Sotabase

Career

· Senior Research Scientist, Meta2023–
· Research Scientist, Meta2022–2023
· Applied Scientist Intern, Amazon2021–2021
· Research Intern, Google AI2020–2020
· Student Researcher, Google AI2020–2020
· Research Intern, UII America, Inc.2019–2019
· Research Intern, 12 Sigma Technologies2018–2018
· Doctor of Philosophy - PhD, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign2016–2021
· Master of Science - MS, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign2016–2019
· Research Assistant, University of Rochester2015–2015
· Bachelor of Engineering - BE, Biomedical/Medical Engineering, Zhejiang University2012–2016

Publications (37)

Extreme Learning Machines [Trends & Controversies]
2013
433
cited
Extreme Learning Machines
2014
224
cited
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection
IEEE Transactions on Knowledge and Data Engineering · 2022
81
cited
TOSELM: Timeliness Online Sequential Extreme Learning Machine
Neurocomputing · 2014
50
cited
Wearing-independent hand gesture recognition method based on EMG armband
Personal and Ubiquitous Computing · 2018
46
cited
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
arXiv.org · 2025
30
cited
CLC: A Consensus-based Label Correction Approach in Federated Learning
ACM Transactions on Intelligent Systems and Technology · 2022
29
cited
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data
IEEE Transactions on Big Data · 2024
27
cited
A Feature Adaptive Learning Method for High-Density sEMG-Based Gesture Recognition
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2021
22
cited
Dual layer transfer learning for sEMG-based user-independent gesture recognition
Personal and Ubiquitous Computing · 2020
22
cited
What can "drag & drop" tell? Detecting mild cognitive impairment by hand motor function assessment under dual-task paradigm
Int. J. Hum. Comput. Stud. · 2021
21
cited
PdAssist: Objective and quantified symptom assessment of Parkinson's disease via smartphone
IEEE International Conference on Bioinformatics and Biomedicine · 2017
15
cited
ASELM: Adaptive semi-supervised ELM with application in question subjectivity identification
Neurocomputing · 2016
12
cited
Using motor patterns for stroke detection
2015
11
cited
Anatomy-Aware Cardiac Motion Estimation
MLMI@MICCAI · 2020
10
cited
Wearable Sensors Based Automatic Box and Block Test System
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) · 2019
7
cited
COSA: Contextualized and Objective System to Support ADHD Diagnosis
IEEE International Conference on Bioinformatics and Biomedicine · 2018
6
cited
Context-Aware Information Based Ultrasonic Gesture Recognition Method
2018
5
cited
Generating Hashtags for Short-form Videos with Guided Signals
Annual Meeting of the Association for Computational Linguistics · 2023
5
cited
Human-centered intelligent healthcare: explore how to apply AI to assess cognitive health
CCF Transactions on Pervasive Computing and Interaction · 2022
5
cited
Sotabase
Hanchao Yu | Researcher Profile | Sotabase | Sotabase