Lizhen Zhu's Homepage

Lizhen Zhu, Ph.D. candidate College of Information Sciences and Technology The Pennsylvania State University Email: ljz5180@psu.edu Advisor: Drs. James, Wang, and Brad, Wyble

Research Interests

Computer vision; Deep learning; Contrastive learning; Recognition; Affective computing.

Recent Updates

• 06/2024 Two news reports about our contrastive learning approach came out. [link1] [link2]

• 05/2024 My paper ''Incorporating simulated spatial context information improves the effectiveness of contrastive learning models'' was published on Patterns.

• 10/2023 I participated Heidelberg Laureate Forum - Heidelberg, Germany.

Publications

1. Lizhen Zhu, James Z. Wang, and Brad Wyble, ''Curriculum Contrastive Learning with Human-Inspired Visual Adaptation in the Virtual Environment,'' Submitted to AAAI Conference on Artificial Intelligence 2025. Under Review.

2. Lizhen Zhu, James Z. Wang, Wonseuk Lee and Brad Wyble, ''Incorporating Simulated Spatial Context Information Improves the Effectiveness of Contrastive Learning Models,'' Patterns, vol. 5, no. 5, article 100964, pp. 1-15, 2024. [link]

3. Lizhen Zhu, and James Z. Wang, ''Unleashing the Problem-Solving Potential of Next-Generation Data Scientists at the Undergraduate Level,'' Proceedings of the International Conference on Computational and Systems Neuroscience (COSYNE), 2 pages, 2022. [link]

4. Lizhen Zhu, Brad Wyble and James Z. Wang, ''Using Navigational Information to Learn Visual Representations,'' Innovative Practices in Teaching Information Sciences and Technology: Experience Reports and Reflections, John M. Carroll (editor), vol. 2, pp. 87-110, Springer, 2024. [link]

5. Hangzhi Guo, Lizhen Zhu, and Ting-Hao K. Huang, ''Are GANs Biased? Evaluating GAN-Generated Facial Images via Crowdsourcing,'' NeurIPS Workshop on Human Evaluation of Generative Models, 10 pages, 2022. [link]

6. Yun Luo, Li-Zhen Zhu, Zi-Yu Wan, and Bao-Liang Lu, ''Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models,'' Journal of Neural Engineering, vol. 17, no. 5, article 056021, pp. 1-15, 2020. [link]

7. Yun Luo, Li-Zhen Zhu, and Bao-Liang Lu, ''A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition,'' Proceedings of the International Symposium on Neural Networks, pp. 141–150, Springer, 2019. [link]

8. Yunxuan Xiao, Yikai Li, Yuwei Wu, and Lizhen Zhu, ''Auto-Retoucher (ART) A Framework for Background Replacement and Foreground Adjustment,'' Proceedings of the 16th International Conference on Machine Vision Applications (MVA), pp. 1–5, IEEE, 2019. (oral). [link]

Experience

08/2020 - Present: Ph.D in The Pennsylvania State University
09/2016 - 06/2020: B.E in ACM Class, Shanghai Jiao Tong University

07/2019 - 12/2019: Intern in Penn State University, advised by Prof. Zihan Zhou
07/2018 - 07/2019: Research Assistant in Center for Brain-like Computing and Machine Intelligence(BCMI), SJTU