Forecasting of stock price trend based on CART and similar stock. - Qiwei Yin; Ruixun Zhang; Yiwei Liu; Xiuli Shao (ICSAI, 2017)

A New Combined CNN-RNN Model for Sector Stock Price Analysis. - Ruixun Zhang; Zhaozheng Yuan; Xiuli Shao (COMPSAC (2), 2018)

Multi-scale Feature Decode and Fuse Model with CRF Layer for Boundary Detection. - Zihao Dong; Ruixun Zhang; Xiuli Shao; Huichao Li; Zihan Yang (ICONIP (2), 2018)

Recurrent Collaborative Filtering for Unifying General and Sequential Recommender. - Disheng Dong; Xiaolin Zheng; Ruixun Zhang; Yan Wang 002 (IJCAI, 2018)

Multi-scale Discriminative Location-Aware Network for Few-Shot Semantic Segmentation. - Zihao Dong; Ruixun Zhang; Xiuli Shao; Hongyu Zhou (COMPSAC (2), 2019)

Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge Detection. - Zihao Dong; Ruixun Zhang; Xiuli Shao (ICANN (3), 2019)

A CNN-RNN Hybrid Model with 2D Wavelet Transform Layer for Image Classification. - Zihao Dong; Ruixun Zhang; Xiuli Shao (ICTAI, 2019)

Automatic Annotation and Segmentation of Object Instances With Deep Active Curve Network. - Zihao Dong; Ruixun Zhang; Xiuli Shao (IEEE Access, 2019)

Scale-Recursive Network with point supervision for crowd scene analysis. - Zihao Dong; Ruixun Zhang; Xiuli Shao; Yumeng Li (Neurocomputing, 2020)

Learning sparse features with lightweight ScatterNet for small sample training. - Zihao Dong; Ruixun Zhang; Xiuli Shao; Zengsheng Kuang (Knowl. Based Syst., 2020)

A Plug and Play Fast Intersection Over Union Loss for Boundary Box Regression. - Zengsheng Kuang; Xian Fang; Ruixun Zhang; Xiuli Shao; Hongpeng Wang (ICASSP, 2021)

Detection of Defect Proportion for Workpiece Surface Based on a Fusion Prediction Model. - Sikai Tao; Ruixun Zhang; Yumeng Li (ICTAI, 2021)

M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection. - Xian Fang; Jinchao Zhu; Ruixun Zhang; Xiuli Shao; Hongpeng Wang (CoRR, 2021)

IBNet: Interactive Branch Network for salient object detection. - Xian Fang; Jinchao Zhu; Ruixun Zhang; Xiuli Shao; Hongpeng Wang (Neurocomputing, 2021)

Subspace Clustering with Block Diagonal Sparse Representation. - Xian Fang; Ruixun Zhang; Zhengxin Li; Xiuli Shao (Neural Process. Lett., 2021)

Collaborative learning in bounding box regression for object detection. - Xian Fang; Zengsheng Kuang; Ruixun Zhang; Xiuli Shao; Hongpeng Wang (Pattern Recognit. Lett., 2021)

GSDNet: An Anti-interference Cochlea Segmentation Model Based on GAN. - Zhengxin Li; Sikai Tao; Ruixun Zhang; Hongpeng Wang (COMPSAC, 2022)

Designing an Illumination-Aware Network for Deep Image Relighting. - Zuo-Liang Zhu; Zhen Li 031; Ruixun Zhang; Chunle Guo; Ming-Ming Cheng (IEEE Trans. Image Process., 2022)

Lighting Every Darkness in Two Pairs : A Calibration-Free Pipeline for RAW Denoising. - Xin Jin 005; Jia-Wen Xiao; Linghao Han; Chunle Guo; Ruixun Zhang; Xialei Liu; Chongyi Li (ICCV, 2023)

On Consistency of Signatures Using Lasso. - Xin Guo; Ruixun Zhang; Chaoyi Zhao (CoRR, 2023)

The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation. - Xinni Jiang; Zengsheng Kuang; Chunle Guo; Ruixun Zhang; Lei Cai; Xiao Fan; Chongyi Li (CoRR, 2024)

Debiasing Watermarks for Large Language Models via Maximal Coupling. - Yangxinyu Xie; Xiang Li; Tanwi Mallick; Weijie J. Su; Ruixun Zhang (CoRR, 2024)

Optimal Impact Portfolios with General Dependence and Marginals. - Andrew W. Lo; Lan Wu; Ruixun Zhang; Chaoyi Zhao (Oper. Res., 2024)

Quantifying the Impact of Impact Investing. - Andrew W. Lo; Ruixun Zhang (Manag. Sci., 2024)

Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence. - Zixi Chen; Yumin Xu; Ruixun Zhang (AAAI, 2025)

The Checkerboard Copula and Dependence Concepts. - Liyuan Lin; Ruodu Wang; Ruixun Zhang; Chaoyi Zhao (SIAM J. Financial Math., 2025)

Toward interpretable machine learning: evaluating models of heterogeneous predictions. - Ruixun Zhang (Ann. Oper. Res., 2025)

Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure. - Minshuo Chen; Renyuan Xu; Yumin Xu; Ruixun Zhang (CoRR, 2025)