Zenghao Chai

Orcid: 0000-0003-3709-4947

According to our database1, Zenghao Chai authored at least 20 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

2025
MimiCAT: Mimic with Correspondence-Aware Cascade-Transformer for Category-Free 3D Pose Transfer.
CoRR, November, 2025

Boosting Long-Tailed Recognition With Label Descriptor and Beyond.
IEEE Trans. Multim., 2025

2024
Towards Effective Collaborative Learning in Long-Tailed Recognition.
IEEE Trans. Multim., 2024

STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting.
CoRR, 2024

2023
HHF: Hashing-Guided Hinge Function for Deep Hashing Retrieval.
IEEE Trans. Multim., 2023

Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization.
CoRR, 2023

ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models.
CoRR, 2023

SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Imbalanced Data with Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
HyP<sup>2</sup> Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Modernn: Towards Fine-Grained Motion Details for Spatiotemporal Predictive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

REALY: Rethinking the Evaluation of 3D Face Reconstruction.
Proceedings of the Computer Vision - ECCV 2022, 2022

Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
CMS-LSTM: Context-Embedding and Multi-Scale Spatiotemporal-Expression LSTM for Video Prediction.
CoRR, 2021

Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Research on learning mechanism designing for equilibrated bipolar spiking neural networks.
Artif. Intell. Rev., 2020

2019
Correlation Analysis-Based Neural Network Self-Organizing Genetic Evolutionary Algorithm.
IEEE Access, 2019


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