eTime: Energy-efficient transmission between cloud and mobile devices. - Peng Shu; Fangming Liu; Hai Jin 001; Min Chen 003; Feng Wen; Yupeng Qu; Bo Li 001 (INFOCOM, 2013)

Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications. - Fangming Liu; Peng Shu; Hai Jin 001; Linjie Ding; Jie Yu; Di Niu; Bo Li 001 (IEEE Wirel. Commun., 2013)

Label Propagation for Question Classification in CQA. - Jun Chen; Lei Su 003; Yiyang Li 001; Peng Shu (ICSI (2), 2015)

AppATP: An Energy Conserving Adaptive Mobile-Cloud Transmission Protocol. - Fangming Liu; Peng Shu; John C. S. Lui (IEEE Trans. Computers, 2015)

Skipping Word: A Character-Sequential Representation based Framework for Question Answering. - Lingxun Meng; Yan Li 014; Mengyi Liu; Peng Shu (CIKM, 2016)

Accelerating Big Data Applications on Tiered Storage System with Various Eviction Policies. - Peng Shu; Rong Gu; Qianhao Dong; Chunfeng Yuan; Yihua Huang 001 (Trustcom/BigDataSE/ISPA, 2016)

Cloud-based learning system for answer ranking. - Li Wei Yuan; Lei Su 003; Yin Zhang 002; Guang Fang; Peng Shu (Clust. Comput., 2017)

Joint Learning of Evolving Links for Dynamic Network Embedding. - Aakas Zhiyuli; Xun Liang 001; YanFang Chen; Peng Shu; Xiaoping Zhou (AAAI, 2018)

CA-LSTM: Search Task Identification with Context Attention based LSTM. - Cong Du; Peng Shu; Yong Li (SIGIR, 2018)

Domain-Constrained Advertising Keyword Generation. - Hao Zhou 012; Minlie Huang; Yishun Mao; Changlei Zhu; Peng Shu; Xiaoyan Zhu 001 (WWW, 2019)

Adaptive cache policy scheduling for big data applications on distributed tiered storage system. - Rong Gu; Chongjie Li; Peng Shu; Chunfeng Yuan; Yihua Huang 001 (Concurr. Comput. Pract. Exp., 2019)

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)

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)

SAMAug: Point Prompt Augmentation for Segment Anything Model. - Haixing Dai; Chong Ma; Zhengliang Liu; Yiwei Li 002; Peng Shu; Xiaozheng Wei; Lin Zhao 004; Zihao Wu 001; Dajiang Zhu; Wei Liu 146; Quanzheng Li; Tianming Liu 001; 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)

RadOnc-GPT: A Large Language Model for Radiation Oncology. - Zhengliang Liu; Peilong Wang; Yiwei Li 002; Jason Holmes; Peng Shu; Lian Zhang; Chenbin Liu; Ninghao Liu; Dajiang Zhu; Xiang Li 001; Quanzheng Li; Samir H. Patel; 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)

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., 2023)

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives. - Jiaqi Wang 010; Zihao Wu 001; Yiwei Li 002; Hanqi Jiang; Peng Shu; Enze Shi; Huawen Hu; Chong Ma; Yiheng Liu; Xuhui Wang; Yincheng Yao; Xuan Liu; et al. (CoRR, 2024)

Revolutionizing Finance with LLMs: An Overview of Applications and Insights. - Huaqin Zhao; Zhengliang Liu; Zihao Wu 001; Yiwei Li 002; Tianze Yang; Peng Shu; Shaochen Xu; Haixing Dai; Lin Zhao 004; Gengchen Mai; Ninghao Liu; Tianming Liu 001 (CoRR, 2024)

Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding. - Jie Tian; Jixin Hou; Zihao Wu 001; Peng Shu; Zhengliang Liu; Yujie Xiang; Beikang Gu; Nicholas Filla; Yiwei Li 002; Ning Liu; Xianyan Chen; Keke Tang; et al. (CoRR, 2024)

LLMs for Coding and Robotics Education. - Peng Shu; Huaqin Zhao; Hanqi Jiang; Yiwei Li 002; Shaochen Xu; Yi Pan 001; Zihao Wu 001; Zhengliang Liu; Guoyu Lu; Le Guan; Gong Chen; Xianqiao Wang; et al. (CoRR, 2024)

Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis. - Shaochen Xu; Zihao Wu 001; Huaqin Zhao; Peng Shu; Zhengliang Liu; Wenxiong Liao; Sheng Li 001; Andrea Sikora; Tianming Liu 001; Xiang Li 001 (CoRR, 2024)

ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping. - Yiwei Li 002; Zihao Wu 001; Huaqin Zhao; Tianze Yang; Zhengliang Liu; Peng Shu; Jin Sun 011; Ramviyas Parasuraman; Tianming Liu 001 (CoRR, 2024)

MGH Radiology Llama: A Llama 3 70B Model for Radiology. - Yucheng Shi; Peng Shu; Zhengliang Liu; Zihao Wu 001; Quanzheng Li; Xiang Li 001 (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 001; Yiwei Li 002; Stephen Law; Gengchen Mai; Tianming Liu 001; et al. (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)

Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation. - Yujin Oh; Sangjoon Park; Xiang Li 001; Wang Yi; Jonathan Paly; Jason Efstathiou; Annie Chan; Jun Won Kim; Hwa Kyung Byun; Ik Jae Lee; Jaeho Cho; Chan Woo Wee; et al. (CoRR, 2024)

Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning. - Pengfei Jin; Peng Shu; Sekeun Kim; Qing Xiao 003; Sifan Song; Cheng Chen 013; Tianming Liu 001; Xiang Li 001; Quanzheng Li (CoRR, 2024)

Large Language Models for Manufacturing. - Yiwei Li 002; Huaqin Zhao; Hanqi Jiang; Yi Pan 001; Zhengliang Liu; Zihao Wu 001; Peng Shu; Jie Tian; Tianze Yang; Shaochen Xu; Yanjun Lyu; Parker Blenk; et al. (CoRR, 2024)

Legal Evalutions and Challenges of Large Language Models. - Jiaqi Wang 010; Huan Zhao; Zhenyuan Yang; Peng Shu; Junhao Chen; Haobo Sun; Ruixi Liang; Shixin Li; Pengcheng Shi; Ma Longjun; Zongjia Liu; Zhengliang Liu; et al. (CoRR, 2024)

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation. - Peng Shu; Junhao Chen; Zhengliang Liu; Hui Wang 054; Zihao Wu 001; Tianyang Zhong; Yiwei Li 002; Huaqin Zhao; Hanqi Jiang; Yi Pan 001; Yifan Zhou; Constance Owl; et al. (CoRR, 2024)

OracleSage: Towards Unified Visual-Linguistic Understanding of Oracle Bone Scripts through Cross-Modal Knowledge Fusion. - Hanqi Jiang; Yi Pan 001; Junhao Chen; Zhengliang Liu; Yifan Zhou; Peng Shu; Yiwei Li 002; Huaqin Zhao; Stephen Mihm; Lewis C. Howe; Tianming Liu 001 (CoRR, 2024)

QueEn: A Large Language Model for Quechua-English Translation. - Junhao Chen; Peng Shu; Yiwei Li 002; Huaqin Zhao; Hanqi Jiang; Yi Pan 001; Yifan Zhou; Zhengliang Liu; Lewis C. Howe; Tianming Liu 001 (CoRR, 2024)

EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis. - Yi Pan 001; Hanqi Jiang; Junhao Chen; Yiwei Li 002; Huaqin Zhao; Yifan Zhou; Peng Shu; Zihao Wu 001; Zhengliang Liu; Dajiang Zhu; Xiang Li 001; Yohannes Abate; et al. (ISBI, 2025)

Deep Learning-Based Super-Resolution of Remote Sensing Images for Enhanced Groundwater Quality Assessment and Environmental Monitoring in Urban Areas. - Peng Shu; Rana Waqar Aslam; Iram Naz; Bushra Ghaffar; Dmitry Kucher; Abdul Quddoos; Danish Raza; Mohammad Abdullah-Al-Wadud; Rana Muhammad Zulqarnain (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Large Language Models for Bioinformatics. - Wei Ruan; Yanjun Lyu; Jing Zhang 010; Jiazhang Cai; Peng Shu; Yang Ge; Yao Lu; Shang Gao; Yue Wang; Peilong Wang; Lin Zhao 004; Tao Wang; et al. (CoRR, 2025)

Target-driven Self-Distillation for Partial Observed Trajectories Forecasting. - Pengfei Zhu 001; Peng Shu; Mengshi Qi; Liang Liu 001; Huadong Ma (CoRR, 2025)

Fine-Tuning Open-Source Large Language Models to Improve Their Performance on Radiation Oncology Tasks: A Feasibility Study to Investigate Their Potential Clinical Applications in Radiation Oncology. - Peilong Wang; Zhengliang Liu; Yiwei Li 002; Jason Holmes; Peng Shu; Lian Zhang; Xiang Li 001; Quanzheng Li; Brady S. Laughlin; Diego Santos Toesca; Sujay A. Vora; Samir H. Patel; et al. (CoRR, 2025)

Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising. - Tongtong Liu; Zhaohui Wang; Meiyue Qin; Zenghui Lu; Xudong Chen; Yuekui Yang; Peng Shu (CoRR, 2025)

Survey of HPC in US Research Institutions. - Peng Shu; Junhao Chen; Zhengliang Liu; Huaqin Zhao; Xinliang Li; Tianming Liu 001 (CoRR, 2025)

Adaptive Content Restriction for Large Language Models via Suffix Optimization. - Yige Li; Peihai Jiang; Jun Sun 001; Peng Shu; Tianming Liu 001; Zhen Xiang (CoRR, 2025)

ShoulderShot: Generating Over-the-Shoulder Dialogue Videos. - Yuang Zhang; Junqi Cheng; Haoyu Zhao; Jiaxi Gu; Fangyuan Zou; Zenghui Lu; Peng Shu (CoRR, 2025)