Extended Gradient Local Ternary Pattern for Vehicle Detection. - Jian Li; Hanyi Du; Yingru Liu; Kai Zhang; Hui Zhou (CSE, 2014)

Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting. - Zulong Diao; Xin Wang 001; Dafang Zhang 001; Yingru Liu; Kun Xie 001; Shaoyao He (AAAI, 2019)

Generalized Boltzmann Machine with Deep Neural Structure. - Yingru Liu; Dongliang Xie; Xin Wang 001 (AISTATS, 2019)

Latent Part-of-Speech Sequences for Neural Machine Translation. - Xuewen Yang; Yingru Liu; Dongliang Xie; Xin Wang 001; Niranjan Balasubramanian (EMNLP/IJCNLP (1), 2019)

Energy-Based Recurrent Model for Stochastic Modeling of Music. - Yingru Liu; Dongliang Xie; Xin Wang 001 (ICME, 2019)

Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. - Yingru Liu; Xuewen Yang; Dongliang Xie; Xin Wang 001; Li Shen 008; Haozhi Huang 001; Niranjan Balasubramanian (AAAI, 2020)

Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. - Xuewen Yang; Heming Zhang 003; Di Jin; Yingru Liu; Chi-Hao Wu 001; Jianchao Tan; Dongliang Xie; Jue Wang 001; Xin Wang 001 (ECCV (13), 2020)

Learning Continuous-Time Dynamics by Stochastic Differential Networks. - Yingru Liu; Yucheng Xing; Xuewen Yang; Xin Wang 001; Di Jin; Jing Shi (CoRR, 2020)

Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences. - Jing Shi 005; Jing Bi 002; Yingru Liu; Chenliang Xu (CoRR, 2020)

Robust Adaptive Control of an Offshore Ocean Thermal Energy Conversion System. - Xiuyu He; Wei He 001; Yingru Liu; Yiheng Wang; Guang Li 002; Yu Wang 062 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling. - Yingru Liu; Yucheng Xing; Xuewen Yang; Xin Wang 001; Jing Shi; Di Jin; Zhaoyue Chen; Jacqueline Wu (ICONIP (5), 2021)

ReFormer: The Relational Transformer for Image Captioning. - Xuewen Yang; Yingru Liu; Xin Wang 001 (ACM Multimedia, 2022)

AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs. - Yucheng Xing; Jacqueline Wu; Yingru Liu; Xuewen Yang; Xin Wang 001 (ICONIP (1), 2023)

Evolved Differential Model for Sporadic Graph Time-Series Prediction. - Yucheng Xing; Jacqueline Wu; Yingru Liu; Xuewen Yang; Xin Wang 001 (Intell. Converged Networks, 2024)

Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement. - Xueyao Zhang; Xiaohui Zhang; Kainan Peng; Zhenyu Tang; Vimal Manohar; Yingru Liu; Jeff Hwang; Dangna Li; Yuhao Wang; Julian Chan; Yuan Huang; Zhizheng Wu 001; et al. (ICLR, 2025)

SemAlignVC: Enhancing zero-shot timbre conversion using semantic alignment. - Shivam Mehta; Yingru Liu; Zhenyu Tang; Kainan Peng; Vimal Manohar; Shun Zhang; Mike Seltzer; Qing He; Mingbo Ma (CoRR, 2025)