CV

EDUCATION

• GPA: 3.8/4.0; Dean’s List with Distinction (24FA, 24SP), Dean’s List (23FA)
• Courses: Deep Learning (A+), Machine Learning (A+), Matrix/Graph/Network Analysis (A+), Databases (A+), etc.
• Service/activities: Supported classmates at Duke as Kunshan Student Orientation Peer. Led weekly training sessions as Kendo Club Training Leader…

PROJECTS

qqgjyx.com/mheatmap

• Developed a Python package for proportional heatmap visualization and spectral reordering that has been well received by the community (600+ GitHub stars).
• Achieved broad academic impact: the package has been adopted by multiple research groups for data visualization workflows and has been cited in peer-reviewed papers, highlighting its usefulness and reliability in published scientific research.

qqgjyx.com/pysgtsnepi

• Implemented the SG-t-SNE-Π algorithm in Python from scratch, making state-of-the-art dimensionality reduction more accessible to researchers.
• Achieved wider community adoption by delivering clean, well-documented APIs, enabling seamless integration of SG-t-SNE-Π into existing data science pipelines and fostering efficient usage by researchers and practitioners.

PUBLICATIONS

Martian Photoperiod Attenuates Waking Theta Activity at Night and Disrupts Short-term Object Memory in Mice Despite Circadian Realignment

Shu Kit Eric Tam, Juntang Wang, Aleksandra Stryjska, Pascal Grange, and Sze Chai Kwok. (2025). "Martian Photoperiod Attenuates Waking Theta Activity at Night and Disrupts Short-term Object Memory in Mice Despite Circadian Realignment." Submitted.

Mixing Configurations for Downstream Prediction

Juntang Wang†, Hao Wu†, Runkun Guo, Yihan Wang, Dongmian Zou, and Shixin Xu. (2025). "Mixing Configurations for Downstream Prediction." The 14th International Conference on Learning Representations (ICLR 2026, under review). Available at: https://arxiv.org/abs/2510.19248

Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition

Juntang Wang†, Yihan Wang†, Hao Wu†, Dongmian Zou, and Shixin Xu. (2025). "Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition." 15th International Conference on Brain Inspired Cognitive Systems (BICS 2025). Available at: https://arxiv.org/abs/2510.19229

Can the Mammalian Circadian System Adapt to the Martian Photoperiod?

Shu Kit Eric Tam, Juntang Wang, Jianke Cen, Aleksandra Stryjska, Pascal Grange, and Sze Chai Kwok (2025). "Can the mammalian circadian system adapt to the Martian photoperiod?" The 18th Annual Meeting of Chinese Neuroscience Society (CNS 2025). Available at: https://www.kwoklab.org/labresource/Shujie Tan/Poster_TSJ_20250927.pdf

Analyzing Temperature-Induced Phase Transitions in LK99 (Pb₁₀₋ₓCuₓ(PO₄)₆O)

Yihan Wang†, Juntang Wang†, Xinze Xu, Yihen Han, Qinyi Chen, Ghulam Hussain, and Xiawa Wang. (2025). "Analyzing temperature-induced phase transitions in Pb₁₀₋ₓCuₓ(PO₄)₆O." 17th International Conference on Materials Chemistry (MC17). Available at: https://online.flippingbook.com/view/299339187/111/

RESEARCH EXPERIENCE

• Conducted research on topics including 16S rRNA for bacterial culture media prediction and acute ischemic stroke reperfusion decision-making.
• Utilized techniques such as clustering, neural networks, and ordinary differential equations to solve real-world problems; developed novel models.
• Produced two peer-reviewed papers currently under review at top-tier international conferences, as well as one thesis.

• Studied how the Martian photoperiod affects the mammalian circadian system, as well as sleep and wake patterns in mice, and explored methods for vigilance state classification.
• Implemented a convolutional neural network that achieved over 90% accuracy in classifying vigilance states using mouse electroencephalography (EEG) and electromyography (EMG) data. Explored and compared more than 10 existing classification methods.
• Produced one conference poster and one research manuscript that is currently under consideration in a SCI journal.

• Studied precursor clustering and community detection methods, applying them to hyperspectral imaging. Collected over 5 methods and more than 10 datasets.
• Utilized tools such as Python (scikit-learn), MATLAB, and Julia, as well as techniques such as k-nearest neighbor graphs, Stochastic Graph t-SNE, and Parallel Clustering with Resolution Variation to address the challenge of unsupervised segmentation in hyperspectral imaging.
• Developed Python packages mheatmap and pysgtsnepi, which aid in post- and pre-processing of HSI data and have been well received by the community (600+ GitHub stars).

• Researched temperature-induced electronic, magnetic, and structural properties of emerging solid-state materials, including Pb\(_{10-x}\)Cu\(_x\)(PO\(_4\))\(_6\)O\(_3\) (LK-99), KBaLnB\(_2\)O\(_6\) (Ln = Gd, Yb, Tb), and others.
• Utilized techniques such as temperature-dependent X-ray diffraction, Raman spectroscopy, and density functional theory (DFT) calculations to study photoluminescence, phase transitions, and ferromagnetism in these emerging or rare-earth materials.
• Produced a conference paper presented at an international conference organized by the Royal Society of Chemistry (RSC).

TEACHING

WORK EXPERIENCE

• Assisted student residents with academic and personal issues; fostered an engaging community; handled 50+ incidents; served for 3 years.
• Developed a Python script to scrape Reddit images and the resident roster for automatic door decoration creation, which was used by fellow RAs.

• Assisted in backend development and conducted literature reviews on topics such as LLMs, agentic systems, and more.
• Authored a professional report on software-related industries in China, focusing on AI innovation.

• Assisted in investigating client businesses, including conducting credit analysis and market research.
• Drafted over 50 audit reports on local electronics companies and conducted in-depth industry research.

XTRA INFORMATION

Certifications: Responsible Conduct for Duke Community Engagement (Canvas Credentials), Undergraduate Student Responsible Conduct of Research (CITI Program), etc.
Honors & awards: Stanford RNA 3D Folding (Kaggle) Bronze Medal (Top 8%, 1500+ teams).
Interests: Anime, Comics & Games (ACG), cooking, gym.
Service: Supported classmates at Duke as Orientation Peer. Led weekly training sessions as Kendo Club Training Leader…
Skills: Programming & analysis (Python, MATLAB, Julia, Java, C); data & web (PostgreSQL, MongoDB, HTML/CSS)…