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Linjian Ma
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2020 – today
- 2024
- [i13]Zhenan Shao, Linjian Ma, Bo Li, Diane M. Beck:
Leveraging the Human Ventral Visual Stream to Improve Neural Network Robustness. CoRR abs/2405.02564 (2024) - [i12]Linjian Ma, Matthew Fishman, Edwin Miles Stoudenmire, Edgar Solomonik:
Approximate Contraction of Arbitrary Tensor Networks with a Flexible and Efficient Density Matrix Algorithm. CoRR abs/2406.09769 (2024) - [i11]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:
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. CoRR abs/2410.00215 (2024) - 2023
- [c8]Shan Cao, Qingfeng Wu, Linjian Ma:
TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot. BIBM 2023: 4520-4526 - [c7]Yingdong Wang, Qingfeng Wu, Weiqiang Lin, Linjian Ma, Ying Li:
MVARN: Multi-view Attention Relation Network for Figure Question Answering. KSEM (3) 2023: 30-38 - 2022
- [j3]Linjian Ma, Chao Yang:
Low rank approximation in simulations of quantum algorithms. J. Comput. Sci. 59: 101561 (2022) - [j2]Linjian Ma, Edgar Solomonik:
Accelerating alternating least squares for tensor decomposition by pairwise perturbation. Numer. Linear Algebra Appl. 29(4) (2022) - [c6]Linjian Ma, Edgar Solomonik:
Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs. NeurIPS 2022 - [i10]Linjian Ma, Edgar Solomonik:
Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured Inputs. CoRR abs/2205.13163 (2022) - 2021
- [j1]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): C290-C311 (2021) - [c5]Linjian Ma, Edgar Solomonik:
Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree. IPDPS 2021: 412-421 - [c4]Linjian Ma, Edgar Solomonik:
Fast and accurate randomized algorithms for low-rank tensor decompositions. NeurIPS 2021: 24299-24312 - [i9]Linjian Ma, Edgar Solomonik:
Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions. CoRR abs/2104.01101 (2021) - [i8]Linjian Ma, Chao Yang:
Low Rank Approximation in Simulations of Quantum Algorithms. CoRR abs/2104.11396 (2021) - [i7]Zhewei Yao, Linjian Ma, Sheng Shen, Kurt Keutzer, Michael W. Mahoney:
MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models. CoRR abs/2105.14636 (2021) - 2020
- [c3]Linjian Ma, Jiayu Ye, Edgar Solomonik:
AutoHOOT: Automatic High-Order Optimization for Tensors. PACT 2020: 125-137 - [c2]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: 5053-5060 - [c1]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: 8815-8821 - [i6]Linjian Ma, Jiayu Ye, Edgar Solomonik:
AutoHOOT: Automatic High-Order Optimization for Tensors. CoRR abs/2005.04540 (2020) - [i5]Linjian Ma, Edgar Solomonik:
Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree. CoRR abs/2010.12056 (2020)
2010 – 2019
- 2019
- [i4]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 abs/1903.06237 (2019) - [i3]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 abs/1909.05840 (2019) - [i2]Navjot Singh, Linjian Ma, Hongru Yang, Edgar Solomonik:
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition. CoRR abs/1910.12331 (2019) - 2018
- [i1]Linjian Ma, Edgar Solomonik:
Accelerating Alternating Least Squares for Tensor Decomposition by Pairwise Perturbation. CoRR abs/1811.10573 (2018)
Coauthor Index
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last updated on 2024-11-08 20:30 CET by the dblp team
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