Yuang Liu

According to our database, Yuang Liu authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Standardized rPPG signal generation based on generative adversarial networks.

Xiaoguang Tu, Yuang Liu, Mengjie Zhao, Bokai Liu, Jianhua Liu, Xia Lei, Luopeng Xu, Xinyu Zhu, Yu Wang, Yi Huang

J. Electronic Imaging, 2024

Dynamic Token-Pass Transformers for Semantic Segmentation.

Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

DMT: Comprehensive Distillation with Multiple Self-supervised Teachers.

Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang

CoRR, 2023

Language-guided Few-shot Semantic Segmentation.

Jing Wang, Yuang Liu, Qiang Zhou, Fan Wang

CoRR, 2023

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

Qiang Zhou, Chaohui Yu, Jingliang Li, Yuang Liu, Jing Wang, Zhibin Wang

CoRR, 2023

Dynamic Token-Pass Transformers for Semantic Segmentation.

Yuang Liu, Qiang Zhou, Jing Wang, Fan Wang, Jun Wang, Wei Zhang

CoRR, 2023

Quantize Sequential Recommenders Without Private Data.

Lingfeng Shi, Yuang Liu, Jun Wang, Wei Zhang

Proceedings of the ACM Web Conference 2023, 2023

LMSeg: Language-guided Multi-dataset Segmentation.

Qiang Zhou, Yuang Liu, Chaohui Yu, Jingliang Li, Zhibin Wang, Fan Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Decoupling and Ensemble Distillation for Efficient Segmentation.

Yuang Liu, Wei Zhang, Jun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Boosting Distributed Training Performance of the Unpadded BERT Model.

Jinle Zeng, Min Li, Zhihua Wu, Jiaqi Liu, Yuang Liu, Dianhai Yu, Yanjun Ma

CoRR, 2022

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

Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, Dianhai Yu

CoRR, 2022

Resolution-Free Point Cloud Sampling Network with Data Distillation.

Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-Knowledge Aggregation and Transfer for Semantic Segmentation.

Yuang Liu, Wei Zhang, Jun Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Data-Free Knowledge Transfer: A Survey.

Yuang Liu, Wei Zhang, Jun Wang, Jianyong Wang

CoRR, 2021

Dynamically Stable Poincaré Embeddings for Neural Manifolds.

Jun Chen, Yuang Liu, Xiangrui Zhao, Yong Liu

CoRR, 2021

Zero-Shot Adversarial Quantization.

Yuang Liu, Wei Zhang, Jun Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Source-Free Domain Adaptation for Semantic Segmentation.

Yuang Liu, Wei Zhang, Jun Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Adaptive multi-teacher multi-level knowledge distillation.

Yuang Liu, Wei Zhang, Jun Wang

Neurocomputing, 2020

Learning from a Lightweight Teacher for Efficient Knowledge Distillation.

Yuang Liu, Wei Zhang, Jun Wang

CoRR, 2020

2015

Design and optimization for distributed indexing scheme in switch-centric cloud storage system.

Yuang Liu, Xiaofeng Gao, Guihai Chen

Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

A Universal Distributed Indexing Scheme for Data Centers with Tree-Like Topologies.

Yuang Liu, Xiaofeng Gao, Guihai Chen

Proceedings of the Database and Expert Systems Applications, 2015