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ORCIDWei-Chen Wang 0002
Person information
- unicode name: 王韋程
- affiliation: Massachusetts Institute of Technology (MIT), Department of Electrical Engineering and Computer Science, Cambridge, MA, USA
- affiliation: Macronix International Company Ltd., Hsinchu, Taiwan
- affiliation (PhD 2021): National Taiwan University, Department of Computer Science and Information Engineering, Taipei, Taiwan
- not to be confused with: Wei-Chen Wang 0003
Other persons with the same name
- Weichen Wang (aka: Wei-chen Wang, Wei-Chen Wang) — disambiguation page
- Wei-Chen Wang 0003 (aka: Wei-Chen (Eric) Wang, Weichen Wang 0003) — Massachusetts Institute of Technology (MIT), Department of Electrical Engineering and Computer Science, Cambridge, MA, USA (and 1 more)
- Weichen Wang 0001
![[0000-0001-6738-9944]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6738-9944")
— Dartmouth College, Hanover, NH, USA - Weichen Wang 0004 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China
- Weichen Wang 0005 — KLab Inc, Tokyo, Japan (and 1 more)
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Journal Articles
- 2024
[j4]Yu-Pang Wang, Weichen Wang, Yuan-Hao Chang, Chieh-Lin Tsai, Tei-Wei Kuo, Chun-Feng Wu, Chien-Chung Ho, Han-Wen Hu:
TCAM-GNN: A TCAM-Based Data Processing Strategy for GNN Over Sparse Graphs. IEEE Trans. Emerg. Top. Comput. 12(3): 891-904 (2024)- 2023
- [j3]Wei-Chen Wang, Chien-Chung Ho, Yung-Chun Li, Liang-Chi Chen, Yu-Ming Chang:
Reaping Both Latency and Reliability Benefits With Elaborate Sanitization Design for 3D TLC NAND Flash. IEEE Trans. Computers 72(11): 3029-3041 (2023) - 2019
- [j2]Wei-Chen Wang, Yuan-Hao Chang, Tei-Wei Kuo, Chien-Chung Ho, Yu-Ming Chang, Hung-Sheng Chang:
Achieving Lossless Accuracy with Lossy Programming for Efficient Neural-Network Training on NVM-Based Systems. ACM Trans. Embed. Comput. Syst. 18(5s): 68:1-68:22 (2019) - 2018
- [j1]Wei-Chen Wang, Chien-Chung Ho, Yuan-Hao Chang, Tei-Wei Kuo, Ping-Hsien Lin:
Scrubbing-Aware Secure Deletion for 3-D NAND Flash. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2790-2801 (2018)
Conference and Workshop Papers
- 2024
- [c16]Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, Song Han:
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. MLSys 2024 - [c15]Kun-Chi Chiang, Yung-Chun Li, Wei-Chen Wang, Wei-Kuan Shih:
On Enhancing Data Integrity with Low-cost Retention-Refillable Programming Scheme. SAC 2024: 420-427 - 2023
- [c14]Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han:
PockEngine: Sparse and Efficient Fine-tuning in a Pocket. MICRO 2023: 1381-1394 - [c13]Wei-Chen Wang, Chien-Chung Ho, Yuan-Hao Chang, Tei-Wei Kuo:
Retention Leveling: Leverage Retention Refreshing and Wear Leveling Techniques to Enhance Flash Reliability with the Awareness of Temperature. NVMSA 2023: 1-6 - [c12]Liang-Chi Chen, Shu-Qi Yu, Chien-Chung Ho, Wei-Chen Wang, Yung-Chun Li:
Efficient Sanitization Design for LSM-based Key-Value Store over 3D MLC NAND Flash. SAC 2023: 72-75 - 2022
- [c11]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: 138-140 - [c10]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: 763-783 - [c9]Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han:
On-Device Training Under 256KB Memory. NeurIPS 2022 - [c8]Liang-Chi Chen, Shu-Qi Yu, Chien-Chung Ho, Yuan-Hao Chang, Da-Wei Chang, Wei-Chen Wang, Yu-Ming Chang:
RNA-seq Quantification on Processing in memory Architecture: Observation and Characterization. NVMSA 2022: 26-32 - [c7]Yu-Ming Chang, Chien-Chung Ho, Che-Wei Tsao, Shu-Hsien Liao, Wei-Chen Wang, Tei-Wei Kuo, Yuan-Hao Chang:
On enduring more data through enabling page rewrite capability on multi-level-cell flash memory. SAC 2022: 107-115 - [c6]Chien-Chung Ho, Wei-Chen Wang, Szu-Yu Chen, Yung-Chun Li, Kun-Chi Chiang:
RAM: exploiting restrained and approximate management for enabling neural network training on NVM-based systems. SAC 2022: 116-123 - 2021
- [c5]Ting-Shan Lo, Chun-Feng Wu, Yuan-Hao Chang, Tei-Wei Kuo, Wei-Chen Wang:
Space-efficient Graph Data Placement to Save Energy of ReRAM Crossbar. ISLPED 2021: 1-6 - [c4]Chien-Chung Ho, Wei-Chen Wang, Te-Hao Hsu, Zhi-Duan Jiang, Yung-Chun Li:
Approximate Programming Design for Enhancing Energy, Endurance and Performance of Neural Network Training on NVM-based Systems. NVMSA 2021: 1-6 - 2019
- [c3]Wei-Chen Wang, Ping-Hsien Lin, Yung-Chun Li, Chien-Chung Ho, Yu-Ming Chang, Yuan-Hao Chang:
Toward Instantaneous Sanitization through Disturbance-induced Errors and Recycling Programming over 3D Flash Memory. ICCAD 2019: 1-8 - 2018
- [c2]Ping-Hsien Lin, Yu-Ming Chang, Yung-Chun Li, Wei-Chen Wang, Chien-Chung Ho, Yuan-Hao Chang:
Achieving fast sanitization with zero live data copy for MLC flash memory. ICCAD 2018: 41 - [c1]Chien-Chung Ho, Yung-Chun Li, Ping-Hsien Lin, Wei-Chen Wang, Yuan-Hao Chang:
A Stride-Away Programming Scheme to Resolve Crash Recoverability and Data Readability Issues of Multi-Level-Cell Flash Memory. NVMSA 2018: 67-72
Informal and Other Publications
- 2024
- [i3]Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song Han:
Tiny Machine Learning: Progress and Futures. CoRR abs/2403.19076 (2024) - 2023
- [i2]Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Chen Wang, Wei-Ming Chen, Chuang Gan, Song Han:
PockEngine: Sparse and Efficient Fine-tuning in a Pocket. CoRR abs/2310.17752 (2023) - 2022
- [i1]Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han:
On-Device Training Under 256KB Memory. CoRR abs/2206.15472 (2022)
Coauthor Index
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