Hierarchical Context Embedding for Region-Based Object Detection. - Zhao-Min Chen; Xin Jin; Borui Zhao; Xiu-Shen Wei; Yanwen Guo 001 (ECCV (21), 2020)

Learning-Assisted Clustered Access of 5G/B5G Networks to Unlicensed Spectrum. - Qimei Cui; Wei Ni 001; Shenghong Li 002; Borui Zhao; Ren Ping Liu; Ping Zhang 003 (IEEE Wirel. Commun., 2020)

HCE: Hierarchical Context Embedding for Region-Based Object Detection. - Zhao-Min Chen; Xin Jin; Borui Zhao; Xiaoqin Zhang 002; Yanwen Guo 001 (IEEE Trans. Image Process., 2021)

Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information. - Lingfeng Yang; Xiang Li 041; Renjie Song; Borui Zhao; Juntian Tao; Shihao Zhou; Jiajun Liang; Jian Yang 003 (CVPR, 2022)

Decoupled Knowledge Distillation. - Borui Zhao; Quan Cui; Renjie Song; Yiyu Qiu; Jiajun Liang (CVPR, 2022)

Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective. - Quan Cui; Bingchen Zhao; Zhao-Min Chen; Borui Zhao; Renjie Song; Boyan Zhou; Jiajun Liang; Osamu Yoshie (ECCV (26), 2022)

Efficient One Pass Self-distillation with Zipf's Label Smoothing. - Jiajun Liang; Linze Li 001; Zhaodong Bing; Borui Zhao; Yao Tang; Bo Lin; Haoqiang Fan (ECCV (11), 2022)

Federated Learning-based Heterogeneous Load Prediction and Slicing for 5G Systems and Beyond. - Liyuan Pu; Qimei Cui; Xiangjun Li; Borui Zhao; Wei Ni 001; Ming Ai; Xiaofeng Tao (GLOBECOM, 2022)

RecursiveMix: Mixed Learning with History. - Lingfeng Yang; Xiang Li 041; Borui Zhao; Renjie Song; Jian Yang 003 (NeurIPS, 2022)

Delving deep into spatial pooling for squeeze-and-excitation networks. - Xin Jin; Yanping Xie; Xiu-Shen Wei; Borui Zhao; Zhao-Min Chen; Xiaoyang Tan (Pattern Recognit., 2022)

SST: Spatial and Semantic Transformers for Multi-Label Image Recognition. - Zhao-Min Chen; Quan Cui; Borui Zhao; Ren-Jie Song; Xiaoqin Zhang 002; Osamu Yoshie (IEEE Trans. Image Process., 2022)

A Lightweight Encoder-Decoder Path for Deep Residual Networks. - Xin Jin; Yanping Xie; Xiu-Shen Wei; Borui Zhao; Yongshun Zhang; Xiaoyang Tan; Yang Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Curriculum Temperature for Knowledge Distillation. - Zheng Li 028; Xiang Li 041; Lingfeng Yang; Borui Zhao; Renjie Song; Lei Luo 001; Jun Li 027; Jian Yang 003 (AAAI, 2023)

Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data. - Yuhao Chen; Xin Tan 002; Borui Zhao; Zhaowei Chen; Renjie Song; Jiajun Liang; Xuequan Lu (CVPR, 2023)

DOT: A Distillation-Oriented Trainer. - Borui Zhao; Quan Cui; Renjie Song; Jiajun Liang (ICCV, 2023)

Cumulative Spatial Knowledge Distillation for Vision Transformers. - Borui Zhao; Renjie Song; Jiajun Liang (ICCV, 2023)

Distributed Multi-Agent Interference Coordination in Native AI Enabled Multi-Cell Networks for 6G. - Xueqi Li 004; Qimei Cui; Borui Zhao; Xuefei Zhang; Botao Jiang; Xiaofeng Tao (WPMC, 2023)

QBox: Partial Transfer Learning With Active Querying for Object Detection. - Ying-Peng Tang; Xiu-Shen Wei; Borui Zhao; Sheng-Jun Huang (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Fractional spectral method for weakly singular Volterra integro-differential equations with delays of the third-kind. - Borui Zhao (CoRR, 2024)

A Müntz-collocation spectral method for weakly singular Volterra delay-integro-differential equations. - Borui Zhao (CoRR, 2024)

Efficient Hierarchical Federated Services for Heterogeneous Mobile Edge. - Shengyuan Liang; Qimei Cui; Xueqing Huang; Borui Zhao; Yanzhao Hou; Xiaofeng Tao (IEEE Trans. Serv. Comput., 2025)

Multi-Layer Collaborative Federated Learning architecture for 6G Open RAN. - Borui Zhao; Qimei Cui; Wei Ni 001; Xueqi Li 004; Shengyuan Liang (Wirel. Networks, 2025)

Asymmetric Decision-Making in Online Knowledge Distillation:Unifying Consensus and Divergence. - Zhaowei Chen; Borui Zhao; Yuchen Ge; Yuhao Chen; Renjie Song; Jiajun Liang (CoRR, 2025)