Zichang He

According to our database, Zichang He authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tensor shape search for efficient compression of tensorized data and neural networks.

Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang, Hugo A. Loáiciga

Appl. Soft Comput., December, 2024

Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization.

Shouvanik Chakrabarti, Dylan Herman, Guneykan Ozgul, Shuchen Zhu, Brandon Augustino, Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia

CoRR, 2024

Performance of Quantum Approximate Optimization with Quantum Error Detection.

Zichang He, David Amaro, Ruslan Shaydulin, Marco Pistoia

CoRR, 2024

Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era.

Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia

CoRR, 2024

End-to-End Protocol for High-Quality QAOA Parameters with Few Shots.

Tianyi Hao, Zichang He, Ruslan Shaydulin, Jeffrey Larson, Marco Pistoia

CoRR, 2024

Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion.

Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia, Swamit Tannu

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Invited: Challenges and Opportunities of Quantum Optimization in Finance.

Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, Marco Pistoia

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Uncertainty-Aware and Efficient Design Automation from Classical Circuit to Quantum Computing

Zichang He

PhD thesis, 2023

Distributionally Robust Variational Quantum Algorithms with Shifted Noise.

Zichang He, Bo Peng, Yuri Alexeev, Zheng Zhang

CoRR, 2023

Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Portfolio Optimization.

Zichang He, Ruslan Shaydulin, Shouvanik Chakrabarti, Dylan Herman, Changhao Li, Yue Sun, Marco Pistoia

CoRR, 2023

Distributionally Robust Circuit Design Optimization under Variation Shifts.

Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Hybrid Gate-Pulse Model for Variational Quantum Algorithms.

Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

PoBO: A Polynomial Bounding Method for Chance-Constrained Yield-Aware Optimization of Photonic ICs.

Zichang He, Zheng Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Tensor Shape Search for Optimum Data Compression.

Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang

CoRR, 2022

QuYBE - An Algebraic Compiler for Quantum Circuit Compression.

Sahil Gulania, Zichang He, Bo Peng, Niranjan Govind, Yuri Alexeev

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation.

Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Active Sampling for Accelerated MRI with Low-Rank Tensors.

Zichang He, Bo Zhao, Zheng Zhang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression.

Zichang He, Zheng Zhang

CoRR, 2021

2020

High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression.

Zichang He, Zheng Zhang

CoRR, 2020

2019

Efficient Uncertainty Modeling for System Design via Mixed Integer Programming.

Zichang He, Weilong Cui, Chunfeng Cui, Timothy Sherwood, Zheng Zhang

Proceedings of the International Conference on Computer-Aided Design, 2019

2018

An evidential dynamical model to predict the interference effect of categorization on decision making results.

Zichang He, Wen Jiang

Knowl. Based Syst., 2018

An evidential Markov decision making model.

Zichang He, Wen Jiang

Inf. Sci., 2018

A new belief Markov chain model and its application in inventory prediction.

Zichang He, Wen Jiang

Int. J. Prod. Res., 2018

Evidential Supplier Selection Based on Interval Data Fusion.

Zichang He, Wen Jiang, Felix T. S. Chan

Int. J. Fuzzy Syst., 2018

A quantum framework for modelling subjectivity in multi-attribute group decision making.

Zichang He, Felix T. S. Chan, Wen Jiang

Comput. Ind. Eng., 2018

2017

A Weighted Belief Entropy-Based Uncertainty Measure for Multi-Sensor Data Fusion.

Yongchuan Tang, Deyun Zhou, Shuai Xu, Zichang He

Sensors, 2017

A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster-Shafer Evidence Theory.

Wen Jiang, Ying Cao, Lin Yang, Zichang He

Sensors, 2017

An improved belief entropy-based uncertainty management approach for sensor data fusion.

Yongchuan Tang, Deyun Zhou, Zichang He, Shuai Xu

Int. J. Distributed Sens. Networks, 2017

Quantum Mechanical Approach to Modelling Reliability of Sensor Reports.

Zichang He, Wen Jiang

CoRR, 2017

A quantum dynamic belief model to explain the interference effects of categorization on decision making.

Zichang He, Wen Jiang

CoRR, 2017

A quantum dynamic belief decision making model.

Zichang He, Wen Jiang

CoRR, 2017

Evidential supplier selection based on interval data fusion.

Zichang He, Wen Jiang

CoRR, 2017