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ORCIDMi Zhang 0002
Person information
- affiliation: Ohio State University, Columbus, OH, USA
- affiliation (former): Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA
- affiliation (former): Cornell University, Ithaca, NY, USA
- affiliation (former): University of Southern California, Ming Hsieh Department of Electrical Engineering, Los Angeles, CA, USA
Other persons with the same name
- Mi Zhang — disambiguation page
- Mi Zhang 0001
![[0000-0003-3567-3478]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3567-3478")
— Fudan University, Shanghai, China (and 1 more) - Mi Zhang 0003 — Drexel University, Philadelphia, PA, USA
- Mi Zhang 0004 — Wuhan University, School of Remote Sensing and Information Engineering, China
- Mi Zhang 0005 — China University of Petroleum, Beijing, China
- Mi Zhang 0006 — Wuhan University, School of Computer Science, China
- Mi Zhang 0007 — Chinese University of Hong Kong, Hong Kong
Other persons with a similar name
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2020 – today
- 2024
[j17]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): 15087-15099 (2024)- [j16]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) - [j15]Zhichao Cao, Chenning Li, Li Liu, Mi Zhang:
WiVelo: Fine-grained Wi-Fi Walking Velocity Estimation. ACM Trans. Sens. Networks 20(4): 95:1-95:21 (2024) - [c56]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP 2024: 8230-8234 - [c55]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: 230-245 - [c54]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: 479-491 - [i35]Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari:
IoT in the Era of Generative AI: Vision and Challenges. CoRR abs/2401.01923 (2024) - [i34]Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang:
Electrocardiogram Instruction Tuning for Report Generation. CoRR abs/2403.04945 (2024) - [i33]Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang:
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression. CoRR abs/2403.07378 (2024) - [i32]Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci:
Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. CoRR abs/2406.07146 (2024) - [i31]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 abs/2406.10318 (2024) - [i30]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 abs/2406.13035 (2024) - [i29]Shakhrul Iman Siam, Hyunho Ahn, Li Liu, Samiul Alam, Hui Shen, Zhichao Cao, Ness B. Shroff, Bhaskar Krishnamachari, Mani Srivastava, Mi Zhang:
Artificial Intelligence of Things: A Survey. CoRR abs/2410.19998 (2024) - 2023
- [j14]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): 116:1-116:31 (2023) - [j13]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): 14102-14113 (2023) - [j12]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): 21811-21819 (2023) - [c53]Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr:
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CVPR Workshops 2023: 5064-5073 - [c52]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: 1-5 - [c51]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: 4035-4045 - [c50]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS 2023 - [i28]Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr:
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CoRR abs/2304.06947 (2023) - [i27]Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang:
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning. CoRR abs/2304.08756 (2023) - [i26]Jialuo Du, Yidong Ren, Mi Zhang, Yunhao Liu, Zhichao Cao:
NELoRa-Bench: A Benchmark for Neural-enhanced LoRa Demodulation. CoRR abs/2305.01573 (2023) - [i25]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR abs/2305.19894 (2023) - [i24]Tuo Zhang, Tiantian Feng, Samiul Alam, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. CoRR abs/2306.02210 (2023) - [i23]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. CoRR abs/2306.09486 (2023) - [i22]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR abs/2309.07145 (2023) - [i21]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 abs/2310.00109 (2023) - [i20]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. CoRR abs/2312.03863 (2023) - 2022
- [j11]Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Amir Salman Avestimehr:
Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities. IEEE Internet Things Mag. 5(1): 24-29 (2022) - [j10]Chenning Li, Hanqing Guo, Shuai Tong, Zhichao Cao, Mi Zhang, Qiben Yang, Li Xiao, Jiliang Wang, Yunhao Liu:
NELoRa: Neural-enhanced Demodulation for Low-Power WANs. GetMobile Mob. Comput. Commun. 26(3): 34-38 (2022) - [c49]Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CVPR 2022: 3323-3333 - [c48]Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang:
Deep AutoAugment. ICLR 2022 - [c47]Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia:
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective. MILCOM 2022: 478-483 - [c46]Chenning Li, Xiao Zeng, Mi Zhang, Zhichao Cao:
PyramidFL: a fine-grained client selection framework for efficient federated learning. MobiCom 2022: 158-171 - [c45]Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang:
