Underwater acoustic sensor networks. - Yi Pan 001; Roee Diamant; Jun Liu 075 (Int. J. Distributed Sens. Networks, 2016)

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images. - Zhenyu Tang 002; Wei Zhao 040; Xingzhi Xie; Zheng Zhong; Feng Shi 001; Jun Liu 075; Dinggang Shen (CoRR, 2020)

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images. - Kelei He; Wei Zhao 040; Xingzhi Xie; Wen Ji; Mingxia Liu 001; Zhenyu Tang 002; Feng Shi 001; Yang Gao 001; Jun Liu 075; Junfeng Zhang; Dinggang Shen (CoRR, 2020)

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. - Xi Ouyang; Jiayu Huo; Liming Xia; Fei Shan; Jun Liu 075; Zhanhao Mo; Fuhua Yan; Zhongxiang Ding; Qi Yang; Bin Song 002; Feng Shi 001; Huan Yuan; et al. (IEEE Trans. Medical Imaging, 2020)

An Explainable Convolutional Neural Networks for Automatic Segmentation of the Left Ventricle in Cardiac MRI. - Jun Liu 075; Feng Deng; Geng Yuan; Xue Lin 001; Houbing Song; Yanzhi Wang (CECNet, 2021)

Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li; Yuxuan Cai 001; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren; Xulong Tang; Yanzhi Wang (RTAS, 2021)

Computing infection distributions and longitudinal evolution patterns in lung CT images. - Dongdong Gu; Liyun Chen; Fei Shan; Liming Xia; Jun Liu 075; Zhanhao Mo; Fuhua Yan; Bin Song 002; Yaozong Gao; Xiaohuan Cao; Yanbo Chen; Ying Shao; et al. (BMC Medical Imaging, 2021)

A deep-learning-based framework for severity assessment of COVID-19 with CT images. - Zhidan Li; Shixuan Zhao 001; Yang Chen 060; Fuya Luo; Zhiqing Kang; Shengping Cai; Wei Zhao 040; Jun Liu 075; Di Zhao; Yongjie Li 001 (Expert Syst. Appl., 2021)

Efficient cooperative cache management for latency-aware data intelligent processing in edge environment. - Chunlin Li 001; Jun Liu 075; Qingchuan Zhang; Youlong Luo (Future Gener. Comput. Syst., 2021)

Deeply learning a discriminative spatial-temporal feature for robot action understanding. - Jun Liu 075; Bo Sun; Jingpan Bai (Future Gener. Comput. Syst., 2021)

Resource allocation and scheduling in the intelligent edge computing context. - Jun Liu 075; Tianfu Yang; Jingpan Bai; Bo Sun (Future Gener. Comput. Syst., 2021)

Differentiation between COVID-19 and bacterial pneumonia using radiomics of chest computed tomography and clinical features. - Junbang Feng; Yi Guo; Shike Wang; Feng Shi 001; Ying Wei 009; Yichu He; Ping Zeng; Jun Liu 075; Wenjing Wang; Liping Lin; Qingning Yang; Chuanming Li; et al. (Int. J. Imaging Syst. Technol., 2021)

Cost-aware automatic scaling and workload-aware replica management for edge-cloud environment. - Chunlin Li 001; Jun Liu 075; Bo Lu; Youlong Luo (J. Netw. Comput. Appl., 2021)

Adaptive priority-based data placement and multi-task scheduling in geo-distributed cloud systems. - Chunlin Li 001; Jun Liu 075; Weigang Li; Youlong Luo (Knowl. Based Syst., 2021)

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. - Zekun Li 010; Wei Zhao 040; Feng Shi 001; Lei Qi 001; Xingzhi Xie; Ying Wei 009; Zhongxiang Ding; Yang Gao 001; Shangjie Wu; Jun Liu 075; Yinghuan Shi; Dinggang Shen (Medical Image Anal., 2021)

Brain responses to drug cues predict craving changes in abstinent heroin users: A preliminary study. - Shuang Liu; Shicong Wang; Min Zhang; Yan Xu; Ziqiang Shao; Longmao Chen; Wenhan Yang; Jun Liu 075; Kai Yuan (NeuroImage, 2021)

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. - Kelei He; Wei Zhao 040; Xingzhi Xie; Wen Ji; Mingxia Liu 001; Zhenyu Tang 002; Yinghuan Shi; Feng Shi 001; Yang Gao 001; Jun Liu 075; Junfeng Zhang; Dinggang Shen (Pattern Recognit., 2021)

SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images. - Shixuan Zhao 001; Zhidan Li; Yang Chen 060; Wei Zhao 040; Xingzhi Xie; Jun Liu 075; Di Zhao; Yongjie Li 001 (Pattern Recognit., 2021)

Fault-tolerant scheduling and data placement for scientific workflow processing in geo-distributed clouds. - Chunlin Li 001; Jun Liu 075; Min Wang; Youlong Luo (J. Syst. Softw., 2022)

