Tianming Liu

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 274

Top Venues

Publications

Liangxuan Wu, Yanjie Zhao, Xinyi Hou, Tianming Liu, Haoyu Wang
ChatGPT Chats Decoded: Uncovering Prompt Patterns for Superior Solutions in Software Development Lifecycle. MSR (2024)
Wenjian Qin, Tianming Liu, Fa Zhang
Guest Editorial Computational Mathematics Modeling in Cancer Analysis. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Jiaqi Wang, Zihao Wu, Yiwei Li, Hanqi Jiang, Peng Shu, Enze Shi, Huawen Hu, Chong Ma, Yiheng Liu, Xuhui Wang, Yincheng Yao, Xuan Liu, Huaqin Zhao, Zhengliang Liu, Haixing Dai, Lin Zhao, Bao Ge, Xiang Li, Tianming Liu, Shu Zhang
Large Language Models for Robotics: Opportunities, Challenges, and Perspectives. CoRR (2024)
Jie Tian, Jixin Hou, Zihao Wu, Peng Shu, Zhengliang Liu, Yujie Xiang, Beikang Gu, Nicholas Filla, Yiwei Li, Ning Liu, Xianyan Chen, Keke Tang, Tianming Liu, Xianqiao Wang
Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding. CoRR (2024)
Tianming Liu
Artificial Intelligence and the Unveiling of Boundaries: Reflection on the Intersection of Creativity, Technology, and Humanity. HCI (62) (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Zhengliang Liu, Jason Holmes, Wenxiong Liao, Chenbin Liu, Lian Zhang, Hongying Feng, Peilong Wang, Muhammad Ali Elahi, Hongmin Cai, Lichao Sun, Quanzheng Li, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu
The Radiation Oncology NLP Database. CoRR (2024)
Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Gengchen Mai, Ninghao Liu, Tianming Liu
Revolutionizing Finance with LLMs: An Overview of Applications and Insights. CoRR (2024)
Zhenxiang Xiao, Liang He, Boyu Zhao, Mingxin Jiang, Wei Mao, Yuzhong Chen, Tuo Zhang, Xintao Hu, Tianming Liu, Xi Jiang
Regularity and variability of functional brain connectivity characteristics between gyri and sulci under naturalistic stimulus. Comput. Biol. Medicine 168 (2024)
Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang
Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer. Inf. Fusion 104 (2024)
Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge
Understanding LLMs: A Comprehensive Overview from Training to Inference. CoRR (2024)
Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Tianming Liu, Xiang Li
Differentiate ChatGPT-generated and Human-written Medical Texts. CoRR (2023)
Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai
Context Matters: A Strategy to Pre-train Language Model for Science Education. AIED (Posters/Late Breaking Results/...) (2023)
Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Dajiang Zhu, Tianming Liu, Sheng Li, Xiang Li, Hongmin Cai
Mask-guided BERT for Few Shot Text Classification. CoRR (2023)
Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, Dajiang Zhu, Tianming Liu, Wei Liu
Segment Anything Model (SAM) for Radiation Oncology. CoRR (2023)
Jiaxing Gao, Lin Zhao, Tianyang Zhong, Changhe Li, Zhibin He, Yaonai Wei, Shu Zhang, Lei Guo, Tianming Liu, Junwei Han, Tuo Zhang
Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet. MICCAI (2) (2023)
Zili Kang, Yifan Lv, Mengshen He, Yiheng Liu, Tianming Liu, Bao Ge
Brain Surface Can Predict Fiber Connections. ISBI (2023)
Ying Huang, Tuo Zhang, Songyao Zhang, Weihan Zhang, Li Yang, Dajiang Zhu, Tianming Liu, Xi Jiang, Junwei Han, Lei Guo
Genetic Influence on Gyral Peaks. NeuroImage 280 (2023)
Xiaowei Yu, Yao Xue, Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu
Exploring the Influence of Information Entropy Change in Learning Systems. CoRR (2023)
Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai
Artificial General Intelligence (AGI) for Education. CoRR (2023)
Zhengliang Liu, Zihao Wu, Mengxuan Hu, Bokai Zhao, Lin Zhao, Tianyi Zhang, Haixing Dai, Xianyan Chen, Ye Shen, Sheng Li, Brian Murray, Tianming Liu, Andrea Sikora
PharmacyGPT: The AI Pharmacist. CoRR (2023)
Chong Ma, Lin Zhao, Yuzhong Chen, Sheng Wang, Lei Guo, Tuo Zhang, Dinggang Shen, Xi Jiang, Tianming Liu
Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning. IEEE Trans. Medical Imaging 42 (11) (2023)
Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, Tianming Liu
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities. CoRR (2023)
Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai
