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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Double-Flow GAN Model for the Reconstruction of Perceived Faces from Brain Activities
Published in arXiv (preprint), 2024
This paper proposes Double-Flow GAN, a dual-stream generative adversarial framework that reconstructs perceived human faces from fMRI brain activity. The model leverages a feature-aligned latent space to enhance perceptual realism and structural accuracy, achieving state-of-the-art performance in neural decoding.
Recommended citation: Wang, Z., Zhao, J., & Zhang, H. (2024). Double-Flow GAN Model for the Reconstruction of Perceived Faces from Brain Activities. arXiv preprint arXiv:2312.07478. https://arxiv.org/abs/2312.07478v2
DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs
Published in 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) (published), 2025
DailyLLM is a lightweight LLM-based framework for context-aware activity log generation and summarization using multimodal smartphone and smartwatch sensors. It achieves 17% higher BERTScore precision and 10× faster inference compared to state-of-the-art methods while using only a 1.5B-parameter model.
Recommended citation: Tian, Y., Ren, X., Wang, Z., Gungor, O., Yu, X., & Rosing, T. (2025). DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs. In 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS). https://arxiv.org/abs/2507.13737
MultiLifeQA: A Multi-Domain Health Reasoning Benchmark
Published in International Conference on Learning Representations (ICLR) (under review), 2026
We propose MultiLifeQA, a large-scale question answering benchmark for multidimensional lifestyle health reasoning. It spans four lifestyle dimensions (diet, activity, sleep, and emotion) and evaluates cross-dimensional and long-horizon reasoning capabilities of LLMs through context-based and database-augmented prompting.
Recommended citation: Tian, Y.$^*$, Wang, Z.$^*$, Gungor, O., Fan, X., & Rosing, T. (2026). MultiLifeQA: A Multi-Domain Health Reasoning Benchmark. Submitted to the International Conference on Learning Representations (ICLR). https://openreview.net/forum?id=5882BZyFdS
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.