no code implementations • 7 Apr 2024 • Wenlong Liao, Fernando Porte-Agel, Jiannong Fang, Christian Rehtanz, Shouxiang Wang, Dechang Yang, Zhe Yang
Machine learning models have made significant progress in load forecasting, but their forecast accuracy is limited in cases where historical load data is scarce.
no code implementations • 25 Feb 2024 • Xiangdi Meng, Damai Dai, Weiyao Luo, Zhe Yang, Shaoxiang Wu, Xiaochen Wang, Peiyi Wang, Qingxiu Dong, Liang Chen, Zhifang Sui
Although LoRA fine-tuning is effective, there is still a performance gap compared to full fine-tuning, since its weight update is limited to low-rank matrices.
1 code implementation • 15 Jan 2024 • Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui
To mitigate the high inference latency stemming from autoregressive decoding in Large Language Models (LLMs), Speculative Decoding has emerged as a novel decoding paradigm for LLM inference.
no code implementations • 25 Dec 2023 • Wenlong Liao, Fernando Porte-Agel, Jiannong Fang, Birgitte Bak-Jensen, Zhe Yang, Gonghao Zhang
Deep neural networks (DNNs) are receiving increasing attention in wind power forecasting due to their ability to effectively capture complex patterns in wind data.
no code implementations • 7 Nov 2023 • Wenlong Liao, Benjamin Schäfer, Dalin Qin, Gonghao Zhang, Zhixian Wang, Zhe Yang
To reduce the heavy computational burden of reactive power optimization of distribution networks, machine learning models are receiving increasing attention.
no code implementations • 1 Nov 2023 • You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying WEI, Hong Qian, Qi Liu, Xiang Wang, Wai Kin, Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng
To tackle the challenges of computing resources and environmental impact of AI, Green Computing has become a hot research topic.
no code implementations • 28 Oct 2023 • Wenlong Liao, Fernando Porte-Agel, Jiannong Fang, Birgitte Bak-Jensen, Guangchun Ruan, Zhe Yang
Machine learning models (e. g., neural networks) achieve high accuracy in wind power forecasting, but they are usually regarded as black boxes that lack interpretability.
1 code implementation • 12 Oct 2023 • Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui
To assess the quality of weights in the absence of additional validation data, we design a masked self-prediction (MSP) score that exhibits a strong correlation with the final ICL performance.
1 code implementation • 13 Oct 2022 • Zhe Yang, Qingkai Fang, Yang Feng
How to achieve neural machine translation with limited parallel data?
Contrastive Learning Low-Resource Neural Machine Translation +2
no code implementations • 15 Nov 2021 • Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Kuangpu Liu
Accurate short-term solar and wind power predictions play an important role in the planning and operation of power systems.
no code implementations • 10 Nov 2021 • Jiaxin Li, Yan Ding, Weizhong Zhang, Yifan Zhao, Lingxi Guo, Zhe Yang
Augmented reality technology based on image registration is becoming increasingly popular for the convenience of pre-surgery preparation and medical education.
1 code implementation • 30 Aug 2021 • Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu
This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in aerial images.
no code implementations • 13 May 2021 • Hongpeng Guo, Shuochao Yao, Zhe Yang, Qian Zhou, Klara Nahrstedt
Video cameras are pervasively deployed in city scale for public good or community safety (i. e. traffic monitoring or suspected person tracking).
no code implementations • 5 May 2021 • Zhe Yang, Klara Nahrstedt, Hongpeng Guo, Qian Zhou
Based on this analysis, we propose a GPU scheduler, DeepRT, which provides latency guarantee to the requests while maintaining high overall system throughput.
no code implementations • 5 Feb 2021 • Wenlong Liao, Yusen Wang, Yuelong Wang, Kody Powell, Qi Liu, Zhe Yang
Scenario generations of cooling, heating, and power loads are of great significance for the economic operation and stability analysis of integrated energy systems.
no code implementations • CCL 2020 • Yuncong Li, Zhe Yang, Cunxiang Yin, Xu Pan, Lunan Cui, Qiang Huang, Ting Wei
Aspect-category sentiment analysis (ACSA) aims to predict the aspect categories mentioned in texts and their corresponding sentiment polarities.
3 code implementations • ICCV 2019 • Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang, Jianpeng Ma, Wei Xu
In this research, we propose CAMEL, a weakly supervised learning framework for histopathology image segmentation using only image-level labels.
1 code implementation • 10 Jun 2019 • Xiaoshuo Li, Tiezhu Yue, Xuanping Huang, Zhe Yang, Gang Xu
To solve these problems, we propose BAGS, an automatic homework grading system which can effectively locate and recognize handwritten answers.
no code implementations • CVPR 2013 • Zhe Yang, Zhiwei Xiong, Yueyi Zhang, Jiao Wang, Feng Wu
First, we propose an algorithm to design the patterns to carry more phase information without compromising the depth reconstruction from a single captured image as with Kinect.