Haoyi Xiong
Orcid: 0000-0002-5451-3253
According to our database1,
Haoyi Xiong
authored at least 184 papers
between 2008 and 2024.
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Bibliography
2024
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network.
IEEE Trans. Knowl. Data Eng., May, 2024
P<sup>2</sup>ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos.
ACM Trans. Multim. Comput. Commun. Appl., April, 2024
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer.
Mach. Learn. Sci. Technol., March, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Towards accurate knowledge transfer via target-awareness representation disentanglement.
Mach. Learn., February, 2024
Mach. Intell. Res., February, 2024
Data Min. Knowl. Discov., 2024
CoRR, 2024
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training.
CoRR, 2024
CoRR, 2024
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
IEEE Trans. Knowl. Data Eng., December, 2023
Pattern Recognit., December, 2023
CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity.
BMC Bioinform., December, 2023
IEEE Trans. Intell. Transp. Syst., November, 2023
IEEE Trans. Mob. Comput., September, 2023
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models.
Mach. Learn., June, 2023
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network.
IEEE Trans. Knowl. Data Eng., May, 2023
Cross-model consensus of explanations and beyond for image classification models: an empirical study.
Mach. Learn., May, 2023
Data Min. Knowl. Discov., May, 2023
Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing.
IEEE/ACM Trans. Netw., April, 2023
IEEE Trans. Serv. Comput., 2023
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.
IEEE Trans. Serv. Comput., 2023
IEEE Trans. Multim., 2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
IEEE Trans. Cloud Comput., 2023
Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data.
Int. J. Geogr. Inf. Sci., 2023
CoRR, 2023
CoRR, 2023
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability.
CoRR, 2023
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors.
Artif. Intell., 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
M<sup>4</sup>: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
S<sup>2</sup>phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data.
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
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples.
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
GS<sup>2</sup>P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Trans. Mach. Learn. Res., 2022
GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training.
ACM Trans. Knowl. Discov. Data, 2022
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks.
ACM Trans. Knowl. Discov. Data, 2022
Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization.
Neural Process. Lett., 2022
Mach. Learn., 2022
Knowl. Inf. Syst., 2022
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.
Knowl. Inf. Syst., 2022
HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices.
IEEE Internet Things J., 2022
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
Neurocomputing, 2022
CoRR, 2022
P<sup>2</sup>A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos.
CoRR, 2022
CoRR, 2022
CoRR, 2022
SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System.
CoRR, 2022
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022
Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Multim., 2021
ACM Trans. Knowl. Discov. Data, 2021
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation.
ACM Trans. Intell. Syst. Technol., 2021
CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Idle Duration Prediction for Manufacturing System Using a Gaussian Mixture Model Integrated Neural Network for Energy Efficiency Improvement.
IEEE Trans Autom. Sci. Eng., 2021
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow.
Mach. Learn., 2021
Generalising combinatorial discriminant analysis through conditioning truncated Rayleigh flow.
Knowl. Inf. Syst., 2021
IEEE Internet Things J., 2021
CoRR, 2021
Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization.
CoRR, 2021
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
CoRR, 2021
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples.
CoRR, 2021
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.
CoRR, 2021
Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases.
Appl. Intell., 2021
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China.
Proceedings of the IEEE International Conference on Digital Health, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
Online barrier-actor-critic learning for <i>H</i><sub>∞</sub> control with full-state constraints and input saturation.
J. Frankl. Inst., 2020
Adaptive singularity-free controller design of constrained nonlinear systems with prescribed performance.
Neurocomputing, 2020
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction.
CoRR, 2020
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement.
CoRR, 2020
CoRR, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019
$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing.
IEEE Trans. Neural Networks Learn. Syst., 2019
The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation.
CoRR, 2019
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks.
CoRR, 2019
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent.
CoRR, 2019
Comput. Ind. Eng., 2019
Proceedings of the 2019 IEEE SmartWorld, 2019
Proceedings of the IEEE Real-Time Systems Symposium, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Delta: Deep Learning Transfer using Feature Map with Attention for Convolutional Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Wirel. Commun. Mob. Comput., 2018
Multi-Objective Optimization Based Allocation of Heterogeneous Spatial Crowdsourcing Tasks.
IEEE Trans. Mob. Comput., 2018
Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance.
IEEE Trans. Mob. Comput., 2018
SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing.
ACM Trans. Intell. Syst. Technol., 2018
ACM Trans. Embed. Comput. Syst., 2018
Optimal scheduling of manufacturing and onsite generation systems in over-generation mitigation oriented electricity demand response program.
Comput. Ind. Eng., 2018
Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate.
Proceedings of the 2018 IEEE Real-Time Systems Symposium, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data.
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 11th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018
2017
ecoSense: Minimize Participants' Total 3G Data Cost in Mobile Crowdsensing Using Opportunistic Relays.
IEEE Trans. Syst. Man Cybern. Syst., 2017
<i>Daehr</i>: A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders.
ACM Trans. Intell. Syst. Technol., 2017
FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification.
CoRR, 2017
IEEE Commun. Mag., 2017
Proceedings of the 2017 IEEE SmartWorld, 2017
Proceedings of the 2017 IEEE SmartWorld, 2017
Integrating Cache-Related Preemption Delay into GEDF Analysis for Multiprocessor Scheduling with On-chip Cache.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 29th Euromicro Conference on Real-Time Systems, 2017
Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
IEEE Trans. Mob. Comput., 2016
IEEE Internet Things J., 2016
Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis.
CoRR, 2016
CT-Mapper: Mapping sparse multimodal cellular trajectories using a multilayer transportation network.
Comput. Commun., 2016
Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
2015
Near-optimal mobile crowdsensing : design framework and algorithms. (Quasi-optimal mobile crowdsensing : cadre de conception et algorithmes).
PhD thesis, 2015
effSense: A Novel Mobile Crowd-Sensing Framework for Energy-Efficient and Cost-Effective Data Uploading.
IEEE Trans. Syst. Man Cybern. Syst., 2015
EMC<sup>3</sup>: Energy-Efficient Data Transfer in Mobile Crowdsensing under Full Coverage Constraint.
IEEE Trans. Mob. Comput., 2015
ACM Trans. Intell. Syst. Technol., 2015
IEEE Trans. Computers, 2015
CrowdTasker: Maximizing coverage quality in Piggyback Crowdsensing under budget constraint.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communications, 2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
CrowdRecruiter: selecting participants for piggyback crowdsensing under probabilistic coverage constraint.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
2013
CRUC: Cold-start Recommendations Using Collaborative Filtering in Internet of Things.
CoRR, 2013
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013
2012
Proceedings of the 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, 2012
Proceedings of the ACM SIGCOMM 2012 Conference, 2012
2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008