Publications (16)
LEAP: Learnable Pruning for Transformer-based Models
Zhewei Yao, Xiaoxia Wu, Linjian Ma +4
Pruning is an effective method to reduce the memory footprint and computational cost associated with large natural language processing models. However, current pruning algorithms e…
TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot
Shan Cao, Qunsheng Ruan, Linjian Ma
Tongue segmentation serves as the primary step in automated TCM tongue diagnosis, which plays a significant role in the diagnostic results. Currently, numerous deep learning based…
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition
Navjot Singh, Linjian Ma, Hongru Yang +1
Alternating least squares is the most widely used algorithm for CP tensor decomposition. However, alternating least squares may exhibit slow or no convergence, especially when high…
Tensor Rank and Other Multipartite Entanglement Measures of Graph States
Louis Schatzki, Linjian Ma, Edgar Solomonik +1
Graph states play an important role in quantum information theory through their connection to measurement-based computing and error correction. Prior work has revealed elegant conn…
Approximate Contraction of Arbitrary Tensor Networks with a Flexible and Efficient Density Matrix Algorithm
Linjian Ma, Matthew Fishman, Miles Stoudenmire +1
Tensor network contractions are widely used in statistical physics, quantum computing, and computer science. We introduce a method to efficiently approximate tensor network contrac…
Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks
Zhenan Shao, Linjian Ma, Yiqing Zhou +4
Humans effortlessly navigate the dynamic visual world, yet deep neural networks (DNNs), despite excelling at many visual tasks, are surprisingly vulnerable to minor image perturbat…