Tieliang Gong

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 60

Top Topics

Computationally Efficient

Convolutional Network

Additive Models

Top Venues

IEEE Trans. Medical Imaging

Publications

Jialun Wu, Xinyao Yu, Kai He, Zeyu Gao, Tieliang Gong
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation. Inf. Process. Manag. 61 (4) (2024)
Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis. CoRR (2024)
Hong Chen, Xuelin Zhang, Tieliang Gong, Bin Gu, Feng Zheng
Error Density-dependent Empirical Risk Minimization. Expert Syst. Appl. 254 (2024)
Muyao Yuan, Weizhan Zhang, Caixia Yan, Tieliang Gong, Yuanhong Zhang, Jiangyong Ying
Adaptive token selection for efficient detection transformer with dual teacher supervision. Knowl. Based Syst. 300 (2024)
Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. ICLR (2024)
Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
Markov Subsampling Based on Huber Criterion. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Jiangbo Shi, Tieliang Gong, Chunbao Wang, Chen Li
Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. IEEE Trans. Medical Imaging 42 (12) (2023)
Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 14 (3) (2023)
Jialun Wu, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li
Dual Attention and Patient Similarity Network for drug recommendation. Bioinform. 39 (1) (2023)
Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
On the Stability and Generalization of Triplet Learning. AAAI (2023)
Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Syst. Appl. 213 (Part) (2023)
Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
On the Stability and Generalization of Triplet Learning. CoRR (2023)
Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. Medical Image Anal. 83 (2023)
Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li
Optimal Randomized Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Inf. Theory 69 (7) (2023)
Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao
Tilted Sparse Additive Models. ICML (2023)
Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
Robust and Fast Measure of Information via Low-Rank Representation. AAAI (2023)
Yuxiang Han, Hong Chen, Tieliang Gong, Jia Cai, Hao Deng
Robust partially linear models for automatic structure discovery. Expert Syst. Appl. 217 (2023)
Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. IJCAI (2023)
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
Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. IEEE Trans. Medical Imaging 42 (8) (2023)
Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li
A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. IEEE Trans. Medical Imaging 42 (10) (2023)
Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective. CoRR (2023)
Yucheng Huang, Wenqiang Liu, Xianli Zhang, Jun Lang, Tieliang Gong, Chen Li
PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition. ACL (Findings) (2023)
Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
Robust and Fast Measure of Information via Low-rank Representation. CoRR (2022)
Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu
Knowledge Enhanced Coreference Resolution via Gated Attention. BIBM (2022)
Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. COLING (2022)
Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong, Chen Li
Distinguished representation of identical mentions in bio-entity coreference resolution. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
Error-based Knockoffs Inference for Controlled Feature Selection. CoRR (2022)
Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li
Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction. BIBM (2022)
Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li
Optimal Randomized Approximations for Matrix based Renyi's Entropy. CoRR (2022)
Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong
Computationally Efficient Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Signal Process. 70 (2022)
Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li
JCBIE: a joint continual learning neural network for biomedical information extraction. BMC Bioinform. 23 (1) (2022)
Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. AAAI (2022)
Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li
Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. IEEE Trans. Medical Imaging 41 (12) (2022)
Zeyu Gao, Anyu Mao, Jialun Wu, Yang Li, Chunbao Wang, Caixia Ding, Tieliang Gong, Chen Li
Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images. BIBM (2022)
Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. CIKM (2022)
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
Error-Based Knockoffs Inference for Controlled Feature Selection. AAAI (2022)
Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. CoRR (2021)
Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. CoRR (2021)
Yang Liu, Jialun Wu, Yuhua Wei, Bing Mao, Chen Li, Tieliang Gong
AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation. BIBM (2021)
Jialun Wu, Ruonan Zhang, Tieliang Gong, Yang Liu, Chunbao Wang, Chen Li
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. BIBM (2021)
Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. BIBM (2021)
Jialun Wu, Haichuan Zhang, Zeyu Gao, Xinrui Bao, Tieliang Gong, Chunbao Wang, Chen Li
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. CoRR (2021)
Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment. CoRR (2021)
Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li
PIMIP: An Open Source Platform for Pathology Information Management and Integration. BIBM (2021)
Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li
PIMIP: An Open Source Platform for Pathology Information Management and Integration. CoRR (2021)
Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
Markov subsampling based Huber Criterion. CoRR (2021)
Jialun Wu, Ruonan Zhang, Tieliang Gong, Xinrui Bao, Zeyu Gao, Haichuan Zhang, Chunbao Wang, Chen Li
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. BIBM (2021)
Tieliang Gong, Hong Chen, Chen Xu
Learning performance of LapSVM based on Markov subsampling. Neurocomputing 432 (2021)
Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng
Computationally Efficient Approximations for Matrix-based Renyi's Entropy. CoRR (2021)
Jialun Wu, Ruonan Zhang, Tieliang Gong, Haichuan Zhang, Chunbao Wang, Chen Li
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. BIBM (2021)
Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
Meta Mask Correction for Nuclei Segmentation in Histopathological Image. BIBM (2021)
Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. CoRR (2021)
Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
Meta Mask Correction for Nuclei Segmentation in Histopathological Image. CoRR (2021)
Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery. NeurIPS (2020)
Tieliang Gong, Quanhan Xi, Chen Xu
Robust Gradient-Based Markov Subsampling. AAAI (2020)
Tieliang Gong, Chen Xu, Hong Chen
Modal additive models with data-driven structure identification. Math. Found. Comput. 3 (3) (2020)
Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin
Margin Based PU Learning. AAAI (2018)
Tieliang Gong, Zongben Xu, Hong Chen
Generalization Analysis of Fredholm Kernel Regularized Classifiers. Neural Comput. 29 (7) (2017)
Tieliang Gong, Bin Zou, Zongben Xu
-Regularizer Based on Markov Resampling. IEEE Trans. Cybern. 46 (5) (2016)
Xiaoqiang Lu, Tieliang Gong, Pingkun Yan, Yuan Yuan, Xuelong Li
Robust Alternative Minimization for Matrix Completion. IEEE Trans. Syst. Man Cybern. Part B 42 (3) (2012)