Peng Shu

According to our database, Peng Shu authored at least 32 papers between 2013 and 2024.

Collaborative distances:

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

2024

Large Language Models for Manufacturing.

Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Zhengliang Liu, Zihao Wu, Peng Shu, Jie Tian, Tianze Yang, Shaochen Xu, Yanjun Lyu, Parker Blenk, Jacob Pence, Jason Rupram, Eliza Banu, Ninghao Liu, Linbing Wang, Wen-Zhan Song, Xiaoming Zhai, Kenan Song, Dajiang Zhu, Beiwen Li, Xianqiao Wang, Tianming Liu

CoRR, 2024

Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning.

Pengfei Jin, Peng Shu, Sekeun Kim, Qing Xiao, Sifan Song, Cheng Chen, Tianming Liu, Xiang Li, Quanzheng Li

CoRR, 2024

EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis.

Yi Pan, Hanqi Jiang, Junhao Chen, Yiwei Li, Huaqin Zhao, Yifan Zhou, Peng Shu, Zihao Wu, Zhengliang Liu, Dajiang Zhu, Xiang Li, Yohannes Abate, Tianming Liu

CoRR, 2024

Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation.

Yujin Oh, Sangjoon Park, Xiang Li, Wang Yi, Jonathan Paly, Jason Efstathiou, Annie Chan, Jun Won Kim, Hwa Kyung Byun, Ik Jae Lee, Jaeho Cho, Chan Woo Wee, Peng Shu, Peilong Wang, Nathan Yu, Jason Holmes, Jong Chul Ye, Quanzheng Li, Wei Liu, Woong Sub Koom, Jin Sung Kim, Kyungsang Kim

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

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery.

Zhenyuan Yang, Xuhui Lin, Qinyi He, Ziye Huang, Zhengliang Liu, Hanqi Jiang, Peng Shu, Zihao Wu, Yiwei Li, Stephen Law, Gengchen Mai, Tianming Liu, Tao Yang

CoRR, 2024

MGH Radiology Llama: A Llama 3 70B Model for Radiology.

Yucheng Shi, Peng Shu, Zhengliang Liu, Zihao Wu, Quanzheng Li, Xiang Li

CoRR, 2024

ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping.

Yiwei Li, Zihao Wu, Huaqin Zhao, Tianze Yang, Zhengliang Liu, Peng Shu, Jin Sun, Ramviyas Parasuraman, Tianming Liu

CoRR, 2024

Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis.

Shaochen Xu, Zihao Wu, Huaqin Zhao, Peng Shu, Zhengliang Liu, Wenxiong Liao, Sheng Li, Andrea Sikora, Tianming Liu, Xiang Li

CoRR, 2024

LLMs for Coding and Robotics Education.

Peng Shu, Huaqin Zhao, Hanqi Jiang, Yiwei Li, Shaochen Xu, Yi Pan, Zihao Wu, Zhengliang Liu, Guoyu Lu, Le Guan, Gong Chen, Xianqiao Wang, Tianming Liu

CoRR, 2024

Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding.

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

CoRR, 2024

Revolutionizing Finance with LLMs: An Overview of Applications and Insights.

Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Gengchen Mai, Ninghao Liu, Tianming Liu

CoRR, 2024

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.

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

CoRR, 2024

2023

Real-time unmanned aerial vehicle flight path prediction using a bi-directional long short-term memory network with error compensation.

Sifan Chen, Baihe Chen, Peng Shu, Zhensheng Wang, Chengbin Chen

J. Comput. Des. Eng., January, 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

RadOnc-GPT: A Large Language Model for Radiation Oncology.

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

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

SAMAug: Point Prompt Augmentation for Segment Anything Model.

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

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

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

2019

Adaptive cache policy scheduling for big data applications on distributed tiered storage system.

Rong Gu, Chongjie Li, Peng Shu, Chunfeng Yuan, Yihua Huang

Concurr. Comput. Pract. Exp., 2019

Domain-Constrained Advertising Keyword Generation.

Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu

Proceedings of the World Wide Web Conference, 2019

2018

CA-LSTM: Search Task Identification with Context Attention based LSTM.

Cong Du, Peng Shu, Yong Li

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Joint Learning of Evolving Links for Dynamic Network Embedding.

Aakas Zhiyuli, Xun Liang, YanFang Chen, Peng Shu, Xiaoping Zhou

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Cloud-based learning system for answer ranking.

Li Wei Yuan, Lei Su, Yin Zhang, Guang Fang, Peng Shu

Clust. Comput., 2017

2016

Accelerating Big Data Applications on Tiered Storage System with Various Eviction Policies.

Peng Shu, Rong Gu, Qianhao Dong, Chunfeng Yuan, Yihua Huang

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Skipping Word: A Character-Sequential Representation based Framework for Question Answering.

Lingxun Meng, Yan Li, Mengyi Liu, Peng Shu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

AppATP: An Energy Conserving Adaptive Mobile-Cloud Transmission Protocol.

Fangming Liu, Peng Shu, John C. S. Lui

IEEE Trans. Computers, 2015

Label Propagation for Question Classification in CQA.

Jun Chen, Lei Su, Yiyang Li, Peng Shu

Proceedings of the Advances in Swarm and Computational Intelligence, 2015

2013

Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications.

Fangming Liu, Peng Shu, Hai Jin, Linjie Ding, Jie Yu, Di Niu, Bo Li

IEEE Wirel. Commun., 2013

eTime: Energy-efficient transmission between cloud and mobile devices.

Peng Shu, Fangming Liu, Hai Jin, Min Chen, Feng Wen, Yupeng Qu, Bo Li

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013