sensing Images.
CoRR, 2024

Making Large Vision Language Models to be Good Few-shot Learners.
CoRR, 2024

Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector.
CoRR, 2024

Personalized Binomial DAGs Learning with Network Structured Covariates.
CoRR, 2024

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts.
CoRR, 2024

Your decision path does matter in pre-training industrial recommenders with multi-source behaviors.
CoRR, 2024

Scale-Invariant Feature Disentanglement via Adversarial Learning for UAV-based Object Detection.
CoRR, 2024

AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.
CoRR, 2024

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
CoRR, 2024

MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.
CoRR, 2024

A Comprehensive Study of Knowledge Editing for Large Language Models.
CoRR, 2024

Calibrating Graph Neural Networks from a Data-centric Perspective.
Proceedings of the ACM on Web Conference 2024, 2024

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Can Small Language Models be Good Reasoners for Sequential Recommendation?
Proceedings of the ACM on Web Conference 2024, 2024

Aligned Side Information Fusion Method for Sequential Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Invariant Graph Learning for Causal Effect Estimation.
Proceedings of the ACM on Web Conference 2024, 2024

Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 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

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Adaptively Denoising Graph Neural Networks for Knowledge Distillation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Modeling Treatment Effect with Cross-Domain Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A High-Performance ORB Accelerator with Algorithm and Hardware Co-design for Visual Localization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Keypoint-based Progressive Chain-of-Thought Distillation for LLMs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

EasyTPP: Towards Open Benchmarking Temporal Point Processes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction.
Proceedings of the Database Systems for Advanced Applications, 2024

Efficient Model Stealing Defense with Noise Transition Matrix.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-view Temporal Knowledge Graph Reasoning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Bi-objective evolutionary Bayesian network structure learning via skeleton constraint.
Frontiers Comput. Sci., December, 2023

GINT: A Generative Interpretability method via perturbation in the latent space.
Expert Syst. Appl., December, 2023

Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks.
IEEE Trans. Knowl. Data Eng., September, 2023

GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing.
ACM Trans. Archit. Code Optim., September, 2023

A Unified Framework for Cross-Domain and Cross-System Recommendations.
IEEE Trans. Knowl. Data Eng., 2023

EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis.
IEEE Trans. Knowl. Data Eng., 2023

Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study.
IEEE Trans. Dependable Secur. Comput., 2023

Your Labels are Selling You Out: Relation Leaks in Vertical Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2023

SQLFlow: An Extensible Toolkit Integrating DB and AI.
J. Mach. Learn. Res., 2023

Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression.
Expert Syst. Appl., 2023

An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training.
CoRR, 2023

Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation.
CoRR, 2023

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.
CoRR, 2023

Data-Centric Financial Large Language Models.
CoRR, 2023

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems.
CoRR, 2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt.
CoRR, 2023

Rethinking Memory and Communication Cost for Efficient Large Language Model Training.
CoRR, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.
CoRR, 2023

AntM<sup>2</sup>C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction.
CoRR, 2023

Enhancing Recommender Systems with Large Language Model Reasoning Graphs.
CoRR, 2023

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine.
CoRR, 2023

Continual Learning in Predictive Autoscaling.
CoRR, 2023

Federated Large Language Model: A Position Paper.
CoRR, 2023

EasyTPP: Towards Open Benchmarking the Temporal Point Processes.
CoRR, 2023

Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.
Proceedings of the ACM Web Conference 2023, 2023

DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

A Practical Rule Learning Framework for Risk Management.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Online resource allocation in Markov Chains.
Proceedings of the ACM Web Conference 2023, 2023

Improving Recommendation Fairness via Data Augmentation.
Proceedings of the ACM Web Conference 2023, 2023

Multi-Source Domain Adaptation via Latent Domain Reconstruction.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Framework for Detecting Frauds from Extremely Few Labels.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

MDI: A Debiasing Method Combining Unbiased and Biased Data.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Generative-Contrastive Graph Learning for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

