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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 1
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Ｔｈｅ blog is about .
Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
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publications
GRAIN: A Design-Intent-Driven Interactive Analog Layout Migration Framework
Published in Design, Automation and Test in Europe (DATE), 2025
This paper presents a design-intent-driven interactive analog layout migration framework.
Recommended citation: Liu, B.*, Jiang, H.*, Zhang, H., Gao, X., Kong, Z., Tang, X., Wang, R., & Lin, Y. (2025). "GRAIN: A Design-Intent-Driven Interactive Analog Layout Migration Framework." submitted to Design, Automation and Test in Europe (DATE). #
Parallel Critic-Free Reinforcement Learning with Direct Parameter Space Mapping for Large-Scale Analog LDO Sizing
Published in IEEE International Symposium on Circuits and Systems (ISCAS), 2025
This paper proposes a parallel critic-free reinforcement learning method for large-scale analog LDO sizing.
Recommended citation: Wu, H.*, Jiang, H.*, Wang, Z., An, W., Yuan, B., Lu, Y., & Jiang, J. (2025). "Parallel Critic-Free Reinforcement Learning with Direct Parameter Space Mapping for Large-Scale Analog LDO Sizing." IEEE International Symposium on Circuits and Systems (ISCAS). #
ACEMARL: Adaptive Clustering Enhanced Multi-Agent Reinforcement Learning for Analog Circuit Sizing
Published in Design, Automation and Test in Europe (DATE), 2025
This paper introduces adaptive clustering enhanced multi-agent reinforcement learning for analog circuit sizing.
Recommended citation: Wu, H.*, Jiang, H.*, Ou, Y., Wang, Z., Shen, Q., Yuan, B., Lu, Y., & Jiang, J. (2025). "ACEMARL: Adaptive Clustering Enhanced Multi-Agent Reinforcement Learning for Analog Circuit Sizing." Design, Automation and Test in Europe (DATE). #
Multi-agent Reinforcement Learning with Auto Group Assigning for Practical Analog-LDO Sizing
Published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025
This paper introduces a multi-agent reinforcement learning framework for optimizing power management ICs.
Recommended citation: Wu, H., Jiang, H., Wang, Z., Ou, Y., Yuan, B., Lu, Y., & Jiang, J. (2025). "Multi-agent Reinforcement Learning with Auto Group Assigning for Practical Analog-LDO Sizing." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). (Under review). #
FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing
Published in Association for the Advancement of Artificial Intelligence (AAAI), 2025
This paper proposes a functionality-driven multi-agent GRPO framework for analog-LDO sizing.
Recommended citation: Jiang, H.*, Wu, H.*, Wang, Z., Ou, Y., Chen, T., & Jiang, J. (2025). "FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing." in Association for the Advancement of Artificial Intelligence (AAAI). (Under review). #
A Foundation Model for Presurgical Brain Tumor Diagnosis and MRI Interpretation
Published in The British Medical Journal (BMJ), 2025
This paper presents a foundation model for presurgical brain tumor diagnosis using multimodal medical imaging.
Recommended citation: Wang, Y.*, Chen, J.*, Chen, Z.*, Kuang, S.*, Jiang, H., Shi, Y., Yuan, H., Wang, Y., Wang, B., Wu, L., Tang, B., Meng, L., Luo, B., Zhou, B., Ding, W., Zhong, W., Hou, W., Chen, Y., Wan, Z., Wang, W., Xiao, Z., Wan, W., He, A., Zhou, Y., Zhang, L., Wang, F., Liu, Z., Iv, M., Gong, X., & Qu, L. (2025). "A Foundation Model for Presurgical Brain Tumor Diagnosis and MRI Interpretation." The British Medical Journal. (Under review). #
ASUE-RL: Automatic Symmetry Discovery and Uncertainty-Guided Exploration with Autoencoder Navigation for Reinforcement Learning in Analog Circuit Optimization
Published in Design Automation Conference (DAC), 2025
This paper proposes automatic symmetry discovery and uncertainty-guided exploration for RL in analog circuit optimization.
Recommended citation: Wu, H., Jiang, H., Ou, Y., Wang, Z., Wang, Z., Zhou, S., Yuan, B., Lu, Y., & Jiang, J. (2025). "ASUE-RL: Automatic Symmetry Discovery and Uncertainty-Guided Exploration with Autoencoder Navigation for Reinforcement Learning in Analog Circuit Optimization." submitted to Design Automation Conference (DAC). #
SPECTRUM: Synergistic Precision Extraction and Chart Transformation Tool for Robust Unified Power SeMiconductor (IGBT) Datasheet
Published in EExPolytech, 2025
This paper presents an AI-powered tool for extracting and analyzing MOSFET/IGBT characteristic curves from datasheets.
Recommended citation: Wang, J.*, Jiang, H.*, Wang, J., Chen, R., Zhuang, C., & Song, J. (2025). "SPECTRUM: Synergistic Precision Extraction and Chart Transformation Tool for Robust Unified Power SeMiconductor (IGBT) Datasheet." submitted to EExPolytech. #
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks
Published in arXiv preprint arXiv:2503.11514, 2025
This study analyzes security vulnerabilities in federated learning systems.
Recommended citation: Guo.P, Wang.R, Zeng.S, Zhu.J, Jiang.H, Wang.Y, Zhou.Y, Wang.F, Xiong.H, & Qu.L (2025). "Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks." arXiv preprint arXiv:2503.11514. https://arxiv.org/abs/2503.11514
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding
Published in arXiv preprint arXiv:2506.09634, 2025
This paper introduces a hybrid spatial encoding network for 3D medical vision-language understanding.
Recommended citation: Shi, Y., Zhang, X., Ji, J., Jiang, H., Zheng, C., Wang, Y., & Qu, L. (2025). "HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding." arXiv preprint arXiv:2506.09634. https://arxiv.org/abs/2506.09634
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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