Approximation algorithms for homogeneous polynomial optimization with quadratic constraints. - Simai He; Zhening Li; Shuzhong Zhang (Math. Program., 2010)

Maximum Block Improvement and Polynomial Optimization. - Bilian Chen; Simai He; Zhening Li; Shuzhong Zhang (SIAM J. Optim., 2012)

Approximation methods for complex polynomial optimization. - Bo Jiang 007; Zhening Li; Shuzhong Zhang (Comput. Optim. Appl., 2014)

Probability Bounds for Polynomial Functions in Random Variables. - Simai He; Bo Jiang 007; Zhening Li; Shuzhong Zhang (Math. Oper. Res., 2014)

Moments Tensors, Hilbert's Identity, and k-wise Uncorrelated Random Variables. - Bo Jiang 007; Simai He; Zhening Li; Shuzhong Zhang (Math. Oper. Res., 2014)

On optimal low rank Tucker approximation for tensors: the case for an adjustable core size. - Bilian Chen; Zhening Li; Shuzhong Zhang (J. Glob. Optim., 2015)

Inhomogeneous polynomial optimization over a convex set: An approximation approach. - Simai He; Zhening Li; Shuzhong Zhang (Math. Comput., 2015)

On Convergence of the Maximum Block Improvement Method. - Zhening Li; André Uschmajew; Shuzhong Zhang (SIAM J. Optim., 2015)

Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations. - Bo Jiang 007; Zhening Li; Shuzhong Zhang (SIAM J. Matrix Anal. Appl., 2016)

Bounds on the Spectral Norm and the Nuclear Norm of a Tensor Based on Tensor Partitions. - Zhening Li (SIAM J. Matrix Anal. Appl., 2016)

On Cones of Nonnegative Quartic Forms. - Bo Jiang 007; Zhening Li; Shuzhong Zhang (Found. Comput. Math., 2017)

On New Classes of Nonnegative Symmetric Tensors. - Bilian Chen; Simai He; Zhening Li; Shuzhong Zhang (SIAM J. Optim., 2017)

Approximation algorithms for optimization of real-valued general conjugate complex forms. - Taoran Fu; Bo Jiang 007; Zhening Li (J. Glob. Optim., 2018)

On Orthogonal Tensors and Best Rank-One Approximation Ratio. - Zhening Li; Yuji Nakatsukasa; Tasuku Soma; André Uschmajew (SIAM J. Matrix Anal. Appl., 2018)

On the tensor spectral p-norm and its dual norm via partitions. - Bilian Chen; Zhening Li (Comput. Optim. Appl., 2020)

LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions. - Zhening Li; Gabriel Poesia; Omar Costilla-Reyes; Noah D. Goodman; Armando Solar-Lezama (CoRR, 2022)

Predictive Chemistry Augmented with Text Retrieval. - Yujie Qian; Zhening Li; Zhengkai Tu; Connor W. Coley; Regina Barzilay (EMNLP, 2023)

Unsupervised Feature Selection via Graph Regularized Nonnegative CP Decomposition. - Bilian Chen; Jiewen Guan; Zhening Li (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation. - Yujie Qian; Jiang Guo; Zhengkai Tu; Zhening Li; Connor W. Coley; Regina Barzilay (J. Chem. Inf. Model., 2023)

Extreme Ratio Between Spectral and Frobenius Norms of Nonnegative Tensors. - Shengyu Cao; Simai He; Zhening Li; Zhen Wang 049 (SIAM J. Matrix Anal. Appl., 2023)

Approximating Tensor Norms via Sphere Covering: Bridging the Gap between Primal and Dual. - Simai He; Haodong Hu; Bo Jiang 007; Zhening Li (SIAM J. Optim., 2023)

Robust Feature Extraction via ℓ∞-Norm Based Nonnegative Tucker Decomposition. - Bilian Chen; Jiewen Guan; Zhening Li; Zhehao Zhou (IEEE Trans. Circuits Syst. Video Technol., 2023)

When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions. - Zhening Li; Gabriel Poesia; Armando Solar-Lezama (ICML, 2024)

On Spectral and Nuclear Norms of Order Three Tensors with One Fixed Dimension. - Haodong Hu; Bo Jiang 007; Zhening Li (SIAM J. Matrix Anal. Appl., 2025)