Weijie Jiang

Orcid: 0000-0002-1617-8319

According to our database1, Weijie Jiang authored at least 22 papers between 2016 and 2023.

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Bibliography

2023
Landslide Identification Method Based on the FKGRNet Model for Remote Sensing Images.
Remote. Sens., July, 2023

A novel decoder based on Bayesian rules for task-driven object segmentation.
IET Image Process., February, 2023

Out-of-distribution detection based on multi-classifiers.
Cogn. Comput. Syst., 2023

Research on Road Condition Recognition Based on Improved YOLOv5 Algorithm.
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/mm<sup>2</sup>, 256kB/mm<sup>2</sup> and 23. 8TOPs/W.
Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

A Supervised Contrast Focus Neural Network for LED packaging defects classification.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Semantic enhanced for out-of-distribution detection.
Frontiers Neurorobotics, September, 2022

2021
Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach.
CoRR, 2021

Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Item Response Ranking for Cognitive Diagnosis.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

DGrid: Dense Grid Network for Salient Object Detection.
Proceedings of the Cognitive Systems and Information Processing, 2021

Towards Equity and Algorithmic Fairness in Student Grade Prediction.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Projected Minimal Gated Recurrent Unit for Speech Recognition.
IEEE Access, 2020

Evaluating sources of course information and models of representation on a variety of institutional prediction tasks.
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.
User Model. User Adapt. Interact., 2019

Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System.
CoRR, 2019

Designing for Serendipity in a University Course Recommendation System.
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.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Goal-based Course Recommendation.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

2018
Connectionist Recommendation in the Wild.
CoRR, 2018

2017
A Dynamic Bayesian Network Based Collaborative Filtering Model for Multi-stage Recommendation.
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.
Proceedings of the COLING 2016, 2016


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