Hello, welcome to my homepage 😀.

My name is Weijieying Ren, I also generally use the name as `Xiaoying Ren' in my research and daily life for its simplicity. I'm PhD student at PSU in the Artificial Intelligence group, super lucky to be advised by my best advisor Prof.Honavar .

I obtain my bacholar from HeFei University of Technology (HFUT) and master degree from University of Science and Technology (USTC), respectively. After that, I worked as a Machine Learning Engineer in Singapore for approximately two years. From Jan. 2021, I decided to pursue my Ph.D. degree and returned to campus.

My research interests include topics in machine learning and data mining. Most recently, I am interested in the following topics:

1. 🌻 Generalizable Machine Learning in Open Environments:
   • Knowledge adaptation with weak supervision. (KDD-22, Preprint 3)
   • knowledge memorization with out-of-distribution (OOD) data (SDM-24), with heteregeneous relational data. (ICDM-22, CIKM-23, ICASSP-24, Preprint 1, Preprint 2)
   • Continual learning with Large Language Modes (LLMs) (Preprint 4, Preprint 5)
2. 🌾 Application with clinical data, considering its multi-modality, heterogeneous property:
   • Longitudinal data Prediction (AAAI-24)
   • Multi-modality modeling with Clinic notes, image and longitudinal data. (ongoing projects and my current focus)

Research

Preprint:

1. Tabular Data Representation Learning and Generative Modeling: Progress, Challenges and Future Directions. (Survey)
   Weijieying Ren, Yuqing Huang, Tianxiang Zhao, Vasant G Honavar.
   
2. Towards a more generalizable tabular learning.
   Weijieying Ren, Xiaoting Li, Huiyuan Chen, Yuzhong Chen, Vineeth Rakesh Mohan, Zhuoyi Wang, Mahashweta Das, Vasant G Honavar.
   
3. Robust Pseudo Labeling and Anti-forgetting With Evolving Shifted Data. (Journal)
   Weijieying Ren, Vasant G Honavar.
   
4. Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning.
   Weijieying Ren, Xinlong Li, Lei Wang, Tianxiang Zhao, Wei Qin, Vasant Honavar.
   
5. 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.
   

Publications:

1. Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data.
   Junjie Liang, Weijieying Ren, Hanifi Sahar, Vasant G Honavar.
   The 38th Annual AAAI Conference on Artificial Intelligence. (AAAI-2024)
2. EsaCL: An Efficient Continual Learning Algorithm.
   Weijieying Ren, Vasant G Honavar.
   In Proceedings of the SIAM International Conference on Data Mining. (SDM-2024).
3. Gradient-aware logit adjustment loss for long-tailed classifier.
   Fan Zhang, Wei Qin, Weijieying Ren, Lei Wang, Zetong Chen, Richang Hong.
   2024 IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP-2024)
4. T-SaS: Toward shift-aware dynamic adaptation for streaming data.
   Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu.
   In Proceedings of the 32nd ACM International on Conference on Information and Knowledge Management. (CIKM-2023)
5. Semi-supervised Drifted Stream Learning with Short Lookback.
   Weijieying Ren, Pengyang Wang, Xiaolin Liu, Charles E.Huges, Yanjie Fu.
   In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD-2022)
6. Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective.
   Weijieying Ren*, Lei Wang*, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu. (* Equal Contribution)
   In Proceedings of 22nd ICDM IEEE International Conference on Data Mining. (ICDM-2022)
7. Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases.
   Weijieying Ren, Kunpeng Liu, Tianxiang Zhao, Yanjie Fu.
   Frontiers in Big Data 2021.
   
8. Cross-Topic Rumor Detection using Topic-Mixtures.
   Xiaoying Ren, Jing Jiang, Ling Min Serena Khoo, Hai Leong Chieu. The 16th Conference of the European Chapter of the Association for Computational Linguistics. (EACL-2021)
9. Unsupervised Image Super-Resolution with an Indirect Supervised Path
   Zhen Han, Enyan Dai, Xu Jia, Xiaoying Ren, Shuaijun Chen, Chunjing Xu, Jianzhuang Liu, Qi Tian
   The Conference on Computer Vision and Pattern Recognition Workshops. (CVPR 2019 workshop)
10. Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach.
    Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen.
    In Proceedings of 22nd ICDM IEEE International Conference on Data Mining. (ICDM-2018)
11. Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies.
    Linli Xu, Wenjun Ouyang , Xiaoying Ren , Yang Wang, Liang Jiang.
    In Proceedings of the 27th International Joint Conference on Artificial Intelligence. (IJCAI-2018)
12. Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels.
    Weijieying Ren, Lei Zhang, Bo Jiang, Zhefeng Wang, Guangming Guo, Guiquan Liu
    The 10th International Conference on Knowledge Science, Engineering and Management. (KSEM-17)

Patent:

1. Interpretable Neural Network for Tabular data Classification (Submitted 2023)
   Weijieying Ren, Xiaoting Li, Huiyuan Chen, Yuzhong Chen, Vineeth Rakesh Mohan, Zhuoyi Wang, Mahashweta Das
2. System, Method, and Computer Program Product for Analysis and/or Adaptation of Machine Learning Models for Tabular Data (Submitted 2023)
   Weijieying Ren, Xiaoting Li, Huiyuan Chen, Yuzhong Chen, Vineeth Rakesh Mohan, Mahashweta Das