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. NeurIPS 2022 - [c44]Chenning Li, Li Liu, Zhichao Cao, Mi Zhang:
WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking. SECON 2022: 172-180 - [c43]Jingwei Sun, Ang Li, Lin Duan, Samiul Alam, Xuliang Deng, Xin Guo, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen:
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. SenSys 2022: 106-119 - [i19]Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CoRR abs/2201.04288 (2022) - [i18]Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang:
Deep AutoAugment. CoRR abs/2203.06172 (2022) - [i17]Chenning Li, Li Liu, Zhichao Cao, Mi Zhang:
WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking. CoRR abs/2207.14072 (2022) - [i16]Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
FedAudio: A Federated Learning Benchmark for Audio Tasks. CoRR abs/2210.15707 (2022) - [i15]Lei Fu, Huanle Zhang, Ge Gao, Huajie Wang, Mi Zhang, Xin Liu:
Client Selection in Federated Learning: Principles, Challenges, and Opportunities. CoRR abs/2211.01549 (2022) - [i14]Huanle Zhang, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, Xin Liu:
Federated Learning Hyper-Parameter Tuning from a System Perspective. CoRR abs/2211.13656 (2022) - [i13]Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang:
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. CoRR abs/2212.01548 (2022) - [i12]Shen Yan, Tao Zhu, Zirui Wang, Yuan Cao, Mi Zhang, Soham Ghosh, Yonghui Wu, Jiahui Yu:
Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners. CoRR abs/2212.04979 (2022) - 2021
- [j9]Ruiyang Gao, Mi Zhang, Jie Zhang, Yang Li, Enze Yi, Dan Wu, Leye Wang, Daqing Zhang:
Towards Position-Independent Sensing for Gesture Recognition with Wi-Fi. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 61:1-61:28 (2021) - [j8]Tian Xie, Guan-Hua Tu, Bangjie Yin, Chi-Yu Li, Chunyi Peng, Mi Zhang, Hui Liu, Xiaoming Liu:
The Untold Secrets of WiFi-Calling Services: Vulnerabilities, Attacks, and Countermeasures. IEEE Trans. Mob. Comput. 20(11): 3131-3147 (2021) - [c42]Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang:
CATE: Computation-aware Neural Architecture Encoding with Transformers. ICML 2021: 11670-11681 - [c41]Li Liu, Yuguang Yao, Zhichao Cao, Mi Zhang:
DeepLoRa: Learning Accurate Path Loss Model for Long Distance Links in LPWAN. INFOCOM 2021: 1-10 - [c40]Xiao Zeng, Ming Yan, Mi Zhang:
Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling. SenSys 2021: 29-41 - [c39]Ang Li, Jingwei Sun, Xiao Zeng, Mi Zhang, Hai Li, Yiran Chen:
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking. SenSys 2021: 42-55 - [c38]Chenning Li, Hanqing Guo, Shuai Tong, Xiao Zeng, Zhichao Cao, Mi Zhang, Qiben Yan, Li Xiao, Jiliang Wang, Yunhao Liu:
NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation. SenSys 2021: 56-68 - [i11]Shen Yan, Kaiqiang Song, Zhe Feng, Mi Zhang:
CATE: Computation-aware Neural Architecture Encoding with Transformers. CoRR abs/2102.07108 (2021) - [i10]Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (2021) - [i9]Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia:
Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective. CoRR abs/2110.03061 (2021) - [i8]Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Salman Avestimehr:
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities. CoRR abs/2111.07494 (2021) - 2020
- [c37]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: 299-315 - [c36]Abin Jose, Shen Yan, Mi Zhang, Jens-Rainer Ohm:
Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space Learning. ICIP 2020: 1701-1705 - [c35]Biyi Fang, Xiao Zeng, Faen Zhang, Hui Xu, Mi Zhang:
FlexDNN: Input-Adaptive On-Device Deep Learning for Efficient Mobile Vision. SEC 2020: 84-95 - [c34]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: 1369-1378 - [c33]Xinyu Lei, Guan-Hua Tu, Chi-Yu Li, Tian Xie, Mi Zhang:
SecWIR: securing smart home IoT communications via wi-fi routers with embedded intelligence. MobiSys 2020: 260-272 - [c32]Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang:
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NeurIPS 2020 - [c31]Xiao Zeng, Biyi Fang, Haichen Shen, Mi Zhang:
Distream: scaling live video analytics with workload-adaptive distributed edge intelligence. SenSys 2020: 409-421 - [c30]Chenning Li, Zheng Liu, Yuguang Yao, Zhichao Cao, Mi Zhang, Yunhao Liu:
Wi-fi see it all: generative adversarial network-augmented versatile wi-fi imaging. SenSys 2020: 436-448 - [i7]Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang:
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? CoRR abs/2006.06936 (2020) - [i6]Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr:
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR abs/2007.13518 (2020) - [i5]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 abs/2010.08861 (2020)
2010 – 2019
- 2019
- [j7]Mi Zhang, Xiaofan Fred Jiang, Steve Hodges:
Communication Challenges in the IoT. IEEE Pervasive Comput. 18(1): 8-9 (2019) - [j6]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): 16-22 (2019) - [c29]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: 1942-1950 - [i4]Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Hui Xu, Mi Zhang:
