Wei Li

Orcid: 0000-0002-3135-0447

Affiliations:
  • Jiangnan University, School of Artificial Intelligence and Computer Science, Science Center for Future Foods, Wuxi, China
  • Wuhan University, School of Cyber Science and Engineering, Wuhan, China (PhD 2019)


According to our database1, Wei Li authored at least 45 papers between 2017 and 2025.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
ASM-GAN: Arbitrary Object Shape Styles Manipulation in Synthesized Images for GANs.
IEEE Trans. Instrum. Meas., 2025

2024
Representative Kernels-Based CNN for Faster Transmission in Federated Learning.
IEEE Trans. Mob. Comput., December, 2024

DLS-GAN: Generative Adversarial Nets for Defect Location Sensitive Data Augmentation.
IEEE Trans Autom. Sci. Eng., October, 2024

YOWOv3: A Lightweight Spatio-Temporal Joint Network for Video Action Detection.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

Reducing Mode Collapse With Monge-Kantorovich Optimal Transport for Generative Adversarial Networks.
IEEE Trans. Cybern., August, 2024

MS-GDA: Improving Heterogeneous Recipe Representation via Multinomial Sampling Graph Data Augmentation.
ACM Trans. Multim. Comput. Commun. Appl., July, 2024

MCGMark: An Encodable and Robust Online Watermark for LLM-Generated Malicious Code.
CoRR, 2024

An Error-Matching Exclusion Method for Accelerating Visual SLAM.
CoRR, 2024

A Feature Matching Method Based on Multi-Level Refinement Strategy.
CoRR, 2024

A Robust Error-Resistant View Selection Method for 3D Reconstruction.
CoRR, 2024

A Highlight Removal Method for Capsule Endoscopy Images.
CoRR, 2024

Wireless Capsule Endoscope Low-light Image Enhancement with Balanced Brightness and Saturation.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

ADNet: A Neural Network for Accelerometer Signals Denoising.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Adaptive feature extraction method for capsule endoscopy images.
Vis. Comput. Ind. Biomed. Art, December, 2023

IFL-GAN: Improved Federated Learning Generative Adversarial Network With Maximum Mean Discrepancy Model Aggregation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation.
IEEE Trans. Ind. Informatics, March, 2023

Image defocus deblurring method based on gradient difference of boundary neighborhood.
Virtual Real. Intell. Hardw., 2023

Structural Reparameterization Lightweight Network for Video Action Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

An Adaptive Enhancement Method for Gastrointestinal Low-Light Images of Capsule Endoscope.
Proceedings of the IEEE International Conference on Acoustics, 2023

Mitigating Imminent Collision for Multi-robot Navigation: A TTC-force Reward Shaping Approach.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric.
IEEE Trans. Cybern., 2022

MC-LCR: Multimodal contrastive classification by locally correlated representations for effective face forgery detection.
Knowl. Based Syst., 2022

A compositional model for effort-aware Just-In-Time defect prediction on android apps.
IET Softw., 2022

STPD: Defending against ℓ0-norm attacks with space transformation.
Future Gener. Comput. Syst., 2022

2021
Tackling mode collapse in multi-generator GANs with orthogonal vectors.
Pattern Recognit., 2021

Multi-generator GAN learning disconnected manifolds with mutual information.
Knowl. Based Syst., 2021

CANE: community-aware network embedding via adversarial training.
Knowl. Inf. Syst., 2021

A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models.
Inf. Softw. Technol., 2021

JDGAN: Enhancing generator on extremely limited data via joint distribution.
Neurocomputing, 2021

Deepfake-Image Anti-Forensics with Adversarial Examples Attacks.
Future Internet, 2021

MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection.
CoRR, 2021

NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis.
Artif. Intell. Medicine, 2021

Using Grayscale Frequency Statistic to Detect Manipulated Faces in Wavelet-Domain.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Salience-CAM: Visual Explanations from Convolutional Neural Networks via Salience Score.
Proceedings of the International Joint Conference on Neural Networks, 2021

DEN-DQL: Quick Convergent Deep Q-Learning with Double Exploration Networks for News Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021

TSA-GAN: A Robust Generative Adversarial Networks for Time Series Augmentation.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Edge4TSC: Binary Distribution Tree-Enabled Time Series Classification in Edge Environment.
Sensors, 2020

Sketch-then-Edit Generative Adversarial Network.
Knowl. Based Syst., 2020

Using deep learning to preserve data confidentiality.
Appl. Intell., 2020

Inspect Characteristics of Rice via Machine Learning Method.
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Catalysis Clustering with GAN by Incorporating Domain Knowledge.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
His-GAN: A histogram-based GAN model to improve data generation quality.
Neural Networks, 2019

On Improving the accuracy with Auto-Encoder on Conjunctivitis.
Appl. Soft Comput., 2019

An Approach to Time Series Classification Using Binary Distribution Tree.
Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

2017
Smoking Cessation Recruitment Analysis: A Case Study.
Proceedings of the IEEE International Conference on Big Knowledge, 2017


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