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Weijie Jiang
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2020 – today
- 2024
- [j8]Qiang Wei, Yao Mu, Xunhua Guo, Weijie Jiang, Guoqing Chen:
Dynamic Bayesian Network-Based Product Recommendation Considering Consumers' Multistage Shopping Journeys: A Marketing Funnel Perspective. Inf. Syst. Res. 35(3): 1382-1402 (2024) - [j7]Jiajun Chen, Hongpeng Yin, Yan Qin, Weijie Jiang:
Long-Tailed Defects Classification Based on Probabilistic Aggregation Network for Light-Emitting Diode Packaging Process. IEEE Trans. Ind. Informatics 20(10): 12136-12146 (2024) - 2023
- [j6]Weijie Jiang, Yuanlong Yu:
Out-of-distribution detection based on multi-classifiers. Cogn. Comput. Syst. 5(2): 95-108 (2023) - [j5]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): 832-848 (2023) - [j4]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): 3407 (2023) - [c14]Jiajun Chen, Hongpeng Yin, Yan Qin, Dandan Zhao, Weijie Jiang:
A Supervised Contrast Focus Neural Network for LED packaging defects classification. SAFEPROCESS 2023: 1-6 - [c13]Weijie Jiang, Pouya Houshmand, Marian Verhelst, Wim Dehaene:
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. ESSCIRC 2023: 409-412 - [c12]Weijie Jiang:
Research on Road Condition Recognition Based on Improved YOLOv5 Algorithm. ICITEE 2023: 613-620 - 2022
- [j3]Weijie Jiang, Yuanlong Yu:
Semantic enhanced for out-of-distribution detection. Frontiers Neurorobotics 16 (2022) - 2021
- [c11]Weijie Jiang, Zachary A. Pardos:
Towards Equity and Algorithmic Fairness in Student Grade Prediction. AIES 2021: 608-617 - [c10]Yuxiang Cai, Xi Wu, Zhiyong Huang, Yuanlong Yu, Weijie Jiang, Weitao Zheng, Renjie Su:
DGrid: Dense Grid Network for Salient Object Detection. ICCSIP 2021: 238-246 - [c9]Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang:
Item Response Ranking for Cognitive Diagnosis. IJCAI 2021: 1750-1756 - [c8]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: 9254-9261 - [i5]Weijie Jiang, Zachary A. Pardos:
Towards Equity and Algorithmic Fairness in Student Grade Prediction. CoRR abs/2105.06604 (2021) - [i4]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 abs/2111.08364 (2021) - 2020
- [j2]Renjian Feng, Weijie Jiang, Ning Yu, Yinfeng Wu, Jiaxuan Yan:
Projected Minimal Gated Recurrent Unit for Speech Recognition. IEEE Access 8: 215192-215201 (2020) - [c7]Weijie Jiang, Zachary A. Pardos:
Evaluating sources of course information and models of representation on a variety of institutional prediction tasks. EDM 2020 - [c6]Zachary A. Pardos, Weijie Jiang:
Designing for serendipity in a university course recommendation system. LAK 2020: 350-359
2010 – 2019
- 2019
- [j1]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): 487-525 (2019) - [c5]Weijie Jiang, Zachary A. Pardos, Qiang Wei:
Goal-based Course Recommendation. LAK 2019: 36-45 - [c4]Zachary A. Pardos, Weijie Jiang:
Designing for Serendipity in a University Course Recommendation System. IntRS@RecSys 2019: 19-27 - [c3]Weijie Jiang, Zachary A. Pardos:
Time slice imputation for personalized goal-based recommendation in higher education. RecSys 2019: 506-510 - [i3]Zachary A. Pardos, Weijie Jiang:
Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System. CoRR abs/1907.01591 (2019) - 2018
- [i2]Zachary A. Pardos, Zihao Fan, Weijie Jiang:
Connectionist Recommendation in the Wild. CoRR abs/1803.09535 (2018) - [i1]Weijie Jiang, Zachary A. Pardos, Qiang Wei:
Goal-based Course Recommendation. CoRR abs/1812.10078 (2018) - 2017
- [c2]Weijie Jiang, Qiang Wei, Guoqing Chen:
A Dynamic Bayesian Network Based Collaborative Filtering Model for Multi-stage Recommendation. EUSFLAT/IWIFSGN (2) 2017: 290-301 - 2016
- [c1]Xingyou Wang, Weijie Jiang, Zhiyong Luo:
Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts. COLING 2016: 2428-2437
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