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AQLoRA: An Adaptive Quantization-Based Efficient Fine-Tuning Method for LLMs Conference paper
Huang, Xingchen, Huo, Yujia, Wong, Derek F., Wang, Yao, Cai, Liqiong, Jiang, Yonghong. AQLoRA: An Adaptive Quantization-Based Efficient Fine-Tuning Method for LLMs[C]:Springer Science and Business Media Deutschland GmbH, 2025, 268-280.
Authors:  Huang, Xingchen;  Huo, Yujia;  Wong, Derek F.;  Wang, Yao;  Cai, Liqiong; et al.
Favorite | TC[Scopus]:0 | Submit date：2025/01/22
Fine-tuning  Large Language Model  Lora  
UELLM: A Unified and Efficient Approach for Large Language Model Inference Serving Conference paper
He, Yiyuan, Xu, Minxian, Wu, Jingfeng, Zheng, Wanyi, Ye, Kejiang, Xu, Chengzhong. UELLM: A Unified and Efficient Approach for Large Language Model Inference Serving[C]:Springer Science and Business Media Deutschland GmbH, 2025, 218-235.
Authors:  He, Yiyuan;  Xu, Minxian;  Wu, Jingfeng;  Zheng, Wanyi;  Ye, Kejiang; et al.
Favorite | TC[Scopus]:0 | Submit date：2025/01/22
Cloud Computing  Large Language Model Inference  Resource Management  Scheduling Algorithm  
A Theory of Semantic Communication Journal article
Shao, Yulin, Cao, Qi, Gunduz, Deniz. A Theory of Semantic Communication[J]. IEEE Transactions on Mobile Computing, 2024, 23(12), 12211-12228.
Authors:  Shao, Yulin;  Cao, Qi;  Gunduz, Deniz
Favorite | TC[WOS]:3 TC[Scopus]:8  IF:7.7/6.5 | Submit date：2024/07/04
Joint Source-channel Coding  Large Language Model  Semantic Communication  Semantic Decoding  Semantic Encoding  
Balancing Privacy and Robustness in Prompt Learning for Large Language Models Journal article
Shi, Chiyu, Su, Junyu, Chu, Chiawei, Wang, Baoping, Feng, Duanyang. Balancing Privacy and Robustness in Prompt Learning for Large Language Models[J]. Mathematics, 2024, 12(21), 3359.
Authors:  Shi, Chiyu;  Su, Junyu;  Chu, Chiawei;  Wang, Baoping;  Feng, Duanyang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.3/2.2 | Submit date：2024/12/05
Privacy Protextion  Large Language Model  Prompt Learning  
Pre-trained SAM as data augmentation for image segmentation Journal article
Wu, Junjun, Rao, Yunbo, Zeng, Shaoning, Zhang, Bob. Pre-trained SAM as data augmentation for image segmentation[J]. CAAI Transactions on Intelligence Technology, 2024.
Authors:  Wu, Junjun;  Rao, Yunbo;  Zeng, Shaoning;  Zhang, Bob
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.4/6.7 | Submit date：2024/11/05
Data Augmentation  Image Segmentation  Large Model  Segment Anything Model  
AntiFormer: graph enhanced large language model for binding affinity prediction Journal article
Wang, Qing, Feng, Yuzhou, Wang, Yanfei, Li, Bo, Wen, Jianguo, Zhou, Xiaobo, Song, Qianqian. AntiFormer: graph enhanced large language model for binding affinity prediction[J]. Briefings in Bioinformatics, 2024, 25(5), bbae403.
Authors:  Wang, Qing;  Feng, Yuzhou;  Wang, Yanfei;  Li, Bo;  Wen, Jianguo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:6.8/7.9 | Submit date：2024/09/03
Antibody Binding Affinity  Large Language Model  Antibody Maturation  Single-cell Bcr  
QUART: Latency-Aware FaaS System for Pipelining Large Model Inference Conference paper
Lin, Yanying, Li, Yanbo, Peng, Shijie, Tang, Yingfei, Luo, Shutian, Shen, Haiying, Xu, Chengzhong, Ye, Kejiang. QUART: Latency-Aware FaaS System for Pipelining Large Model Inference[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Lin, Yanying;  Li, Yanbo;  Peng, Shijie;  Tang, Yingfei;  Luo, Shutian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/10/10
Processor Scheduling  Computational Modeling  Tail  Position Measurement  Resource Management  Low Latency Communication  Distributed Computing  Pipeline Inference  Large Model  Serverless  Latency Aware  
Cloud-Edge Collaborative Large Model Services: Challenges and Solutions Journal article
Pan Yanghe, Su Zhou, Wang Yuntao, Guo Shaolong, Liu Han, Li Ruidong, Wu Yuan. Cloud-Edge Collaborative Large Model Services: Challenges and Solutions[J]. IEEE Network, 2024.
Authors:  Pan Yanghe;  Su Zhou;  Wang Yuntao;  Guo Shaolong;  Liu Han; et al.
Favorite | TC[Scopus]:3  IF:6.8/8.5 | Submit date：2024/08/26
Large Model  Artificial Intelligence  Adaptation Models  Cloud-edge Computing  
Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study Journal article
Mishra, Vishala, Sarraju, Ashish, Kalwani, Neil M., Dexter, Joseph P.. Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study[J]. Journal of Medical Internet Research, 2024, 26(1), e55388.
Authors:  Mishra, Vishala;  Sarraju, Ashish;  Kalwani, Neil M.;  Dexter, Joseph P.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:5.8/6.7 | Submit date：2024/05/16
Artificial Intelligence  Chatgpt  Gpt  Cardiology  Digital Health  Large Language Mode  Nlp  Language Model  Language Models  Prompt Engineering  Health Communication  Generative  Health Literacy  Natural Language Processing  Patient-physician Communication  Prevention  Cardiology  Cardiovascular  Heart  Education  Educational  Human-in-the-loop  Machine Learning  
PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions Conference paper
Zhang, Yudong, Xie, Ruobing, Chen, Jiansheng, Sun, Xingwu, Wang, Yu. PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions[C], New York, NY, USA:Association for Computing Machinery, Inc, 2024, 11175-11183.
Authors:  Zhang, Yudong;  Xie, Ruobing;  Chen, Jiansheng;  Sun, Xingwu;  Wang, Yu
Favorite | TC[Scopus]:0 | Submit date：2024/12/05
Detecting Adversarial Example  Large Vision-language Model