Linjian Ma

According to our database, Linjian Ma authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference.

Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu

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

CoRR, 2024

Leveraging the Human Ventral Visual Stream to Improve Neural Network Robustness.

Zhenan Shao, Linjian Ma, Bo Li, Diane M. Beck

CoRR, 2024

2023

MVARN: Multi-view Attention Relation Network for Figure Question Answering.

Yingdong Wang, Qingfeng Wu, Weiqiang Lin, Linjian Ma, Ying Li

Proceedings of the Knowledge Science, Engineering and Management, 2023

TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot.

Shan Cao, Qingfeng Wu, Linjian Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Accelerating alternating least squares for tensor decomposition by pairwise perturbation.

Linjian Ma, Edgar Solomonik

Numer. Linear Algebra Appl., 2022

Low rank approximation in simulations of quantum algorithms.

Linjian Ma, Chao Yang

J. Comput. Sci., 2022

Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs.

Linjian Ma, Edgar Solomonik

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models.

Zhewei Yao, Linjian Ma, Sheng Shen, Kurt Keutzer, Michael W. Mahoney

CoRR, 2021

Low Rank Approximation in Simulations of Quantum Algorithms.

Linjian Ma, Chao Yang

CoRR, 2021

Fast and accurate randomized algorithms for low-rank tensor decompositions.

Linjian Ma, Edgar Solomonik

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree.

Linjian Ma, Edgar Solomonik

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT.

Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

AutoHOOT: Automatic High-Order Optimization for Tensors.

Linjian Ma, Jiayu Ye, Edgar Solomonik

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

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