Jun Liu

According to our database, Jun Liu authored at least 59 papers between 2016 and 2025.

Collaborative distances:

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

2025

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory.

Jun Liu, Zhenglun Kong, Changdi Yang, Fan Yang, Tianqi Li, Peiyan Dong, Joannah Nanjekye, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang

CoRR, August, 2025

Structured Agent Distillation for Large Language Model.

Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Tianqi Li, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang

CoRR, May, 2025

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform.

Jun Liu, Zhenglun Kong, Pu Zhao, Weihao Zeng, Hao Tang, Xuan Shen, Changdi Yang, Wenbin Zhang, Geng Yuan, Wei Niu, Xue Lin, Yanzhi Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2025

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation.

Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang

CoRR, January, 2025

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning.

Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation.

Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer.

Ci Zhang, Chence Yang, Qitao Tan, Jun Liu, Ao Li, Yanzhi Wang, Jin Lu, Jinhui Wang, Geng Yuan

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

A Computation and Energy Efficient Hardware Architecture for SSL Acceleration.

Huidong Ji, Sheng Li, Yue Cao, Chen Ding, Jiawei Xu, Qitao Tan, Jun Liu, Ao Li, Xulong Tang, Lirong Zheng, Geng Yuan, Zhuo Zou

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment.

Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Deep learning-based magnetic resonance image super-resolution: a survey.

Zexin Ji, Beiji Zou, Xiaoyan Kui, Jun Liu, Wei Zhao, Chengzhang Zhu, Peishan Dai, Yulan Dai

Neural Comput. Appl., July, 2024

GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status.

Wei Zhao, Weidao Chen, Ge Li, Du Lei, Jiancheng Yang, Yanjing Chen, Yingjia Jiang, Jiangfen Wu, Bingbing Ni, Yeqi Sun, Shaokang Wang, Yingli Sun, Ming Li, Jun Liu

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

Deep reinforcement learning based controller placement and optimal edge selection in SDN-based multi-access edge computing environments.

Chunlin Li, Jun Liu, Ning Ma, Qingzhe Zhang, Zhengwei Zhong, Lincheng Jiang, Guolei Jia

J. Parallel Distributed Comput., 2024

Efficient resource allocation for IoT applications in mobile edge computing via dynamic request scheduling optimization.

Jun Liu, Chunlin Li, Youlong Luo

Expert Syst. Appl., 2024

Brain Tumor Classification on MRI in Light of Molecular Markers.

Jun Liu, Geng Yuan, Weihao Zeng, Hao Tang, Wenbin Zhang, Xue Lin, Xiaolin Xu, Dong Huang, Yanzhi Wang

CoRR, 2024

3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models.

Hao Chen, Wei Zhao, Yingli Li, Tianyang Zhong, Yisong Wang, Youlan Shang, Lei Guo, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang

CoRR, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.

Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu

CoRR, 2024

Efficient Pruning of Large Language Model with Adaptive Estimation Fusion.

Jun Liu, Chao Wu, Changdi Yang, Hao Tang, Haoye Dong, Zhenglun Kong, Geng Yuan, Wei Niu, Dong Huang, Yanzhi Wang

CoRR, 2024

Physical-space Multi-body Mesh Detection Achieved by Local Alignment and Global Dense Learning.

Haoye Dong, Tiange Xiang, Sravan Chittupalli, Jun Liu, Dong Huang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

DF-VTON: Dense Flow Guided Virtual Try-On Network.

Haoye Dong, Jun Liu, Dong Huang

Proceedings of the IEEE International Conference on Acoustics, 2024

InstructGIE: Towards Generalizable Image Editing.

Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

Reconstruction-Guided Multi-Stage Network For MRI Super-Resolution.

Zexin Ji, Beiji Zou, Xiaoyan Kui, Yang Li, Jun Liu, Wei Zhao, Chengzhang Zhu, Yulan Dai

Proceedings of the International Conference on Computer Vision and Deep Learning, 2024

Strong Multimodal Representation Learner through Cross-domain Distillation for Alzheimer's Disease Classification.

Yulan Dai, Beiji Zou, Xiaoyan Kui, Qinsong Li, Wei Zhao, Jun Liu, Miguel Bordallo López

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

2023

Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder.

Zuowei Jiang, Xiaoyan Cai, Libin Yang, Dehong Gao, Wei Zhao, Junwei Han, Jun Liu, Dinggang Shen, Tianming Liu

IEEE Trans. Biomed. Eng., December, 2023

Anomaly detection for streaming data based on grid-clustering and Gaussian distribution.

Beiji Zou, Kangkang Yang, Xiaoyan Kui, Jun Liu, Shenghui Liao, Wei Zhao

Inf. Sci., August, 2023

Security in IoT-Enabled Digital Twins of Maritime Transportation Systems.

