Ni Zeng

According to our database, Ni Zeng authored at least 9 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AlGaN/GaN HEMTs with a magnetron-sputtered AlN buffer layer.

Chunxiao Zhao, Ni Zeng, Bingzhi Zou, Qiao Sun, Jinyi Wang, Kejun Wei, Zeyu Huang, Tiankai Wang, Jingjing Lin, Yian Yin

Microelectron. J., October, 2023

Scattered Train Bolt Point Cloud Segmentation Based on Hierarchical Multi-Scale Feature Learning.

Ni Zeng, Jinlong Li, Yu Zhang, Xiaorong Gao, Lin Luo

Sensors, February, 2023

Design of Distributed Synchronization Header for Short Burst Communication with Low Earth Orbit Satellites.

Zehua Ding, Tian Hao, Ni Zeng, Lingna Hu, Li Li, Lianghui Ding, Feng Yang

Proceedings of the Digital Multimedia Communications, 2023

Co-channel interference cancellation and equalization in aeronautical telemetry using multiple antennas.

Ni Zeng, Zhe Jia, Zehua Ding, Lingna Hu, Lianghui Ding, Feng Yang

Proceedings of the 2023 International Conference on Communication Network and Machine Learning, 2023

2022

Project-based learning course on metabolic network modelling in computational systems biology.

Thomas Sauter, Tamara Bintener, Ali Kishk, Luana Presta, Tessy Prohaska, Daniel Guignard, Ni Zeng, Claudia Cipriani, Sundas Arshad, Thomas Pfau, Patricia Martins Conde, Maria Pires Pacheco

PLoS Comput. Biol., 2022

2020

A deep attention-based ensemble network for real-time face hallucination.

Dongdong Liu, Jincai Chen, Zhenxing Huang, Ni Zeng, Ping Lu, Lin Yang, Haofeng Wang, Jinqiao Kou, Min Wu

J. Real Time Image Process., 2020

Highly Fluent Sign Language Synthesis Based on Variable Motion Frame Interpolation.

Ni Zeng, Yiqiang Chen, Yang Gu, Dongdong Liu, Yunbing Xing

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Lightweight Fully Convolutional Neural Network of High Accuracy Surface Defect Detection.

Yajie Li, Yiqiang Chen, Yang Gu, Jianquan Ouyang, Jiwei Wang, Ni Zeng

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2007

Ants vs. faults: A swarm intelligence approach for diagnosing distributed computing networks.

Mourad Elhadef, Amiya Nayak, Ni Zeng

Proceedings of the 13th International Conference on Parallel and Distributed Systems, 2007