Multi-stage Gradient Compression: Overcoming the Communication Bottleneck in Distributed Deep Learning. - Qu Lu; Wantao Liu; Jizhong Han; Jinrong Guo (ICONIP (1), 2018)

A GPU memory efficient speed-up scheme for training ultra-deep neural networks: poster. - Jinrong Guo; Wantao Liu; Wang Wang; Qu Lu; Songlin Hu 001; Jizhong Han; Ruixuan Li 001 (PPoPP, 2019)

AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks. - Jinrong Guo; Wantao Liu; Wang Wang; Qu Lu; Songlin Hu 001; Jizhong Han; Ruixuan Li 001 (CoRR, 2019)

Improving Few-Shot Learning for Talking Face System with TTS Data Augmentation. - Qi Chen 009; Ziyang Ma 001; Tao Liu 068; Xu Tan 003; Qu Lu; Kai Yu 004; Xie Chen 001 (ICASSP, 2023)

EPCQ: Efficient Privacy-Preserving Contact Query Processing over Trajectory Data in Cloud. - Qu Lu; Hua Dai 003; Bohan Li 001; Pengyue Li; Qian Zhou; Qiang Zhou; Geng Yang (APWeb/WAIM (4), 2024)

KCPMA: k-degree Contact Pattern Mining Algorithms for Moving Objects. - You Chen; Hua Dai 003; Mingfeng Jiang; Qu Lu; Pengyue Li; Bohan Li 001; Geng Yang (CSCWD, 2024)

Privacy-Preserving Contact Query Processing Over Trajectory Data in Mobile Cloud Computing. - Qu Lu; Hua Dai 003; Pengyue Li; Shuyan Wan; Geng Yang; Yang Xiang 001; Fu Xiao 001 (IEEE Trans. Mob. Comput., 2025)