Tianbin Li

According to our database, Tianbin Li authored at least 51 papers between 2018 and 2026.

Collaborative distances:

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

2026

MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline.

Jiyao Liu, Jianghan Shen, Sida Song, Tianbin Li, Xiaojia Liu, Rongbin Li, Ziyan Huang, Jiashi Lin, Junzhi Ning, Changkai Ji, Siqi Luo, Wenjie Li, Chenglong Ma, Ming Hu, Jing Xiong, Jin Ye, Bin Fu, Ningsheng Xu, Yirong Chen, Lei Ji, Hong Chen, Junjun He

CoRR, April, 2026

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark.

Junzhi Ning, Jiashi Lin, Yingying Fang, Wei Li, Jiyao Liu, Cheng Tang, Chenglong Ma, Wenhao Tang, Tianbin Li, Ziyan Huang, Guang Yang, Junjun He

CoRR, April, 2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development.

Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Aviles-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, et al.

CoRR, March, 2026

MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations.

Jiyao Liu, Junzhi Ning, Chenglong Ma, Wanying Qu, Jianghan Shen, Siqi Luo, Jinjie Wei, Jin Ye, Pengze Li, Tianbin Li, Jiashi Lin, Hongming Shan, Xinzhe Luo, Xiaohong Liu, Lihao Liu, Junjun He, Ningsheng Xu

CoRR, March, 2026

Training-Free Acceleration for Document Parsing Vision-Language Model with Hierarchical Speculative Decoding.

Wenhui Liao, Hongliang Li, Pengyu Xie, Xinyu Cai, Yufan Shen, Yi Xin, Qi Qin, Shenglong Ye, Tianbin Li, Ming Hu, Junjun He, Yihao Liu, Wenhai Wang, Min Dou, Bin Fu, Botian Shi, Yu Qiao, Lianwen Jin

CoRR, February, 2026

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision.

Huihui Xu, Jin Ye, Hongqiu Wang, Changkai Ji, Jiashi Lin, Ming Hu, Ziyan Huang, Ying Chen, Chenglong Ma, Tianbin Li, Lihao Liu, Junjun He, Lei Zhu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI.

Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Shixiang Tang, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Human-Level and Beyond: Benchmarking Large Language Models Against Clinical Pharmacists in Prescription Review.

Yan Yang, Mouxiao Bian, Peiling Li, Bingjian Wen, Ruiyao Chen, Kangkun Mao, Xiaojun Ye, Tianbin Li, Pengcheng Chen, Bing Han, Jie Xu, Kaifeng Qiu, Junyan Wu

CoRR, December, 2025

Can Large Language Models Function as Qualified Pediatricians? A Systematic Evaluation in Real-World Clinical Contexts.

Siyu Zhu, Mouxiao Bian, Yue Xie, Yongyu Tang, Zhikang Yu, Tianbin Li, Pengcheng Chen, Bing Han, Jie Xu, Xiaoyan Dong

CoRR, November, 2025

TCM-5CEval: Extended Deep Evaluation Benchmark for LLM's Comprehensive Clinical Research Competence in Traditional Chinese Medicine.

Tianai Huang, Jiayuan Chen, Lu Lu, Pengcheng Chen, Tianbin Li, Bing Han, Wenchao Tang, Jie Xu, Ming Li

CoRR, November, 2025

Evaluating the Ability of Large Language Models to Identify Adherence to CONSORT Reporting Guidelines in Randomized Controlled Trials: A Methodological Evaluation Study.

Zhichao He, Mouxiao Bian, Jianhong Zhu, Jiayuan Chen, Yunqiu Wang, Wenxia Zhao, Tianbin Li, Bing Han, Jie Xu, Junyan Wu

CoRR, November, 2025

SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images.

Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He

IEEE Trans. Neural Networks Learn. Syst., October, 2025

UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis.

Junzhi Ning, Wei Li, Cheng Tang, Jiashi Lin, Chenglong Ma, Chaoyang Zhang, Jiyao Liu, Ying Chen, Shujian Gao, Lihao Liu, Yuandong Pu, Huihui Xu, Chenhui Gou, Ziyan Huang, Yi Xin, Qi Qin, Zhongying Deng, Diping Song, Bin Fu, Guang Yang, Yuanfeng Ji, Tianbin Li, Yanzhou Su, Jin Ye, Shixiang Tang, Ming Hu, Junjun He

CoRR, October, 2025

Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding.

Yi Xin, Qi Qin, Siqi Luo, Kaiwen Zhu, Juncheng Yan, Yan Tai, Jiayi Lei, Yuewen Cao, Keqi Wang, Yibin Wang, Jinbin Bai, Qian Yu, Dengyang Jiang, Yuandong Pu, Haoxing Chen, Le Zhuo, Junjun He, Gen Luo, Tianbin Li, Ming Hu, Jin Ye, Shenglong Ye, Bo Zhang, Chang Xu, Wenhai Wang, Hongsheng Li, Guangtao Zhai, Tianfan Xue, Bin Fu, Xiaohong Liu, Yu Qiao, Yihao Liu

CoRR, October, 2025

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.

Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He

CoRR, August, 2025

MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation.

Chenglong Ma, Yuanfeng Ji, Jin Ye, Zilong Li, Chenhui Wang, Junzhi Ning, Wei Li, Lihao Liu, Qiushan Guo, Tianbin Li, Junjun He, Hongming Shan

CoRR, May, 2025

Building a Human-Verified Clinical Reasoning Dataset via a Human LLM Hybrid Pipeline for Trustworthy Medical AI.

