no code implementations • 12 Apr 2024 • Siming Shan, Pengkai Wang, Song Chen, Jiaxu Liu, Chao Xu, Shengze Cai
The use of machine learning in fluid dynamics is becoming more common to expedite the computation when solving forward and inverse problems of partial differential equations.
no code implementations • 22 Dec 2023 • Qi Xu, Lijie Wang, Jing Wang, Song Chen, Lin Cheng, Yi Kang
In recent years, analog circuits have received extensive attention and are widely used in many emerging applications.
no code implementations • 19 Dec 2023 • Zihao Xuan, Song Chen, Yi Kang
Analog in-memory computing (AiMC) is an emerging technology that shows fantastic performance superiority for neural network acceleration.
no code implementations • 30 May 2023 • Junpeng Wang, Mengke Ge, Bo Ding, Qi Xu, Song Chen, Yi Kang
As one of the feasible processing-in-memory(PIM) architectures, 3D-stacked-DRAM-based PIM(DRAM-PIM) architecture enables large-capacity memory and low-cost memory access, which is a promising solution for DNN accelerators with better performance and energy efficiency.
1 code implementation • 24 May 2023 • Hao Chen, Haotian Zhang, Keyan Chen, Chenyao Zhou, Song Chen, Zhengxia Zou, Zhenwei Shi
Toward continuous cross-resolution CD, we propose scale-invariant learning to enforce the model consistently predicting HR results given synthesized samples of varying resolution differences.
no code implementations • 17 Apr 2023 • Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu
In this paper, we investigate a distributed aggregative optimization problem in a network, where each agent has its own local cost function which depends not only on the local state variable but also on an aggregated function of state variables from all agents.
no code implementations • 7 Apr 2023 • Jing Hao, Song Chen, Xiaodi Wang, Shumin Han
Pretraining on large-scale datasets can boost the performance of object detectors while the annotated datasets for object detection are hard to scale up due to the high labor cost.
no code implementations • 8 Mar 2023 • Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu
The vanilla fractional order gradient descent may oscillatively converge to a region around the global minimum instead of converging to the exact minimum point, or even diverge, in the case where the objective function is strongly convex.
no code implementations • 11 Dec 2022 • Bo Ding, Jinglei Huang, Junpeng Wang, Qi Xu, Song Chen, Yi Kang
To better solve the problems in the automation process of FPGA-PDRS and narrow the gap between algorithm and application, in this paper, we propose a complete workflow including three parts, pre-processing to generate the list of task modules candidate shapes according to the resources requirements, exploration process to search the solution of task modules partitioning, scheduling, and floorplanning, and post-optimization to improve the success rate of floorplan.
1 code implementation • IEEE Open Journal of Instrumentation and Measurement (Volume: 1) 2022 • Jie Lin, Song Chen, Enping Lin, Yu Yang
Deep learning neural network serves as a powerful tool for visual anomaly detection (AD) and fault diagnosis, attributed to its strong abstractive interpretation ability in the representation domain.
Ranked #53 on Anomaly Detection on MVTec AD
no code implementations • 27 Aug 2022 • Song Chen, Shengze Cai, Tehuan Chen, Chao Xu, Jian Chu
In this paper, we propose a novel nonlinear observer based on neural networks, called neural observer, for observation tasks of linear time-invariant (LTI) systems and uncertain nonlinear systems.
1 code implementation • 27 May 2022 • Hao Chen, Wenyuan Li, Song Chen, Zhenwei Shi
To achieve this, we obtain multiple points via class-balanced sampling on the overlapped area between views using the semantic mask.
1 code implementation • Findings (ACL) 2022 • Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao
Through further analysis of the ASR outputs, we find that in some cases the sentiment words, the key sentiment elements in the textual modality, are recognized as other words, which makes the sentiment of the text change and hurts the performance of multimodal sentiment models directly.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 15 Jan 2022 • Hao Chen, Yifan Zao, Liqin Liu, Song Chen, Zhenwei Shi
Here, we propose a semantic decoupled representation learning for RS image CD.
no code implementations • 4 Nov 2020 • Xun Yuan, Ke Hu, Song Chen
We design Gaussian loss for the training process of SobelNet to detect corner points as keypoints.