Edge Intelligence

MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition（共同一作，通讯作者）被IMWUT录用

MMPD: Multi-Domain Mobile Video Physiology Dataset（通讯作者）被EMBC 2023国际会议录用

Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images (第一作者) and Enabling Voice-Accompanying Hand-to-Face Gesture Recognition with Cross-Device Sensing (通讯作者) 被CHI 2023国际会议录用

Enabling Real-Time On-Chip Audio Super Resolution for Bone-Conduction Microphones (通讯作者) 被Sensors期刊录用。

FaceOri: Tracking Head Position and Orientation Using Ultrasonic Ranging on Earphones (第一作者) and TypeOut: Leveraging Just-in-Time Self-Affirmation for Smartphone Overuse Reduction (其他作者) 被CHI 2022国际会议录用

MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing (共同第一作者) 。本工作在商用手机前置摄像头上实现基于人脸的高鲁棒性心率检测技术（rPPG)，通过后置摄像头的手指PPG信号提供真值，实现对每个个体的rPPG的快速个性化调优，极大的提升rPPG检测对运动、光线等环境变量的鲁棒性。

ReflecTrack: Enabling 3D Acoustic Position Tracking Using Commodity Dual-Microphone Smartphones (通讯作者，第一作者：庄煜洲)。本文首次将反射面的概念引入主动声源定位技术中，实现了单麦克风对声源的定位升维，进而在商用手机上的内置双麦克风上实现精准的三维空间声源定位方法与技术。

三篇论文题目：1) Facilitating Text Entry on Smartphones with QWERTY Keyboard for User with Parkinson’s Disease (第一作者); 2) HulaMove: Using Commodity IMU for Waist Interaction (参与作者，第一作者为[Xuhai Xu](https://orsonxu.com/)), and 3) Auth+Track: Enabling Authentication Free Interaction on Smartphone by Continuous User Tracking (参与作者，第一作者为梁宸).

Super-resolution (SR) is a coveted image processing technique for mobile apps ranging from the basic camera apps to mobile health. Existing SR algorithms rely on deep learning models with significant memory requirements, so they have yet to be …

**Keep the Phone in Your Pocket: Enabling Smartphone Operation with an IMU Ring for Visually Impaired People** (led by [Guanhong Liu](https://www.behance.net/a8924899603763)) is accepted by IMWUT 2020.