Yuan Qi
Orcid: 0009-0002-9377-5755Affiliations:
- 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:
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Bibliography
2024
Trans. Recomm. Syst., December, 2024
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
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
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
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
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
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
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
CoRR, 2021
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing.
CoRR, 2021
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
ACM Trans. Intell. Syst. Technol., 2020
Proc. VLDB Endow., 2020
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.
CoRR, 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 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
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
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
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
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 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
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
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
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 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
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
Proceedings of the 34th International Conference on Machine Learning, 2017
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
Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
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
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
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
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
Bioinform., 2013
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
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the ACM Conference on Computer and Communications Security, 2012
Proceedings of the ACM Conference on Computer and Communications Security, 2012
2011
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
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
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
EURASIP J. Adv. Signal Process., 2010
Proceedings of the Algorithms in Bioinformatics, 10th International Workshop, 2010
Proceedings of the UAI 2010, 2010
Proceedings of the 15th ACM Symposium on Access Control Models and Technologies, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
2009
Proceedings of the UAI 2009, 2009
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
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
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005
2004
Proceedings of the Machine Learning, 2004
Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004
2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
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
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
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