Tieliang Gong

According to our database, Tieliang Gong authored at least 61 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Markov Subsampling Based on Huber Criterion.

Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li

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

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

Jiangbo Shi, Chen Li, Tieliang Gong, Huazhu Fu

Medical Image Anal., 2024

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

Muyao Yuan, Weizhan Zhang, Caixia Yan, Tieliang Gong, Yuanhong Zhang, Jiangyong Ying

Knowl. Based Syst., 2024

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

Jialun Wu, Xinyao Yu, Kai He, Zeyu Gao, Tieliang Gong

Inf. Process. Manag., 2024

Error Density-dependent Empirical Risk Minimization.

Hong Chen, Xuelin Zhang, Tieliang Gong, Bin Gu, Feng Zheng

Expert Syst. Appl., 2024

Rectified Diffusion Guidance for Conditional Generation.

Mengfei Xia, Nan Xue, Yujun Shen, Ran Yi, Tieliang Gong, Yong-Jin Liu

CoRR, 2024

Accelerating Non-Maximum Suppression: A Graph Theory Perspective.

King-Siong Si, Lu Sun, Weizhan Zhang, Tieliang Gong, Jiahao Wang, Jiang Liu, Hao Sun

CoRR, 2024

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

Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang

CoRR, 2024

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

Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li

CoRR, 2024

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

Jiashuai Liu, Anyu Mao, Yi Niu, Xianli Zhang, Tieliang Gong, Chen Li, Zeyu Gao

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

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

Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng

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

Towards Sharper Generalization Bounds for Adversarial Contrastive Learning.

Wen Wen, Han Li, Tieliang Gong, Hong Chen

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

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

Yuxin Dong, Tieliang Gong, Hong Chen, Zhongjiang He, Mengxiang Li, Shuangyong Song, Chen Li

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

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

Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu

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.

Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu

IEEE Trans. Medical Imaging, December, 2023

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

Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li

IEEE Trans. Medical Imaging, October, 2023

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

Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li

IEEE Trans. Inf. Theory, July, 2023

Robust partially linear models for automatic structure discovery.

Yuxiang Han, Hong Chen, Tieliang Gong, Jia Cai, Hao Deng

Expert Syst. Appl., May, 2023

Dual Attention and Patient Similarity Network for drug recommendation.

Jialun Wu, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li

Bioinform., January, 2023

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

Zeyu Gao, Anyu Mao, Kefei Wu, Yang Li, Liebin Zhao, Xianli Zhang, Jialun Wu, Lisha Yu, Chao Xing, Tieliang Gong, Yefeng Zheng, Deyu Meng, Min Zhou, Chen Li

IEEE Trans. Medical Imaging, 2023

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

Jiangbo Shi, Tieliang Gong, Chunbao Wang, Chen Li

IEEE J. Biomed. Health Informatics, 2023

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

Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria

IEEE Trans. Affect. Comput., 2023

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

Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li

Medical Image Anal., 2023

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

Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria

Expert Syst. Appl., 2023

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

Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li

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

Tilted Sparse Additive Models.

Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2023

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

Yige Wang, Yucheng Huang, Tieliang Gong, Chen Li

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.

Yucheng Huang, Wenqiang Liu, Xianli Zhang, Jun Lang, Tieliang Gong, Chen Li

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

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

Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li

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

On the Stability and Generalization of Triplet Learning.

Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng

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

2022

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

Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li

BMC Bioinform., December, 2022

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

Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong

IEEE Trans. Signal Process., 2022

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

Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li

IEEE Trans. Medical Imaging, 2022

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

Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong, Chen Li

BMC Medical Informatics Decis. Mak., 2022

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

Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li

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

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

Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang

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

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

Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li

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

Knowledge Enhanced Coreference Resolution via Gated Attention.

Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu

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

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

Zeyu Gao, Anyu Mao, Jialun Wu, Yang Li, Chunbao Wang, Caixia Ding, Tieliang Gong, Chen Li

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

Error-Based Knockoffs Inference for Controlled Feature Selection.

Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng

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

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

Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li

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

2021

Learning performance of LapSVM based on Markov subsampling.

Tieliang Gong, Hong Chen, Chen Xu

Neurocomputing, 2021

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

Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng

CoRR, 2021

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

Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li

CoRR, 2021

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

Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li

CoRR, 2021

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

Jialun Wu, Haichuan Zhang, Zeyu Gao, Xinrui Bao, Tieliang Gong, Chunbao Wang, Chen Li

CoRR, 2021

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

Jialun Wu, Ruonan Zhang, Tieliang Gong, Haichuan Zhang, Chunbao Wang, Chen Li

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

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

Jialun Wu, Ruonan Zhang, Tieliang Gong, Yang Liu, Chunbao Wang, Chen Li

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.

Jialun Wu, Ruonan Zhang, Tieliang Gong, Xinrui Bao, Zeyu Gao, Haichuan Zhang, Chunbao Wang, Chen Li

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

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

Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li

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

Meta Mask Correction for Nuclei Segmentation in Histopathological Image.

Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li

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

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

Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li

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.

Yang Liu, Jialun Wu, Yuhua Wei, Bing Mao, Chen Li, Tieliang Gong

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

2020

Modal additive models with data-driven structure identification.

Tieliang Gong, Chen Xu, Hong Chen

Math. Found. Comput., 2020

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

Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen

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

Robust Gradient-Based Markov Subsampling.

Tieliang Gong, Quanhan Xi, Chen Xu

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

2018

Margin Based PU Learning.

Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin

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

2017

Generalization Analysis of Fredholm Kernel Regularized Classifiers.

Tieliang Gong, Zongben Xu, Hong Chen

Neural Comput., 2017

2016

Learning With ℓ₁-Regularizer Based on Markov Resampling.

Tieliang Gong, Bin Zou, Zongben Xu

IEEE Trans. Cybern., 2016

2012

Robust Alternative Minimization for Matrix Completion.

Xiaoqiang Lu, Tieliang Gong, Pingkun Yan, Yuan Yuan, Xuelong Li

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