Daniel Manu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Hierarchical Model

Special Session

Graphics Processors

Top Venues

ACM Great Lakes Symposium on VLSI

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Daniel Manu, Youzuo Lin, Jingjing Yao, Zhirun Li, Xiang Sun
Enhancing IoT Security with Asynchronous Federated Learning for Seismic Inversion. ICC Workshops (2024)
Daniel Manu, Jingjing Yao, Wuji Liu, Xiang Sun
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (2) (2024)
Daniel Manu, Jingjing Yao, Wuji Liu, Xiang Sun
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery. CoRR (2023)
Kasun Prabhath, Xiang Sun, Sudharman K. Jayaweera, Daniel Manu, Karthik Kakaraparty, Sah Pallav, Ifana Mahbub, Jaya Sravani Mandapaka, Sudesna Das Rochi, Mahdin Meraz, Kamesh Namuduri
Invited Paper: Ground-Based Communication Support for Air Corridors. PIMRC (2023)
Daniel Manu, Petro Mushidi Tshakwanda, Youzuo Lin, Weiwen Jiang, Lei Yang
Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices. J. Imaging 8 (12) (2022)
Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang
FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper. ICCAD (2021)
Daniel Manu, Shaoyi Huang, Caiwen Ding, Lei Yang
Co-Exploration of Graph Neural Network and Network-on-Chip Design Using AutoML. ACM Great Lakes Symposium on VLSI (2021)
Shaoyi Huang, Shiyang Chen, Hongwu Peng, Daniel Manu, Zhenglun Kong, Geng Yuan, Lei Yang, Shusen Wang, Hang Liu, Caiwen Ding
HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU. ACM Great Lakes Symposium on VLSI (2021)