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. - Jianhong Cheng; Wei Zhao 040; Jin Liu 012; Xingzhi Xie; Shangjie Wu; Liangliang Liu 001; Hailin Yue; Junjian Li; Jianxin Wang 001; Jun Liu 075 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Improved LSTM-Based Abnormal Stream Data Detection and Correction System for Internet of Things. - Jun Liu 075; Jingpan Bai; Huahua Li; Bo Sun (IEEE Trans. Ind. Informatics, 2022)

Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading. - Jianhong Cheng; Min Gao; Jin Liu 012; Hailin Yue; Hulin Kuang; Jun Liu 075; Jianxin Wang 001 (IEEE J. Biomed. Health Informatics, 2022)

Blockchain-Based Secure Communication of Intelligent Transportation Digital Twins System. - Jun Liu 075; Lei Zhang 190; Chunlin Li 001; Jingpan Bai; Haibin Lv; Zhihan Lv (IEEE Trans. Intell. Transp. Syst., 2022)

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. - Gengxin Xu; Chen Liu 026; Jun Liu 075; Zhongxiang Ding; Feng Shi 001; Man Guo; Wei Zhao 040; Xiaoming Li; Ying Wei 009; Yaozong Gao; Chuan-Xian Ren; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li; Yuxuan Cai 001; Yanyu Li; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren; Xulong Tang; et al. (ACM Trans. Embed. Comput. Syst., 2022)

A Scalable Real-time Semantic Segmentation Network for Autonomous Driving. - Jun Liu 075; Chao Wu 006; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Houbing Herbert Song (AMC-SME, 2023)

Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit. - Sribala Vidyadhari Chinta; Karen Fernandes; Ningxi Cheng; Jordan Fernandez; Shamim Yazdani; Zhipeng Yin; Zichong Wang; Xuyu Wang; Weifeng Xu; Jun Liu 075; Chong Siang Yew; Puqing Jiang; et al. (ICDM (Workshops), 2023)

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (MLMI@MICCAI (1), 2023)

Artificial General Intelligence for Medical Imaging. - Xiang Li 001; Lu Zhang 050; Zihao Wu 001; Zhengliang Liu; Lin Zhao 004; Yixuan Yuan; Jun Liu 075; Gang Li 001; Dajiang Zhu; Pingkuan Yan; Quanzheng Li; Wei Liu 146; et al. (CoRR, 2023)

Radiology-GPT: A Large Language Model for Radiology. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (CoRR, 2023)

Evaluating Large Language Models for Radiology Natural Language Processing. - Zhengliang Liu; Tianyang Zhong; Yiwei Li 002; Yutong Zhang; Yi Pan 001; Zihao Zhao 002; Peixin Dong; Chao Cao; Yuxiao Liu; Peng Shu; Yaonai Wei; Zihao Wu 001; et al. (CoRR, 2023)

Radiology-Llama2: Best-in-Class Large Language Model for Radiology. - Zhengliang Liu; Yiwei Li 002; Peng Shu; Aoxiao Zhong; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Jie Luo 003; Cheng Chen 013; Sekeun Kim; Jiang Hu; et al. (CoRR, 2023)

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data. - Tianyang Zhong; Wei Zhao 040; Yutong Zhang; Yi Pan 001; Peixin Dong; Zuowei Jiang; Xiaoyan Kui; Youlan Shang; Li Yang; Yaonai Wei; Longtao Yang; Hao Chen 011; et al. (CoRR, 2023)

Holistic Evaluation of GPT-4V for Biomedical Imaging. - Zhengliang Liu; Hanqi Jiang; Tianyang Zhong; Zihao Wu 001; Chong Ma; Yiwei Li 002; Xiaowei Yu; Yutong Zhang; Yi Pan 001; Peng Shu; Yanjun Lyu; Lu Zhang 050; et al. (CoRR, 2023)

Security in IoT-Enabled Digital Twins of Maritime Transportation Systems. - Jun Liu 075; Chunlin Li 001; Jingpan Bai; Youlong Luo; Haibin Lv; Zhihan Lv (IEEE Trans. Intell. Transp. Syst., 2023)

Anomaly detection for streaming data based on grid-clustering and Gaussian distribution. - Beiji Zou 001; Kangkang Yang; Xiaoyan Kui; Jun Liu 075; Shenghui Liao; Wei Zhao 040 (Inf. Sci., 2023)

Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder. - Zuowei Jiang; Xiaoyan Cai; Libin Yang; Dehong Gao; Wei Zhao 040; Junwei Han 001; Jun Liu 075; Dinggang Shen; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2023)

Strong Multimodal Representation Learner through Cross-domain Distillation for Alzheimer's Disease Classification. - Yulan Dai; Beiji Zou 001; Xiaoyan Kui; Qinsong Li; Wei Zhao 040; Jun Liu 075; Miguel Bordallo López (BIBM, 2024)

Reconstruction-Guided Multi-Stage Network For MRI Super-Resolution. - Zexin Ji; Beiji Zou 001; Xiaoyan Kui; Yang Li 111; Jun Liu 075; Wei Zhao 040; Chengzhang Zhu; Yulan Dai (CVDL, 2024)

