logo

For the Inventor, By the Inventor

Princeton, NJ, United States of America

Shaoliang Zhang

This inventor holds 56 USPTO granted patents and 7 published patent applications and 1 EPO patent, primarily in Optical Communications (CPC class H04B). Top assignees: Nec Corporation, Nec Laboratories America, Inc.. Active years: 2013-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shaoliang Zhang. Retrieved from https://idiyas.com/inventor/shaoliang-zhang

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 56 

% Patents Active = 91.1

 

Average Co-Inventor Count = 3.9

ph-index = 5

Forward Citations = 136(Granted Patents)

Forward Citations (Not Self Cited) = 133(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Anhui Province, CN (2013)
  • Plainsboro, NJ (US) (2014 - 2016)
  • Princeton, NJ (US) (2015 - 2022)

Company Filing History:

goldMedal47 out of 36,684 
 
Nec Corporation
 patents
silverMedal11 out of 718 
 
Nec Laboratories America, Inc.
 patents
where one patent can have more than one assignee

Years Active: 2013-2022

Loading Chart...
Loading Chart...
Areas of Expertise:
Neural Networks
Optical Amplifiers
Coded Modulation
Transmission Systems
Optical Sensors
Physical Layer Security
Multicore Fiber
Machine Learning
Wavelength Division Multiplexing
Digital Coherent Detection
Optical Encryption
Data Transport
56 patents (USPTO):Explore Patents
1. 11461635 - Neural network transfer learning for quality of transmission prediction (2022-10-04),
2. 11270200 - Single-step nonlinearity compensation using artificial intelligence for digital coherent transmission systems (2022-03-08),
3. 11133865 - Optical network performance evaluation using a hybrid neural network (2021-09-28),
4. 11043786 - Multicore fiber amplifier with high power efficiency (2021-06-22),
5. 10887009 - G-OSNR estimation on dynamic PS-QAM channels using hybrid neural networks (2021-01-05),
6. 10833770 - Optical fiber nonlinearity compensation using neural networks (2020-11-10),
7. 10741992 - Extending system reach of unrepeated systems using cascaded amplifiers (2020-08-11),
8. 10708094 - Transmission filtering using machine learning (2020-07-07),
9. 10581216 - 3D waveguide for efficient coupling of multimode pump and signals to a multicore fiber amplifier (2020-03-03),
10. 10574448 - Multidimensional coded modulation for wireless communications with physical layer security (2020-02-25),
11. 10574447 - Antenna array based OAM wireless communication (2020-02-25),
12. 10498449 - Secured hybrid coded modulation for 5G—and beyond—access networks (2019-12-03),
13. 10476728 - Probabilistic shaping for arbitrary modulation formats (2019-11-12),
14. 10466172 - Distributed acoustic sensing in a multimode optical fiber using distributed mode coupling and delay (2019-11-05),
15. 10401564 - Fiber nonlinearity mitigation using strong mode coupling and large modal delay (2019-09-03),

Title: The Innovative Mind of Shaoliang Zhang: A Patent Portfolio Overview

Introduction: Shaoliang Zhang is a prominent inventor based in Princeton, NJ, known for his significant contributions to technology through his 56 patents. His work predominantly revolves around advancements in transmission systems and artificial intelligence, making him a key player in the innovation landscape.

Latest Patents: Among his latest patented inventions are two notable advancements. The first, titled "Neural network transfer learning for quality of transmission prediction," offers systems and methods for predicting the performance of modulation systems. This invention involves training a neural network model using performance information from a source system, which is modified to incorporate transferable knowledge about the target system being evaluated. This allows for a precise prediction of the target system's performance based on a source-based model.

The second recent patent, "Single-step nonlinearity compensation using artificial intelligence for digital coherent transmission systems," outlines a method that delivers low-complexity, single-step nonlinearity compensation. This innovative approach utilizes artificial intelligence implemented in a deep neuron network, streamlining the process for digital coherent transmission systems.

Career Highlights: Shaoliang Zhang has had a remarkable career, contributing his expertise to esteemed organizations such as NEC Corporation and NEC Laboratories America, Inc. His role in these companies has allowed him to pioneer technologies that enhance system performance and efficiency.

Collaborations: Throughout his distinguished career, Zhang has collaborated with several notable professionals, including Fatih Yaman and Ting Wang. These partnerships have fostered an environment of innovation and led to significant advancements in their respective fields.

Conclusion: Shaoliang Zhang exemplifies the spirit of innovation with his extensive patent portfolio and groundbreaking inventions. His work continues to impact the technology landscape, showcasing the importance of integrating artificial intelligence with transmission systems. As he advances further in his career, the world can expect more transformative inventions from this prolific inventor.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…