Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation. - Qi Lyu; Zhiyong Wu 001; Jun Zhu 001; Helen Meng (IJCAI, 2015)

Polyphonic Music Modelling with LSTM-RTRBM. - Qi Lyu; Zhiyong Wu 001; Jun Zhu 001 (ACM Multimedia, 2015)

PaJDBC: A Transparent Privacy-Aware Database Accessing Middleware for Java. - Baohua Huang; Qi Lyu; Xiaolu Cheng; Wei Cheng 001 (PAC, 2017)

WristAuthen: A Dynamic Time Wrapping Approach for User Authentication by Hand-Interaction through Wrist-Worn Devices. - Qi Lyu; Zhifeng Kong; Chao Shen; Tianwei Yue (CoRR, 2017)

Neural Network-Assisted Nonlinear Multiview Component Analysis: Identifiability and Algorithm. - Qi Lyu; Xiao Fu 001 (CoRR, 2019)

Nonlinear Dependent Component Analysis: Identifiability and Algorithm. - Qi Lyu; Xiao Fu 001 (EUSIPCO, 2020)

Nonlinear Multiview Analysis: Identifiability and Neural Network-based Implementation. - Qi Lyu; Xiao Fu 001 (SAM, 2020)

Nonlinear Multiview Analysis: Identifiability and Neural Network-Assisted Implementation. - Qi Lyu; Xiao Fu 001 (IEEE Trans. Signal Process., 2020)

Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective. - Qi Lyu; Xiao Fu 001; Weiran Wang; Songtao Lu (CoRR, 2021)

Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems. - Sulaiman A. Alghunaim; Qi Lyu; Ming Yan 006; Ali H. Sayed (IEEE Trans. Signal Process., 2021)

Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder. - Qi Lyu; Xiao Fu 001 (IEEE Trans. Signal Process., 2021)

Optimizing Parallel Proof of Vote Consensus Based on Mimic Security in Consortium Blockchains. - Zhenwei Xiao; Hui Li 022; Han Wang 022; Guoliang Yang; Qiongwei Ye; Shusheng Zou; Ping Lu 008; Qi Lyu (IEEE Big Data, 2022)

Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. - Qi Lyu; Xiao Fu 001; Weiran Wang; Songtao Lu (ICLR, 2022)

On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis. - Qi Lyu; Xiao Fu 001 (ICML, 2022)

Provable Subspace Identification Under Post-Nonlinear Mixtures. - Qi Lyu; Xiao Fu 001 (NeurIPS, 2022)

H-MIS: A Hierarchical Multi-Identifier System Based on Blockchain. - Qi Lyu; Hui Li 022; Xinnan Lin; Han Wang 022; Hanxu Hou; Yuguo Yin; Qianbin Chen; Ping Fan; Gang Wan; Xiang Zhu; Selwyn Deng; Weixiang Huang; et al. (IEEE Big Data, 2023)

Faster, Stronger, and More Interpretable: Massive Transformer Architectures for Vision-Language Tasks. - Tong Chen; Sicong Liu; Zhiran Chen; Wenyan Hu; Dachi Chen; Yuanxin Wang 001; Qi Lyu; Cindy X. Le; Wenping Wang (Adv. Artif. Intell. Mach. Learn., 2023)

Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks. - Yihui He; Jianing Qian; Cindy X. Le; Congrui Hetang; Qi Lyu; Wenping Wang; Tianwei Yue (Adv. Artif. Intell. Mach. Learn., 2023)

Sliding-Bert: Striding Towards Conversational Machine Comprehension in Long Contex. - Longxiang Zhang; Wenping Wang; Keyi Yu; Jingxian Huang; Qi Lyu; Haoru Xue; Congrui Hetang (Adv. Artif. Intell. Mach. Learn., 2023)

Finite-Sample Analysis of Deep CCA-Based Unsupervised Post-Nonlinear Multimodal Learning. - Qi Lyu; Xiao Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Explainable Artificial Intelligence for Business and Economics: Methods, Applications and Challenges. - Qi Lyu; Shaomin Wu (Expert Syst. J. Knowl. Eng., 2025)

CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation. - Baichen Liu; Qi Lyu; Xudong Wang; Jiahua Dong; Lianqing Liu; Zhi Han (CoRR, 2025)