Welcome!

Hello! I am Xiaoling Zhou, currently pursuing a Ph.D. degree at the KCL Lab, National Engineering Research Center for Software Engineering, Peking University, Beijing, China. I am under the supervision of Professors Shikun Zhang and Wei Ye. My research interests encompass a wide range of topics, including machine learning, natural language processing, and knowledge computing. Moreover, I believe that data is the cornerstone of artificial intelligence and focus on data-centric AI.

Feel free to contact me for communication and collaboration by my email.

🔥 News

2025.04: 🎉🎉 One paper accepted by IJCAI 2025. (Robustness & Spurious Correlations)
2025.02: 🎉🎉 One paper accepted by IEEE Transactions on Knowledge and Data Engineering(TKDE). (In-Context Learning & Causal Inference)
2025.02: 🎉🎉 One paper accepted by CVPR 2025 (Highlight). (High Performance Computing & Data Optimization)
2025.02: 🎉🎉 Awarded 2024 Baidu Scholarship (百度奖学金) (10 Ph.D students worldwide)
2025.01: 🎉🎉 One paper accepted by ICLR 2025. (Hallucination Detection & Mitigation)
2024.12: 🎉🎉 One paper accepted by AAAI 2025. (Long-Tail Learning)
2024.07: 🎉🎉 One paper accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Adversarial Training)
2024.05: 🎉🎉 One paper accepted by ACL 2024 (Long paper). (In-Context Learning)
2024.03: 🎉🎉 One paper accepted by IJCAI 2024 (Oral). (Data Augmentation)
2024.01: 🎉🎉 Selected for the 2023 Chinese Institute of Electronics Master’s Thesis Incentive Program (2023年度中国电子学会硕士学位论文激励计划) (43 M.Sc students nationwide).
2023.09: 🎉🎉 One paper accepted by IEEE Transactions on Knowledge and Data Engineering(TKDE). (Data Weighting & Learning Difficulty)
2023.09: 🎉🎉 Commenced Ph.D. studies at Peking University.
2023.06: 🎉🎉 Received Tianjin University’s Outstanding Master’s Thesis Award.
2023.06: 🎉🎉 One paper accepted by IEEE Transactions on Neural Networks and Learning Systems(TNNLS). (Learning Difficulty)
2023.02: 🎉🎉 One paper accepted by AAAI 2023 (Oral). (Adversarial Training & Imbalance Learning)

📝 Publications

IJCAI 2025 (CCF Rank A) Robustness to Spurious Correlations via Dynamic Knowledge Transfer

Xiaoling Zhou, Wei Ye^†, Zhemg Lee, and Shikun Zhang^†.
TKDE 2025 (CCF Rank A) Valuing Training Data via Causal Inference for In-Context Learning

Xiaoling Zhou, Wei Ye^†, Zhemg Lee, Lei Zou, and Shikun Zhang^†.
CVPR 2025 (CCF Rank A, Highlight) All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising

Xiaoling Zhou*, Zhemg Lee*, Wei Ye^†, Rui Xie, Wenbo Zhang, Guanju Peng, Zongze Li^†, and Shikun Zhang^†.
ICLR 2025 HaDeMiF: Hallucination Detection and Mitigation in Large Language Models

Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, Wei Ye^†, and Shikun Zhang^†.
AAAI 2025 (CCF Rank A) Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning

Xiaoling Zhou, Ou Wu^†, and Nan Yang.
IEEE TPAMI 2024 (CCF Rank A) Adversarial Training with Anti-adversaries

Xiaoling Zhou, Ou Wu^†, and Nan Yang.
IEEE TKDE 2024 (CCF Rank A) Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework

Xiaoling Zhou, Ou Wu^†, and Mengyang Li.
ACL 2024 (CCF Rank A, Long paper) Enhancing In-Context Learning via Implicit Demonstration Augmentation

Xiaoling Zhou, Wei Ye^†, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, and Shikun Zhang^†.
IJCAI 2024 (CCF Rank A, Oral) Boosting Model Resilience via Implicit Adversarial Data Augmentation

Xiaoling Zhou, Wei Ye^†, Zhemg Lee, Rui Xie, and Shikun Zhang^†.
AAAI 2023 (CCF Rank A, Oral) Combining Adversaries with Anti-adversaries in Training

Xiaoling Zhou, Nan Yang, and Ou Wu^†.
IEEE TNNLS 2023 (CCF Rank B) Which Samples Should Be Learned First: Easy or Hard?

