Selected Research Papers
- [ICPADS 2025] Runzheng Wang, Jiahua Wang, Yan Lu, Lei Fu, Huanle Zhang. “FastAvatar: Enabling Fast Talking-Face Synthesis on Resource-Constrained Devices via Multimodal Caching and Adaptation”.
- Accelerating on-device talking-head synthesis model inference via a multimodal cache.
- [AAAI 2023 (Oral)] Yan Lu, Zhun Zhong, Yuanchao Shu. “Multi-View Domain Adaptive Object Detection in Surveillance Cameras”. [arxiv] [PDF] [PDF (including appendix)] [Slides] [bib]
- Leveraging multi-views from overlapping cameras to learn a robust backbone for downstream unsupervised domain adaptation tasks.
- [SenSys 2022] Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu. “Turbo: Opportunistic Enhancement for Edge Video Analytics”. ACM SenSys 2022. [PDF] [Slides] [Code] [Project page] [bib]
- Using data enhancement to help video analytics applications capture hard samples and improve the accuracy in further.
- [TIOT 2022] Zheng Dong, Yan Lu, Guangmo Tong, Yuanchao Shu, Shuai Wang, Weisong Shi. “WatchDog: Real-time Vehicle Tracking on Geo-distributed Edge Nodes”. ACM Transactions on Internet of Things, 2022. [PDF] [bib]
- Accelerating vehicle tracking with a distributed resource manager!
- [SEC 2019] Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen and Dan Pei. “Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction”. In the Fourth ACM/IEEE Symposium on Edge Computing, 2019. [PDF] [bib]
- Improving edge device learning with the global knowledge!
