Jian Liang

Beijing Academy of Artificial Intelligence — China

Computer Science · Physical Sciences

15h-index1.7kcitations51works1.12yr avg
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Research Topics

Rough Sets and Fuzzy Logic(7), Advanced Image and Video Retrieval Techniques(6), Image Retrieval and Classification Techniques(6), Handwritten Text Recognition Techniques(5), Domain Adaptation and Few-Shot Learning(5)

Publications50 total

An Enhanced Federated Prototype Learning Method Under Domain Shift
Lecture notes in computer science·2026
Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion
SSRN Electronic Journal·2026· 1 citedOpen Access
Internal mammary lymph nodes in breast cancer: A comprehensive review of anatomy, imaging, biopsy considerations, clinical implications, and future directions
Current Problems in Diagnostic Radiology·2025
An Explainable Multimodal Artificial Intelligence Model Integrating Histopathological Microenvironment and EHR Phenotypes for Germline Genetic Testing in Breast Cancer
Advanced Science·2025· 3 citedOpen Access
A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective
2025
Sample Correlation for Fingerprinting Deep Face Recognition
arXiv (Cornell University)·2024· 1 citedOpen Access
Establishment and clinical application of a prognostic index for inflammatory status in triple-negative breast cancer patients undergoing neoadjuvant therapy using machine learning
BMC Cancer·2024· 3 citedOpen Access
Sample Correlation for Fingerprinting Deep Face Recognition
International Journal of Computer Vision·2024· 2 cited
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
arXiv (Cornell University)·2024Open Access
Meta Graph Learning for Long-tail Recommendation
2023· 18 cited
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise
2022 International Joint Conference on Neural Networks (IJCNN)·2022· 1 cited
Malware Detection Using Automated Generation of Yara Rules on Dynamic Features
Lecture notes in computer science·2022· 13 cited
Detection and Recognition of Abnormal Data Caused by Network Intrusion Using Deep Learning
Informatica·2021· 3 citedOpen Access
Research on Detection and Recognition of Abnormal Data caused by Network Intrusion using Deep Learning
Research Square (Research Square)·2021Open Access
Robust Few-Shot Learning for User-Provided Data
IEEE Transactions on Neural Networks and Learning Systems·2020· 60 cited
PROTOTYPE-ASSISTED ADVERSARIAL LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION
2019
Data-Driven Subtyping of Parkinson’s Disease Using Longitudinal Clinical Records: A Cohort Study
Scientific Reports·2019· 144 citedOpen Access
Leveraging mixed and incomplete outcomes via reduced-rank modeling
Journal of Multivariate Analysis·2018· 27 cited
An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease
Society for Industrial and Applied Mathematics eBooks·2017· 130 citedOpen Access
Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy
2016· 47 cited
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Frequent Co-authors

David Doermann(9), Changshui Zhang(4), Daniel DeMenthon(4), Fei Wang(3), Lei Zhong(3), Huiping Li(2), Cao Xiao(2), Xie Qing-hua(2), Tianyi Liu(2), Yan Jian(2), Xiaoyang Dong(2), Hao Sun(2), Xiaoyan Zhang(2), Mingqiang Ding(2), Jiyang Guan(2), Yanbo Wang(2), Ran He(2), Hongwei Qin(1), Xiu Li(1), Yigang Peng(1)