Linjian Ma

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Tensor Decomposition

Visual Attributes

Randomized Algorithms

Low Rank Approximation

Top Venues

Publications

Linjian Ma, Matthew Fishman, Edwin Miles Stoudenmire, Edgar Solomonik
Approximate Contraction of Arbitrary Tensor Networks with a Flexible and Efficient Density Matrix Algorithm. CoRR (2024)
Zhenan Shao, Linjian Ma, Bo Li, Diane M. Beck
Leveraging the Human Ventral Visual Stream to Improve Neural Network Robustness. CoRR (2024)
Shan Cao, Qingfeng Wu, Linjian Ma
TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot. BIBM (2023)
Yingdong Wang, Qingfeng Wu, Weiqiang Lin, Linjian Ma, Ying Li
MVARN: Multi-view Attention Relation Network for Figure Question Answering. KSEM (3) (2023)
Linjian Ma, Chao Yang
Low rank approximation in simulations of quantum algorithms. J. Comput. Sci. 59 (2022)
Linjian Ma, Edgar Solomonik
Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs. NeurIPS (2022)
Linjian Ma, Edgar Solomonik
Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured Inputs. CoRR (2022)
Linjian Ma, Edgar Solomonik
Accelerating alternating least squares for tensor decomposition by pairwise perturbation. Numer. Linear Algebra Appl. 29 (4) (2022)
Linjian Ma, Chao Yang
Low Rank Approximation in Simulations of Quantum Algorithms. CoRR (2021)
Linjian Ma, Edgar Solomonik
Fast and accurate randomized algorithms for low-rank tensor decompositions. NeurIPS (2021)
Navjot Singh, Linjian Ma, Hongru Yang, Edgar Solomonik
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CANDECOMC/PARAFAC Decomposition. SIAM J. Sci. Comput. 43 (4) (2021)
Linjian Ma, Edgar Solomonik
Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions. CoRR (2021)
Linjian Ma, Edgar Solomonik
Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree. IPDPS (2021)
Zhewei Yao, Linjian Ma, Sheng Shen, Kurt Keutzer, Michael W. Mahoney
MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models. CoRR (2021)
Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney
Inefficiency of K-FAC for Large Batch Size Training. AAAI (2020)
Linjian Ma, Jiayu Ye, Edgar Solomonik
AutoHOOT: Automatic High-Order Optimization for Tensors. CoRR (2020)
Linjian Ma, Jiayu Ye, Edgar Solomonik
AutoHOOT: Automatic High-Order Optimization for Tensors. PACT (2020)
Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. AAAI (2020)
Linjian Ma, Edgar Solomonik
Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree. CoRR (2020)
Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney
Inefficiency of K-FAC for Large Batch Size Training. CoRR (2019)
Navjot Singh, Linjian Ma, Hongru Yang, Edgar Solomonik
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition. CoRR (2019)
Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. CoRR (2019)
Linjian Ma, Edgar Solomonik
Accelerating Alternating Least Squares for Tensor Decomposition by Pairwise Perturbation. CoRR (2018)