Chao Ding, Mouxiao Bian, Pengcheng Chen, Hongliang Zhang, Tianbin Li, Lihao Liu, Jiayuan Chen, Zhuoran Li, Yabei Zhong, Yongqi Liu, Haiqing Huang, Dongming Shan, Junjun He, Jie Xu

CoRR, May, 2025

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning.

Yanzhou Su, Tianbin Li, Jiyao Liu, Chenglong Ma, Junzhi Ning, Cheng Tang, Sibo Ju, Jin Ye, Pengcheng Chen, Ming Hu, Shixiang Tang, Lihao Liu, Bin Fu, Wenqi Shao, Xiaowei Hu, Xiangwen Liao, Yuanfeng Ji, Junjun He

CoRR, April, 2025

A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation.

Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao

Medical Image Anal., 2025

PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery.

Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Stefanie Speidel, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano

Medical Image Anal., 2025

A survey for large language models in biomedicine.

Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen

Artif. Intell. Medicine, 2025

RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions.

Junzhi Ning, Cheng Tang, Kaijing Zhou, Diping Song, Lihao Liu, Ming Hu, Wei Li, Huihui Xu, Yanzhou Su, Tianbin Li, Jiyao Liu, Jin Ye, Sheng Zhang, Yuanfeng Ji, Junjun He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Towards Interpretable Counterfactual Generation via Multimodal Autoregression.

Chenglong Ma, Yuanfeng Ji, Jin Ye, Lu Zhang, Ying Chen, Tianbin Li, Mingjie Li, Junjun He, Hongming Shan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.

Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline.

Junlong Cheng, Bin Fu, Jin Ye, Guoan Wang, Tianbin Li, Haoyu Wang, Ruoyu Li, He Yao, Junren Chen, Jingwen Li, Yanzhou Su, Min Zhu, Junjun He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding.

Ying Chen, Guoan Wang, Yuanfeng Ji, Yanjun Li, Jin Ye, Tianbin Li, Ming Hu, Rongshan Yu, Yu Qiao, Junjun He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI.

Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He

CoRR, 2024

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding.

Ying Chen, Guoan Wang, Yuanfeng Ji, Yanjun Li, Jin Ye, Tianbin Li, Bin Zhang, Nana Pei, Rongshan Yu, Yu Qiao, Junjun He

CoRR, 2024

PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery.

Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano

CoRR, 2024

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI.

Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J. Seibel, Junjun He, Yu Qiao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation.

Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang

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

SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images.

Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.

Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo

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

TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering.

Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding.

Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

A survey of topic models: From a whole-cycle perspective.

Gang Cheng, Qinliang You, Lei Shi, Zhenxue Wang, Jia Luo, Tianbin Li

J. Intell. Fuzzy Syst., December, 2023

Research on a Space-Time Continuous Sensing System for Overburden Deformation and Failure during Coal Mining.

Gang Cheng, Zhenxue Wang, Bin Shi, Wu Zhu, Tianbin Li

Sensors, July, 2023

Parallel Processing Method for Microseismic Signal Based on Deep Neural Network.

Chunchi Ma, Wenjin Yan, Weihao Xu, Tianbin Li, Xuefeng Ran, Jiangjun Wan, Ke Tong, Yu Lin

Remote. Sens., March, 2023

Fine Classification Method for Massive Microseismic Signals Based on Short-Time Fourier Transform and Deep Learning.

Chunchi Ma, Xuefeng Ran, Weihao Xu, Wenjin Yan, Tianbin Li, Kunkun Dai, Jiangjun Wan, Yu Lin, Ke Tong

Remote. Sens., January, 2023

Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies.

Pengcheng Chen, Ziyan Huang, Zhongying Deng, Tianbin Li, Yanzhou Su, Haoyu Wang, Jin Ye, Yu Qiao, Junjun He

CoRR, 2023

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

Jin Ye, Junlong Cheng, Jianpin Chen, Zhongying Deng, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Min Zhu, Shaoting Zhang, Junjun He, Yu Qiao

CoRR, 2023

SAM-Med3D.

Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao

CoRR, 2023

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.

Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao

CoRR, 2023

SAM-Med2D.

Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Junjun He, Shaoting Zhang, Min Zhu, Yu Qiao

CoRR, 2023

Evaluating STU-Net for Brain Tumor Segmentation.

Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Yanzhou Su, Tianbin Li, Junlong Cheng, Jianpin Chen, Sizheng Guo, Yiqing Shen, Junjun He

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation.

Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Tianbin Li, Junjun He

Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023

2022

UNetGE: A U-Net-Based Software at Automatic Grain Extraction for Image Analysis of the Grain Size and Shape Characteristics.

Ling Zeng, Tianbin Li, Xiekang Wang, Lei Chen, Peng Zeng, Jason Scott Herrin

Sensors, 2022

Intelligent rating method of tunnel surrounding rock based on one-dimensional convolutional neural network.

Gang Yang, Tianbin Li, Chunchi Ma, Lubo Meng, Hang Zhang, Junjie Ma

J. Intell. Fuzzy Syst., 2022

2021

Multi-Classification of Complex Microseismic Waveforms Using Convolutional Neural Network: A Case Study in Tunnel Engineering.

Hang Zhang, Jun Zeng, Chunchi Ma, Tianbin Li, Yelin Deng, Tao Song

Sensors, 2021

2020

New collocation method for stochastic response surface reliability analyses.

Peng Zeng, Tianbin Li, Yu Chen, Rafael Jiménez, Xianda Feng, Salvador Senent

Eng. Comput., 2020

2018

Extension of quasi-Newton approximation-based SORM for series system reliability analysis of geotechnical problems.

Peng Zeng, Tianbin Li, Rafael Jiménez, Xianda Feng, Yu Chen

Eng. Comput., 2018