World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
10352
World Ranking
9544
National Ranking
1208

Overview

Zhengdong Lu is affiliated with Huawei Technologies in China and contributes to the fields of engineering and computer science. Their research primarily focuses on electrical and electronic engineering, with additional work in artificial intelligence, control and systems engineering, computer vision and pattern recognition, and biomedical engineering.

The scientist's recent publications highlight their engagement with advanced electrical engineering topics and their applications. Notable recent papers include:

  • RL-ANN-Based Minimum-Current-Stress Scheme for the Dual-Active-Bridge Converter With Triple-Phase-Shift Control, 2021, IEEE Journal of Emerging and Selected Topics in Power Electronics
  • A Virtual Synchronous Generator Control Strategy with Q-Learning to Damp Low Frequency Oscillation, 2020, 2020 Asia Energy and Electrical Engineering Symposium (AEEES)
  • A Low Voltage Stress PFC Rectifier Based on Nonoverlapping Strategy Using Resonant Switched-Capacitor Converter, 2021, IEEE Transactions on Industrial Electronics
  • A Deep Q-Network based optimized modulation scheme for Dual-Active-Bridge converter to reduce the RMS current, 2020, Energy Reports
  • Bolt 3D Point Cloud Segmentation and Measurement Based on DBSCAN Clustering, 2021, 2021 China Automation Congress (CAC)

The venues where Zhengdong Lu frequently publishes include:

  • IEEE Journal of Emerging and Selected Topics in Power Electronics
  • Canadian Journal of Cardiology
  • IEEE Transactions on Industrial Electronics
  • Energy Reports
  • 2020 Asia Energy and Electrical Engineering Symposium (AEEES)

Zhengdong Lu's frequent co-authors are:

  • Zhangyong Chen
  • Yubo Han
  • Yunfeng Wu
  • Changhua Zhang
  • Yuanhong Tang

The main topics addressed in their work are:

  • Advanced DC-DC Converters
  • Multilevel Inverters and Converters
  • Silicon Carbide Semiconductor Technologies
  • Wireless Power Transfer Systems
  • Microgrid Control and Optimization
  • Topic Modeling
  • Analog and Mixed-Signal Circuit Design

The combination of electrical engineering expertise and topics in artificial intelligence reflects a multidisciplinary approach in Zhengdong Lu's research. Their contributions span theoretical development and practical strategies related to power electronics and intelligent control methods. The intersection with computer vision is evidenced by their publication on 3D point cloud segmentation and measurement techniques.

Best Publications

  • Incorporating Copying Mechanism in Sequence-to-Sequence Learning

    Jiatao Gu;Zhengdong Lu;Hang Li;Victor O.K. Li

  • Convolutional Neural Network Architectures for Matching Natural Language Sentences

    Baotian Hu;Zhengdong Lu;Hang Li;Qingcai Chen

  • Neural Responding Machine for Short-Text Conversation

    Lifeng Shang;Zhengdong Lu;Hang Li

  • Modeling Coverage for Neural Machine Translation

    Zhaopeng Tu;Zhengdong Lu;Yang Liu;Xiaohua Liu

  • Multimodal Convolutional Neural Networks for Matching Image and Sentence

    Lin Ma;Zhengdong Lu;Lifeng Shang;Hang Li

  • Clustering with Multiple Graphs

    Wei Tang;Zhengdong Lu;Inderjit S. Dhillon

  • Learning to answer questions from image using convolutional neural network

    Lin Ma;Zhengdong Lu;Hang Li

  • An Information Retrieval Approach to Short Text Conversation

    Zongcheng Ji;Zhengdong Lu;Hang Li

  • A Deep Architecture for Matching Short Texts

    Zhengdong Lu;Hang Li

  • Constrained spectral clustering through affinity propagation

    Zhengdong Lu;M.A. Carreira-Perpinan

  • A Dataset for Research on Short-Text Conversations

    Hao Wang;Zhengdong Lu;Hang Li;Enhong Chen

  • Self-adaptive hierarchical sentence model

    Han Zhao;Zhengdong Lu;Pascal Poupart

  • Neural generative question answering

    Jun Yin;Xin Jiang;Zhengdong Lu;Lifeng Shang

  • Convolutional Neural Network Architectures for Matching Natural Language Sentences

    Baotian Hu;Zhengdong Lu;Hang Li;Qingcai Chen

  • Supervised Link Prediction Using Multiple Sources

    Zhengdong Lu;Berkant Savas;Wei Tang;Inderjit S. Dhillon

  • Semi-supervised Learning with Penalized Probabilistic Clustering

    Zhengdong Lu;Todd K. Leen

  • Neural enquirer: learning to query tables in natural language

    Pengcheng Yin;Zhengdong Lu;Hang Li;Ben Kao

  • Context Gates for Neural Machine Translation

    Zhaopeng Tu;Yang Liu;Zhengdong Lu;Xiaohua Liu

  • Encoding Source Language with Convolutional Neural Network for Machine Translation

    Fandong Meng;Zhengdong Lu;Mingxuan Wang;Hang Li

  • A spatio-temporal approach to collaborative filtering

    Zhengdong Lu;Deepak Agarwal;Inderjit S. Dhillon

Frequent Co-Authors

Hang Li
Hang Li ByteDance
Qun Liu
Qun Liu Huawei Technologies (China)
Zhaopeng Tu
Zhaopeng Tu Tencent (China)
Inderjit S. Dhillon
Inderjit S. Dhillon Google (United States)
Miguel Á. Carreira-Perpiñán
Miguel Á. Carreira-Perpiñán University of California, Merced
Yang Liu
Yang Liu Tsinghua University
Jiatao Gu
Jiatao Gu Apple (United States)
Victor O. K. Li
Victor O. K. Li University of Hong Kong
Yong Yu
Yong Yu Shanghai Jiao Tong University
Jeffrey Kaye
Jeffrey Kaye Oregon Health & Science University

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