Weijie Jiang

According to our database, Weijie Jiang authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Long-Tailed Defects Classification Based on Probabilistic Aggregation Network for Light-Emitting Diode Packaging Process.

Jiajun Chen, Hongpeng Yin, Yan Qin, Weijie Jiang

IEEE Trans. Ind. Informatics, October, 2024

Dynamic Bayesian Network-Based Product Recommendation Considering Consumers' Multistage Shopping Journeys: A Marketing Funnel Perspective.

Qiang Wei, Yao Mu, Xunhua Guo, Weijie Jiang, Guoqing Chen

Inf. Syst. Res., 2024

2023

Landslide Identification Method Based on the FKGRNet Model for Remote Sensing Images.

Bing Xu, Chunju Zhang, Wencong Liu, Jianwei Huang, Yujiao Su, Yucheng Yang, Weijie Jiang, Wenhao Sun

Remote. Sens., July, 2023

A novel decoder based on Bayesian rules for task-driven object segmentation.

Yuxiang Cai, Yuanlong Yu, Weijie Jiang, Rong Chen, Weitao Zheng, Xi Wu, Renjie Su

IET Image Process., February, 2023

Out-of-distribution detection based on multi-classifiers.

Weijie Jiang, Yuanlong Yu

Cogn. Comput. Syst., 2023

Research on Road Condition Recognition Based on Improved YOLOv5 Algorithm.

Weijie Jiang

Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering, 2023

A 16nm 128kB high-density fully digital In Memory Compute macro with reverse SRAM pre-charge achieving 0.36TOPs/mm², 256kB/mm² and 23. 8TOPs/W.

Weijie Jiang, Pouya Houshmand, Marian Verhelst, Wim Dehaene

Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

A Supervised Contrast Focus Neural Network for LED packaging defects classification.

Jiajun Chen, Hongpeng Yin, Yan Qin, Dandan Zhao, Weijie Jiang

Proceedings of the CAA Symposium on Fault Detection, 2023

2022

Semantic enhanced for out-of-distribution detection.

Weijie Jiang, Yuanlong Yu

Frontiers Neurorobotics, September, 2022

2021

Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach.

Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Faping Ye, Weijie Jiang, Huiqiao Fu, Tao Wang

CoRR, 2021

Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach.

Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Faping Ye, Weijie Jiang, Huiqiao Fu, Tao Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Item Response Ranking for Cognitive Diagnosis.

Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

DGrid: Dense Grid Network for Salient Object Detection.

Yuxiang Cai, Xi Wu, Zhiyong Huang, Yuanlong Yu, Weijie Jiang, Weitao Zheng, Renjie Su

Proceedings of the Cognitive Systems and Information Processing, 2021

Towards Equity and Algorithmic Fairness in Student Grade Prediction.

Weijie Jiang, Zachary A. Pardos

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Projected Minimal Gated Recurrent Unit for Speech Recognition.

Renjian Feng, Weijie Jiang, Ning Yu, Yinfeng Wu, Jiaxuan Yan

IEEE Access, 2020

Evaluating sources of course information and models of representation on a variety of institutional prediction tasks.

Weijie Jiang, Zachary A. Pardos

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019

Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance.

Zachary A. Pardos, Zihao Fan, Weijie Jiang

User Model. User Adapt. Interact., 2019

Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System.

Zachary A. Pardos, Weijie Jiang

CoRR, 2019

Designing for Serendipity in a University Course Recommendation System.

Zachary A. Pardos, Weijie Jiang

Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019

Time slice imputation for personalized goal-based recommendation in higher education.

Weijie Jiang, Zachary A. Pardos

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Goal-based Course Recommendation.

Weijie Jiang, Zachary A. Pardos, Qiang Wei

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

2018

Connectionist Recommendation in the Wild.

Zachary A. Pardos, Zihao Fan, Weijie Jiang

CoRR, 2018

2017

A Dynamic Bayesian Network Based Collaborative Filtering Model for Multi-stage Recommendation.

Weijie Jiang, Qiang Wei, Guoqing Chen

Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

2016

Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts.

Xingyou Wang, Weijie Jiang, Zhiyong Luo

Proceedings of the COLING 2016, 2016