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2020 – today
- 2024
[c9]Zhou Jin, Wenhao Li, Yinuo Bai, Tengcheng Wang, Yicheng Lu, Weifeng Liu
:
Machine Learning and GPU Accelerated Sparse Linear Solvers for Transistor-Level Circuit Simulation: A Perspective Survey (Invited Paper). ASPDAC 2024: 96-101- [c8]Yinuo Bai, Xiaoyu Yang, Yicheng Lu, Dan Niu, Cheng Zhuo, Zhou Jin, Weifeng Liu:
Efficient Spectral-Aware Power Supply Noise Analysis for Low-Power Design Verification. DATE 2024: 1-6 - [c7]Tingkai Liu, Huili Tao, Yicheng Lu, Zhongbo Zhu, Marquita Ellis, Sara Kokkila Schumacher, Volodymyr V. Kindratenko:
Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems. Euro-Par (1) 2024: 180-194 - 2023
- [i1]Xiaolong Xu, Lingjuan Lyu, Yihong Dong, Yicheng Lu, Weiqiang Wang, Hong Jin:
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention. CoRR abs/2301.12885 (2023) - 2022
- [j4]Luda Zhao, Bin Wang, Xiaoping Jiang, Yicheng Lu, Yihua Hu:
DIP-MOEA: a double-grid interactive preference based multi-objective evolutionary algorithm for formalizing preferences of decision makers. Frontiers Inf. Technol. Electron. Eng. 23(11): 1714-1732 (2022) - [c6]Hsuan-Chi Kuo, Kai-Hsun Chen, Yicheng Lu, Dan Williams, Sibin Mohan, Tianyin Xu:
Verified programs can party: optimizing kernel extensions via post-verification merging. EuroSys 2022: 283-299 - [c5]Haitao Ge, Weiwei Shan, Yicheng Lu, Jun Yang:
A 28nm, 4.69TOPS/W Training, 2.34µJ/lmage Inference, on-chip Training Accelerator with Inference-compatible Back Propagation. ICTA 2022: 98-99 - 2021
- [j3]Weiwei Shan, Minhao Yang, Tao Wang, Yicheng Lu, Hao Cai, Lixuan Zhu, Jiaming Xu, Chengjun Wu, Longxing Shi, Jun Yang:
A 510-nW Wake-Up Keyword-Spotting Chip Using Serial-FFT-Based MFCC and Binarized Depthwise Separable CNN in 28-nm CMOS. IEEE J. Solid State Circuits 56(1): 151-164 (2021) - [j2]Sisi Shao, Fei Chen, Xiaoying Xiao, Weiheng Gu, Yicheng Lu, Shu Wang, Wen Tang, Shangdong Liu, Fei Wu, Jing He, Yimu Ji, Kaixiang Zhang, Fen Mei:
IBE-BCIOT: an IBE based cross-chain communication mechanism of blockchain in IoT. World Wide Web 24(5): 1665-1690 (2021) - [c4]Lixuan Zhu, Weiwei Shan, Jiaming Xu, Yicheng Lu:
AAD-KWS: a sub-µW keyword spotting chip with a zero-cost, acoustic activity detector from a 170nW MFCC feature extractor in 28nm CMOS. ESSCIRC 2021: 99-102 - [c3]Lixuan Zhu, Weiwei Shan, Jiaming Xu, Yicheng Lu:
AAD-KWS: a sub-$\mu\mathrm{W}$ keyword spotting chip with a zero-cost, acoustic activity detector from a 170nW MFCC feature extractor in 28nm CMOS. ESSDERC 2021: 99-102 - 2020
- [c2]Weiwei Shan, Minhao Yang, Jiaming Xu, Yicheng Lu, Shuai Zhang, Tao Wang, Jun Yang, Longxing Shi, Mingoo Seok:
14.1 A 510nW 0.41V Low-Memory Low-Computation Keyword-Spotting Chip Using Serial FFT-Based MFCC and Binarized Depthwise Separable Convolutional Neural Network in 28nm CMOS. ISSCC 2020: 230-232
2010 – 2019
- 2019
- [c1]Yicheng Lu, Weiwei Shan, Jiaming Xu:
A Depthwise Separable Convolution Neural Network for Small-footprint Keyword Spotting Using Approximate MAC Unit and Streaming Convolution Reuse. APCCAS 2019: 309-312
1990 – 1999
- 1995
- [j1]John R. Wullert, Ann Von Lehman, Yicheng Lu:
Analysis of storage requirements for video-on-demand servers. IEEE Trans. Circuits Syst. Video Technol. 5(4): 359-363 (1995)
Coauthor Index
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