Yuang Liu - RankMe

38 papers A* 6A 1B 1C 1Misc 2Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention. IEEE Trans. Neural Networks Learn. Syst. Guanzhong Tian, Yiran Sun, Yuang Liu, Xianfang Zeng, Mengmeng Wang, Yong Liu, Jiangning Zhang, Jun Chen
2025	J	`jnl`	BMTree: Designing, Learning, and Updating Piecewise Space-Filling Curves for Multi-Dimensional Data Indexing. CoRR Jiangneng Li, Yuang Liu, Zheng Wang, Gao Cong, Cheng Long, Walid G. Aref, Han Mao Kiah, Bin Cui
2025	J	`jnl`	Few-Shot Semantic Segmentation on Remote Sensing Images With Learnable Prototype. IEEE Trans. Geosci. Remote. Sens. Jing Wang, Yuang Liu, Qiang Zhou, Zhibin Wang, Fan Wang
2025	J	`jnl`	Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal-spatial frequency features. Biomed. Signal Process. Control. Qingsong Ai, Yuang Liu, Quan Liu, Li Ma, Kun Chen
2025	J	`jnl`	Improving cross-session motor imagery decoding performance with data augmentation and domain adaptation. Biomed. Signal Process. Control. Shuai Guo, Yi Wang, Yuang Liu, Xin Zhang, Baoping Tang
2025	J	`jnl`	Novel Multiple Criteria Group Decision-Making Method Based on Hesitant Fuzzy Clustering Algorithm. IEEE Access Hongya Bian, Deqing Li, Yuang Liu, Rong Ma, Wenyi Zeng, Zeshui Xu
2024	J	`jnl`	DCCD: Reducing Neural Network Redundancy via Distillation. IEEE Trans. Neural Networks Learn. Syst. Yuang Liu, Jun Chen, Yong Liu
2024	Misc	`conf`	DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers. ICASSP Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang
2024	A	`conf`	Dynamic Token-Pass Transformers for Semantic Segmentation. WACV Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang
2024	B	`conf`	GASS: GPU Automated Sharing at Scale. CLOUD Jiafan Zhu, Xiao Zhang, Konstantinos Menychtas, Zhijing Gene Qin, Steven Hand, Dragos Sbirlea, Yuang Liu
2024	Misc	`conf`	Language-Guided Few-Shot Semantic Segmentation. ICASSP Jing Wang, Yuang Liu, Qiang Zhou, Fan Wang
2024	J	`jnl`	Low-light images enhancement via a dense transformer network. Digit. Signal Process. Yi Huang, Gui Fu, Wanchun Ren, Xiaoguang Tu, Ziliang Feng, Bokai Liu, Jianhua Liu, Chao Zhou, Yuang Liu, Xiaoqiang Zhang
2024	J	`jnl`	Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing. CoRR Yuang Liu, Zhiheng Qiu, Xiaokai Qin
2024	—	`conf`	RoboFormer: A Robust Multi-Modal Transformer for 3D Object Detection in Autonomous Driving. MMAsia Yuang Liu, Dacheng Liao, Mengshi Qi, Liang Liu, Huadong Ma
2024	J	`jnl`	Standardized rPPG signal generation based on generative adversarial networks. J. Electronic Imaging Xiaoguang Tu, Yuang Liu, Mengjie Zhao, Bokai Liu, Jianhua Liu, Xia Lei, Luopeng Xu, Xinyu Zhu, Yu Wang, Yi Huang
2023	J	`jnl`	DMT: Comprehensive Distillation with Multiple Self-supervised Teachers. CoRR Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang
2023	J	`jnl`	Dynamic Token-Pass Transformers for Semantic Segmentation. CoRR Yuang Liu, Qiang Zhou, Jing Wang, Fan Wang, Jun Wang, Wei Zhang
2023	J	`jnl`	ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo. CoRR Qiang Zhou, Chaohui Yu, Jingliang Li, Yuang Liu, Jing Wang, Zhibin Wang
2023	A*	`conf`	LMSeg: Language-guided Multi-dataset Segmentation. ICLR Qiang Zhou, Yuang Liu, Chaohui Yu, Jingliang Li, Zhibin Wang, Fan Wang
2023	J	`jnl`	LMSeg: Language-guided Multi-dataset Segmentation. CoRR Qiang Zhou, Yuang Liu, Chaohui Yu, Jingliang Li, Zhibin Wang, Fan Wang
2023	J	`jnl`	Language-guided Few-shot Semantic Segmentation. CoRR Jing Wang, Yuang Liu, Qiang Zhou, Fan Wang
2023	A*	`conf`	Quantize Sequential Recommenders Without Private Data. WWW Lingfeng Shi, Yuang Liu, Jun Wang, Wei Zhang
2023	A*	`conf`	Self-Decoupling and Ensemble Distillation for Efficient Segmentation. AAAI Yuang Liu, Wei Zhang, Jun Wang
2022	J	`jnl`	Boosting Distributed Training Performance of the Unpadded BERT Model. CoRR Jinle Zeng, Min Li, Zhihua Wu, Jiaqi Liu, Yuang Liu, Dianhai Yu, Yanjun Ma
2022	A*	`conf`	Multi-Knowledge Aggregation and Transfer for Semantic Segmentation. AAAI Yuang Liu, Wei Zhang, Jun Wang
2022	J	`jnl`	Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters. CoRR 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
2022	—	`conf`	Resolution-Free Point Cloud Sampling Network with Data Distillation. ECCV (2) Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu
2021	J	`jnl`	Adaptive Multi-Teacher Multi-level Knowledge Distillation. CoRR Yuang Liu, Wei Zhang, Jun Wang
2021	J	`jnl`	Data-Free Knowledge Transfer: A Survey. CoRR Yuang Liu, Wei Zhang, Jun Wang, Jianyong Wang
2021	J	`jnl`	Dynamically Stable Poincaré Embeddings for Neural Manifolds. CoRR Jun Chen, Yuang Liu, Xiangrui Zhao, Yong Liu
2021	A*	`conf`	Source-Free Domain Adaptation for Semantic Segmentation. CVPR Yuang Liu, Wei Zhang, Jun Wang
2021	J	`jnl`	Source-Free Domain Adaptation for Semantic Segmentation. CoRR Yuang Liu, Wei Zhang, Jun Wang
2021	A*	`conf`	Zero-Shot Adversarial Quantization. CVPR Yuang Liu, Wei Zhang, Jun Wang
2021	J	`jnl`	Zero-shot Adversarial Quantization. CoRR Yuang Liu, Wei Zhang, Jun Wang
2020	J	`jnl`	Adaptive multi-teacher multi-level knowledge distillation. Neurocomputing Yuang Liu, Wei Zhang, Jun Wang
2020	J	`jnl`	Learning from a Lightweight Teacher for Efficient Knowledge Distillation. CoRR Yuang Liu, Wei Zhang, Jun Wang
2015	—	`conf`	A Universal Distributed Indexing Scheme for Data Centers with Tree-Like Topologies. DEXA (1) Yuang Liu, Xiaofeng Gao, Guihai Chen
2015	C	`conf`	Design and optimization for distributed indexing scheme in switch-centric cloud storage system. ISCC Yuang Liu, Xiaofeng Gao, Guihai Chen