no code implementations • CCL 2020 • Anwar Azmat, Li Xiao, Yang Yating, Dong Rui, Osman Turghun
Although named entity recognition achieved great success by introducing the neural networks, it is challenging to apply these models to low resource languages including Uyghur while it depends on a large amount of annotated training data.
no code implementations • COLING 2022 • Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao
To reduce the workload of radiologists, we propose DeltaNet to generate medical reports automatically.
no code implementations • 5 Oct 2024 • Jia Zhang, Peng Qi, Li Xiao, Mengxi Yuan, Jun Chuan, Yaling Zeng, Li-mei Lin, Yue Gu, Yan Zhang, Duan-fang Liao, Kai Li
Sensitive and reliable methylation assay is important for oncogentic studies and clinical applications.
no code implementations • 23 Aug 2024 • Jia Zhang, Li Xiao, Peng Qi, Yaling Zeng, Xumeng Chen, Duan-fang Liao, Kai Li
Hi-C sequencing is widely used for analyzing chromosomal interactions.
no code implementations • 28 May 2024 • Hongjun Wu, Li Xiao, Xingkuo Zhang, Yining Miao
Motivated by this, we propose a Low-Frequency Components-based Contrastive Knowledge Distillation (LFCC) framework that significantly enhances the performance of feature-based distillation between heterogeneous architectures.
no code implementations • 14 May 2024 • Wei Wang, Zhaowei Li, Qi Xu, Yiqing Cai, Hang Song, Qi Qi, Ran Zhou, Zhida Huang, Tao Wang, Li Xiao
For negative knowledge, we propose an innovative self-adversarial approach that generates low-quality rationales by sampling previous iterations of smaller language models, embracing the idea that one can learn from one's own weaknesses.
no code implementations • 12 Mar 2024 • Yiran Wang, Li Xiao
It has been shown that traditional deep learning methods for electronic microscopy segmentation usually suffer from low transferability when samples and annotations are limited, while large-scale vision foundation models are more robust when transferring between different domains but facing sub-optimal improvement under fine-tuning.
no code implementations • 18 Jan 2024 • Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang
Functional connectivity (FC) as derived from fMRI has emerged as a pivotal tool in elucidating the intricacies of various psychiatric disorders and delineating the neural pathways that underpin cognitive and behavioral dynamics inherent to the human brain.
no code implementations • 20 Nov 2023 • Li Xiao, Haiye Huo, Xiang-Gen Xia
To address this problem, a robust MD Chinese remainder theorem (CRT) was recently proposed for a special class of moduli, where the remaining integer matrices left-divided by a greatest common left divisor (gcld) of all the moduli are pairwise commutative and coprime.
no code implementations • 4 Nov 2023 • Yanyu Chen, Yao Yao, Wai Kin Victor Chan, Li Xiao, Kai Zhang, Liang Zhang, Yun Ye
In this paper, we present a scalable and efficient paradigm to address data sparsity and cold-start issues in CDR, named CDR-Adapter, by decoupling the original recommendation model from the mapping function, without requiring re-engineering the network structure.
no code implementations • 13 Sep 2023 • Hanqing Guo, Guangjing Wang, Yuanda Wang, Bocheng Chen, Qiben Yan, Li Xiao
We significantly enhance the query efficiency and reduce the cost of a successful untargeted and targeted adversarial attack by 93. 1% and 65. 5% compared with the state-of-the-art black-box attacks, using merely ~300 queries (~5 minutes) and ~1, 500 queries (~25 minutes), respectively.
no code implementations • 13 Sep 2023 • Hanqing Guo, Xun Chen, Junfeng Guo, Li Xiao, Qiben Yan
In this work, we propose a backdoor attack MASTERKEY, to compromise the SV models.
no code implementations • 9 Apr 2023 • Yinhao Li, Jinrong Yang, Jianjian Sun, Han Bao, Zheng Ge, Li Xiao
Bounded by the inherent ambiguity of depth perception, contemporary multi-view 3D object detection methods fall into the performance bottleneck.
1 code implementation • 12 Nov 2022 • Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao
To reduce the workload of radiologists, we propose DeltaNet to generate medical reports automatically.
