Jun Zhou
Orcid: 0000-0001-6033-6102Affiliations:
- Ant Financial Services Group, AI Department (Beijing), China
According to our database1,
Jun Zhou
authored at least 285 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Knowl. Data Eng., December, 2024
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
IEEE Trans. Knowl. Data Eng., April, 2024
Expert Syst. Appl., March, 2024
IEEE Trans. Dependable Secur. Comput., 2024
Finite Element Method on locally refined composite meshes for Dirichlet fractional Laplacian.
J. Comput. Sci., 2024
CoRR, 2024
CoRR, 2024
Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector.
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
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
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
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
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
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
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
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
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
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
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
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
Expert Syst. Appl., December, 2023
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
IEEE Trans. Knowl. Data Eng., 2023
IEEE Trans. Knowl. Data Eng., 2023
IEEE Trans. Dependable Secur. Comput., 2023
IEEE Trans. Dependable Secur. Comput., 2023
Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression.
Expert Syst. Appl., 2023
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
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
AntM<sup>2</sup>C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction.
CoRR, 2023
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine.
CoRR, 2023
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
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
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
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
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
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
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
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
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
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
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
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
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
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
Proceedings of the Database Systems for Advanced Applications, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
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
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
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
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
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
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
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
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
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
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
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
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
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
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
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
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
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
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
Proceedings of the Asian Conference on Machine Learning, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Peer-to-Peer Netw. Appl., 2021
Int. J. Pattern Recognit. Artif. Intell., 2021
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback.
CoRR, 2021
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
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
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
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
Proceedings of the Intelligent Systems and Applications, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
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
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
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021
2020
ACM Trans. Intell. Syst. Technol., 2020
Proc. VLDB Endow., 2020
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
CoRR, 2020
CoRR, 2020
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control.
CoRR, 2020
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.
CoRR, 2020
Proceedings of the Companion of The 2020 Web Conference 2020, 2020
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
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
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
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
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
Proc. VLDB Endow., 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
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
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
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
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
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
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.
CoRR, 2018
CoRR, 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
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
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
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
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
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
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
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017