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Zichang He
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Journal Articles
- 2024
- [j10]Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang, Hugo A. Loáiciga:
Tensor shape search for efficient compression of tensorized data and neural networks. Appl. Soft Comput. 149(Part A): 110987 (2024) - 2022
- [j9]Zichang He, Zheng Zhang:
PoBO: A Polynomial Bounding Method for Chance-Constrained Yield-Aware Optimization of Photonic ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4915-4926 (2022) - 2018
- [j8]Zichang He, Felix T. S. Chan, Wen Jiang:
A quantum framework for modelling subjectivity in multi-attribute group decision making. Comput. Ind. Eng. 124: 560-572 (2018) - [j7]Zichang He, Wen Jiang, Felix T. S. Chan:
Evidential Supplier Selection Based on Interval Data Fusion. Int. J. Fuzzy Syst. 20(4): 1159-1171 (2018) - [j6]Zichang He, Wen Jiang:
A new belief Markov chain model and its application in inventory prediction. Int. J. Prod. Res. 56(8): 2800-2817 (2018) - [j5]Zichang He, Wen Jiang:
An evidential Markov decision making model. Inf. Sci. 467: 357-372 (2018) - [j4]Zichang He, Wen Jiang:
An evidential dynamical model to predict the interference effect of categorization on decision making results. Knowl. Based Syst. 150: 139-149 (2018) - 2017
- [j3]Yongchuan Tang, Deyun Zhou, Zichang He, Shuai Xu:
An improved belief entropy-based uncertainty management approach for sensor data fusion. Int. J. Distributed Sens. Networks 13(7) (2017) - [j2]Yongchuan Tang, Deyun Zhou, Shuai Xu, Zichang He:
A Weighted Belief Entropy-Based Uncertainty Measure for Multi-Sensor Data Fusion. Sensors 17(4): 928 (2017) - [j1]Wen Jiang, Ying Cao, Lin Yang, Zichang He:
A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster-Shafer Evidence Theory. Sensors 17(9): 1972 (2017)
Conference and Workshop Papers
- 2023
- [c6]Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi:
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. DAC 2023: 1-6 - [c5]Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang:
Distributionally Robust Circuit Design Optimization under Variation Shifts. ICCAD 2023: 1-8 - 2022
- [c4]Zichang He, Bo Zhao, Zheng Zhang:
Active Sampling for Accelerated MRI with Low-Rank Tensors. EMBC 2022: 3024-3028 - [c3]Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro:
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. HPEC 2022: 1-8 - [c2]Sahil Gulania, Zichang He, Bo Peng, Niranjan Govind, Yuri Alexeev:
QuYBE - An Algebraic Compiler for Quantum Circuit Compression. SEC 2022: 406-410 - 2019
- [c1]Zichang He, Weilong Cui, Chunfeng Cui, Timothy Sherwood, Zheng Zhang:
Efficient Uncertainty Modeling for System Design via Mixed Integer Programming. ICCAD 2019: 1-8
Informal and Other Publications
- 2024
- [i17]Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia, Swamit Tannu:
Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion. CoRR abs/2405.10941 (2024) - 2023
- [i16]Zichang He, Ruslan Shaydulin, Shouvanik Chakrabarti, Dylan Herman, Changhao Li, Yue Sun, Marco Pistoia:
Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Portfolio Optimization. CoRR abs/2305.03857 (2023) - [i15]Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang:
Distributionally Robust Circuit Design Optimization under Variation Shifts. CoRR abs/2308.08111 (2023) - [i14]Zichang He, Bo Peng, Yuri Alexeev, Zheng Zhang:
Distributionally Robust Variational Quantum Algorithms with Shifted Noise. CoRR abs/2308.14935 (2023) - 2022
- [i13]Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang:
Tensor Shape Search for Optimum Data Compression. CoRR abs/2205.10651 (2022) - [i12]Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro:
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. CoRR abs/2209.02895 (2022) - [i11]Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi:
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. CoRR abs/2212.00661 (2022) - 2021
- [i10]Zichang He, Zheng Zhang:
High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression. CoRR abs/2103.17236 (2021) - 2020
- [i9]Zichang He, Zheng Zhang:
High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression. CoRR abs/2009.01993 (2020) - [i8]Zichang He, Bo Zhao, Zheng Zhang:
Active Sampling for Accelerated MRI with Low-Rank Tensors. CoRR abs/2012.12496 (2020) - 2019
- [i7]Zichang He, Weilong Cui, Chunfeng Cui, Timothy Sherwood, Zheng Zhang:
Efficient Uncertainty Modeling for System Design via Mixed Integer Programming. CoRR abs/1907.05700 (2019) - 2017
- [i6]Zichang He, Wen Jiang:
A new belief Markov chain model and its application in inventory prediction. CoRR abs/1703.01963 (2017) - [i5]Zichang He, Wen Jiang:
Evidential supplier selection based on interval data fusion. CoRR abs/1703.01971 (2017) - [i4]Zichang He, Wen Jiang:
A quantum dynamic belief decision making model. CoRR abs/1703.02386 (2017) - [i3]Zichang He, Wen Jiang:
A quantum dynamic belief model to explain the interference effects of categorization on decision making. CoRR abs/1703.02894 (2017) - [i2]Zichang He, Wen Jiang:
Quantum Mechanical Approach to Modelling Reliability of Sensor Reports. CoRR abs/1705.01013 (2017) - [i1]Zichang He, Wen Jiang:
An evidential Markov decision making model. CoRR abs/1705.06578 (2017)
Coauthor Index
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