Yuan Qi

Orcid: 0009-0002-9377-5755

Affiliations:
  • Fudan University, AI3 Institute, Shanghai, China
  • Ant Financial Services Group, Hangzhou, China (former)
  • Purdue University, Department of Computer Science and Statistics, West Lafayette, IN, USA (former)
  • Massachusetts Institute of Technology (MIT), Cambridge, MA, USA (PhD 2005)


According to our database1, Yuan Qi authored at least 130 papers between 2001 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Incentive-Aware Recommender Systems in Two-Sided Markets.
Trans. Recomm. Syst., December, 2024

Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization.
IEEE Trans. Knowl. Data Eng., May, 2024

Unraveling the motion and deformation characteristics of red blood cells in a deterministic lateral displacement device.
Comput. Biol. Medicine, January, 2024

Can we only use guideline instead of shot in prompt?
CoRR, 2024

Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory.
CoRR, 2024

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though.
CoRR, 2024

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models.
CoRR, 2024

Struct-X: Enhancing Large Language Models Reasoning with Structured Data.
CoRR, 2024

AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications.
CoRR, 2024

PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations.
CoRR, 2024

Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hybrid Directional Graph Neural Network for Molecules.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023
SemiSAM: Exploring SAM for Enhancing Semi-Supervised Medical Image Segmentation with Extremely Limited Annotations.
CoRR, 2023

Segment Anything Model with Uncertainty Rectification for Auto-Prompting Medical Image Segmentation.
CoRR, 2023

FuXi: A cascade machine learning forecasting system for 15-day global weather forecast.
CoRR, 2023

Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Provably Invariant Learning without Domain Information.
Proceedings of the International Conference on Machine Learning, 2023

Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022
Incentive-Aware Recommender Systems in Two-Sided Markets.
CoRR, 2022

Design Domain Specific Neural Network via Symbolic Testing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

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

SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing.
CoRR, 2021

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

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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

Riemannian Proximal Policy Optimization.
CoRR, 2020

Intention Propagation for Multi-agent Reinforcement Learning.
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

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

Temporal Logic Point Processes.
Proceedings of the 37th International Conference on Machine Learning, 2020

Efficient Probabilistic Logic Reasoning with Graph Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Double Neural Counterfactual Regret Minimization.
Proceedings of the 8th International Conference on Learning Representations, 2020

Question Directed Graph Attention Network for Numerical Reasoning over Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 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

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

Continuous-Time Dynamic Graph Learning via Neural Interaction Processes.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Cost-Effective Incentive Allocation via Structured Counterfactual Inference.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Long Short-Term Sample Distillation.
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

Can Graph Neural Networks Help Logic Reasoning?
CoRR, 2019

Uncovering Insurance Fraud Conspiracy with Network Learning.
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

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System.
Proceedings of the 36th International Conference on Machine Learning, 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

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

Latent Dirichlet Allocation for Internet Price War.
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
Neural Model-Based Reinforcement Learning for Recommendation.
CoRR, 2018

Double Neural Counterfactual Regret Minimization.
CoRR, 2018

A Policy Gradient Method with Variance Reduction for Uplift Modeling.
CoRR, 2018

Personalized Behavior Prediction with Encoder-to-Decoder Structure.
Proceedings of the 2018 IEEE International Conference on Networking, 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

2017
DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates.
Bioinform., 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

Asynchronous Distributed Variational Gaussian Process for Regression.
Proceedings of the 34th International Conference on Machine Learning, 2017

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

2016
Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning.
J. Artif. Intell. Res., 2016

Distributed Flexible Nonlinear Tensor Factorization.
CoRR, 2016

Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Distributed Flexible Nonlinear Tensor Factorization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Annealed Sparsity via Adaptive and Dynamic Shrinking.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Bayesian Nonparametric Models for Multiway Data Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Scalable Nonparametric Multiway Data Analysis.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Bayesian Maximum Margin Principal Component Analysis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Generating Summary Risk Scores for Mobile Applications.
IEEE Trans. Dependable Secur. Comput., 2014

Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Nonparametric Bayesian Multi-Task Large-margin Classification.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties.
IEEE Trans. Knowl. Data Eng., 2013

Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis
CoRR, 2013

DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements.
CoRR, 2013

Joint network and node selection for pathway-based genomic data analysis.
Bioinform., 2013

2012
EigenGP: Gaussian processes with sparse data-dependent eigenfunctions
CoRR, 2012

Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis.
Proceedings of the 29th International Conference on Machine Learning, 2012

Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes.
Proceedings of the 29th International Conference on Machine Learning, 2012

Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Minimizing private data disclosures in the smart grid.
Proceedings of the ACM Conference on Computer and Communications Security, 2012

Using probabilistic generative models for ranking risks of Android apps.
Proceedings of the ACM Conference on Computer and Communications Security, 2012

2011
InfTucker: t-Process based Infinite Tensor Decomposition
CoRR, 2011

Sparse matrix-variate Gaussian process blockmodels for network modeling.
Proceedings of the UAI 2011, 2011

EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

t-divergence Based Approximate Inference.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

Sparse Matrix-Variate t Process Blockmodels.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Nonparametric Bayesian Matrix Factorization by Power-EP.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model.
EURASIP J. Adv. Signal Process., 2010

Cooperative Autonomous Online Learning
CoRR, 2010

Identifying Rare Cell Populations in Comparative Flow Cytometry.
Proceedings of the Algorithms in Bioinformatics, 10th International Workshop, 2010

Sparse-posterior Gaussian Processes for general likelihoods.
Proceedings of the UAI 2010, 2010

Mining roles with noisy data.
Proceedings of the 15th ACM Symposium on Access Control Models and Technologies, 2010

Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Sparse Gaussian Process Regression via L1 Penalization.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Variable sigma Gaussian processes: An expectation propagation perspective
CoRR, 2009

Virtual Vector Machine for Bayesian Online Classification.
Proceedings of the UAI 2009, 2009

Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007
Window-based expectation propagation for adaptive signal detection in flat-fading channels.
IEEE Trans. Wirel. Commun., 2007

2006
Modularity and Dynamics of Cellular Networks.
PLoS Comput. Biol., 2006

Parameter Expanded Variational Bayesian Methods.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Semi-supervised analysis of gene expression profiles for lineage-specific development in the <i>Caenorhabditis elegans</i> embryo.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005
Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Symbol detection with time-varying unknown phase by expectation propagation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Diagram Structure Recognition by Bayesian Conditional Random Fields.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Bayesian Conditional Random Fields.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Predictive automatic relevance determination by expectation propagation.
Proceedings of the Machine Learning, 2004

Contextual recognition of hand-drawn diagrams with conditional random fields.
Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004

2003
Tree-structured Approximations by Expectation Propagation.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Fully Automatic Upper Facial Action Recognition.
Proceedings of the 2003 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003), 2003

2002
Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Bayesian spectrum estimation of unevenly sampled nonstationary data.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
The Bayes Point Machine for computer-user frustration detection via pressuremouse.
Proceedings of the 2001 workshop on Perceptive user interfaces, 2001

Hybrid independent component analysis and support vector machine learning scheme for face detection.
Proceedings of the IEEE International Conference on Acoustics, 2001


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