COUPA: An Industrial Recommender System for Online to Offline Service Platforms.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Multi-Interest Pre-training with Sparse Capsule Network.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Alleviating Matching Bias in Marketing Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Long-Tail Augmented Graph Contrastive Learning for Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PDAS: A Practical Distributed ADMM System for Large-Scale Linear Programming Problems at Alipay.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.
Proceedings of the International Conference on Machine Learning, 2023

Towards Open Temporal Graph Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.
Proceedings of the IEEE International Conference on Data Mining, 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

InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Rule-based Decision System for Financial Applications.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data.
Proceedings of the Database Systems for Advanced Applications, 2023

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.
Proceedings of the Database Systems for Advanced Applications, 2023

Global-Aware Model-Free Self-distillation for Recommendation System.
Proceedings of the Database Systems for Advanced Applications, 2023

Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks.
Proceedings of the Database Systems for Advanced Applications, 2023

G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Treatment Effect Estimation across Domains.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Continual Learning in Predictive Autoscaling.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

FINRule: Feature Interactive Neural Rule Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
ACM Trans. Intell. Syst. Technol., 2022

FinBrain 2.0: when finance meets trustworthy AI.
Frontiers Inf. Technol. Electron. Eng., 2022

Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances.
Int. J. Pattern Recognit. Artif. Intell., 2022

A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems.
CoRR, 2022

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach.
CoRR, 2022

KGNN: Distributed Framework for Graph Neural Knowledge Representation.
CoRR, 2022

An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022.
CoRR, 2022

Robust Unsupervised Graph Representation Learning via Mutual Information Maximization.
CoRR, 2022

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Multi-Task Learning Approach for Delayed Feedback Modeling.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Scope-aware Re-ranking with Gated Attention in Feed.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Label Inference Attacks Against Vertical Federated Learning.
Proceedings of the 31st USENIX Security Symposium, 2022

Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural Graph Matching for Pre-training Graph Neural Networks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

TAMOR: Tier-Aware Multi-objective Recommendation for Ant Fortune Financial Marketing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

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

Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Graph Learning Based Framework for Billion-Scale Offline User Identification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MERIT: Learning Multi-level Representations on Temporal Graphs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Attribute-Conditioned Face Swapping Network for Low-Resolution Images.
Proceedings of the IEEE International Conference on Acoustics, 2022

Zeroth-order covariance matrix adaptation evolution strategy for single objective bound constrained numerical optimization competition.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Opposite learning and multi-migrating strategy-based self-organizing migrating algorithm with the convergence monitoring mechanism.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

NL-SOMA-CLP for real parameter single objective bound constrained optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

BadDet: Backdoor Attacks on Object Detection.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

A Self-adaptive Indicator Selection Approach for Solving Credit Risk Assessment.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Task Similarity Aware Meta Learning for Cold-Start Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 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 Real-time Post-processing System for Itinerary Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Semi-Supervised Learning with Data Augmentation for Tabular Data.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Biased Sampling Method for Imbalanced Personalized Ranking.
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

Robust Direct Learning for Causal Data Fusion.
Proceedings of the Asian Conference on Machine Learning, 2022

Robust Heterogeneous Graph Neural Networks against Adversarial Attacks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

SAIL: Self-Augmented Graph Contrastive Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
ASFGNN: Automated separated-federated graph neural network.
Peer-to-Peer Netw. Appl., 2021

A Boosting Framework of Factorization Machine.
Int. J. Pattern Recognit. Artif. Intell., 2021

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback.
CoRR, 2021

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation.
CoRR, 2021

PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method.
CoRR, 2021

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.
Proceedings of the WSDM '21, 2021

Learning to Select Instance: Simultaneous Transfer Learning and Clustering.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Temporal-Aware Graph Neural Network for Credit Risk Prediction.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Inductive Link Prediction with Interactive Structure Learning on Attributed Graph.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Cross-Domain Recommendation: Challenges, Progress, and Prospects.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Rethinking the Effectiveness of Selective Attention in Neural Networks.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Simtrojan: Stealthy Backdoor Attack.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