Context Matters: A Strategy to Pre-train Language Model for Science Education. CoRR (2023)
Xujiong Ma, Jun Mou, Chenguang Ma, Jieyang Wang, Tianming Liu
A New Meminductor Based Hyperchaotic Circuit and its Implementation. Mob. Networks Appl. 28 (2) (2023)
Qihang Wang, Decheng Zuo, Zhan Zhang, Siyuan Chen, Tianming Liu
An adaptive non-migrating load-balanced distributed stream window join system. J. Supercomput. 79 (8) (2023)
Jixin Hou, Nicholas Filla, Xianyan Chen, Mir Jalil Razavi, Tianming Liu, Xianqiao Wang
Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches. CoRR (2023)
Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, Shijie Zhao
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network. Neural Networks 165 (2023)
Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li
Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript. BI (2023)
Jason Holmes, Shuyuan Ye, Yiwei Li, Shi-Nan Wu, Zhengliang Liu, Zihao Wu, Jinyu Hu, Huan Zhao, Xi Jiang, Wei Liu, Hong Wei, Jie Zou, Tianming Liu, Yi Shao
Evaluating Large Language Models in Ophthalmology. CoRR (2023)
Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. CoRR (2023)
Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu
AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. CoRR (2023)
Xiao Yang, Ramesh Bist, Sachin Subedi, Zihao Wu, Tianming Liu, Lilong Chai
An automatic classifier for monitoring applied behaviors of cage-free laying hens with deep learning. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Sheng Wang, Zixu Zhuang, Xi Ouyang, Lichi Zhang, Zheren Li, Chong Ma, Tianming Liu, Dinggang Shen, Qian Wang
Learning Better Contrastive View from Radiologist's Gaze. CoRR (2023)
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. CoRR (2023)
Yaonai Wei, Tianyang Zhong, Songyao Zhang, Xiao Li, Tuo Zhang, Lin Zhao, Zhengliang Liu, Muheng Shang, Tianming Liu, Han Zhang, Chong Ma, Lei Du, Junwei Han
Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps. BIBM (2023)
Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks. ISBI (2023)
Xiaoyan Cai, Sen Liu, Junwei Han, Libin Yang, Zhenguo Liu, Tianming Liu
ChestXRayBERT: A Pretrained Language Model for Chest Radiology Report Summarization. IEEE Trans. Multim. 25 (2023)
Tianyang Zhong, Xiaozheng Wei, Enze Shi, Jiaxing Gao, Chong Ma, Yaonai Wei, Songyao Zhang, Lei Guo, Junwei Han, Tianming Liu, Tuo Zhang
A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding. MICCAI (1) (2023)
Yaonai Wei, Chong Ma, Tianyang Zhong, Lei Du, Tuo Zhang, Songyao Zhang, Li Yang, Tianming Liu, Han Zhang, Zhibin He, Muheng Shang, Junwei Han
FMRI-Guided Time-Symmetric Joint Model for Visual Attention Prediction. BIBM (2023)
Junwen Duan, Fangyuan Wei, Jin Liu, Hongdong Li, Tianming Liu, Jianxin Wang
CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection. ACL (Findings) (2023)
Xiaowei Yu, Lu Zhang, Yanjun Lyu, Tianming Liu, Dajiang Zhu
Supervised Deep Tree in Alzheimer's Disease. ISBI (2023)
Yaonai Wei, Tuo Zhang, Han Zhang, Tianyang Zhong, Lin Zhao, Zhengliang Liu, Chong Ma, Songyao Zhang, Muheng Shang, Lei Du, Xiao Li, Tianming Liu, Junwei Han
Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps. CoRR (2023)
Kangfu Han, Fenqiang Zhao, Dajiang Zhu, Tianming Liu, Feng Yang, Gang Li
Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data. MLMI@MICCAI (2) (2023)
Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, Xiang Li, Dajiang Zhu, Dinggang Shen, Tianming Liu
When Brain-inspired AI Meets AGI. CoRR (2023)
Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, Rui Xu, Daniel Petti, Changying Li, Tianming Liu, Changying Li
AGI for Agriculture. CoRR (2023)
Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li
ChatAug: Leveraging ChatGPT for Text Data Augmentation. CoRR (2023)
Mengyue Zhou, Xu Liu, David Liu, Zihao Wu, Zhengliang Liu, Lin Zhao, Dajiang Zhu, Lei Guo, Junwei Han, Tianming Liu, Xintao Hu
Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding. ACL (Findings) (2023)
Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR (2023)
Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. MLMI@MICCAI (1) (2023)
Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data. CoRR (2023)
Zuowei Jiang, Xiaoyan Cai, Libin Yang, Dehong Gao, Wei Zhao, Junwei Han, Jun Liu, Dinggang Shen, Tianming Liu
Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder. IEEE Trans. Biomed. Eng. 70 (12) (2023)
Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence T. Sio, Lisa A. McGee, Jonathan B. Ashman, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu
Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics. CoRR (2023)
Tianyang Zhong, Yaonai Wei, Li Yang, Zihao Wu, Zhengliang Liu, Xiaozheng Wei, Wenjun Li, Junjie Yao, Chong Ma, Xiang Li, Dajiang Zhu, Xi Jiang, Junwei Han, Dinggang Shen, Tianming Liu, Tuo Zhang
ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT. CoRR (2023)
Qing Li, Haixing Dai, Jinglei Lv, Lin Zhao, Zhengliang Liu, Zihao Wu, Xia Wu, Claire Coles, Xiaoping Hu, Tianming Liu, Dajiang Zhu
Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. ADMA (3) (2023)
Zhengliang Liu, Peilong Wang, Yiwei Li, Jason Holmes, Peng Shu, Lian Zhang, Chenbin Liu, Ninghao Liu, Dajiang Zhu, Xiang Li, Quanzheng Li, Samir H. Patel, Terence T. Sio, Tianming Liu, Wei Liu
RadOnc-GPT: A Large Language Model for Radiation Oncology. CoRR (2023)
Xiao Yang, Haixing Dai, Zihao Wu, Ramesh Bist, Sachin Subedi, Jin Sun, Guoyu Lu, Changying Li, Tianming Liu, Lilong Chai
SAM for Poultry Science. CoRR (2023)
Zhengwang Wu, Jiale Cheng, Fenqiang Zhao, Ya Wang, Yue Sun, Dajiang Zhu, Tianming Liu, Valerie Jewells, Weili Lin, Li Wang, Gang Li
Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning. MICCAI (8) (2023)
Xuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, Xiaoming Zhai
Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education. AIED (2023)
Chenjiao Tan, Qian Cao, Yiwei Li, Jielu Zhang, Xiao Yang, Huaqin Zhao, Zihao Wu, Zhengliang Liu, Hao Yang, Nemin Wu, Tao Tang, Xinyue Ye, Lilong Chai, Ninghao Liu, Changying Li, Lan Mu, Tianming Liu, Gengchen Mai
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications. CoRR (2023)
Yanjie Zhao, Tianming Liu, Haoyu Wang, Yepang Liu, John C. Grundy, Li Li
Are Mobile Advertisements in Compliance with App's Age Group? WWW (2023)
Lin Zhao, Haixing Dai, Zihao Wu, Dajiang Zhu, Tianming Liu
CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network. CoRR (2023)
Xu Liu, Mengyue Zhou, Gaosheng Shi, Yu Du, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Xintao Hu
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain. CoRR (2023)
Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Xintao Hu, Tuo Zhang, Dajiang Zhu, Tianming Liu
A generic framework for embedding human brain function with temporally correlated autoencoder. Medical Image Anal. 89 (2023)
Xi Jiang, Jiadong Yan, Yu Zhao, Mingxin Jiang, Yuzhong Chen, Jingchao Zhou, Zhenxiang Xiao, Zifan Wang, Rong Zhang, Benjamin Becker, Dajiang Zhu, Keith M. Kendrick, Tianming Liu
Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs). Neural Networks 158 (2023)
Ning Qiang, Jie Gao, Qinglin Dong, Huiji Yue, Hongtao Liang, Lili Liu, Jingjing Yu, Jing Hu, Shu Zhang, Bao Ge, Yifei Sun, Zhengliang Liu, Tianming Liu, Jin Li, Hujie Song, Shijie Zhao
Functional brain network identification and fMRI augmentation using a VAE-GAN framework. Comput. Biol. Medicine 165 (2023)
Xiaowei Yu, Lu Zhang, Haixing Dai, Yanjun Lyu, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Dajiang Zhu
Core-Periphery Principle Guided Redesign of Self-Attention in Transformers. CoRR (2023)
Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkuan Yan, Quanzheng Li, Wei Liu, Tianming Liu, Dinggang Shen
Artificial General Intelligence for Medical Imaging. CoRR (2023)
Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. CoRR (2023)
Shu Zhang, Junxin Wang, Sigang Yu, Ruoyang Wang, Junwei Han, Shijie Zhao, Tianming Liu, Jinglei Lv
An explainable deep learning framework for characterizing and interpreting human brain states. Medical Image Anal. 83 (2023)
Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. BIBM (2023)
Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. CoRR (2023)
Jason Holmes, Lian Zhang, Yuzhen Ding, Hongying Feng, Zhengliang Liu, Tianming Liu, William W. Wong, Sujay A. Vora, Jonathan B. Ashman, Wei Liu
Benchmarking a foundation LLM on its ability to re-label structure names in accordance with the AAPM TG-263 report. CoRR (2023)
