Zhensheng Li

Orcid: 0000-0002-8495-3655

According to our database1, Zhensheng Li authored at least 12 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A 103.9dB-SFDR 83.8dB-SNDR 3MHz-BW Multi-Bit Quadratic-Exponential Noise-Coupled IDSM with High Tolerance to DAC Non-Linearity.
Proceedings of the IEEE International Solid-State Circuits Conference, 2026

2025
Operations research applications in climate change and green transformation: technological innovation, institutional power, and sustainable supply chain governance.
Ann. Oper. Res., December, 2025

A 160-MHz BW 68-dB SNDR 36.2 mW Continuous-Time Pipelined ΔΣ ADC With DAC Image Prefiltering.
IEEE J. Solid State Circuits, March, 2025

2024
Gated feature aggregate and alignment network for real-time semantic segmentation of street scenes.
Multim. Syst., August, 2024

Attention based lightweight asymmetric network for real-time semantic segmentation.
Eng. Appl. Artif. Intell., 2024

Invited Paper: A Ping-Pong Analog Delta Generator for Delt-Sigma Computing-In-Memory SRAM Macro for Edge AI Processing.
Proceedings of the IEEE International Conference on Integrated Circuits, 2024

2022
Does the Clean Air Action Really Affect Labor Demand in China?
J. Glob. Inf. Manag., 2022

2021
Charitable Donation System Based on Blockchain Technology.
Proceedings of the ICCIR 2021: International Conference on Control and Intelligent Robotics, 2021

2020
Understanding the Chinese information culture and its impact on it perceptions.
Inf. Technol. People, 2020

2018
Combining Convolutional Neural Network and Distance Distribution Matrix for Identification of Congestive Heart Failure.
IEEE Access, 2018

SequentialSegNet: Combination with Sequential Feature for Multi-Organ Segmentation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Adaptive Learning of Local Semantic and Global Structure Representations for Text Classification.
Proceedings of the 27th International Conference on Computational Linguistics, 2018


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