Weijieying Ren

According to our database, Weijieying Ren authored at least 19 papers between 2017 and 2026.

Collaborative distances:

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

2026

Explainable and Interactive LLMs-Augmented Depression Detection in Social Media.

Wei Qin, Zetong Chen, Xun Yang, Lei Wang, Yunshi Lan, Weijieying Ren, Richang Hong

IEEE Trans. Comput. Soc. Syst., February, 2026

2025

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models.

Weijieying Ren, Jingxi Zhu, Zehao Liu, Tianxiang Zhao, Vasant G. Honavar

CoRR, July, 2025

Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions.

Weijieying Ren, Tianxiang Zhao, Yuqing Huang, Vasant G. Honavar

CoRR, January, 2025

Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning.

Xinlong Li, Weijieying Ren, Wei Qin, Lei Wang, Tianxiang Zhao, Richang Hong

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DiaLLMs: EHR-Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction.

Weijieying Ren, Tianxiang Zhao, Lei Wang, Tianchun Wang, Vasant G. Honavar

Proceedings of the Findings of the Association for Computational Linguistics, 2025

RATT: A Thought Structure for Coherent and Correct LLM Reasoning.

Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning.

Weijieying Ren, Xinlong Li, Lei Wang, Tianxiang Zhao, Wei Qin

CoRR, 2024

EsaCL: Efficient Continual Learning of Sparse Models.

Weijieying Ren, Vasant G. Honavar

CoRR, 2024

EsaCL: An Efficient Continual Learning Algorithm.

Weijieying Ren, Vasant G. Honavar

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules.

Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Gradient-Aware Logit Adjustment Loss for Long-Tailed Classifier.

Fan Zhang, Wei Qin, Weijieying Ren, Lei Wang, Zetong Chen, Richang Hong

Proceedings of the IEEE International Conference on Acoustics, 2024

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data.

Junjie Liang, Weijieying Ren, Hanifi Sahar, Vasant G. Honavar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph Relation Aware Continual Learning.

Qinghua Shen, Weijieying Ren, Wei Qin

CoRR, 2023

Read, Diagnose and Chat: Towards Explainable and Interactive LLMs-Augmented Depression Detection in Social Media.

Wei Qin, Zetong Chen, Lei Wang, Yunshi Lan, Weijieying Ren, Richang Hong

CoRR, 2023

T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data.

Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Semi-supervised Drifted Stream Learning with Short Lookback.

Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective.

Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases.

Weijieying Ren, Kunpeng Liu, Tianxiang Zhao, Yanjie Fu

Frontiers Big Data, 2021

2017

Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels.

Weijieying Ren, Lei Zhang, Bo Jiang, Zhefeng Wang, Guangming Guo, Guiquan Liu

Proceedings of the Knowledge Science, Engineering and Management, 2017