5000 Forbes Ave., EDSH 111, Pittsburgh, PA 15213



Advances in sensors, machine learning and computer vision hold tremendous potential to reshape our world. My research focuses on unlocking this potential contained in applied machine learning approaches, and applying them in intelligent and measurable ways to improve safety and quality-of-life. My research and current projects can be broken down into two main areas:

1. Perception on embedded platforms: My research team at RI CMU empowers cameras and sensors on moving platforms-autonomous machines, drones, smart camera modules-with (a) the light-weight Deep Neural Networks (DNNs) that consume less computation, memory, and power than standard deep learning approaches, and (b) the advanced training approaches that improve performance on embedded platforms without overheads on deployment efforts, training data and testing computation. We are making intelligent perception solutions accessible for general industries and markets.

2. Perception in multi-modality systems: We develop deep learning approaches that take multiple sensor data (e.g., videos, depth, wearable sensor signal, and WiFi signal) to produce multiple perception results, such as location, poses, activities, and physical metrics. Our deep approaches also trace the key factors of perception results for the purpose of improving the psychical performance of athletes and quality-of-life for the general public.





Positions are available for Postdocs, Research Engineers and graduate-level Research Associates! Please email me on your interests and experiences.  



Aug.2021: Tech news on our WiFi sensing technology on Post-Gazette News Link
Jul. 2021: Elaborative Rehearsal for Zero-shot Action Recognition accepted by ICCV 2021!
Mar. 2021: Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs accepted by CVPR 2021 (Oral)! 

Sep. 2020: Comprehensive Attention Self-Distillation (CASD) accepted by NeurIPS 2020!
Aug. 2020: RSC and MAL codes released in our [Github]
Jun. 2020: Representation Self-Challenging (RSC) accepted by ECCV 2020 Oral (top 2%)! 
Feb. 2020: Multiple Anchor Learning (MAL) accepted by CVPR 2020! 
Sep. 2019: Inverted Attention (IA) accepted by WACV 2020! 
Jul. 2019: Person-in-WiFi accepted by ICCV 2019! 
May. 2019: 9 Papers on Deep Learning Research 
Mar. 2019: DeLight Group Webpage at Robotics Institute, CMU