World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6837
World Ranking
8449
National Ranking
1100

Overview

Cheng Wu is affiliated with Tsinghua University in China, where their research primarily spans the fields of Engineering and Computer Science. Their work encompasses subfields such as Artificial Intelligence, Mechanical Engineering, Control and Systems Engineering, Surgery, and Computer Vision and Pattern Recognition.

The scientist's research covers a variety of topics, including:

  • Reinforcement Learning in Robotics
  • Explainable Artificial Intelligence (XAI)
  • Advanced Graph Neural Networks
  • Domain Adaptation and Few-Shot Learning
  • Recommender Systems and Techniques
  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems

Cheng Wu has contributed to several publication venues, with a notable presence in:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal
  • Neurocomputing
  • Digital Signal Processing

Frequent collaborators include Gao Huang, Shiji Song, Yulin Wang, Chongdang Liu, and Linxuan Zhang.

Selected recent publications by Cheng Wu include:

  • "Regularizing Deep Networks with Semantic Data Augmentation," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism," 2020, Neurocomputing
  • "Itaconic acid-based hyperbranched polymer toughened epoxy resins with rapid stress relaxation, superb solvent resistance and closed-loop recyclability," 2022, Green Chemistry
  • "Closed-Loop Recycling of Tough and Flame-Retardant Epoxy Resins," 2023, Macromolecules
  • "Self-Supervised Discovering of Interpretable Features for Reinforcement Learning," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Semi-Supervised and Unsupervised Extreme Learning Machines

    Gao Huang;Shiji Song;Jatinder N. D. Gupta;Cheng Wu

  • Carbon-efficient scheduling of flow shops by multi-objective optimization

    Jian-Ya Ding;Shiji Song;Cheng Wu

  • Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

    Shuang Li;Shiji Song;Gao Huang;Zhengming Ding

  • Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches

    Jian-Ya Ding;Shiji Song;Rui Zhang;Raymond Chiong

  • A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset.

    Tianyu Liu;Wenhui Fan;Cheng Wu

  • Reduction method for concept lattices based on rough set theory and its application

    Min Liu;Mingwen Shao;Wenxiu Zhang;Cheng Wu

  • Regularizing Deep Networks with Semantic Data Augmentation.

    Yulin Wang;Gao Huang;Shiji Song;Xuran Pan

  • Depth Control of Model-Free AUVs via Reinforcement Learning

    Hui Wu;Shiji Song;Keyou You;Cheng Wu

  • An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem

    Jian-Ya Ding;Shiji Song;Jatinder N.D. Gupta;Rui Zhang

  • A hybrid artificial bee colony algorithm for the job shop scheduling problem

    Rui Zhang;Shiji Song;Cheng Wu

  • A hybrid immune simulated annealing algorithm for the job shop scheduling problem

    Rui Zhang;Cheng Wu

  • Efficient composite heuristics for total flowtime minimization in permutation flow shops

    Xiaoping Li;Qian Wang;Cheng Wu

  • Distributed Convex Optimization with Inequality Constraints over Time-Varying Unbalanced Digraphs

    Pei Xie;Keyou You;Roberto Tempo;Shiji Song

  • Domain Space Transfer Extreme Learning Machine for Domain Adaptation

    Yiming Chen;Shiji Song;Shuang Li;Le Yang

  • A simulated annealing algorithm based on block properties for the job shop scheduling problem with total weighted tardinessobjective

    Rui Zhang;Cheng Wu

  • Impact of loss aversion on the newsvendor game with product substitution

    Wei Liu;Shiji Song;Cheng Wu

  • A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms

    Yiming Chen;Shiji Song;Shuang Li;Cheng Wu

  • Multi Pseudo Q-Learning-Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles

    Wenjie Shi;Shiji Song;Cheng Wu;C. L. Philip Chen

  • Supply chain coordination of loss-averse newsvendor with contract

    Long Zhang;Shiji Song;Cheng Wu

  • Implicit Semantic Data Augmentation for Deep Networks

    Yulin Wang;Xuran Pan;Shiji Song;Hong Zhang

  • Heuristic for no-wait flow shops with makespan minimization

    Xiaoping Li;Qian Wang;Cheng Wu

  • Implicit Semantic Data Augmentation for Deep Networks

    Yulin Wang;Xuran Pan;Shiji Song;Hong Zhang

Frequent Co-Authors

Shiji Song
Shiji Song Tsinghua University
Keyou You
Keyou You Tsinghua University
Rui Zhang
Rui Zhang National University of Singapore
Gao Huang
Gao Huang Tsinghua University
Fan Zhang
Fan Zhang Chinese Academy of Sciences
Ke Xu
Ke Xu Tsinghua University
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville
Pei-Chann Chang
Pei-Chann Chang Yuan Ze University
Degang Chen
Degang Chen North China Electric Power University
Wei Tan
Wei Tan Citadel LLC

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