1 code implementation • 27 Oct 2022 • Jingyi Li, Weiping tu, Li Xiao
Voice conversion (VC) can be achieved by first extracting source content information and target speaker information, and then reconstructing waveform with these information.
no code implementations • 17 Aug 2022 • Xinyi Yi, Ye Guo, Hongbin Sun, Qiuwei Wu, Li Xiao
The problem of heat and electricity pricing in combined heat and power systems regarding the time scales of electricity and heat, as well as thermal energy quality, is studied.
no code implementations • 8 Aug 2022 • Zhihong Huang, Ye Guo, Qiuwei Wu, Li Xiao, Hongbin Sun
With the introduction of the inventory mechanism of REC and CER, the profit of the VPP increases and better trading decisions with multiple markets are made under the requirements of renewable portfolio standard (RPS) and carbon emission (CE) quota requirements.
no code implementations • 28 May 2022 • Hanqing Guo, Qiben Yan, Nikolay Ivanov, Ying Zhu, Li Xiao, Eric J. Hunter
Our evaluation shows that SUPERVOICE achieves 0. 58% equal error rate in the speaker verification task, it only takes 120 ms for testing an incoming utterance, outperforming all existing speaker verification systems.
no code implementations • 6 Apr 2022 • Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He
In this work, we propose a novel network structure that combines CNN and Transformer for the segmentation of COVID-19 lesions.
1 code implementation • 1 Apr 2022 • Yao Yao, Bin Liu, Haoxun He, Dakui Sheng, Ke Wang, Li Xiao, Huanhuan Cao
Noisy features and inappropriate embedding dimension assignments can deteriorate the performance of recommender systems and introduce unnecessary complexity in model training and online serving.
no code implementations • 4 Mar 2022 • Pengbo Liu, Xia Wang, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, Dandan Du, Xiaoying Zhao, Li Xiao, Lian Ding, Xingwang Wu, S. Kevin Zhou
In each incremental learning (IL) stage, we lose the access to previous data and annotations, whose knowledge is assumingly captured by the current model, and gain the access to a new dataset with annotations of new organ categories, from which we learn to update the organ segmentation model to include the new organs.
1 code implementation • 17 Feb 2022 • Yao Yao, Junyi Shen, Jin Xu, Bin Zhong, Li Xiao
Based on FixMatch, where a pseudo label is generated from a weakly-augmented sample to teach the prediction on a strong augmentation of the same input sample, CLS allows the creation of both pseudo and complementary labels to support both positive and negative learning.
no code implementations • 30 Dec 2021 • Shuxin Yang, Xian Wu, Shen Ge, S. Kevin Zhou, Li Xiao
In clinics, a radiology report is crucial for guiding a patient's treatment.
no code implementations • 30 Dec 2021 • Shuxin Yang, Xian Wu, Shen Ge, Shaohua Kevin Zhou, Li Xiao
In this paper, we propose a knowledge-enhanced radiology report generation approach introduces two types of medical knowledge: 1) General knowledge, which is input independent and provides the broad knowledge for report generation; 2) Specific knowledge, which is input dependent and provides the fine-grained knowledge for report generation.
1 code implementation • 6 Jul 2021 • Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo
However, the optimal control of autonomous greenhouses is challenging, requiring decision-making based on high-dimensional sensory data, and the scaling of production is limited by the scarcity of labor capable of handling this task.
1 code implementation • 5 Jul 2021 • Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo
Model-based deep reinforcement learning has achieved success in various domains that require high sample efficiencies, such as Go and robotics.
no code implementations • 16 Jun 2021 • Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
The encoder can automatically construct the population graph using phenotypic measures which have a positive impact on the final results, and further realizes the fusion of multimodal information.
no code implementations • 20 Mar 2021 • Li Xiao, Yinhao Li, Luxi Qv, Xinxia Tian, Yijie Peng, S. Kevin Zhou
Segmentation of pathological images is essential for accurate disease diagnosis.
no code implementations • 8 Mar 2021 • Pengbo Liu, Li Xiao, S. Kevin Zhou
In each IL stage, we lose access to the previous annotations, whose knowledge is assumingly captured by the current model, and gain the access to a new dataset with annotations of new organ categories, from which we learn to update the organ segmentation model to include the new organs.
2 code implementations • 8 Mar 2021 • Qingsong Yao, Quan Quan, Li Xiao, S. Kevin Zhou
The success of deep learning methods relies on the availability of a large number of datasets with annotations; however, curating such datasets is burdensome, especially for medical images.
2 code implementations • 8 Mar 2021 • Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou
However, all of those methods are unary in the sense that a highly specialized network is trained for a single task say associated with a particular anatomical region.
