Han-Wen Hu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Sparsity Inducing

Approximate Similarity Search

Top Venues

ACM Trans. Embed. Comput. Syst.

VLSI Technology and Circuits

Publications

Chieh-Lin Tsai, Chun-Feng Wu, Yuan-Hao Chang, Han-Wen Hu, Yung-Chun Lee, Hsiang-Pang Li, Tei-Wei Kuo
A digital 3D TCAM accelerator for the inference phase of Random Forest. DAC (2023)
Wei-Ting Lin, Hsiang-Yun Cheng, Chia-Lin Yang, Meng-Yao Lin, Kai Lien, Han-Wen Hu, Hung-Sheng Chang, Hsiang-Pang Li, Meng-Fan Chang, Yen-Ting Tsou, Chin-Fu Nien
DL-RSIM: A Reliability and Deployment Strategy Simulation Framework for ReRAM-based CNN Accelerators. ACM Trans. Embed. Comput. Syst. 21 (3) (2022)
Zhong-Jie Hong, Demin Liu, Shu-Ting Hsieh, Han-Wen Hu, Ming-Wei Weng, Chih-I Cho, Jui-Han Liu, Kuan-Neng Chen
Room Temperature Cu-Cu Direct Bonding Using Wetting/Passivation Scheme for 3D Integration and Packaging. VLSI Technology and Circuits (2022)
Han-Wen Hu, Wei-Chen Wang, Yuan-Hao Chang, Yung-Chun Lee, Bo-Rong Lin, Huai-Mu Wang, Yen-Po Lin, Yu-Ming Huang, Chong-Ying Lee, Tzu-Hsiang Su, Chih-Chang Hsieh, Chia-Ming Hu, Yi-Ting Lai, Chung Kuang Chen, Han-Sung Chen, Hsiang-Pang Li, Tei-Wei Kuo, Meng-Fan Chang, Keh-Chung Wang, Chun-Hsiung Hung, Chih-Yuan Lu
ICE: An Intelligent Cognition Engine with 3D NAND-based In-Memory Computing for Vector Similarity Search Acceleration. MICRO (2022)
Han-Wen Hu, Wei-Chen Wang, Chung Kuang Chen, Yung-Chun Lee, Bo-Rong Lin, Huai-Mu Wang, Yen-Po Lin, Yu-Chao Lin, Chih-Chang Hsieh, Chia-Ming Hu, Yi-Ting Lai, Han-Sung Chen, Yuan-Hao Chang, Hsiang-Pang Li, Tei-Wei Kuo, Keh-Chung Wang, Meng-Fan Chang, Chun-Hsiung Hung, Chih-Yuan Lu
A 512Gb In-Memory-Computing 3D-NAND Flash Supporting Similar-Vector-Matching Operations on Edge-AI Devices. ISSCC (2022)
Hang-Ting Lue, Han-Wen Hu, Tzu-Hsuan Hsu, Po-Kai Hsu, Keh-Chung Wang, Chih-Yuan Lu
Design of Computing-in-Memory (CIM) with Vertical Split-Gate Flash Memory for Deep Neural Network (DNN) Inference Accelerator. ISCAS (2021)
Tzu-Hsien Yang, Hsiang-Yun Cheng, Chia-Lin Yang, I-Ching Tseng, Han-Wen Hu, Hung-Sheng Chang, Hsiang-Pang Li
Sparse ReRAM engine: joint exploration of activation and weight sparsity in compressed neural networks. ISCA (2019)
Meng-Yao Lin, Hsiang-Yun Cheng, Wei-Ting Lin, Tzu-Hsien Yang, I-Ching Tseng, Chia-Lin Yang, Han-Wen Hu, Hung-Sheng Chang, Hsiang-Pang Li, Meng-Fan Chang
DL-RSIM: a simulation framework to enable reliable ReRAM-based accelerators for deep learning. ICCAD (2018)