Xiaoling Zhou, and Ou Wu^†.
INS 2025 (CCF Rank B) Mitigating Spurious Correlations with Causal Logit Perturbation

Xiaoling Zhou, Wei Ye^†, Rui Xie, and Shikun Zhang^†.
ECML-PKDD 2022 (CCF Rank B, Oral) Understanding Difficulty-Based Sample Weighting with a Universal Difficulty Measure

Xiaoling Zhou, Ou Wu^†, Weiyao Zhu, and Ziyang Liang.
KBS 2022 (CCF Rank C) Increasing Naturalness of Human–Machine Dialogue: The Users’ Choices Inference of Options in Machine-Raised Questions

Xiaoling Zhou, Ou Wu^†, and Chao Jiang.
ACPR 2021 Drop “Noise” Edge: An Approximation of the Bayesian GNNs

Xiaoling Zhou, and Ou Wu^†.
arXiv preprint Implicit Counterfactual Data Augmentation for Deep Neural Networks

Xiaoling Zhou, Ou Wu^†, and Michael K. Ng.
arXiv preprint Data Valuation by Leveraging Global and Local Statistical Information

Xiaoling Zhou, Ou Wu^†, Michael K. Ng, and Hao Jiang.
JCDL 2020 Inter-subdiscipline Analysis Based on Mathematical Statements

Rui Wang, Xiaoling Zhou, Jian Wu, and Ou Wu^†.

📝 Patents

一种可解释性的深度学习样本赋权方法, 发明专利, P. R. China Patent: CN 115730651 A

吴偶 (导师), 周晓玲, 李蒙阳
“爱骑”软件 V1.0, 软件著作权, S. R. China Software Copyright: 2019SR0533606

周晓玲, 王雪娜, 李政斌, 李竣玺, 翟巧灵, 过昱企

🎖 Awards

2019.06 国家级大学生创新项目结题 [主持] 国家级
2018.06 Mathorcup 全球大学生数学建模挑战赛国家级特等奖
2018.06 天津市大学生物理竞赛省部级特等奖
2019.04 美国大学生数学建模竞赛国家级一等奖
2018.05 全国大学生英语竞赛国家级一等奖
2017.11 全国大学生数学建模竞赛省部级一等奖
2020.12 中国研究生数学建模竞赛国家级二等奖
2018.11 全国大学生数学竞赛省部级二等奖
2018.04 美国大学生数学建模竞赛国家级二等奖
2017.05 全国大学生英语竞赛国家级二等奖
2018.06 “泰迪杯”全国数据挖掘挑战赛国家级三等奖
2018.06 挑战杯天津市大学生课外学术科技作品竞赛省部级三等奖

🎖 Honors

2025.02 入选百度奖学金（2024年度，全球仅10人）
2024.12 博士研究生国家奖学金
2024.10 北京大学三好学生
2024.01 入选 2023年度中国电子学会硕士学位论文激励计划（全国仅43篇）
2023.06 天津大学优秀毕业生
2023.06 天津大学优秀硕士学位论文
2022.12 硕士研究生国家奖学金
2022.12 天津大学优秀学生干部
2022.12 天津大学三好学生
2021.12 中国石油奖学金
2020.12 天津大学研究生学业一等奖学金
2020.05 入选 2020年本专科生国家奖学金获奖学生代表名录
2019.12 本科生国家奖学金
2019.12 天津市大学生创新奖学金

📖 Educations

2023.09 - Now, Ph.D. student at Peking University, National Engineering Research Center for Software Engineering.
- Supervised by Prof. Shikun Zhang (张世坤) and Prof. Wei Ye (叶蔚)
2020.09 - 2023.06, M.S. student at Tianjin University, National Center for Applied Mathematics.
- Supervised by Prof. Ou Wu (吴偶)

💻 Services

Program Committee (PC) Members:

NeurIPS, ICLR, CVPR, ACL, ACM MM, ICCV.
IEEE TIP, IEEE TCSVT, Journal of Supercomputing.