1 code implementation • 6 Feb 2021 • Li Xiao, Zeliang Zhang, Yijie Peng
Adding noises to artificial neural network(ANN) has been shown to be able to improve robustness in previous work.
no code implementations • 20 Jan 2021 • Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Methods: To take advantage of complementary information from multi-modal fMRI, we propose an interpretable multi-modal graph convolutional network (MGCN) model, incorporating the fMRI time series and the functional connectivity (FC) between each pair of brain regions.
1 code implementation • 16 Dec 2020 • Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou
Due to the lack of a large-scale pelvic CT dataset with annotations, deep learning methods are not fully explored.
no code implementations • 14 Nov 2020 • Yufan Luo, Li Xiao
By comparing the performance between the original Faster R-CNN and that with partially separated feature maps, we show that: (1) Sharing high-level features for the classification and localization tasks is sub-optimal; (2) Large stride is beneficial for classification but harmful for localization; (3) Global context information could improve the performance of classification.
no code implementations • 30 Sep 2020 • Li Xiao, Biao Cai, Gang Qu, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Resting-state functional magnetic resonance imaging (rs-fMRI)-derived functional connectivity patterns have been extensively utilized to delineate global functional organization of the human brain in health, development, and neuropsychiatric disorders.
no code implementations • 8 Sep 2020 • Qingsong Yao, Li Xiao, Peihang Liu, S. Kevin Zhou
Scarcity of annotated images hampers the building of automated solution for reliable COVID-19 diagnosis and evaluation from CT. To alleviate the burden of data annotation, we herein present a label-free approach for segmenting COVID-19 lesions in CT via pixel-level anomaly modeling that mines out the relevant knowledge from normal CT lung scans.
no code implementations • 8 Jul 2020 • Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou
Annotating multiple organs in medical images is both costly and time-consuming; therefore, existing multi-organ datasets with labels are often low in sample size and mostly partially labeled, that is, a dataset has a few organs labeled but not all organs.
no code implementations • 28 Jun 2020 • Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao, Li Xiao
Previous methods only classify manually segmented single chromosome, which is far from clinical practice.
1 code implementation • 16 Jun 2020 • Aiying Zhang, Gemeng Zhang, Biao Cai, Wenxing Hu, Li Xiao, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
A popular definition of FC is by statistical associations between measured brain regions.
no code implementations • 10 Mar 2020 • Li Xiao, Yufan Luo, Chunlong Luo, Lianhe Zhao, Quanshui Fu, Guoqing Yang, Anpeng Huang, Yi Zhao
Based on these principles, we designed a novel boundary refinement architecture to improve localization accuracy by combining coarse-to-fine framework with feature pyramid structure, named as Pyramidal Bounding Box Refinement network(PBRnet), which parameterizes gradually focused boundary areas of objects and leverages lower-level feature maps to extract finer local information when refining the predicted bounding boxes.
no code implementations • 1 Mar 2020 • Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao
It is worth mention that dense breast typically has a higher risk for developing breast cancers and also are harder for cancer detection in diagnosis, and our method outperforms a reported result from performance of radiologists.
no code implementations • 22 Jan 2020 • Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu Ping Wang
Second, we used causality values as the weight for the directional connectivity between brain regions.
no code implementations • 12 Oct 2019 • Li Xiao, Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao
Chromosome enumeration is an essential but tedious procedure in karyotyping analysis.
1 code implementation • 31 Jan 2019 • Li Xiao, Yijie Peng, Jeff Hong, Zewu Ke, Shuhuai Yang
In this work, we propose a generalized likelihood ratio method capable of training the artificial neural networks with some biological brain-like mechanisms,. e. g., (a) learning by the loss value, (b) learning via neurons with discontinuous activation and loss functions.
1 code implementation • IJCNLP 2019 • Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu
Machine Reading Comprehension (MRC) has become enormously popular recently and has attracted a lot of attention.
no code implementations • 1 Oct 2016 • Jia Xu, Zu-Zhen Huang, Zhi-Rui Wang, Li Xiao, Xiang-Gen Xia, Teng Long
Accordingly, the multichannel SAR systems with different parameters are investigated in three different cases with diverse Doppler ambiguity properties, and a multi-frequency SAR is then proposed to obtain the RV estimation by solving the ambiguity problem based on Chinese remainder theorem (CRT).