Mi Zhang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 42

Top Topics

Linear Discriminant

Neural Architecture

Top Venues

Publications

Yidong Ren, Wei Sun, Jialuo Du, Huaili Zeng, Younsuk Dong, Mi Zhang, Shigang Chen, Yunhao Liu, Tianxing Li, Zhichao Cao
Demeter: Reliable Cross-soil LPWAN with Low-cost Signal Polarization Alignment. MobiCom (2024)
Ruiyang Gao, Wenwei Li, Jinyi Liu, Shuyu Dai, Mi Zhang, Leye Wang, Daqing Zhang
WiCGesture: Meta-Motion-Based Continuous Gesture Recognition With Wi-Fi. IEEE Internet Things J. 11 (9) (2024)
Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang
D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models. CoRR (2024)
Chenning Li, Yidong Ren, Shuai Tong, Shakhrul Iman Siam, Mi Zhang, Jiliang Wang, Yunhao Liu, Zhichao Cao
ChirpTransformer: Versatile LoRa Encoding for Low-power Wide-area IoT. MobiSys (2024)
Tuo Zhang, Tiantian Feng, Yibin Ni, Mengqin Cao, Ruying Liu, Katharine Butler, Yanjun Weng, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. CoRR (2024)
Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci
ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP (2024)
Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression. CoRR (2024)
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. 2024 (2024)
Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CVPR Workshops (2023)
Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
FedMultimodal: A Benchmark for Multimodal Federated Learning. KDD (2023)
Lei Fu, Huanle Zhang, Ge Gao, Mi Zhang, Xin Liu
Client Selection in Federated Learning: Principles, Challenges, and Opportunities. IEEE Internet Things J. 10 (24) (2023)
Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things. CoRR (2023)
Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR (2023)
Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
FedAudio: A Federated Learning Benchmark for Audio Tasks. ICASSP (2023)
Huanle Zhang, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, Xin Liu
Federated Learning Hyperparameter Tuning From a System Perspective. IEEE Internet Things J. 10 (16) (2023)
Jaeyeon Park, Kichang Lee, Sungmin Lee, Mi Zhang, JeongGil Ko
AttFL: A Personalized Federated Learning Framework for Time-series Mobile and Embedded Sensor Data Processing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (3) (2023)
Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang
CATE: Computation-aware Neural Architecture Encoding with Transformers. ICML (2021)
Xiao Zeng, Ming Yan, Mi Zhang
Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling. SenSys (2021)
Shen Yan, Kaiqiang Song, Zhe Feng, Mi Zhang
CATE: Computation-aware Neural Architecture Encoding with Transformers. CoRR (2021)
Xiao Zeng, Biyi Fang, Haichen Shen, Mi Zhang
Distream: scaling live video analytics with workload-adaptive distributed edge intelligence. SenSys (2020)
Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew R. Willis
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution. ECCV (1) (2020)
Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NeurIPS (2020)
Shuang Jiang, Zhiyao Ma, Xiao Zeng, Chenren Xu, Mi Zhang, Chen Zhang, Yunxin Liu
SCYLLA: QoE-aware Continuous Mobile Vision with FPGA-based Dynamic Deep Neural Network Reconfiguration. INFOCOM (2020)
Biyi Fang, Xiao Zeng, Faen Zhang, Hui Xu, Mi Zhang
FlexDNN: Input-Adaptive On-Device Deep Learning for Efficient Mobile Vision. SEC (2020)
Mi Zhang, Faen Zhang, Nicholas D. Lane, Yuanchao Shu, Xiao Zeng, Biyi Fang, Shen Yan, Hui Xu
Deep Learning in the Era of Edge Computing: Challenges and Opportunities. CoRR (2020)
Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? CoRR (2020)
Abin Jose, Shen Yan, Mi Zhang, Jens-Rainer Ohm
Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space Learning. ICIP (2020)
Taojiannan Yang, Sijie Zhu, Shen Yan, Mi Zhang, Andrew R. Willis, Chen Chen
A closer look at network resolution for efficient network design. CoRR (2019)
Akane Sano, Tauhidur Rahman, Mi Zhang, Deepak Ganesan, Tanzeem Choudhury
Mobile Sensing of Alertness, Sleep, and Circadian Rhythm: Hardware & Software Platforms. GetMobile Mob. Comput. Commun. 23 (3) (2019)
Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Mi Zhang, Hui Xu
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking. ICCV Workshops (2019)
Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Hui Xu, Mi Zhang
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking. CoRR (2019)
Fazlay Rabbi, Taiwoo Park, Biyi Fang, Mi Zhang, Youngki Lee
When Virtual Reality Meets Internet of Things in the Gym: Enabling Immersive Interactive Machine Exercises. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (2) (2018)
Taiwoo Park, Mi Zhang, Youngki Lee
