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Author

Ruinan Jin

Observed name: Jin, Ruinan
Observed institutions: University of British Columbia, Chinese University of Hong Kong, Chinese Academy of Sciences, Institute of Automation, Prince of Wales Hospital, Chinese University of Hong Kong, Shenzhen, Vector Institute
ORCID: 0009-0000-1421-2555
Observed ORCIDs: 0009-0000-1421-2555, 0009-0008-7585-8534
OpenAlex ID: A5078221177
Backdoor attack and defense in federated generative adversarial network-based medical image synthesis
2023 · Ruinan Jin, Xiaoxiao Li · Medical Image Analysis · 50
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FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
2024 · Ruinan Jin, Zikang Xu, et al. · neural information processing systems · 42
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Fast density estimation for density-based clustering methods
2023 · Difei Cheng, Ruihang Xu, et al. · Neurocomputing · 31
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Forgettable Federated Linear Learning With Certified Data Unlearning
2026 · Ruinan Jin, Minghui Chen, et al. · IEEE Transactions on Neural Networks and Learning Systems · 28
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Backdoor Attack is a Devil in Federated GAN-Based Medical Image Synthesis
2022 · Ruinan Jin, Xiaoxiao Li · Lecture notes in computer science · 16
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On the Convergence of mSGD and AdaGrad for Stochastic Optimization
2022 · Jin, Ruinan, Xing, Yu, et al. · arXiv (Cornell University) · 10
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Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
2024 · Ruinan Jin, Wenlong Deng, et al. · Lecture notes in computer science · 9
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Can Generalist Vision Language Models (VLMs) Rival Specialist Medical VLMs? Benchmarking and Strategic Insights
2025 · Zhong, Yuan, Jin, Ruinan, et al. · arXiv (Cornell University) · 8
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Federated Learning on Virtual Heterogeneous Data with Local-global Distillation
2023 · Huang, Chun-Yin, Jin, Ruinan, et al. · arXiv (Cornell University) · 8
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Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
2024 · Ruinan Jin, Chun-Yin Huang, et al. · IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) · 6
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COBALT: Contextual Bandit Learning with Offline Trajectories for Multi-Turn Code Generation
2026 · Chen, Ziru, Chen, Dongdong, et al. · arXiv (Cornell University) · 4
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A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
2024 · Jin, Ruinan, Li, Xiao, et al. · arXiv (Cornell University) · 4
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Stability and convergence analysis of AdaGrad for non-convex optimization via novel stopping time-based techniques
2024 · Jin, Ruinan, Wang, Xiaoyu, et al. · arXiv (Cornell University) · 4
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Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization
2023 · Difei Cheng, Yunfeng Zhang, et al. · Journal of Circuits Systems and Computers · 3
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Stochastic Gradient Descent in Non-Convex Problems: Asymptotic Convergence with Relaxed Step-Size via Stopping Time Methods
2025 · Jin, Ruinan, Cheng, Difei, et al. · arXiv (Cornell University) · 1
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Beyond Real or Fake: A Dual-Channel Authenticity and Reasoning Protocol for Photographic Assessment
2026 · Li, Xiaoxiao, Jin, Ruinan, et al. · arXiv (Cornell University)
VLMProbe: An Open-source Library for VLM Probing and Interpretation
2026 · Huang, Gexin, Fu, Haisheng, et al. · arXiv (Cornell University)
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EvalRx: Agentic Diagnosis and Verified Repair of Foundation Models
2026 · Liu, Jiaqi, Jin, Ruinan, et al. · arXiv (Cornell University)
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Self-Evolving Agents via Likelihood-Guided Tool-Space Optimization
2026 · Zhang, Xuanqi, Jin, Ruinan, et al. · arXiv (Cornell University)
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Convergence Analysis of the Last Iterate in Distributed Stochastic Gradient Descent with Momentum
2025 · Difei Cheng, Ruinan Jin, et al. · SSRN Electronic Journal
Works count: 20
Citation count: 224
H-index: 8
I10-index: 6
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