| An evidential dynamical model to predict the interference effect of categorization on decision making results Z He, W Jiang Knowledge-Based Systems 150, 139-149, 2018 | 120 | 2018 |
| A weighted belief entropy-based uncertainty measure for multi-sensor data fusion Y Tang, D Zhou, S Xu, Z He Sensors 17 (4), 928, 2017 | 93 | 2017 |
| An evidential Markov decision making model Z He, W Jiang Information Sciences 467, 357-372, 2018 | 90 | 2018 |
| A new belief Markov chain model and its application in inventory prediction Z He, W Jiang International Journal of Production Research 56 (8), 2800-2817, 2018 | 43 | 2018 |
| A quantum framework for modelling subjectivity in multi-attribute group decision making Z He, FTS Chan, W Jiang Computers & Industrial Engineering 124, 560-572, 2018 | 34 | 2018 |
| Hybrid gate-pulse model for variational quantum algorithms Z Liang, Z Song, J Cheng, Z He, J Liu, H Wang, R Qin, Y Wang, S Han, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 21 | 2023 |
| High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling Z He, Z Zhang IEEE Transactions on Components, Packaging and Manufacturing Technology, 2021 | 21 | 2021 |
| Alignment between initial state and mixer improves QAOA performance for constrained optimization Z He, R Shaydulin, S Chakrabarti, D Herman, C Li, Y Sun, M Pistoia npj Quantum Information 9 (1), 121, 2023 | 20* | 2023 |
| An improved belief entropy–based uncertainty management approach for sensor data fusion Y Tang, D Zhou, Z He, S Xu International Journal of Distributed Sensor Networks 13 (7), 1550147717718497, 2017 | 20 | 2017 |
| A time-space domain information fusion method for specific emitter identification based on Dempster–Shafer evidence theory W Jiang, Y Cao, L Yang, Z He Sensors 17 (9), 1972, 2017 | 19 | 2017 |
| Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation C Ibrahim, D Lykov, Z He, Y Alexeev, I Safro (Best Student Paper Award) 2022 IEEE High Performance Extreme Computing …, 2022 | 18 | 2022 |
| Evidential supplier selection based on interval data fusion Z He, W Jiang, FTS Chan International Journal of Fuzzy Systems 20, 1159-1171, 2018 | 11 | 2018 |
| Quantum mechanical approach to modeling reliability of sensor reports Z He, W Jiang IEEE Sensors Letters 1 (4), 1-4, 2017 | 11 | 2017 |
| High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression Z He, Z Zhang (Best Student Paper Award) IEEE Conference on Electrical Performance of …, 2020 | 10 | 2020 |
| Active sampling for accelerated MRI with low-rank tensors Z He, B Zhao, Z Zhang 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 8 | 2022 |
| Efficient uncertainty modeling for system design via mixed integer programming Z He, W Cui, C Cui, T Sherwood, Z Zhang ACM/IEEE International Conference on Computer Aided Design, 8 pages, 2019 | 8 | 2019 |
| Distributionally robust variational quantum algorithms with shifted noise Z He, B Peng, Y Alexeev, Z Zhang IEEE Transactions on Quantum Engineering, 2024 | 7 | 2024 |
| QuYBE-an algebraic compiler for quantum circuit compression S Gulania, Z He, B Peng, N Govind, Y Alexeev 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 406-410, 2022 | 4 | 2022 |
| Progress of tensor-based high-dimensional uncertainty quantification of process variations Z He, Z Zhang 2021 International Applied Computational Electromagnetics Society Symposium …, 2021 | 4 | 2021 |
| PoBO: A Polynomial Bounding Method for Chance-Constrained Yield-Aware Optimization of Photonic ICs Z He, Z Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 4 | 2021 |
Zheng ZhangAssociate Professor of ECE, UCSBVerified email at ece.ucsb.edu
