| Machine learning in computational histopathology: Challenges and opportunities M Cooper*, Z Ji*, RG Krishnan Genes, Chromosomes and Cancer 62 (9), 540-556, 2023 | 26 | 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 | 25 | 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 |
| SYSTEMS AND METHODS FOR EVALUATION OF MITOTIC EVENTS USING MACHINE-LEARNING A Verma, C Eng, S Bettigole, R Gopalkrishnan, K Severson, N Fusi, ... 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, 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 |
Rahul G. KrishnanUniversity of TorontoVerified email at cs.toronto.edu