Continual Learning for Smart City: A Survey

no code implementations • 1 Apr 2024 • Li Yang, Zhipeng Luo, Shiming Zhang, Fei Teng, Tianrui Li

We believe this survey can help relevant researchers quickly familiarize themselves with the current state of continual learning research used in smart city development and direct them to future research trends.

Continual Learning Federated Learning +1

A Survey of Route Recommendations: Methods, Applications, and Opportunities

no code implementations • 1 Mar 2024 • Shiming Zhang, Zhipeng Luo, Li Yang, Fei Teng, Tianrui Li

Our survey offers a comprehensive review of route recommendation work based on urban computing.

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

1 code implementation • 6 Feb 2024 • Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi

Pretrained large language models (LLMs) exhibit exceptional general language processing capabilities but come with significant demands on memory and computational resources.

Binarization Quantization

Pruning random resistive memory for optimizing analogue AI

no code implementations • 13 Nov 2023 • Yi Li, Songqi Wang, Yaping Zhao, Shaocong Wang, Woyu Zhang, Yangu He, Ning Lin, Binbin Cui, Xi Chen, Shiming Zhang, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Zhongrui Wang, Xiaoxin Xu, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

Here, we report a universal solution, software-hardware co-design using structural plasticity-inspired edge pruning to optimize the topology of a randomly weighted analogue resistive memory neural network.

Audio Classification Image Segmentation +1

Deep Learning in Ultrasound Elastography Imaging

no code implementations • 14 Oct 2020 • Hongliang Li, Manish Bhatt, Zhen Qu, Shiming Zhang, Martin C. Hartel, Ali Khademhosseini, Guy Cloutier

It is known that changes in the mechanical properties of tissues are associated with the onset and progression of certain diseases.