Analysis of storage requirements for video-on-demand servers. - John R. Wullert; Ann Von Lehman; Yicheng Lu (IEEE Trans. Circuits Syst. Video Technol., 1995)

A Depthwise Separable Convolution Neural Network for Small-footprint Keyword Spotting Using Approximate MAC Unit and Streaming Convolution Reuse. - Yicheng Lu; Weiwei Shan; Jiaming Xu (APCCAS, 2019)

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. - Weiwei Shan; Minhao Yang; Jiaming Xu; Yicheng Lu; Shuai Zhang; Tao Wang; Jun Yang 006; Longxing Shi; Mingoo Seok (ISSCC, 2020)

AAD-KWS: a sub-µW keyword spotting chip with a zero-cost, acoustic activity detector from a 170nW MFCC feature extractor in 28nm CMOS. - Lixuan Zhu; Weiwei Shan; Jiaming Xu; Yicheng Lu (ESSCIRC, 2021)

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. - Lixuan Zhu; Weiwei Shan; Jiaming Xu; Yicheng Lu (ESSDERC, 2021)

A 510-nW Wake-Up Keyword-Spotting Chip Using Serial-FFT-Based MFCC and Binarized Depthwise Separable CNN in 28-nm CMOS. - Weiwei Shan; Minhao Yang; Tao Wang; Yicheng Lu; Hao Cai 001; Lixuan Zhu; Jiaming Xu; Chengjun Wu; Longxing Shi; Jun Yang 006 (IEEE J. Solid State Circuits, 2021)

IBE-BCIOT: an IBE based cross-chain communication mechanism of blockchain in IoT. - Sisi Shao; Fei Chen; Xiaoying Xiao; Weiheng Gu; Yicheng Lu; Shu Wang; Wen Tang; Shangdong Liu; Fei Wu 004; Jing He 004; Yimu Ji 001; Kaixiang Zhang; et al. (World Wide Web, 2021)

Verified programs can party: optimizing kernel extensions via post-verification merging. - Hsuan-Chi Kuo; Kai-Hsun Chen; Yicheng Lu; Dan Williams 001; Sibin Mohan; Tianyin Xu (EuroSys, 2022)

A 28nm, 4.69TOPS/W Training, 2.34µJ/lmage Inference, on-chip Training Accelerator with Inference-compatible Back Propagation. - Haitao Ge; Weiwei Shan; Yicheng Lu; Jun Yang 006 (ICTA, 2022)

DIP-MOEA: a double-grid interactive preference based multi-objective evolutionary algorithm for formalizing preferences of decision makers. - Luda Zhao; Bin Wang; Xiaoping Jiang; Yicheng Lu; Yihua Hu (Frontiers Inf. Technol. Electron. Eng., 2022)

SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention. - Xiaolong Xu; Lingjuan Lyu; Yihong Dong; Yicheng Lu; Weiqiang Wang; Hong Jin (CoRR, 2023)

Machine Learning and GPU Accelerated Sparse Linear Solvers for Transistor-Level Circuit Simulation: A Perspective Survey (Invited Paper). - Zhou Jin 001; Wenhao Li; Yinuo Bai; Tengcheng Wang; Yicheng Lu; Weifeng Liu 002 (ASPDAC, 2024)

Efficient Spectral-Aware Power Supply Noise Analysis for Low-Power Design Verification. - Yinuo Bai; Xiaoyu Yang; Yicheng Lu; Dan Niu; Cheng Zhuo; Zhou Jin 001; Weifeng Liu 002 (DATE, 2024)

Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems. - Tingkai Liu; Huili Tao; Yicheng Lu; Zhongbo Zhu; Marquita Ellis; Sara Kokkila Schumacher; Volodymyr V. Kindratenko (Euro-Par (1), 2024)

A 4.69-TOPS/W Training, 2.34-μJ/Image Inference On-Chip Training Accelerator With Inference-Compatible Backpropagation and Design Space Exploration in 28-nm CMOS. - Junyi Qian; Haitao Ge; Yicheng Lu; Weiwei Shan (IEEE J. Solid State Circuits, 2025)

AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure. - Jiaxin Shan; Varun Gupta; Le Xu; Haiyang Shi; Jingyuan Zhang; Ning Wang; Linhui Xu; Rong Kang; Tongping Liu; Yifei Zhang; Yiqing Zhu; Shuowei Jin; et al. (CoRR, 2025)