Peng Shu

According to our database1, Peng Shu authored at least 28 papers between 2013 and 2024.

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Bibliography

2024
Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR, 2024

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery.
CoRR, 2024

MGH Radiology Llama: A Llama 3 70B Model for Radiology.
CoRR, 2024

ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping.
CoRR, 2024

Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis.
CoRR, 2024

LLMs for Coding and Robotics Education.
CoRR, 2024

Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding.
CoRR, 2024

Revolutionizing Finance with LLMs: An Overview of Applications and Insights.
CoRR, 2024

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.
CoRR, 2024

2023
Real-time unmanned aerial vehicle flight path prediction using a bi-directional long short-term memory network with error compensation.
J. Comput. Des. Eng., January, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

RadOnc-GPT: A Large Language Model for Radiation Oncology.
CoRR, 2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.
CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR, 2023

SAMAug: Point Prompt Augmentation for Segment Anything Model.
CoRR, 2023

Radiology-GPT: A Large Language Model for Radiology.
CoRR, 2023

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.
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.
Concurr. Comput. Pract. Exp., 2019

Domain-Constrained Advertising Keyword Generation.
Proceedings of the World Wide Web Conference, 2019

2018
CA-LSTM: Search Task Identification with Context Attention based LSTM.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Joint Learning of Evolving Links for Dynamic Network Embedding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Cloud-based learning system for answer ranking.
Clust. Comput., 2017

2016
Accelerating Big Data Applications on Tiered Storage System with Various Eviction Policies.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Skipping Word: A Character-Sequential Representation based Framework for Question Answering.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
AppATP: An Energy Conserving Adaptive Mobile-Cloud Transmission Protocol.
IEEE Trans. Computers, 2015

Label Propagation for Question Classification in CQA.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

2013
Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications.
IEEE Wirel. Commun., 2013

eTime: Energy-efficient transmission between cloud and mobile devices.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013


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