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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]:0  IF:6.8/8.5 | Submit date：2024/08/26
Adaptation Models  Artificial Intelligence  Cloud Computing  Cloud-edge Computing  Collaboration  Computational Modeling  Data Models  Data Privacy  Large Model  Task Analysis  
Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks Journal article
Liu, Jianhong, Li, Dianshi Moses. Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks[J]. Asian Journal of Criminology, 2024, 19(2), 143-159.
Authors:  Liu, Jianhong;  Li, Dianshi Moses
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.8/1.9 | Submit date：2024/08/05
Black-box Algorithms  Computational Social Science  Explainable Artificial Intelligence  Interpretability Of Algorithms  Recidivism Prediction  
Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing] Journal article
Yu, Zhaoyuan, Li, Dongshuang, Du, Pei, Luo, Wen, Kou, Kit Ian, Bhatti, Uzair Aslam, Benger, Werner, Lv, Guonian, Yuan, Linwang. Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing][J]. IEEE Signal Processing Magazine, 2024, 41(3), 33-48.
Authors:  Yu, Zhaoyuan;  Li, Dongshuang;  Du, Pei;  Luo, Wen;  Kou, Kit Ian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:9.4/18.0 | Submit date：2024/09/03
Analytical Models  Computational Modeling  Data Visualization  Geoscience  Signal Processing  Predictive Models  Hypercomplex  Digital Twins  Oceanography  Artificial Intelligence  High Performance Computing  
Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory Journal article
Zhou, Jianhang, Li, Shuyi, Zeng, Shaoning, Zhang, Bob. Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Authors:  Zhou, Jianhang;  Li, Shuyi;  Zeng, Shaoning;  Zhang, Bob
Favorite | TC[WOS]:1 TC[Scopus]:0  IF:5.3/5.7 | Submit date：2024/05/16
Adaptation Models  Bayes Methods  Computational Intelligence  Computational Intelligence  Graph Theory  Nuclear Magnetic Resonance  Nuclear-norm Matrix Regression  Probabilistic Logic  Probability Theory  Random Graph  Structural Information  Training  
FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence Journal article
Dong, Jie, Wu, Zheng, Xu, Huanle, Ouyang, Defang. FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence[J]. Briefings in Bioinformatics, 2024, 25(1), bbad419.
Authors:  Dong, Jie;  Wu, Zheng;  Xu, Huanle;  Ouyang, Defang
Favorite | TC[WOS]:5 TC[Scopus]:11  IF:6.8/7.9 | Submit date：2024/02/22
Artificial Intelligence  Computational Pharmaceutics  Drug Design  Drug Formulation  Formulationai  Webserver  
Introduction to Computational Pharmaceutics Book chapter
出自: Exploring Computational Pharmaceutics - Ai and Modeling in Pharma 4.0:wiley, 2024, 页码:1-9
Authors:  Wang, Nannan;  Wang, Wei;  Zhong, Hao;  Ouyang, Defang
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Artificial Intelligence  Computational Pharmaceutics  Drug Formulation Development  Machine Learning  Multiscale Simulation  
An activated variable parameter gradient-based neural network for time-variant constrained quadratic programming and its applications Journal article
Wang,Guancheng, Hao,Zhihao, Li,Haisheng, Zhang,Bob. An activated variable parameter gradient-based neural network for time-variant constrained quadratic programming and its applications[J]. CAAI Transactions on Intelligence Technology, 2023, 8(3), 670-679.
Authors:  Wang,Guancheng;  Hao,Zhihao;  Li,Haisheng;  Zhang,Bob
Favorite | TC[WOS]:11 TC[Scopus]:14  IF:8.4/6.7 | Submit date：2023/08/03
Computational Intelligence  Mathematics Computing  Optimisation  
Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling Journal article
Li,Zhaoning, Jiang,Qiaoli, Wu,Zhengming, Liu,Anqi, Wu,Haiyan, Huang,Miner, Huang,Kai, Ku,Yixuan. Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling[J]. IEEE Transactions on Affective Computing, 2023, 15(2), 478-492.
Authors:  Li,Zhaoning;  Jiang,Qiaoli;  Wu,Zhengming;  Liu,Anqi;  Wu,Haiyan; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:9.6/11.0 | Submit date：2023/08/03
Affective Transition  Artificial Intelligence  Artificial Social Intelligence  Automobiles  Autonomous Cars (Acs)  Computational Modeling  Differential Emotions Scale (Des-iv)  Field Theory  Mentalising  Non-verbal Variation Of The Turing Test  Pre-trained Language Models (Plms)  Psychology  Roads  Signal Detection  Signal Detection Theory (Sdt)  Vehicles  
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification Journal article
Lai,Qi, Zhou,Jianhang, Gan,Yanfen, Vong,Chi Man, Chen,C. L.Philip. Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 8(1), 828-839.
Authors:  Lai,Qi;  Zhou,Jianhang;  Gan,Yanfen;  Vong,Chi Man;  Chen,C. L.Philip
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:5.3/5.7 | Submit date：2023/08/03
Biomedical Imaging  Computational Intelligence  Correlation  Diseases  Medical Image Classification  Multi-instance Learning  Multi-label Learning  Probabilistic Logic  Simultaneous Learning  Single-stage Framework  Task Analysis  Training  
Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases Book
Chang, Victor, Kaur, Harleen, Fong, Simon. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases[M]. Switzerland:Springer, 2022.
Authors:  Chang, Victor;  Kaur, Harleen;  Fong, Simon
Favorite |  | Submit date：2022/08/31
Artificial Intelligence  Machine Learning  Intelligence Methods  Vision Intelligence  Coronavirus  Covid-19  Computational Intelligence