InstructGIE: Towards Generalizable Image Editing. - Zichong Meng; Changdi Yang; Jun Liu 075; Hao Tang 005; Pu Zhao 001; Yanzhi Wang (ECCV (88), 2024)

DF-VTON: Dense Flow Guided Virtual Try-On Network. - Haoye Dong; Jun Liu 075; Dong Huang (ICASSP, 2024)

Physical-space Multi-body Mesh Detection Achieved by Local Alignment and Global Dense Learning. - Haoye Dong; Tiange Xiang; Sravan Chittupalli; Jun Liu 075; Dong Huang (WACV, 2024)

Efficient Pruning of Large Language Model with Adaptive Estimation Fusion. - Jun Liu 075; Chao Wu 006; Changdi Yang; Hao Tang 005; Haoye Dong; Zhenglun Kong; Geng Yuan; Wei Niu 002; Dong Huang; Yanzhi Wang (CoRR, 2024)

Evaluation of OpenAI o1: Opportunities and Challenges of AGI. - Tianyang Zhong; Zhengliang Liu; Yi Pan 001; Yutong Zhang; Yifan Zhou; Shizhe Liang; Zihao Wu 001; Yanjun Lyu; Peng Shu; Xiaowei Yu; Chao Cao; Hanqi Jiang; et al. (CoRR, 2024)

3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models. - Hao Chen 011; Wei Zhao 040; Yingli Li; Tianyang Zhong; Yisong Wang; Youlan Shang; Lei Guo 002; Junwei Han 001; Tianming Liu 001; Jun Liu 075; Tuo Zhang (CoRR, 2024)

Brain Tumor Classification on MRI in Light of Molecular Markers. - Jun Liu 075; Geng Yuan; Weihao Zeng; Hao Tang 005; Wenbin Zhang 002; Xue Lin 001; Xiaolin Xu 001; Dong Huang; Yanzhi Wang (CoRR, 2024)

Efficient resource allocation for IoT applications in mobile edge computing via dynamic request scheduling optimization. - Jun Liu 075; Chunlin Li 001; Youlong Luo (Expert Syst. Appl., 2024)

Deep reinforcement learning based controller placement and optimal edge selection in SDN-based multi-access edge computing environments. - Chunlin Li 001; Jun Liu 075; Ning Ma; Qingzhe Zhang; Zhengwei Zhong; Lincheng Jiang; Guolei Jia (J. Parallel Distributed Comput., 2024)

GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status. - Wei Zhao 040; Weidao Chen; Ge Li; Du Lei; Jiancheng Yang; Yanjing Chen; Yingjia Jiang; Jiangfen Wu; Bingbing Ni; Yeqi Sun; Shaokang Wang; Yingli Sun; et al. (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep learning-based magnetic resonance image super-resolution: a survey. - Zexin Ji; Beiji Zou 001; Xiaoyan Kui; Jun Liu 075; Wei Zhao 040; Chengzhang Zhu; Peishan Dai; Yulan Dai (Neural Comput. Appl., 2024)

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. - Jun Liu 075; Zhenglun Kong; Pu Zhao 001; Changdi Yang; Xuan Shen; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; Yanzhi Wang (AAAI, 2025)

A Computation and Energy Efficient Hardware Architecture for SSL Acceleration. - Huidong Ji; Sheng Li 019; Yue Cao; Chen Ding; Jiawei Xu 001; Qitao Tan; Jun Liu 075; Ao Li 004; Xulong Tang; Lirong Zheng 001; Geng Yuan; Zhuo Zou (ASP-DAC, 2025)

Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer. - Ci Zhang; Chence Yang; Qitao Tan; Jun Liu 075; Ao Li 004; Yanzhi Wang; Jin Lu 001; Jinhui Wang; Geng Yuan (ACM Great Lakes Symposium on VLSI, 2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Xuan Shen; Pu Zhao 001; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; Yanzhi Wang (ICASSP, 2025)

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. - Sheng Li 019; Qitao Tan; Yue Dai 005; Zhenglun Kong; Tianyu Wang; Jun Liu 075; Ao Li 004; Ninghao Liu; Yufei Ding 001; Xulong Tang; Geng Yuan (ICLR, 2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Changdi Yang; Xuan Shen; Pu Zhao 001; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; et al. (CoRR, 2025)

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. - Jun Liu 075; Zhenglun Kong; Pu Zhao 001; Weihao Zeng; Hao Tang 005; Xuan Shen; Changdi Yang; Wenbin Zhang 002; Geng Yuan; Wei Niu 002; Xue Lin 001; Yanzhi Wang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Structured Agent Distillation for Large Language Model. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Changdi Yang; Tianqi Li; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Pu Zhao 001; Xue Lin 001; Dong Huang; et al. (CoRR, 2025)

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory. - Jun Liu 075; Zhenglun Kong; Changdi Yang; Fan Yang; Tianqi Li; Peiyan Dong; Joannah Nanjekye; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Pu Zhao 001; et al. (CoRR, 2025)