no code implementations • 19 Apr 2024 • Hongzhi Qi, Hanfei Liu, Jianqiang Li, Qing Zhao, Wei Zhai, Dan Luo, Tian Yu He, Shuo Liu, Bing Xiang Yang, Guanghui Fu
Seven pre-trained models were evaluated in two tasks: high and low suicide risk, and fine-grained suicide risk classification on a level of 0 to 10.
no code implementations • 17 Apr 2024 • Meng Jiang, Yi Jing Yu, Qing Zhao, Jianqiang Li, Changwei Song, Hongzhi Qi, Wei Zhai, Dan Luo, Xiaoqin Wang, Guanghui Fu, Bing Xiang Yang
Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational thoughts stemming from mental illnesses, but it necessitates precise identification of cognitive pathways to be successfully implemented in patient care.
1 code implementation • 14 Feb 2024 • Wei Zhai, Hongzhi Qi, Qing Zhao, Jianqiang Li, Ziqi Wang, Han Wang, Bing Xiang Yang, Guanghui Fu
To address this, we have collected a huge dataset from Chinese social media platforms and enriched it with publicly available datasets to create a comprehensive database encompassing 3. 36 million text entries.
1 code implementation • 12 Feb 2024 • Yuning Huang, Jingchen Zou, Lanxi Meng, Xin Yue, Qing Zhao, Jianqiang Li, Changwei Song, Gabriel Jimenez, Shaowu Li, Guanghui Fu
Our focus was on understanding the impact of the freezing mechanism on performance.
1 code implementation • 23 Jan 2024 • Dachong Li, Li Li, Zhuangzhuang Chen, Jianqiang Li
Experimental results show that our shift-wise operator significantly improves the accuracy of a regular CNN while markedly reducing computational requirements.
no code implementations • 1 Dec 2023 • Tianyu He, Guanghui Fu, Yijing Yu, Fan Wang, Jianqiang Li, Qing Zhao, Changwei Song, Hongzhi Qi, Dan Luo, Huijing Zou, Bing Xiang Yang
The complexity of psychological principles underscore a significant societal challenge, given the vast social implications of psychological problems.
no code implementations • 24 Nov 2023 • Zhijie Qu, Juan Li, Zerui Ma, Jianqiang Li
Medical dialogue generation relies on natural language generation techniques to enable online medical consultations.
1 code implementation • 18 Nov 2023 • Xin Yue, Qing Zhao, Jianqiang Li, Xiaoling Liu, Changwei Song, Suqin Liu, Guanghui Fu
This innovative framework is specifically designed for weakly supervised lesion segmentation in early-stage breast ultrasound images.
1 code implementation • 7 Sep 2023 • Hongzhi Qi, Qing Zhao, Changwei Song, Wei Zhai, Dan Luo, Shuo Liu, Yi Jing Yu, Fan Wang, Huijing Zou, Bing Xiang Yang, Jianqiang Li, Guanghui Fu
In response, we introduce two novel annotated datasets from Chinese social media, focused on cognitive distortions and suicidal risk classification.
1 code implementation • 29 Aug 2023 • Guanghui Fu, Qing Zhao, Jianqiang Li, Dan Luo, Changwei Song, Wei Zhai, Shuo Liu, Fan Wang, Yan Wang, Lijuan Cheng, Juan Zhang, Bing Xiang Yang
In the contemporary landscape of social media, an alarming number of users express negative emotions, some of which manifest as strong suicidal intentions.
no code implementations • 24 Jul 2023 • Zihao Li, Changkun Jiang, Jianqiang Li
Then, we use GATs to dynamically extract the structural information of non-Euclidean data, and learn general features of the label dataset with contrastive learning by constructing positive and negative example samples.
no code implementations • 9 Jun 2023 • Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li
The emergence of Neural Radiance Fields (NeRF) has promoted the development of synthesized high-fidelity views of the intricate real world.
no code implementations • ICCV 2023 • Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li
However, the vanilla adaptation of the existing oriented object detection methods to the crack detection tasks will result in limited performance, due to the boundary discontinuity issue and the ambiguities in sub-crack orientation.
no code implementations • 23 Jun 2022 • Songbai Liu, Qiuzhen Lin, Jianqiang Li, Kay Chen Tan
This paper begins with a general taxonomy of scaling-up MOPs and learnable MOEAs, followed by an analysis of the challenges that these MOPs pose to traditional MOEAs.
no code implementations • CVPR 2022 • Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li
Despite the substantial progress of deep models for crack recognition, due to the inconsistent cracks in varying sizes, shapes, and noisy background textures, there still lacks the discriminative power of the deeply learned features when supervised by the cross-entropy loss.
1 code implementation • 8 May 2021 • Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song
The proposed framework has the potential to be applied to accurate identification of IoT devices in a variety of IoT applications and services.
1 code implementation • 8 Apr 2021 • Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song
Abnormality detection is essential to the performance of safety-critical and latency-constrained systems.
no code implementations • 25 Jan 2021 • Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song
In this paper, we provide a comprehensive survey on machine learning technologies for the identification of IoT devices along with the detection of compromised or falsified ones from the viewpoint of passive surveillance agents or network operators.
1 code implementation • 27 Aug 2020 • Yongxin Liu, Jian Wang, Jianqiang Li, Houbing Song, Thomas Yang, Shuteng Niu, Zhong Ming
In this paper, we propose an enhanced deep learning framework for IoT device identification using physical layer signals.
no code implementations • IEEE Access ( Volume: 8) 2020 • Xue Xu, SOHYUN JEONG, Jianqiang Li
In this paper, we proposed a combined network of convolutional neural network (CNN) and Recurrent Neural Network (RNN), designed for the classification of ECG heart signals for diagnostic purpose.