A Universal Distributed Indexing Scheme for Data Centers with Tree-Like Topologies. - Yuang Liu; Xiaofeng Gao 001; Guihai Chen (DEXA (1), 2015)

Design and optimization for distributed indexing scheme in switch-centric cloud storage system. - Yuang Liu; Xiaofeng Gao 001; Guihai Chen (ISCC, 2015)

Learning from a Lightweight Teacher for Efficient Knowledge Distillation. - Yuang Liu; Wei Zhang 056; Jun Wang 006 (CoRR, 2020)

Adaptive multi-teacher multi-level knowledge distillation. - Yuang Liu; Wei Zhang 056; Jun Wang 006 (Neurocomputing, 2020)

Source-Free Domain Adaptation for Semantic Segmentation. - Yuang Liu; Wei Zhang 056; Jun Wang 006 (CVPR, 2021)

Zero-Shot Adversarial Quantization. - Yuang Liu; Wei Zhang 056; Jun Wang 006 (CVPR, 2021)

Dynamically Stable Poincaré Embeddings for Neural Manifolds. - Jun Chen 023; Yuang Liu; Xiangrui Zhao; Yong Liu 007 (CoRR, 2021)

Data-Free Knowledge Transfer: A Survey. - Yuang Liu; Wei Zhang 056; Jun Wang 006; Jianyong Wang 001 (CoRR, 2021)

Multi-Knowledge Aggregation and Transfer for Semantic Segmentation. - Yuang Liu; Wei Zhang 056; Jun Wang 006 (AAAI, 2022)

Resolution-Free Point Cloud Sampling Network with Data Distillation. - Tianxin Huang; Jiangning Zhang; Jun Chen 023; Yuang Liu; Yong Liu 007 (ECCV (2), 2022)

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters. - Yang Xiang 001; Zhihua Wu; Weibao Gong; Siyu Ding; Xianjie Mo; Yuang Liu; Shuohuan Wang; Peng Liu 024; Yongshuai Hou; Long Li; Bin Wang; Shaohuai Shi; et al. (CoRR, 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)

Self-Decoupling and Ensemble Distillation for Efficient Segmentation. - Yuang Liu; Wei Zhang 056; Jun Wang 006 (AAAI, 2023)

LMSeg: Language-guided Multi-dataset Segmentation. - Qiang Zhou 001; Yuang Liu; Chaohui Yu; Jingliang Li; Zhibin Wang 004; Fan Wang 019 (ICLR, 2023)

Quantize Sequential Recommenders Without Private Data. - Lingfeng Shi; Yuang Liu; Jun Wang 006; Wei Zhang 056 (WWW, 2023)

Dynamic Token-Pass Transformers for Semantic Segmentation. - Yuang Liu; Qiang Zhou 001; Jing Wang 224; Fan Wang 019; Jun Wang 006; Wei Zhang 056 (CoRR, 2023)

ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo. - Qiang Zhou 001; Chaohui Yu; Jingliang Li; Yuang Liu; Jing Wang 224; Zhibin Wang 004 (CoRR, 2023)

GASS: GPU Automated Sharing at Scale. - Jiafan Zhu; Xiao Zhang; Konstantinos Menychtas; Zhijing Gene Qin; Steven Hand 001; Dragos Sbirlea; Yuang Liu (CLOUD, 2024)

DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers. - Yuang Liu; Jing Wang 224; Qiang Zhou 001; Fan Wang 019; Jun Wang 006; Wei Zhang 056 (ICASSP, 2024)

Language-Guided Few-Shot Semantic Segmentation. - Jing Wang 224; Yuang Liu; Qiang Zhou 001; Fan Wang 019 (ICASSP, 2024)

RoboFormer: A Robust Multi-Modal Transformer for 3D Object Detection in Autonomous Driving. - Yuang Liu; Dacheng Liao; Mengshi Qi; Liang Liu 001; Huadong Ma (MMAsia, 2024)

Dynamic Token-Pass Transformers for Semantic Segmentation. - Yuang Liu; Qiang Zhou 001; Jing Wang 224; Zhibin Wang 004; Fan Wang 019; Jun Wang 006; Wei Zhang 056 (WACV, 2024)

Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing. - Yuang Liu; Zhiheng Qiu; Xiaokai Qin (CoRR, 2024)

Low-light images enhancement via a dense transformer network. - Yi Huang 025; Gui Fu; Wanchun Ren; Xiaoguang Tu; Ziliang Feng; Bokai Liu; Jianhua Liu; Chao Zhou; Yuang Liu; Xiaoqiang Zhang (Digit. Signal Process., 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 025 (Adv. Math. Commun., 2024)

DCCD: Reducing Neural Network Redundancy via Distillation. - Yuang Liu; Jun Chen 023; Yong Liu 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Novel Multiple Criteria Group Decision-Making Method Based on Hesitant Fuzzy Clustering Algorithm. - Hongya Bian; Deqing Li; Yuang Liu; Rong Ma; Wenyi Zeng; Zeshui Xu (IEEE Access, 2025)

Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal-spatial frequency features. - Qingsong Ai; Yuang Liu; Quan Liu 001; Li Ma; Kun Chen 003 (Biomed. Signal Process. Control., 2025)

Improving cross-session motor imagery decoding performance with data augmentation and domain adaptation. - Shuai Guo 005; Yi Wang 043; Yuang Liu; Xin Zhang 044; Baoping Tang (Biomed. Signal Process. Control., 2025)

Few-Shot Semantic Segmentation on Remote Sensing Images With Learnable Prototype. - Jing Wang 224; Yuang Liu; Qiang Zhou 001; Zhibin Wang 004; Fan Wang 019 (IEEE Trans. Geosci. Remote. Sens., 2025)

Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention. - Guanzhong Tian; Yiran Sun; Yuang Liu; Xianfang Zeng; Mengmeng Wang 005; Yong Liu 007; Jiangning Zhang; Jun Chen 023 (IEEE Trans. Neural Networks Learn. Syst., 2025)

BMTree: Designing, Learning, and Updating Piecewise Space-Filling Curves for Multi-Dimensional Data Indexing. - Jiangneng Li; Yuang Liu; Zheng Wang 046; Gao Cong; Cheng Long 001; Walid G. Aref; Han Mao Kiah; Bin Cui 001 (CoRR, 2025)