Peide Huang

BGI Group (China) — China

Computer Science · Physical Sciences

18h-index3.2kcitations42works1.12yr avg
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Research Topics

Reinforcement Learning in Robotics(6), Cancer Genomics and Diagnostics(6), Epigenetics and DNA Methylation(5), Bladder and Urothelial Cancer Treatments(4), Adversarial Robustness in Machine Learning(4)

Publications42 total

Identifying treatment response in AML through a multi-omics classifier of malignant cell states
Blood·2025Open Access
CMR-CLIP: Contrastive Language Image Pretraining for a Cardiac Magnetic Resonance Image Embedding with Zero-shot Capabilities
2025Open Access
Myeloma cell-intrinsic ANXA1 elevation and T cell dysfunction contribute to BCMA-negative relapse after CAR-T therapy
Molecular Therapy·2025Open Access
Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications
IEEE Robotics and Automation Letters·2025· 6 cited
Zero-shot classification for cardiac magnetic resonance imaging using multimodal pretraining
Journal of Cardiovascular Magnetic Resonance·2025· 1 citedOpen Access
Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications
arXiv (Cornell University)·2024Open Access
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories
arXiv (Cornell University)·2024· 1 citedOpen Access
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning
arXiv (Cornell University)·2023Open Access
Creative Robot Tool Use with Large Language Models
arXiv (Cornell University)·2023· 3 citedOpen Access
Multi-omics analyses of G6PD deficiency variants in Chinese population
Journal of genetics and genomics/Journal of Genetics and Genomics·2023· 2 cited
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
arXiv (Cornell University)·2023· 4 citedOpen Access
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging
arXiv (Cornell University)·2023· 2 citedOpen Access
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
arXiv (Cornell University)·2022· 1 citedOpen Access
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
arXiv (Cornell University)·2022· 4 citedOpen Access
The blood virome of 10,585 individuals from the ChinaMAP
Cell Discovery·2022· 16 citedOpen Access
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
arXiv (Cornell University)·2022· 19 citedOpen Access
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence·2022· 19 citedOpen Access
Progresses in epigenetic studies of asthma from the perspective of high-throughput analysis technologies: a narrative review
Annals of Translational Medicine·2022· 10 citedOpen Access
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
arXiv (Cornell University)·2022· 2 citedOpen Access
The ChinaMAP reference panel for the accurate genotype imputation in Chinese populations
Cell Research·2021· 57 citedOpen Access
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Frequent Co-authors

Lin Li(16), Ding Zhao(15), Mengdi Xu(10), Song Wu(9), Xuanlin Huang(8), Zhimin Feng(6), Xiaohui Sun(6), Huanming Yang(6), Xiaojuan Sun(5), Peina Du(5), Yanan Cao(4), Shengqing Wan(4), Weiqing Wang(4), Chao Chen(4), Rui Ye(4), Zhiming Cai(4), Jingxiao Lu(4), Xiaodong Fang(4), Jan Stenvang(4), Nils Brünner(4)