Chengcheng Ma

According to our database1, Chengcheng Ma authored at least 15 papers between 2016 and 2022.

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



In proceedings 
PhD thesis 




Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models.
CoRR, 2022

Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection.
CoRR, 2022

A Multimodal Method for Chinese Spelling Correction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Pontryagin's maximum principle for optimal control of an extrusion process.
Int. J. Syst. Sci., 2021

Towards Effective Adversarial Attack Against 3D Point Cloud Classification.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Fault tolerant control using integral sliding modes with control allocation along the null-space.
Trans. Inst. Meas. Control, 2020

Compensator-based approximate optimal control for affine nonlinear systems with input constraints and unmatched disturbances.
Trans. Inst. Meas. Control, 2020

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients.
CoRR, 2020

Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Optimal control of longitudinal deformations of a thermoelastic rod with unilateral contact condition of the Signorini type.
IMA J. Math. Control. Inf., 2019

3D Point Cloud Analysis and Classification in Large-Scale Scene Based on Deep Learning.
IEEE Access, 2019

FiPR: A Fine-grained Human Posture Recognition.
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

Accurate blind deblurring using salientpatch-based prior for large-size images.
Multim. Tools Appl., 2018

Synthesizing cloth wrinkles by CNN-based geometry image superresolution.
Comput. Animat. Virtual Worlds, 2018

Scene classification of high resolution remote sensing images using convolutional neural networks.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016