| Aug 06, 2026 | The Smart Kitchen project website is now online. |
| Apr 14, 2026 | I’m excited to share that I’ve successfully defended my PhD at Washington University in St. Louis with my dissertation, “Smart Kitchen: Towards Real-Time AI Systems for Cognitive Support in Daily Activities.” Committee: Nathan Jacobs (Chair), Sanjoy Baruah, Lisa Connor, Roch Guérin, Chenyang Lu. |
| Dec 05, 2025 | 📄 My work with Jingwen Zhang, PhD (First Author), Addressing Cohort Variability with Adaptive Fusion of Wearable and Clinical Data: A Case Study in Predicting Pancreatic Surgery Outcomes, has been accepted in ACM Transactions on Computing for Healthcare (HEALTH). Paper Summary - We identify substantial cohort variability, exemplified by pre- vs. post-COVID surgical populations, and show that wearable and clinical features provide differing predictive value across patients, undermining fixed-weight multimodal models.
- To address this, we introduce AdaMoE, an adaptive Mixture-of-Experts framework with diversity regularization that dynamically fuses wearable and clinical data, achieving more robust and accurate post-surgical outcome prediction than existing fusion methods.
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| Oct 23, 2025 | 🏆 I have received the 2025 Google PhD Fellowship, recognizing and supporting my research on AI for health. The news was also featured by WashU Engineering. |
| Sep 18, 2025 | 📄 CHEF-VL: Detecting Cognitive Sequencing Errors in Cooking with Vision-Language Models, accepted to Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies and to be presented at UbiComp / ISWC 2026 in Oct. 2026 in Shanghai. Paper Summary - Two-Year Real-World Data Collection:
Developed a Smart Kitchen environment and collected a large, richly annotated dataset from over 100 participants performing a standardized cooking task, enabling research grounded in authentic human behavior. - A New AI Framework for Cognitive Support:
Introduced CHEF-VL, a dual–Vision-Language Model system that integrates action recognition, environmental state detection, and action–state refinement to accurately detect sequencing errors in real time. |
| Jul 12, 2025 | 📄 Real-time video-based human action recognition on embedded platforms, accepted to appear at ACM/IEEE EMSOFT @ ESWEEK 2025. |
| Jun 01, 2025 | 💼 Research Engineer Intern at Plus (May 2025 – Aug 2025, Santa Clara, CA): Vision-language model development for autonomous driving and curating datasets from real-world and synthetic sources. |
| Dec 04, 2024 | 📄 Jiaming Qiu, Ruiqi Wang, et al., Optimizing Edge Offloading Decisions for Object Detection at ACM/IEEE SEC 2024. [Explore the code on GitHub.][IEEE Xplore.] |
| Dec 07, 2023 | 📄 Progressive Neural Compression paper won Best Student Paper Award at IEEE Real-Time Systems Symposium (RTSS’23). [WashU News Coverage.][Explore the code on Github] |
| Dec 01, 2023 | Paper Leveraging Bluetooth low-energy technology to improve contact tracing among healthcare personnel in hospital setting during the coronavirus disease 2019 (COVID-19) pandemic is covered by - McKelvey School of Engineering News&Events: Wearable tech for contact tracing joins fight against COVID, future pandemics in hospitals
- Healio Bluetooth System an Effective Tool for Health Care Worker COVID-19 Contact Tracing
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| Sep 27, 2023 | [Paper] Jingwen Zhang, Ruixuan Dai, Ashraf Rjob, Ruiqi Wang, et al., Contact Tracing for Healthcare Workers in an Intensive Care Unit [UbiComp’23] |