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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  
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  
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  
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]:2  IF:6.8/7.9 | Submit date：2024/09/03
Antibody Binding Affinity  Large Language Model  Antibody Maturation  Single-cell Bcr  
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  
The MorPhEMe Machine: An Addressable Neural Memory for Learning Knowledge-Regularized Deep Contextualized Chinese Embedding Journal article
Quan, Zhibin, Vong, Chi Man, Zeng, Weili, Yang, Wankou. The MorPhEMe Machine: An Addressable Neural Memory for Learning Knowledge-Regularized Deep Contextualized Chinese Embedding[J]. IEEE/ACM Transactions on Audio Speech and Language Processing, 2024, 32, 1673-1686.
Authors:  Quan, Zhibin;  Vong, Chi Man;  Zeng, Weili;  Yang, Wankou
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.1/4.2 | Submit date：2024/05/16
Addressable Neural Memory  Contextualized Embedding  External Memory  Pre-trained Language Model  Representation 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  
LLM for Complex Signal Processing in FPGA-based Software Defined Radios: A Case Study on FFT Conference paper
Du, Yuyang, Deng, Hongyu, Liew, Soung Chang, Shao, Yulin, Chen, Kexin, Chen, He. LLM for Complex Signal Processing in FPGA-based Software Defined Radios: A Case Study on FFT[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 204630.
Authors:  Du, Yuyang;  Deng, Hongyu;  Liew, Soung Chang;  Shao, Yulin;  Chen, Kexin; et al.
Favorite | TC[Scopus]:0 | Submit date：2025/01/13
Fast Fourier Transform  Fpga  Large Language Model  Software Defined Radio  Verilog  
GreenLLM: Towards Efficient Large Language Model via Energy-aware Pruning Conference paper
Tian, Chunlin, Qin, Xinpeng, Li, Li. GreenLLM: Towards Efficient Large Language Model via Energy-aware Pruning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202971.
Authors:  Tian, Chunlin;  Qin, Xinpeng;  Li, Li
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Edge Device  Energy-aware Pruning  Large Language Model