Xinyu Gong, Jason Holmes, Yiwei Li, Zhengliang Liu, Qi Gan, Zihao Wu, Jianli Zhang, Yusong Zou, Yuxi Teng, Tian Jiang, Hongtu Zhu, Wei Liu, Tianming Liu, Yajun Yan
Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions. CoRR (2023)
Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang
Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. MICCAI (5) (2023)
Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, Xiang Li
Radiology-Llama2: Best-in-Class Large Language Model for Radiology. CoRR (2023)
Liting Wang, Xintao Hu, Yudan Ren, Jinglei Lv, Shijie Zhao, Lei Guo, Tianming Liu, Junwei Han
Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching. NeuroImage 279 (2023)
Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Dajiang Zhu, Xiang Li, Ning Qiang, Dinggang Shen, Tianming Liu, Bao Ge
Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models. CoRR (2023)
Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. CoRR (2023)
Yu Du, Liting Wang, Lei Guo, Junwei Han, Tianming Liu, Xintao Hu
Topological Similarity between Artificial and Biological Neural Networks. ISBI (2023)
Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Xiang Li, Quanzheng Li, Tianming Liu
Radiology-GPT: A Large Language Model for Radiology. CoRR (2023)
Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Tianming Liu, Xi Jiang
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT. CoRR (2023)
Chenguang Ma, Jun Mou, Peng Li, Feifei Yang, Tianming Liu
Multistability Analysis and Digital Circuit Implementation of a New Conformable Fractional-Order Chaotic System. Mob. Networks Appl. 28 (2) (2023)
Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) (2023)
Jason Holmes, Rui Peng, Yiwei Li, Jinyu Hu, Zhengliang Liu, Zihao Wu, Huan Zhao, Xi Jiang, Wei Liu, Hong Wei, Jie Zou, Tianming Liu, Yi Shao
Evaluating multiple large language models in pediatric ophthalmology. CoRR (2023)
Haixing Dai, Lu Zhang, Lin Zhao, Zihao Wu, Zhengliang Liu, David Liu, Xiaowei Yu, Yanjun Lyu, Changying Li, Ninghao Liu, Tianming Liu, Dajiang Zhu
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification. CoRR (2023)
Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. CoRR (2023)
Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang
Review of Large Vision Models and Visual Prompt Engineering. CoRR (2023)
Lian Zhang, Jason M. Holmes, Zhengliang Liu, Hongying Feng, Terence T. Sio, Carlos E. Vargas, Sameer R. Keole, Kristin Stützer, Sheng Li, Tianming Liu, Jiajian Shen, William W. Wong, Sujay A. Vora, Wei Liu
Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability. CoRR (2023)
Li Yang, Songyao Zhang, Weihan Zhang, Jingchao Zhou, Tianyang Zhong, Yaonai Wei, Xi Jiang, Tianming Liu, Junwei Han, Yixuan Yuan, Tuo Zhang
Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder. IPMI (2023)
Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li
ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT. CoRR (2023)
Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang
Prompt Engineering for Healthcare: Methodologies and Applications. CoRR (2023)
Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR (2023)
Chenhao Tang, Zhengliang Liu, Chong Ma, Zihao Wu, Yiwei Li, Wei Liu, Dajiang Zhu, Quanzheng Li, Xiang Li, Tianming Liu, Lei Fan
PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models. CoRR (2023)
Yucheng Shi, Shaochen Xu, Zhengliang Liu, Tianming Liu, Xiang Li, Ninghao Liu
MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases. CoRR (2023)
Huan Zhao, Qian Ling, Yi Pan, Tianyang Zhong, Jinyu Hu, Junjie Yao, Fengqian Xiao, Zhenxiang Xiao, Yutong Zhang, San-Hua Xu, Shi-Nan Wu, Min Kang, Zihao Wu, Zhengliang Liu, Xi Jiang, Tianming Liu, Yi Shao
Ophtha-LLaMA2: A Large Language Model for Ophthalmology. CoRR (2023)
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H. Gilmore, Weili Lin, Li Wang, Gang Li
Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. MICCAI (8) (2023)
Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, Chuantao Zuo
F-FDG PET. IPMI (2023)
Haixing Dai, Chong Ma, Zhengliang Liu, Yiwei Li, Peng Shu, Xiaozheng Wei, Lin Zhao, Zihao Wu, Dajiang Zhu, Wei Liu, Quanzheng Li, Tianming Liu, Xiang Li
SAMAug: Point Prompt Augmentation for Segment Anything Model. CoRR (2023)

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Tianming Liu