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

Improving Transferability of Adversarial Patches on Face Recognition With Generative Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AntOpt: A Multi-functional Large-scale Decision Optimization Platform.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Low-dimensional Alignment for Cross-Domain Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Large-scale Secure XGB for Vertical Federated Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Graph Attention Network Model for GMV Forecast on Online Shopping Festival.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
Practical Privacy Preserving POI Recommendation.
ACM Trans. Intell. Syst. Technol., 2020

AGL: A Scalable System for Industrial-purpose Graph Machine Learning.
Proc. VLDB Endow., 2020

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
CoRR, 2020

A Comprehensive Analysis of Information Leakage in Deep Transfer Learning.
CoRR, 2020

Self-supervised Smoothing Graph Neural Networks.
CoRR, 2020

Heterogeneous Graph Neural Network for Recommendation.
CoRR, 2020

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control.
CoRR, 2020

Privacy-Preserving Graph Neural Network for Node Classification.
CoRR, 2020

A Hybrid-Domain Framework for Secure Gradient Tree Boosting.
CoRR, 2020

Secret Sharing based Secure Regressions with Applications.
CoRR, 2020

Industrial Scale Privacy Preserving Deep Neural Network.
CoRR, 2020

Practical Privacy Preserving POI Recommendation.
CoRR, 2020

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

AGL: a Scalable System for Industrial-purpose Graph Machine Learning.
CoRR, 2020

Privacy Preserving PCA for Multiparty Modeling.
CoRR, 2020

Neural Zero-Shot Fine-Grained Entity Typing.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Data-Free Adversarial Perturbations for Practical Black-Box Attack.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Bandit Samplers for Training Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hubble: An Industrial System for Audience Expansion in Mobile Marketing.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

Generating Natural Language Adversarial Examples on a Large Scale with Generative Models.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Secure Social Recommendation Based on Secret Sharing.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Loan Default Analysis with Multiplex Graph Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Pruning from Scratch.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.
ACM Trans. Intell. Syst. Technol., 2019

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

A Time Attention based Fraud Transaction Detection Framework.
CoRR, 2019

Multi-Domain Gated CNN for Review Helpfulness Prediction.
Proceedings of the World Wide Web Conference, 2019

Uncovering Insurance Fraud Conspiracy with Network Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Reinforcement Learning for User Intent Prediction in Customer Service Bots.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

RNE: A Scalable Network Embedding for Billion-Scale Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

How Much Can A Retailer Sell? Sales Forecasting on Tmall.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Semi-Supervised Graph Attentive Network for Financial Fraud Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

DSSLP: A Distributed Framework for Semi-supervised Link Prediction.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Adapted Tree Boosting for Transfer Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 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

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Review Helpfulness Prediction with Embedding-Gated CNN.
CoRR, 2018

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.
CoRR, 2018

Feature Propagation on Graph: A New Perspective to Graph Representation Learning.
CoRR, 2018

A Boosting Framework of Factorization Machine.
CoRR, 2018

Time-sensitive Customer Churn Prediction based on PU Learning.
CoRR, 2018

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.
CoRR, 2018

Anomaly Detection with Partially Observed Anomalies.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

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

Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Distributed Collaborative Hashing and Its Applications in Ant Financial.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay.
Proceedings of the Database Systems for Advanced Applications, 2018

Unpack Local Model Interpretation for GBDT.
Proceedings of the Database Systems for Advanced Applications, 2018

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

NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier.
CoRR, 2017

PSMART: Parameter Server based Multiple Additive Regression Trees System.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Investigating Stroke-Level Information for Learning Chinese Word Embeddings.
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 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

Locally Linear Factorization Machines.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

POSTER: A PU Learning based System for Potential Malicious URL Detection.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

POSTER: Practical Fraud Transaction Prediction.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 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


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