Tao, Wei

14 publications

CVPRW 2024 Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation Tse-Wei Chen, Wei Tao, Dongyue Zhao, Kazuhiro Mima, Tadayuki Ito, Kinya Osa, Masami Kato

NeurIPS 2024 MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, Yu Cheng

AAAI 2024 On the Convergence of an Adaptive Momentum Method for Adversarial Attacks Sheng Long, Wei Tao, Shuohao Li, Jun Lei, Jun Zhang

IJCAI 2024 Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang, Zhisong Pan

CVPRW 2021 CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications Tse-Wei Chen, Deyu Wang, Wei Tao, Dongchao Wen, Lingxiao Yin, Tadayuki Ito, Kinya Osa, Masami Kato

AAAI 2021 Gradient Descent Averaging and Primal-Dual Averaging for Strongly Convex Optimization Wei Tao, Wei Li, Zhisong Pan, Qing Tao

ICLR 2021 The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-Ball Methods Wei Tao, Sheng Long, Gaowei Wu, Qing Tao

CVPRW 2020 BAMSProd: A Step Towards Generalizing the Adaptive Optimization Methods to Deep Binary Model Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato

ECCVW 2020 Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions Tse-Wei Chen, Wei Tao, Deyu Wang, Dongchao Wen, Kinya Osa, Masami Kato

ECCVW 2020 QuantNet: Learning to Quantize by Learning Within Fully Differentiable Framework Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato

CVPRW 2019 Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato

CVPRW 2019 DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato

CVPRW 2019 Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato

CVPRW 2018 IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision Hongxing Gao, Wei Tao, Dongchao Wen, Tse-Wei Chen, Kinya Osa, Masami Kato