When Mixed Reality meets Internet of Things: Toward the Realization of Ubiquitous Mixed Reality. GetMobile Mob. Comput. Commun. 22 (1) (2018)
Biyi Fang, Xiao Zeng, Mi Zhang
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision. CoRR (2018)
Biyi Fang, Xiao Zeng, Mi Zhang
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision. MobiCom (2018)
Biyi Fang, Jillian Co, Mi Zhang
DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation. SenSys (2017)
Xiao Zeng, Kai Cao, Mi Zhang
: A Small-Footprint Mobile Deep Learning System for Recognizing Unconstrained Pill Images. MobiSys (2017)
Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar
Poster: Towards Radio-based Sensing on Wearables. MobiSys (Companion Volume) (2016)
Biyi Fang, Qiumin Xu, Taiwoo Park, Mi Zhang
AirSense: an intelligent home-based sensing system for indoor air quality analytics. UbiComp (2016)
Fazlay Rabbi, Taiwoo Park, Biyi Fang, Mi Zhang, Youngki Lee, Rajiv Ranganathan
Demo: Towards Immersive and Interactive Gym Exercises. MobiSys (Companion Volume) (2016)
Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar
: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring. MobiSys (2016)
Biyi Fang, Nicholas D. Lane, Mi Zhang, Fahim Kawsar
HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities. IPSN (2016)
Tauhidur Rahman, Alexander Travis Adams, Mi Zhang, Erin Cherry, Tanzeem Choudhury
BodyBeat: Eavesdropping on our Body Using a Wearable Microphone. GetMobile Mob. Comput. Commun. 19 (1) (2015)
Tauhidur Rahman, Alexander Travis Adams, Ruth Vinisha Ravichandran, Mi Zhang, Shwetak N. Patel, Julie A. Kientz, Tanzeem Choudhury
DoppleSleep: a contactless unobtrusive sleep sensing system using short-range Doppler radar. UbiComp (2015)
Mashfiqui Rabbi, Jean Marcel dos Reis Costa, Fabian Okeke, Max Schachere, Mi Zhang, Tanzeem Choudhury
An intelligent crowd-worker selection approach for reliable content labeling of food images. Wireless Health (2015)
Mashfiqui Rabbi, Min Hane Aung, Mi Zhang, Tanzeem Choudhury
MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones. UbiComp (2015)
Biyi Fang, Tao Feng, Mi Zhang, Shantanu Chakrabartty
sized deep-tissue implant. ISCAS (2015)
Tauhidur Rahman, Mi Zhang, Stephen Voida, Tanzeem Choudhury
Towards accurate non-intrusive recollection of stress levels using mobile sensing and contextual recall. PervasiveHealth (2014)
Tauhidur Rahman, Alexander Travis Adams, Mi Zhang, Erin Cherry, Bobby Zhou, Huaishu Peng, Tanzeem Choudhury
BodyBeat: a mobile system for sensing non-speech body sounds. MobiSys (2014)
Mi Zhang, Alexander A. Sawchuk
Human Daily Activity Recognition With Sparse Representation Using Wearable Sensors. IEEE J. Biomed. Health Informatics 17 (3) (2013)
Harshvardhan Vathsangam, Mi Zhang, Alexander Tarashansky, Alexander A. Sawchuk, Gaurav S. Sukhatme
Towards practical energy expenditure estimation with mobile phones. ACSSC (2013)
Mi Zhang, Belinda Lange, Chien-Yen Chang, Alexander A. Sawchuk, Albert A. Rizzo
Beyond the standard clinical rating scales: Fine-grained assessment of post-stroke motor functionality using wearable inertial sensors. EMBC (2012)
Mi Zhang, Alexander A. Sawchuk
Motion primitive-based human activity recognition using a bag-of-features approach. IHI (2012)
Mi Zhang, Alexander A. Sawchuk
A preliminary study of sensing appliance usage for human activity recognition using mobile magnetometer. UbiComp (2012)
Wenyao Xu, Mi Zhang, Alexander A. Sawchuk, Majid Sarrafzadeh
Robust Human Activity and Sensor Location Corecognition via Sparse Signal Representation. IEEE Trans. Biomed. Eng. 59 (11-2) (2012)
Chien-Yen Chang, Belinda Lange, Mi Zhang, Sebastian Koenig, Phil Requejo, Noom Somboon, Alexander A. Sawchuk, Albert A. Rizzo
Towards pervasive physical rehabilitation using Microsoft Kinect. PervasiveHealth (2012)
Wenyao Xu, Mi Zhang, Alexander A. Sawchuk, Majid Sarrafzadeh
Co-recognition of Human Activity and Sensor Location via Compressed Sensing in Wearable Body Sensor Networks. BSN (2012)
Mi Zhang, Wenyao Xu, Alexander A. Sawchuk, Majid Sarrafzadeh
Sparse representation for motion primitive-based human activity modeling and recognition using wearable sensors. ICPR (2012)
Mi Zhang, Alexander A. Sawchuk
USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors. UbiComp (2012)
Mi Zhang, Alexander A. Sawchuk
A feature selection-based framework for human activity recognition using wearable multimodal sensors. BODYNETS (2011)
Mi Zhang, Alexander A. Sawchuk
Context-aware fall detection using a Bayesian network. CASEMANS@Ubicomp (2011)
Mi Zhang, Alexander A. Sawchuk
Manifold Learning and Recognition of Human Activity Using Body-Area Sensors. ICMLA (2) (2011)
Mi Zhang, Anand Joshi, Ritesh Kadmawala, Karthik Dantu, Sameera Poduri, Gaurav S. Sukhatme
OCRdroid: A Framework to Digitize Text Using Mobile Phones. MobiCASE (2009)