Hi! My name is Jialu Wang. Currently, I am a third-year PhD candidate at UC Santa Cruz, CS Department. I work with Prof. Yang Liu and Prof. Xin Wang. My research interest lies in algorithmic fairness, spanning machine learning, vision and natural language.

Prior to that, I received my Bachelor degree of Computer Science at Shanghai Jiao Tong University.


[1] Zhaowei Zhu, Jialu Wang and Yang Liu Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. In Submission.
[2] Jialu Wang, Yang Liu and Xin Eric Wang. Assessing Multilingual Fairness in Pre-trained Multimodal Representations In Findings of ACL 2022.
[3] Yang Liu and Jialu Wang. Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial In NeurIPS 2021.
[4] Jialu Wang, Yang Liu and Xin Eric Wang. Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search In EMNLP 2021.
[5] Jialu Wang, Yang Liu and Caleb Levy. Fair Classification with Group-Dependent Label Noise In FAccT (2021).
[6] Yatong Chen, Jialu Wang and Yang Liu. Strategic Recourse in Linear Classification Best paper award at ICML 2021 workshop on Algorithmic Recourse.
[7] Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang and Xinbing Wang. “AceKG: A Large-scale Knowledge Graph for Academic Data Mining.” CIKM (2018).
[8] Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang. Academic Reader: An Interactive Question Answering System on Academic Literatures. In AAAI 2019 Demonstration Program.
[9] Chen Wang, Xiangyu Chen, Zelin Ye, Jialu Wang, Ziruo Cai, Shixiang Gu, and Cewu Lu. Trl: Discriminative hints for scalable reverse curriculum learning. IROS 2019.

Things for Fun

I love playing video games. My favorite PC/Mac game is Civilization 6. My favorite switch game is Legend of Zelda: BOTW. I am proud of passing trial of the sword at master mode. Feel free to reach me out if you have any comments / thoughts related to those things.