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking. CoRR abs/1909.00122 (2019) - [i3]Taojiannan Yang, Sijie Zhu, Shen Yan, Mi Zhang, Andrew R. Willis, Chen Chen:
A closer look at network resolution for efficient network design. CoRR abs/1909.12978 (2019) - 2018
- [j5]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): 78:1-78:21 (2018) - [j4]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): 10-14 (2018) - [c28]Tian Xie, Guan-Hua Tu, Chi-Yu Li, Chunyi Peng, Jiawei Li, Mi Zhang:
The Dark Side of Operational Wi-Fi Calling Services. CNS 2018: 1 - [c27]Biyi Fang, Xiao Zeng, Mi Zhang:
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision. MobiCom 2018: 115-127 - [i2]Biyi Fang, Xiao Zeng, Mi Zhang:
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision. CoRR abs/1810.10090 (2018) - [i1]Tian Xie, Guan-Hua Tu, Bangjie Yin, Chi-Yu Li, Chunyi Peng, Mi Zhang, Hui Liu, Xiaoming Liu:
The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and Countermeasures. CoRR abs/1811.11274 (2018) - 2017
- [c26]Xiao Zeng, Kai Cao, Mi Zhang:
MobileDeepPill: A Small-Footprint Mobile Deep Learning System for Recognizing Unconstrained Pill Images. MobiSys 2017: 56-67 - [c25]Biyi Fang, Jillian Co, Mi Zhang:
DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation. SenSys 2017: 5:1-5:13 - 2016
- [c24]Biyi Fang, Qiumin Xu, Taiwoo Park, Mi Zhang:
AirSense: an intelligent home-based sensing system for indoor air quality analytics. UbiComp 2016: 109-119 - [c23]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: 21:1-21:12 - [c22]Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar:
Poster: Towards Radio-based Sensing on Wearables. MobiSys (Companion Volume) 2016: 23 - [c21]Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar:
BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring. MobiSys 2016: 97-110 - [c20]Fazlay Rabbi, Taiwoo Park, Biyi Fang, Mi Zhang, Youngki Lee, Rajiv Ranganathan:
Demo: Towards Immersive and Interactive Gym Exercises. MobiSys (Companion Volume) 2016: 114 - 2015
- [j3]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): 14-17 (2015) - [c19]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: 39-50 - [c18]Mashfiqui Rabbi, Min Hane Aung, Mi Zhang, Tanzeem Choudhury:
MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones. UbiComp 2015: 707-718 - [c17]Biyi Fang, Tao Feng, Mi Zhang, Shantanu Chakrabartty:
Feasibility of B-mode diagnostic ultrasonic energy transfer and telemetry to a cm2 sized deep-tissue implant. ISCAS 2015: 782-785 - [c16]Sohrab Saeb, Mi Zhang, Mary J. Kwasny, Christopher J. Karr, Konrad P. Körding, David C. Mohr:
The relationship between clinical, momentary, and sensor-based assessment of depression. PervasiveHealth 2015: 229-232 - [c15]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: 9:1-9:8 - 2014
- [c14]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: 2-13 - [c13]Tauhidur Rahman, Mi Zhang, Stephen Voida, Tanzeem Choudhury:
Towards accurate non-intrusive recollection of stress levels using mobile sensing and contextual recall. PervasiveHealth 2014: 166-169 - 2013
- [j2]Mi Zhang, Alexander A. Sawchuk:
Human Daily Activity Recognition With Sparse Representation Using Wearable Sensors. IEEE J. Biomed. Health Informatics 17(3): 553-560 (2013) - [c12]Harshvardhan Vathsangam, Mi Zhang, Alexander Tarashansky, Alexander A. Sawchuk, Gaurav S. Sukhatme:
Towards practical energy expenditure estimation with mobile phones. ACSSC 2013: 74-79 - 2012
- [j1]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): 3169-3176 (2012) - [c11]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: 124-129 - [c10]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: 6111-6115 - [c9]Mi Zhang, Alexander A. Sawchuk:
A preliminary study of sensing appliance usage for human activity recognition using mobile magnetometer. UbiComp 2012: 745-748 - [c8]Mi Zhang, Alexander A. Sawchuk:
USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors. UbiComp 2012: 1036-1043 - [c7]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: 1807-1810 - [c6]Mi Zhang, Alexander A. Sawchuk:
Motion primitive-based human activity recognition using a bag-of-features approach. IHI 2012: 631-640 - [c5]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: 159-162 - 2011
- [c4]Mi Zhang, Alexander A. Sawchuk:
A feature selection-based framework for human activity recognition using wearable multimodal sensors. BODYNETS 2011: 92-98 - [c3]Mi Zhang, Alexander A. Sawchuk:
Context-aware fall detection using a Bayesian network. CASEMANS@Ubicomp 2011: 10-16 - [c2]Mi Zhang, Alexander A. Sawchuk:
Manifold Learning and Recognition of Human Activity Using Body-Area Sensors. ICMLA (2) 2011: 7-13
2000 – 2009
- 2009
- [c1]Mi Zhang, Anand Joshi, Ritesh Kadmawala, Karthik Dantu, Sameera Poduri, Gaurav S. Sukhatme:
OCRdroid: A Framework to Digitize Text Using Mobile Phones. MobiCASE 2009: 273-292
Coauthor Index
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last updated on 2024-12-11 21:42 CET by the dblp team
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