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2020 – today
- 2024
[j4]Yi Huang
, Gui Fu, Wanchun Ren, Xiaoguang Tu, Ziliang Feng, Bokai Liu, Jianhua Liu, Chao Zhou, Yuang Liu, Xiaoqiang Zhang:
Low-light images enhancement via a dense transformer network. Digit. Signal Process. 148: 104467 (2024)- [j3]Xiaoguang Tu, Yuang Liu, Mengjie Zhao, Bokai Liu, Jianhua Liu, Xia Lei, Luopeng Xu, Xinyu Zhu, Yu Wang, Yi Huang:
Standardized rPPG signal generation based on generative adversarial networks. J. Electronic Imaging 33(1) (2024) - [j2]Yuang Liu, Jun Chen, Yong Liu:
DCCD: Reducing Neural Network Redundancy via Distillation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 10006-10017 (2024) - [c13]Jiafan Zhu, Xiao Zhang, Konstantinos Menychtas, Zhijing Gene Qin, Steven Hand, Dragos Sbirlea, Yuang Liu:
GASS: GPU Automated Sharing at Scale. CLOUD 2024: 439-445 - [c12]Jing Wang, Yuang Liu, Qiang Zhou, Fan Wang:
Language-Guided Few-Shot Semantic Segmentation. ICASSP 2024: 5035-5039 - [c11]Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang:
DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers. ICASSP 2024: 5160-5164 - [c10]Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang:
Dynamic Token-Pass Transformers for Semantic Segmentation. WACV 2024: 1816-1825 - [i14]Yuang Liu, Zhiheng Qiu, Xiaokai Qin:
Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing. CoRR abs/2404.13434 (2024) - 2023
- [c9]Yuang Liu, Wei Zhang, Jun Wang:
Self-Decoupling and Ensemble Distillation for Efficient Segmentation. AAAI 2023: 1772-1780 - [c8]Qiang Zhou, Yuang Liu, Chaohui Yu, Jingliang Li, Zhibin Wang, Fan Wang:
LMSeg: Language-guided Multi-dataset Segmentation. ICLR 2023 - [c7]Lingfeng Shi, Yuang Liu, Jun Wang, Wei Zhang:
Quantize Sequential Recommenders Without Private Data. WWW 2023: 1043-1052 - [i13]Qiang Zhou, Yuang Liu, Chaohui Yu, Jingliang Li, Zhibin Wang, Fan Wang:
LMSeg: Language-guided Multi-dataset Segmentation. CoRR abs/2302.13495 (2023) - [i12]Yuang Liu, Qiang Zhou, Jing Wang, Fan Wang, Jun Wang, Wei Zhang:
Dynamic Token-Pass Transformers for Semantic Segmentation. CoRR abs/2308.01944 (2023) - [i11]Qiang Zhou, Chaohui Yu, Jingliang Li, Yuang Liu, Jing Wang, Zhibin Wang:
ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo. CoRR abs/2308.02191 (2023) - [i10]Jing Wang, Yuang Liu, Qiang Zhou, Fan Wang:
Language-guided Few-shot Semantic Segmentation. CoRR abs/2311.13865 (2023) - [i9]Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang:
DMT: Comprehensive Distillation with Multiple Self-supervised Teachers. CoRR abs/2312.11938 (2023) - 2022
- [c6]Yuang Liu, Wei Zhang, Jun Wang:
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation. AAAI 2022: 1837-1845 - [c5]Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu:
Resolution-Free Point Cloud Sampling Network with Data Distillation. ECCV (2) 2022: 54-70 - [i8]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:
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters. CoRR abs/2205.09470 (2022) - [i7]Jinle Zeng, Min Li, Zhihua Wu, Jiaqi Liu, Yuang Liu, Dianhai Yu, Yanjun Ma:
Boosting Distributed Training Performance of the Unpadded BERT Model. CoRR abs/2208.08124 (2022) - 2021
- [c4]Yuang Liu, Wei Zhang, Jun Wang:
Source-Free Domain Adaptation for Semantic Segmentation. CVPR 2021: 1215-1224 - [c3]Yuang Liu, Wei Zhang, Jun Wang:
Zero-Shot Adversarial Quantization. CVPR 2021: 1512-1521 - [i6]Yuang Liu, Wei Zhang, Jun Wang:
Adaptive Multi-Teacher Multi-level Knowledge Distillation. CoRR abs/2103.04062 (2021) - [i5]Yuang Liu, Wei Zhang, Jun Wang:
Zero-shot Adversarial Quantization. CoRR abs/2103.15263 (2021) - [i4]Yuang Liu, Wei Zhang, Jun Wang:
Source-Free Domain Adaptation for Semantic Segmentation. CoRR abs/2103.16372 (2021) - [i3]Jun Chen, Yuang Liu, Xiangrui Zhao, Yong Liu:
Dynamically Stable Poincaré Embeddings for Neural Manifolds. CoRR abs/2112.11172 (2021) - [i2]Yuang Liu, Wei Zhang, Jun Wang, Jianyong Wang:
Data-Free Knowledge Transfer: A Survey. CoRR abs/2112.15278 (2021) - 2020
- [j1]Yuang Liu, Wei Zhang, Jun Wang:
Adaptive multi-teacher multi-level knowledge distillation. Neurocomputing 415: 106-113 (2020) - [i1]Yuang Liu, Wei Zhang, Jun Wang:
Learning from a Lightweight Teacher for Efficient Knowledge Distillation. CoRR abs/2005.09163 (2020)
2010 – 2019
- 2015
- [c2]Yuang Liu, Xiaofeng Gao, Guihai Chen:
A Universal Distributed Indexing Scheme for Data Centers with Tree-Like Topologies. DEXA (1) 2015: 481-496 - [c1]Yuang Liu, Xiaofeng Gao, Guihai Chen:
Design and optimization for distributed indexing scheme in switch-centric cloud storage system. ISCC 2015: 582-587
Coauthor Index
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