Weijie Jiang

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 25

Top Topics

Collaborative Filtering

Salient Object Detection

Sentiment Analysis

Top Venues

EUSFLAT/IWIFSGN (2)

IET Image Process.

Publications

Yuxiang Cai, Yuanlong Yu, Weijie Jiang, Rong Chen, Weitao Zheng, Xi Wu, Renjie Su
A novel decoder based on Bayesian rules for task-driven object segmentation. IET Image Process. 17 (3) (2023)
Weijie Jiang, Pouya Houshmand, Marian Verhelst, Wim Dehaene
and 23. 8TOPs/W. ESSCIRC (2023)
Weijie Jiang
Research on Road Condition Recognition Based on Improved YOLOv5 Algorithm. ICITEE (2023)
Weijie Jiang, Yuanlong Yu
Out-of-distribution detection based on multi-classifiers. Cogn. Comput. Syst. 5 (2) (2023)
Bing Xu, Chunju Zhang, Wencong Liu, Jianwei Huang, Yujiao Su, Yucheng Yang, Weijie Jiang, Wenhao Sun
Landslide Identification Method Based on the FKGRNet Model for Remote Sensing Images. Remote. Sens. 15 (13) (2023)
Jiajun Chen, Hongpeng Yin, Yan Qin, Dandan Zhao, Weijie Jiang
A Supervised Contrast Focus Neural Network for LED packaging defects classification. SAFEPROCESS (2023)
Weijie Jiang, Yuanlong Yu
Semantic enhanced for out-of-distribution detection. Frontiers Neurorobotics 16 (2022)
Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Faping Ye, Weijie Jiang, Huiqiao Fu, Tao Wang
Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach. IROS (2021)
Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Faping Ye, Weijie Jiang, Huiqiao Fu, Tao Wang
Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach. CoRR (2021)
Weijie Jiang, Zachary A. Pardos
Towards Equity and Algorithmic Fairness in Student Grade Prediction. AIES (2021)
Weijie Jiang, Zachary A. Pardos
Towards Equity and Algorithmic Fairness in Student Grade Prediction. CoRR (2021)
Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang
Item Response Ranking for Cognitive Diagnosis. IJCAI (2021)
Yuxiang Cai, Xi Wu, Zhiyong Huang, Yuanlong Yu, Weijie Jiang, Weitao Zheng, Renjie Su
DGrid: Dense Grid Network for Salient Object Detection. ICCSIP (2021)
Weijie Jiang, Zachary A. Pardos
Evaluating sources of course information and models of representation on a variety of institutional prediction tasks. EDM (2020)
Renjian Feng, Weijie Jiang, Ning Yu, Yinfeng Wu, Jiaxuan Yan
Projected Minimal Gated Recurrent Unit for Speech Recognition. IEEE Access 8 (2020)
Zachary A. Pardos, Weijie Jiang
Designing for serendipity in a university course recommendation system. LAK (2020)
Weijie Jiang, Zachary A. Pardos
Time slice imputation for personalized goal-based recommendation in higher education. RecSys (2019)
Zachary A. Pardos, Zihao Fan, Weijie Jiang
Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance. User Model. User Adapt. Interact. 29 (2) (2019)
Weijie Jiang, Zachary A. Pardos, Qiang Wei
Goal-based Course Recommendation. LAK (2019)
Zachary A. Pardos, Weijie Jiang
Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System. CoRR (2019)
Zachary A. Pardos, Weijie Jiang
Designing for Serendipity in a University Course Recommendation System. IntRS@RecSys (2019)
Zachary A. Pardos, Zihao Fan, Weijie Jiang
Connectionist Recommendation in the Wild. CoRR (2018)
Weijie Jiang, Zachary A. Pardos, Qiang Wei
Goal-based Course Recommendation. CoRR (2018)
Weijie Jiang, Qiang Wei, Guoqing Chen
A Dynamic Bayesian Network Based Collaborative Filtering Model for Multi-stage Recommendation. EUSFLAT/IWIFSGN (2) (2017)
Xingyou Wang, Weijie Jiang, Zhiyong Luo
Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts. COLING (2016)