Jun Liu, Chunlin Li, Jingpan Bai, Youlong Luo, Haibin Lv, Zhihan Lv

IEEE Trans. Intell. Transp. Syst., February, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.

Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu

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, 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

CoRR, 2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.

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

CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.

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

CoRR, 2023

Radiology-GPT: A Large Language Model for Radiology.

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

CoRR, 2023

Artificial General Intelligence for Medical Imaging.

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

CoRR, 2023

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.

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

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 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, Chong Siang Yew, Puqing Jiang, Wenbin Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023

A Scalable Real-time Semantic Segmentation Network for Autonomous Driving.

Jun Liu, Chao Wu, Geng Yuan, Wei Niu, Wenbin Zhang, Houbing Herbert Song

Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, 2023

2022

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.

Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang

ACM Trans. Embed. Comput. Syst., September, 2022

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation.

Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen

IEEE Trans. Medical Imaging, 2022

Blockchain-Based Secure Communication of Intelligent Transportation Digital Twins System.

Jun Liu, Lei Zhang, Chunlin Li, Jingpan Bai, Haibin Lv, Zhihan Lv

IEEE Trans. Intell. Transp. Syst., 2022

Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading.

Jianhong Cheng, Min Gao, Jin Liu, Hailin Yue, Hulin Kuang, Jun Liu, Jianxin Wang

IEEE J. Biomed. Health Informatics, 2022

Improved LSTM-Based Abnormal Stream Data Detection and Correction System for Internet of Things.

Jun Liu, Jingpan Bai, Huahua Li, Bo Sun

IEEE Trans. Ind. Informatics, 2022

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images.

Jianhong Cheng, Wei Zhao, Jin Liu, Xingzhi Xie, Shangjie Wu, Liangliang Liu, Hailin Yue, Junjian Li, Jianxin Wang, Jun Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Fault-tolerant scheduling and data placement for scientific workflow processing in geo-distributed clouds.

Chunlin Li, Jun Liu, Min Wang, Youlong Luo

J. Syst. Softw., 2022

2021

SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images.

Shixuan Zhao, Zhidan Li, Yang Chen, Wei Zhao, Xingzhi Xie, Jun Liu, Di Zhao, Yongjie Li

Pattern Recognit., 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, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen

Pattern Recognit., 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, Kai Yuan

NeuroImage, 2021

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.

Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen

Medical Image Anal., 2021

Adaptive priority-based data placement and multi-task scheduling in geo-distributed cloud systems.

Chunlin Li, Jun Liu, Weigang Li, Youlong Luo

Knowl. Based Syst., 2021

Cost-aware automatic scaling and workload-aware replica management for edge-cloud environment.

Chunlin Li, Jun Liu, Bo Lu, Youlong Luo

J. Netw. Comput. Appl., 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, Ying Wei, Yichu He, Ping Zeng, Jun Liu, Wenjing Wang, Liping Lin, Qingning Yang, Chuanming Li, Xinghua Liu

Int. J. Imaging Syst. Technol., 2021

Resource allocation and scheduling in the intelligent edge computing context.

Jun Liu, Tianfu Yang, Jingpan Bai, Bo Sun

Future Gener. Comput. Syst., 2021

Deeply learning a discriminative spatial-temporal feature for robot action understanding.

Jun Liu, Bo Sun, Jingpan Bai

Future Gener. Comput. Syst., 2021

Efficient cooperative cache management for latency-aware data intelligent processing in edge environment.

Chunlin Li, Jun Liu, Qingchuan Zhang, Youlong Luo

Future Gener. Comput. Syst., 2021

A deep-learning-based framework for severity assessment of COVID-19 with CT images.

Zhidan Li, Shixuan Zhao, Yang Chen, Fuya Luo, Zhiqing Kang, Shengping Cai, Wei Zhao, Jun Liu, Di Zhao, Yongjie Li

Expert Syst. Appl., 2021

Computing infection distributions and longitudinal evolution patterns in lung CT images.

Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue

BMC Medical Imaging, 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, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang

Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

An Explainable Convolutional Neural Networks for Automatic Segmentation of the Left Ventricle in Cardiac MRI.

Jun Liu, Feng Deng, Geng Yuan, Xue Lin, Houbing Song, Yanzhi Wang

Proceedings of CECNet 2021, 2021

2020

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.

Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen

IEEE Trans. Medical Imaging, 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, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen

CoRR, 2020

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images.

Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen

CoRR, 2020

2016

Underwater acoustic sensor networks.

Yi Pan, Roee Diamant, Jun Liu

Int. J. Distributed Sens. Networks, 2016