Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition. - Navjot Singh; Linjian Ma; Hongru Yang; Edgar Solomonik (CoRR, 2019)

AutoHOOT: Automatic High-Order Optimization for Tensors. - Linjian Ma; Jiayu Ye; Edgar Solomonik (PACT, 2020)

Inefficiency of K-FAC for Large Batch Size Training. - Linjian Ma; Gabe Montague; Jiayu Ye; Zhewei Yao; Amir Gholami; Kurt Keutzer; Michael W. Mahoney (AAAI, 2020)

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. - Sheng Shen 001; Zhen Dong 003; Jiayu Ye; Linjian Ma; Zhewei Yao; Amir Gholami; Michael W. Mahoney; Kurt Keutzer (AAAI, 2020)

Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree. - Linjian Ma; Edgar Solomonik (IPDPS, 2021)

Fast and accurate randomized algorithms for low-rank tensor decompositions. - Linjian Ma; Edgar Solomonik (NeurIPS, 2021)

Low Rank Approximation in Simulations of Quantum Algorithms. - Linjian Ma; Chao Yang (CoRR, 2021)

MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models. - Zhewei Yao; Linjian Ma; Sheng Shen 001; Kurt Keutzer; Michael W. Mahoney (CoRR, 2021)

Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CANDECOMC/PARAFAC Decomposition. - Navjot Singh; Linjian Ma; Hongru Yang; Edgar Solomonik (SIAM J. Sci. Comput., 2021)

Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs. - Linjian Ma; Edgar Solomonik (NeurIPS, 2022)

Low rank approximation in simulations of quantum algorithms. - Linjian Ma; Chao Yang 001 (J. Comput. Sci., 2022)

Accelerating alternating least squares for tensor decomposition by pairwise perturbation. - Linjian Ma; Edgar Solomonik (Numer. Linear Algebra Appl., 2022)

TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot. - Shan Cao; Qingfeng Wu; Linjian Ma (BIBM, 2023)

MVARN: Multi-view Attention Relation Network for Figure Question Answering. - Yingdong Wang; Qingfeng Wu; Weiqiang Lin; Linjian Ma; Ying Li (KSEM (3), 2023)

Leveraging the Human Ventral Visual Stream to Improve Neural Network Robustness. - Zhenan Shao; Linjian Ma; Bo Li; Diane M. Beck (CoRR, 2024)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 010; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; Jacob Kahn; et al. (CoRR, 2024)

Approximate Contraction of Arbitrary Tensor Networks with a Flexible and Efficient Density Matrix Algorithm. - Linjian Ma; Matthew Fishman; Edwin Miles Stoudenmire; Edgar Solomonik (Quantum, 2024)