Yuang Liu

Orcid: 0000-0002-7338-4696

According to our database1, Yuang Liu authored at least 29 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal-spatial frequency features.
Biomed. Signal Process. Control., 2025

Novel Multiple Criteria Group Decision-Making Method Based on Hesitant Fuzzy Clustering Algorithm.
IEEE Access, 2025

2024
DCCD: Reducing Neural Network Redundancy via Distillation.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Standardized rPPG signal generation based on generative adversarial networks.
Adv. Math. Commun., 2024

Low-light images enhancement via a dense transformer network.
Digit. Signal Process., 2024

Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing.
CoRR, 2024

Dynamic Token-Pass Transformers for Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

RoboFormer: A Robust Multi-Modal Transformer for 3D Object Detection in Autonomous Driving.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

Language-Guided Few-Shot Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers.
Proceedings of the IEEE International Conference on Acoustics, 2024

GASS: GPU Automated Sharing at Scale.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo.
CoRR, 2023

Dynamic Token-Pass Transformers for Semantic Segmentation.
CoRR, 2023

Quantize Sequential Recommenders Without Private Data.
Proceedings of the ACM Web Conference 2023, 2023

LMSeg: Language-guided Multi-dataset Segmentation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Decoupling and Ensemble Distillation for Efficient Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Boosting Distributed Training Performance of the Unpadded BERT Model.
CoRR, 2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters.
CoRR, 2022

Resolution-Free Point Cloud Sampling Network with Data Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-Knowledge Aggregation and Transfer for Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Data-Free Knowledge Transfer: A Survey.
CoRR, 2021

Dynamically Stable Poincaré Embeddings for Neural Manifolds.
CoRR, 2021

Zero-Shot Adversarial Quantization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Source-Free Domain Adaptation for Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Adaptive multi-teacher multi-level knowledge distillation.
Neurocomputing, 2020

Learning from a Lightweight Teacher for Efficient Knowledge Distillation.
CoRR, 2020

2015
Design and optimization for distributed indexing scheme in switch-centric cloud storage system.
Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

A Universal Distributed Indexing Scheme for Data Centers with Tree-Like Topologies.
Proceedings of the Database and Expert Systems Applications, 2015


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