Zichang He - RankMe

47 papers A* 3A 3Misc 2Journal 36Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Digital signatures with classical shadows on near-term quantum computers. CoRR Pradeep Niroula, Minzhao Liu, Sivaprasad Omanakuttan, David Amaro, Shouvanik Chakrabarti, Soumik Ghosh, Zichang He, Yuwei Jin, Fatih Kaleoglu, Steven Kordonowy, Rohan Kumar, Michael A. Perlin, Akshay Seshadri, Matthew Steinberg, Joseph Sullivan, Jacob Watkins, Henry Yuen, Ruslan Shaydulin
2026	J	`jnl`	The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples. CoRR Hsiang Hsu, Pradeep Niroula, Zichang He, Ivan Brugere, Freddy Lécué, Chun-Fu Chen
2025	J	`jnl`	Iceberg Beyond the Tip: Co-Compilation of a Quantum Error Detection Code and a Quantum Algorithm. CoRR Yuwei Jin, Zichang He, Tianyi Hao, David Amaro, Swamit Tannu, Ruslan Shaydulin, Marco Pistoia
2025	J	`jnl`	Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm. CoRR Anuj Apte, Shree Hari Sureshbabu, Ruslan Shaydulin, Sami Boulebnane, Zichang He, Dylan Herman, James Sud, Marco Pistoia
2025	J	`jnl`	Non-Variational Quantum Random Access Optimization with Alternating Operator Ansatz. CoRR Zichang He, Rudy Raymond, Ruslan Shaydulin, Marco Pistoia
2025	A*	`conf`	Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent. IJCAI Rudy Raymond, Zichang He
2024	J	`jnl`	End-to-End Protocol for High-Quality QAOA Parameters with Few Shots. CoRR Tianyi Hao, Zichang He, Ruslan Shaydulin, Jeffrey Larson, Marco Pistoia
2024	J	`jnl`	Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization. CoRR Shouvanik Chakrabarti, Dylan Herman, Guneykan Ozgul, Shuchen Zhu, Brandon Augustino, Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia
2024	A*	`conf`	Invited: Challenges and Opportunities of Quantum Optimization in Finance. DAC 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
2024	A	`conf`	Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era. ICCAD Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia
2024	J	`jnl`	Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era. CoRR Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia
2024	J	`jnl`	Performance of Quantum Approximate Optimization with Quantum Error Detection. CoRR Zichang He, David Amaro, Ruslan Shaydulin, Marco Pistoia
2024	J	`jnl`	Tensor shape search for efficient compression of tensorized data and neural networks. Appl. Soft Comput. Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang, Hugo A. Loáiciga
2024	Misc	`conf`	Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion. QCE Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia, Swamit Tannu
2024	J	`jnl`	Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion. CoRR Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia, Swamit Tannu
2023	J	`jnl`	Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Portfolio Optimization. CoRR Zichang He, Ruslan Shaydulin, Shouvanik Chakrabarti, Dylan Herman, Changhao Li, Yue Sun, Marco Pistoia
2023	A	`conf`	Distributionally Robust Circuit Design Optimization under Variation Shifts. ICCAD Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang
2023	J	`jnl`	Distributionally Robust Circuit Design Optimization under Variation Shifts. CoRR Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang
2023	J	`jnl`	Distributionally Robust Variational Quantum Algorithms with Shifted Noise. CoRR Zichang He, Bo Peng, Yuri Alexeev, Zheng Zhang
2023	A*	`conf`	Hybrid Gate-Pulse Model for Variational Quantum Algorithms. DAC Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi
2023	—	`—`	Uncertainty-Aware and Efficient Design Automation from Classical Circuit to Quantum Computing Zichang He
2022	—	`conf`	Active Sampling for Accelerated MRI with Low-Rank Tensors. EMBC Zichang He, Bo Zhao, Zheng Zhang
2022	—	`conf`	Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. HPEC Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro
2022	J	`jnl`	Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. CoRR Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro
2022	J	`jnl`	Hybrid Gate-Pulse Model for Variational Quantum Algorithms. CoRR Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi
2022	J	`jnl`	PoBO: A Polynomial Bounding Method for Chance-Constrained Yield-Aware Optimization of Photonic ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zichang He, Zheng Zhang
2022	Misc	`conf`	QuYBE - An Algebraic Compiler for Quantum Circuit Compression. SEC Sahil Gulania, Zichang He, Bo Peng, Niranjan Govind, Yuri Alexeev
2022	J	`jnl`	Tensor Shape Search for Optimum Data Compression. CoRR Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang
2021	J	`jnl`	High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression. CoRR Zichang He, Zheng Zhang
2020	J	`jnl`	Active Sampling for Accelerated MRI with Low-Rank Tensors. CoRR Zichang He, Bo Zhao, Zheng Zhang
2020	J	`jnl`	High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression. CoRR Zichang He, Zheng Zhang
2019	A	`conf`	Efficient Uncertainty Modeling for System Design via Mixed Integer Programming. ICCAD Zichang He, Weilong Cui, Chunfeng Cui, Timothy Sherwood, Zheng Zhang
2019	J	`jnl`	Efficient Uncertainty Modeling for System Design via Mixed Integer Programming. CoRR Zichang He, Weilong Cui, Chunfeng Cui, Timothy Sherwood, Zheng Zhang
2018	J	`jnl`	A new belief Markov chain model and its application in inventory prediction. Int. J. Prod. Res. Zichang He, Wen Jiang
2018	J	`jnl`	A quantum framework for modelling subjectivity in multi-attribute group decision making. Comput. Ind. Eng. Zichang He, Felix T. S. Chan, Wen Jiang
2018	J	`jnl`	An evidential Markov decision making model. Inf. Sci. Zichang He, Wen Jiang
2018	J	`jnl`	An evidential dynamical model to predict the interference effect of categorization on decision making results. Knowl. Based Syst. Zichang He, Wen Jiang
2018	J	`jnl`	Evidential Supplier Selection Based on Interval Data Fusion. Int. J. Fuzzy Syst. Zichang He, Wen Jiang, Felix T. S. Chan
2017	J	`jnl`	A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster-Shafer Evidence Theory. Sensors Wen Jiang, Ying Cao, Lin Yang, Zichang He
2017	J	`jnl`	A Weighted Belief Entropy-Based Uncertainty Measure for Multi-Sensor Data Fusion. Sensors Yongchuan Tang, Deyun Zhou, Shuai Xu, Zichang He
2017	J	`jnl`	A new belief Markov chain model and its application in inventory prediction. CoRR Zichang He, Wen Jiang
2017	J	`jnl`	A quantum dynamic belief decision making model. CoRR Zichang He, Wen Jiang
2017	J	`jnl`	A quantum dynamic belief model to explain the interference effects of categorization on decision making. CoRR Zichang He, Wen Jiang
2017	J	`jnl`	An evidential Markov decision making model. CoRR Zichang He, Wen Jiang
2017	J	`jnl`	An improved belief entropy-based uncertainty management approach for sensor data fusion. Int. J. Distributed Sens. Networks Yongchuan Tang, Deyun Zhou, Zichang He, Shuai Xu
2017	J	`jnl`	Evidential supplier selection based on interval data fusion. CoRR Zichang He, Wen Jiang
2017	J	`jnl`	Quantum Mechanical Approach to Modelling Reliability of Sensor Reports. CoRR Zichang He, Wen Jiang