Tieliang Gong

Orcid: 0000-0002-3840-441X

Affiliations:

Xi'an Jiaotong University, School of Computer Science and Technology, Key Laboratory of Intelligent Networks and Network Security, Xi'an, China
Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an, China
University of Ottawa, Department of Mathematics and Statistics, Ottawa, Canada
Xi'an Jiaotong University, School of Mathematics and Statistics, Xi'an, China (PhD 2018)
Hubei University, Faculty of Mathematics and Computer Science, Wuhan, China (former)

According to our database¹, Tieliang Gong authored at least 60 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Markov Subsampling Based on Huber Criterion.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2024

E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification.

[BibT_eX]

[DOI]

Medical Image Anal., 2024

Adaptive token selection for efficient detection transformer with dual teacher supervision.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2024

Error Density-dependent Empirical Risk Minimization.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Accelerating Non-Maximum Suppression: A Graph Theory Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

SpotActor: Training-Free Layout-Controlled Consistent Image Generation.

[BibT_eX]

[DOI]

CoRR, 2024

How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Sharper Generalization Bounds for Adversarial Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, December, 2023

A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, October, 2023

Optimal Randomized Approximations for Matrix-Based Rényi's Entropy.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, July, 2023

Robust partially linear models for automatic structure discovery.

[BibT_eX]

[DOI]

Expert Syst. Appl., May, 2023

Dual Attention and Patient Similarity Network for drug recommendation.

[BibT_eX]

[DOI]

Bioinform., January, 2023

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2023

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2023

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.

[BibT_eX]

[DOI]

Medical Image Anal., 2023

Virtual prompt pre-training for prototype-based few-shot relation extraction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Tilted Sparse Additive Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Robust and Fast Measure of Information via Low-Rank Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

On the Stability and Generalization of Triplet Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

JCBIE: a joint continual learning neural network for biomedical information extraction.

[BibT_eX]

[DOI]

BMC Bioinform., December, 2022

Computationally Efficient Approximations for Matrix-Based Rényi's Entropy.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Distinguished representation of identical mentions in bio-entity coreference resolution.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2022

COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Knowledge Enhanced Coreference Resolution via Gated Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Error-Based Knockoffs Inference for Controlled Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning performance of LapSVM based on Markov subsampling.

[BibT_eX]

[DOI]

Tieliang Gong

Hong Chen

Chen Xu

Neurocomputing, 2021

Computationally Efficient Approximations for Matrix-based Renyi's Entropy.

[BibT_eX]

[DOI]

CoRR, 2021

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network.

[BibT_eX]

[DOI]

CoRR, 2021

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data.

[BibT_eX]

[DOI]

CoRR, 2021

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2021

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

PIMIP: An Open Source Platform for Pathology Information Management and Integration.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Meta Mask Correction for Nuclei Segmentation in Histopathological Image.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Modal additive models with data-driven structure identification.

[BibT_eX]

[DOI]

Tieliang Gong

Chen Xu

Hong Chen

Math. Found. Comput., 2020

Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Gradient-Based Markov Subsampling.

[BibT_eX]

[DOI]

Tieliang Gong

Quanhan Xi

Chen Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Margin Based PU Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Generalization Analysis of Fredholm Kernel Regularized Classifiers.

[BibT_eX]

[DOI]

Tieliang Gong

Zongben Xu

Hong Chen

Neural Comput., 2017

2016

Learning With ℓ<sub>1</sub>-Regularizer Based on Markov Resampling.

[BibT_eX]

[DOI]

Tieliang Gong

Bin Zou

Zongben Xu

IEEE Trans. Cybern., 2016

2012

Robust Alternative Minimization for Matrix Completion.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2012

Tieliang Gong

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