Zhiwei Zhang

Orcid: 0000-0001-9990-324X

Affiliations:
  • JPMorgan Chase, Global Technology Applied Research, New York, NY, USA
  • Rice University, Department of Computer Science, Houston, TX, USA (PhD 2024)
  • Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China (2014 - 2018)


According to our database1, Zhiwei Zhang authored at least 14 papers between 2018 and 2025.

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Bibliography

2025
On Continuous Optimization for Constraint Satisfaction Problems.
CoRR, October, 2025

Thinking Out of the Box: Hybrid SAT Solving by Unconstrained Continuous Optimization.
CoRR, June, 2025

New Improvements in Solving Large LABS Instances Using Massively Parallelizable Memetic Tabu Search.
CoRR, April, 2025

Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Analysis of Higher-Order Ising Hamiltonians.
CoRR, 2024

2023
Solving Quantum-Inspired Perfect Matching Problems via Tutte's Theorem-Based Hybrid Boolean Constraints.
CoRR, 2023

Solving Quantum-Inspired Perfect Matching Problems via Tutte-Theorem-Based Hybrid Boolean Constraints.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Quantum-Inspired Perfect Matching under Vertex-Color Constraints.
CoRR, 2022

DPMS: An ADD-Based Symbolic Approach for Generalized MaxSAT Solving.
CoRR, 2022

2021
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs.
CoRR, 2021

Solving hybrid Boolean constraints in continuous space via multilinear Fourier expansions.
Artif. Intell., 2021

On Continuous Local BDD-Based Search for Hybrid SAT Solving.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Towards Answering Geography Questions in Gaokao: A Hybrid Approach.
Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018


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