Sicheng Li

Orcid: 0000-0002-5856-1172

Affiliations:
  • Alibaba Group, Sunnyvale, CA, USA
  • Hewlett Packard Labs, Palo Alto, CA, USA (former)
  • University of Pittsburgh, Electrical and Computer Engineering Department, PA, USA (PhD 2017)
  • New York University, NY, USA (former)


According to our database1, Sicheng Li authored at least 32 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
A Tightly Coupled AI-ISP Vision Processor.
IEEE Trans. Circuits Syst. Video Technol., May, 2025

Frequency-Biased Synergistic Design for Image Compression and Compensation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
A Modular Branch Predictor Performance Analysis Framework for Fast Design Space Exploration.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space Exploration.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Efficient Super-Resolution System With Block-Wise Hybridization and Quantized Winograd on FPGA.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

ASAP: Accurate Synthesis Analysis and Prediction with Multi-Task Learning.
Proceedings of the 5th ACM/IEEE Workshop on Machine Learning for CAD, 2023

ArchExplorer: Microarchitecture Exploration Via Bottleneck Analysis.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023


AI-assisted ISP hyperparameter auto tuning.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
2022 ICCAD CAD Contest Problem C: Microarchitecture Design Space Exploration.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

2020
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets.
CoRR, 2020

Adversarial Attack: A New Threat to Smart Devices and How to Defend It.
IEEE Consumer Electron. Mag., 2020

ShiftAddNet: A Hardware-Inspired Deep Network.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Orchestrating Medical Image Compression and Remote Segmentation Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Compact Modeling of Thin-Film Transistors for Flexible Hybrid IoT Design.
IEEE Des. Test, 2019

Process Design Kit and Design Automation for Flexible Hybrid Electronics.
Proceedings of the International Symposium on VLSI Design, Automation and Test, 2019

Ultra-thin Skin Electronics for High Quality and Continuous Skin-Sensor-Silicon Interfacing.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view.
Integr., 2018

MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

Running sparse and low-precision neural network: When algorithm meets hardware.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017
An FPGA Design Framework for CNN Sparsification and Acceleration.
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017

Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016
ApesNet: a pixel-wise efficient segmentation network for embedded devices.
IET Cyper-Phys. Syst.: Theory & Appl., 2016

Heterogeneous systems with reconfigurable neuromorphic computing accelerators.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016

ApesNet: A Pixel-wise Efficient Segmentation Network.
Proceedings of the 14th ACM/IEEE Symposium on Embedded Systems for Real-Time Multimedia, 2016

2015
FPGA Acceleration of Recurrent Neural Network Based Language Model.
Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

2013
DA-RAID-5: a disturb aware data protection technique for NAND flash storage systems.
Proceedings of the Design, Automation and Test in Europe, 2013


  Loading...