Zongliang (Jerry) Ji

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Rahul G. KrishnanUniversity of TorontoCorreu electrònic verificat a cs.toronto.edu
Michael CooperPhD Student, University of TorontoCorreu electrònic verificat a cs.toronto.edu
John RieffelUnion CollegeCorreu electrònic verificat a union.edu
Olga VekslerSchool of Computer Science, University of WaterlooCorreu electrònic verificat a uwaterloo.ca
Kristen A SeversonMicrosoft ResearchCorreu electrònic verificat a microsoft.com
Philip RosenfieldMicrosoft ResearchCorreu electrònic verificat a microsoft.com
Nicolò FusiPartner Researcher, Microsoft ResearchCorreu electrònic verificat a microsoft.com
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoCorreu electrònic verificat a utoronto.ca

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Zongliang (Jerry) Ji

UofT CS PhD student; Waterloo '21; Union '19

Correu electrònic verificat a mail.utoronto.ca - Pàgina d'inici

Machine Learning Healthcare Computer Vision Computational Biology


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Machine learning in computational histopathology: Challenges and opportunities M Cooper, Z Ji, RG Krishnan Genes, Chromosomes and Cancer 62 (9), 540-556, 2023	27	2023
Low-cost wireless modular soft tensegrity robots J Kimber, Z Ji, A Petridou, T Sipple, K Barhydt, J Boggs, L Dosiek, ... 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft), 88-93, 2019	26	2019
Weakly Supervised Semantic Segmentation: From Box to Tag and Back Z Ji, O Veksler The 32nd British Machine Vision Conference, 2021	7	2021
Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology Z Ji, P Rosenfield, C Eng, S Bettigole, DC Gibson, H Masoudi, M Hanna, ... Medical Imaging with Deep Learning, 2023	3	2023
Matrix multiplication: verifying strong uniquely solvable puzzles M Anderson, Z Ji, AY Xu International Conference on Theory and Applications of Satisfiability …, 2020	2	2020
Bridging odorants and olfactory perception through machine learning: A review R Zhong, Z Ji, S Wang, H Chen Trends in Food Science & Technology, 104700, 2024	1	2024
Approximation of Continuous Functions by Artificial Neural Networks Z Ji	1	2019
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium A Adibi, X Cao, Z Ji, JN Kaur, W Chen, E Healey, B Nuwagira, W Ye, ... arXiv preprint arXiv:2502.06693, 2025		2025
Systems and methods for evaluation of mitotic events using machine-learning A Verma, ENG Christina, S Bettigole, R Gopalkrishnan, K Severson, ... US Patent App. 18/693,483, 2024		2024
Measurement Scheduling for ICU Patients with Offline Reinforcement Learning Z Ji, A Goldenberg, RG Krishnan arXiv preprint arXiv:2402.07344, 2024		2024
Regularized Loss With Hyperparameter Estimation for Weakly Supervised Single Class Segmentation Z Ji, O Veksler IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (5), 3923-3937, 2024		2024
Weakly-supervised Semantic Segmentation with Regularized Loss Hyperparameter Search Z Ji University of Waterloo, 2021		2021
Exploring the Behavior Repertoire of a Wireless Vibrationally Actuated Tensegrity Robot Z Ji		2019

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