Chong Yu

Orcid: 0000-0002-8724-3130

Affiliations:
  • Fudan University, College of Intelligent Robotics and Advanced Manufacturing, Shanghai, China
  • NVIDIA Corporation, Shanghai, China
  • Intel Corporation, China (2014-2018)


According to our database1, Chong Yu authored at least 28 papers between 2013 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Dynamic Maclaurin-Series-Based Vision-Language-Action Model.
IEEE Robotics Autom. Lett., July, 2026

MADTP++: Bridge the Gap Between Token and Weight Pruning for Accelerating VLTs.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

2025
EGM: Efficiently Learning General Motion Tracking Policy for High Dynamic Humanoid Whole-Body Control.
CoRR, December, 2025

Taylor-Series-Expansion-Based Vision Transformer Models.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Efficient Architecture Search via Bi-Level Data Pruning.
IEEE Trans. Circuits Syst. Video Technol., February, 2025

Boost Embodied AI Models with Robust Compression Boundary.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Spear: Evaluate the Adversarial Robustness of Compressed Neural Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Through the Real World Haze Scenes: Navigating the Synthetic-to-Real Gap in Challenging Image Dehazing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Enhanced Sparsification via Stimulative Training.
Proceedings of the Computer Vision - ECCV 2024, 2024

Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Boosting Residual Networks with Group Knowledge.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SpVOS: Efficient Video Object Segmentation With Triple Sparse Convolution.
IEEE Trans. Image Process., 2023

Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Boost Vision Transformer with GPU-Friendly Sparsity and Quantization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021
Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
Semi-supervised Three-dimensional Reconstruction Framework with GAN.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2016
Steganography of Digital Watermark Based on Artificial Neural Networks in Image Communication and Intellectual Property Protection.
Neural Process. Lett., 2016

2015
Trajectory tracking of wheeled mobile robot by adopting iterative learning control with predictive, current, and past learning items.
Robotica, 2015

2014
Remote sensing image denoising application by generalized morphological component analysis.
Int. J. Appl. Earth Obs. Geoinformation, 2014

2013
Satellite Image Classification Using Morphological Component Analysis of Texture and Cartoon Layers.
IEEE Geosci. Remote. Sens. Lett., 2013

Stepping robotic system based on cellular grid map.
Int. J. Wirel. Mob. Comput., 2013

A hybrid two-dimensional path planning model based on frothing construction algorithm and local fast marching method.
Comput. Electr. Eng., 2013

Home monitoring system based on indoor service robot and wireless sensor network.
Comput. Electr. Eng., 2013


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