no code implementations • WMT (EMNLP) 2020 • Yuhao Zhang, Ziyang Wang, Runzhe Cao, Binghao Wei, Weiqiao Shan, Shuhan Zhou, Abudurexiti Reheman, Tao Zhou, Xin Zeng, Laohu Wang, Yongyu Mu, Jingnan Zhang, Xiaoqian Liu, Xuanjun Zhou, Yinqiao Li, Bei Li, Tong Xiao, Jingbo Zhu
This paper describes NiuTrans neural machine translation systems of the WMT20 news translation tasks.
no code implementations • 20 Feb 2024 • Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng Ann Heng, Guangyong Chen
The proposed approach marks a significant advancement in automating chemical literature extraction and demonstrates the potential for AI to revolutionize data management and utilization in chemistry.
no code implementations • 11 Jan 2024 • Bo Chen, Xingyi Cheng, Pan Li, Yangli-ao Geng, Jing Gong, Shen Li, Zhilei Bei, Xu Tan, Boyan Wang, Xin Zeng, Chiming Liu, Aohan Zeng, Yuxiao Dong, Jie Tang, Le Song
We propose a unified protein language model, xTrimoPGLM, to address these two types of tasks simultaneously through an innovative pre-training framework.
no code implementations • NeurIPS 2023 • Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
Advances in high-throughput sequencing technology have led to significant progress in measuring gene expressions at the single-cell level.
no code implementations • 19 Oct 2023 • Xin Zeng, Xiaoyu Wang, Tengxiang Zhang, Chun Yu, Shengdong Zhao, Yiqiang Chen
Current gesture recognition systems primarily focus on identifying gestures within a predefined set, leaving a gap in connecting these gestures to interactive GUI elements or system functions (e. g., linking a 'thumb-up' gesture to a 'like' button).
1 code implementation • 27 May 2023 • Chen Xu, Yuhao Zhang, Chengbo Jiao, Xiaoqian Liu, Chi Hu, Xin Zeng, Tong Xiao, Anxiang Ma, Huizhen Wang, Jingbo Zhu
While Transformer has become the de-facto standard for speech, modeling upon the fine-grained frame-level features remains an open challenge of capturing long-distance dependencies and distributing the attention weights.
2 code implementations • Genome Biology 2022 • Junru Jin, Yingying Yu, Ruheng Wang, Xin Zeng, Chao Pang, Yi Jiang, Zhongshen Li, Yutong Dai, Ran Su, Quan Zou, Kenta Nakai, Leyi Wei
In this study, we propose iDNA-ABF, a multi-scale deep biological language learning model that enables the interpretable prediction of DNA methylations based on genomic sequences only.
1 code implementation • ACL 2022 • Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang
Inspired by this, we design a new architecture, {\it ODE Transformer}, which is analogous to the Runge-Kutta method that is well motivated in ODE.
no code implementations • 6 Apr 2021 • Bei Li, Quan Du, Tao Zhou, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu
We show that a residual block of layers in Transformer can be described as a higher-order solution to ODEs.
no code implementations • 17 Feb 2021 • Dachuan Zhang, Haoyang Zhang, Zhisheng Wei, Yan Li, Zhiheng Mao, Chunmeng He, Haorui Ma, Xin Zeng, Xiaoling Xie, Xingran Kou, Bingwen Zhang
The Internet contains a wealth of public opinion on food safety, including views on food adulteration, food-borne diseases, agricultural pollution, irregular food distribution, and food production issues.
no code implementations • 15 Oct 2018 • Tairan Liu, Kevin De Haan, Yair Rivenson, Zhensong Wei, Xin Zeng, Yibo Zhang, Aydogan Ozcan
We present a deep learning framework based on a generative adversarial network (GAN) to perform super-resolution in coherent imaging systems.