Publication
*: Equal Contribution
Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering (Best Paper Award)
IEEE/ACM International Symposium on Microarchitecture (MICRO), 2024
Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye, Cheng Wan, Yingyan (Celine) Lin
[PDF]
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
International Conference on Computer-Aided Design (ICCAD), 2023
Yonggan Fu*, Yongan Zhang*, Zhongzhi Yu*, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Lin
[arxiv]
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design
Instant-3D: Instant Neural Radiance Fields Training Towards Real-Time AR/VR 3D Reconstruction
Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing
ACM/IEEE Design Automation Conference (DAC), 2023
Yang Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Lin
[arxiv]
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering
NVP: An Efficient Processor Architecture for Accelerating Flexible Computer Vision Tasks including DNN
IEEE Transactions on Circuits and Systems II: Express Briefs
Ye Liu, Fei Wu, Neng Zhao, Qirong Zhang, Wenqiang Wang, Yutong Yang, Xiangting Li, Sixu Li, Zili Huang, Shuang Hao, Guangbin Ou, Liang Zhou, Liang Chang, Shuisheng Lin, Ningyi Xu, Jun Zhou
[IEEE]
An Energy-Efficient Seizure Detection Processor using Event-Driven Multi-Stage CNN Classification and Segmented Data Processing with Adaptive Channel Selection Technique
ACM/IEEE Design Automation Conference (DAC), 2022
Jiahao Liu, Zirui Zhong, Yong Zhou, Hui Qiu, Jianbiao Xiao, Jiajing Fan, Zhaomin Zhang, Sixu Li, Yiming Xu, Siqi Yang, Weiwei Shan, Shuisheng Lin, Liang Chang, Jun Zhou
[ACM]
An Energy-Efficient Cardiac Arrhythmia Classification Processor using Heartbeat Difference based Classification and Event-Driven Neural Network Computation with Adaptive Wake-Up Technique
IEEE Custom Integrated Circuits Conference (CICC), 2022
Jiahao Liu, Jianbiao Xiao, Jiajing Fan, Qingsong Liu, Zhen Zhu, Sixu Li, Zhaomin Zhang, Siqi Yang, Weiwei Shan, Suisheng Lin, Liang Chang, Liang Zhou and Jjun Zhou
[IEEE]
An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor with SNN Inference assisted by On-chip ANN Learning
IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2022
Ruixin Mao, Sixu Li, Zhaomin Zhang, Zihan Xia, Jianbiao Xiao, Zixuan Zhu, Jiahao Liu, Weiwei Shan, Liang Chang, Jun Zhou
[IEEE]
A Fast and Energy-Efficient SNN Processor With Adaptive Clock/Event-Driven Computation Scheme and Online Learning
IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), 2021
Sixu Li, Zhaomin Zhang, Ruixin Mao, Jianbiao Xiao, Liang Chang, Jun Zhou
[IEEE]